Задача: построить модель, предсказывающая отток, оценить качество модели. Оценить гипотетические перспективы использования модели в реальном процессе.¶
In [1]:
import pandas as pd
pd.set_option('mode.chained_assignment', None)
import matplotlib.pyplot as plt
import seaborn as sns
from scipy import stats
import numpy as np
In [2]:
data = pd.read_csv('telco-customer-churn.csv')
In [3]:
data.shape #размер датафрейма
Out[3]:
(20468, 29)
In [4]:
data.info()
<class 'pandas.core.frame.DataFrame'> RangeIndex: 20468 entries, 0 to 20467 Data columns (total 29 columns): age 20468 non-null int64 annualincome 20468 non-null int64 calldroprate 20468 non-null float64 callfailurerate 20468 non-null float64 callingnum 20468 non-null int64 customerid 20468 non-null int64 customersuspended 20468 non-null object education 20468 non-null object gender 20468 non-null object homeowner 20468 non-null object maritalstatus 20468 non-null object monthlybilledamount 20468 non-null int64 noadditionallines 20468 non-null object numberofcomplaints 20468 non-null int64 numberofmonthunpaid 20468 non-null int64 numdayscontractequipmentplanexpiring 20468 non-null int64 occupation 20468 non-null object penaltytoswitch 20468 non-null int64 state 20468 non-null object totalminsusedinlastmonth 20468 non-null int64 unpaidbalance 20468 non-null int64 usesinternetservice 20468 non-null object usesvoiceservice 20468 non-null object percentagecalloutsidenetwork 20468 non-null float64 totalcallduration 20468 non-null int64 avgcallduration 20468 non-null int64 churn 20468 non-null int64 year 20468 non-null int64 month 20468 non-null int64 dtypes: float64(3), int64(16), object(10) memory usage: 4.5+ MB
Пропущенных значений нет ни одного поля
In [5]:
data.head()
Out[5]:
| age | annualincome | calldroprate | callfailurerate | callingnum | customerid | customersuspended | education | gender | homeowner | ... | totalminsusedinlastmonth | unpaidbalance | usesinternetservice | usesvoiceservice | percentagecalloutsidenetwork | totalcallduration | avgcallduration | churn | year | month | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 12 | 168147 | 0.06 | 0.00 | 4251078442 | 1 | Yes | Bachelor or equivalent | Male | Yes | ... | 15 | 19 | No | No | 0.82 | 5971 | 663 | 0 | 2015 | 1 |
| 1 | 12 | 168147 | 0.06 | 0.00 | 4251078442 | 1 | Yes | Bachelor or equivalent | Male | Yes | ... | 15 | 19 | No | No | 0.82 | 3981 | 995 | 0 | 2015 | 2 |
| 2 | 42 | 29047 | 0.05 | 0.01 | 4251043419 | 2 | Yes | Bachelor or equivalent | Female | Yes | ... | 212 | 34 | No | Yes | 0.27 | 7379 | 737 | 0 | 2015 | 1 |
| 3 | 42 | 29047 | 0.05 | 0.01 | 4251043419 | 2 | Yes | Bachelor or equivalent | Female | Yes | ... | 212 | 34 | No | Yes | 0.27 | 1729 | 432 | 0 | 2015 | 2 |
| 4 | 58 | 27076 | 0.07 | 0.02 | 4251055773 | 3 | Yes | Master or equivalent | Female | Yes | ... | 216 | 144 | No | No | 0.48 | 3122 | 624 | 0 | 2015 | 1 |
5 rows × 29 columns
Посмотрим на уникальные значения числовых полей
In [6]:
for i in data:
if data[i].dtypes == int or data[i].dtypes == float:
print('Уникальеые значения поля ' + i + ':')
print(data[i].unique())
Уникальеые значения поля age: [12 42 58 20 36 67 14 45 61 23 39 69 17 48 64 26 72 50 66 29 75 53 31 47 78 56 34 13 28 59 37 15 62 77 40 18 43 21 24 70 27 73 51 76 54 32 57 35 38 16 19 65 22 68 46 71 49 52 30 33 79 60 63 41 44 25 74 55] Уникальеые значения поля annualincome: [168147 29047 27076 ... 67056 65084 120042] Уникальеые значения поля calldroprate: [0.06 0.05 0.07 0. 0.01 0.02 0.03 0.04] Уникальеые значения поля callfailurerate: [0. 0.01 0.02 0.03] Уникальеые значения поля callingnum: [4251078442 4251043419 4251055773 ... 4251050233 4251050074 4251075688] Уникальеые значения поля customerid: [ 1 2 3 ... 9523 9524 9525] Уникальеые значения поля monthlybilledamount: [ 71 8 16 74 81 19 27 85 92 30 37 95 103 41 48 106 114 52 59 117 4 62 70 15 73 18 26 84 91 29 102 40 47 105 113 51 58 116 69 7 14 72 80 109 54 61 119 65 10 75 83 21 28 86 94 32 39 97 104 42 50 108 115 53 6 64 9 17 82 20 93 31 38 96 49 107 60 118 5 63 25 36 101 112 3 68 79 90 35 46 111 57 2 13 78 24 89 100 45 56 1 67 12 23 88 34 99 110 55 66 77 22 33 98 44 0 11 76 87 43] Уникальеые значения поля numberofcomplaints: [0 1 3 2] Уникальеые значения поля numberofmonthunpaid: [7 4 2 5 0 3 6 1] Уникальеые значения поля numdayscontractequipmentplanexpiring: [96 14 55 73 32 91 50 9 68 8 27 67 86 26 45 85 4 44 63 3 22 62 81 21 39 80 98 57 16 75 34 93 33 52 92 11 51 70 10 29 97 56 15 74 69 87 28 46 5 64 23 82 41 0 40 59 99 18 58 77 17 36 76 95 35 54 94 12 53 71 30 89 48 7 66 6 25 65 84 24 43 83 2 42 61 1 20 60 79 19 37 78 90 49 88 13 72 38 47 31] Уникальеые значения поля penaltytoswitch: [371 43 403 76 436 108 468 141 1 173 34 206 66 239 99 271 131 304 164 336 196 369 229 401 261 434 294 466 327 499 359 32 392 64 424 97 457 129 489 162 22 194 54 227 87 259 120 292 152 325 361 33 393 426 98 459 491 24 56 89 121 154 326 186 219 391 252 284 317 349 382 414 447 119 479 12 184 45 217 77 250 110 282 142 315 175 347 207 380 240 412 272 445 305 477 338 10 370 75 435 140 0 205 238 270 303 163 368 228 433 293 498 31 63 96 456 161 21 226 86 291 324 356 389 249 422 454 314 487 19 379 52 84 117 149 182 42 215 247 107 280 312 172 345 377 410 442 475 335 8 40 400 73 105 465 138 170 203 235 268 128 301 333 193 366 398 258 431 463 496 28 61 421 94 126 486 159 191 51 224 256 289 321 354 214 387 419 279 452 484 344 17 49 82 114 147 7 180 212 72 245 277 137 310 342 375 408 440 300 473 5 365 38 70 430 103 135 168 201 233 93 266 298 158 331 363 223 396 428 461 494 26 386 59 91 451 124 156 16 189 221 254 287 319 179 352 384 244 417 449 309 482 14 47 407 80 112 472 145 177 37 210 242 102 275 307 340 200 373 405 265 438 470 330 3 35 395 68 100 133 493 166 198 58 231 263 123 296 328 188 286 351 416 481 79 144 209 274 372 437 2 67 165 230 295 360 65 458 23 88 153 358 251 316 381 446 151 44 109 174 444 337 402 467 237 130 195 260 30 423 488 53 118 323 216 281 346 116 9 74 139 409 302 367 432 202 95 160 225 495 388 453 18 288 181 246 311 81 474 39 104 374 267 332 397 167 60 125 190 460 353 418 483 146 211 276 439 4 69 232 297 362 25 90 155 253 318 383 448 46 111 176 241 339 404 469 132 197 262 425 490 55 218 283 348 413 11 411 204 497 390 455 20 85 290 183 248 313 378 83 476 41 106 171 376 478 150 443 236 269 334 399 464 357 29 62 127 192 257 322 355 420 485 50 115 148 213 278 343 441 6 71 136 169 234 299 364 429 462 27 92 157 222 255 320 385 450 15 48 113 178 243 308 341 406 471 36 101 134 199 264 329 394 427 492 57 122 187 220 285 350 415 480 13 78 143 208 273 306 185] Уникальеые значения поля totalminsusedinlastmonth: [ 15 212 216 412 416 113 116 313 316 13 17 214 217 414 417 114 118 315 318 18 215 219 419 119 320 16 20 220 420 117 121 321 21 218 222 422 122 319 323 322 19 23 223 423 120 124 324 24 221 225 425 125 326 22 26 226 426 123 127 327 27 224 228 428 128 325 329 29 229 429 126 130 330 30 227 231 431 131 328 332 32 232 433 133 333 33 230 234 434 134 331 335 35 235 432 436 136 336 37 233 237 437 137 334 338 38 238 435 439 139 339 36 40 240 440 140 337 341 41 241 438 442 142 342 39 43 243 443 144 340 344 44 244 441 445 145 345 42 46 246 446 143 147 347 47 248 444 448 148 348 45 49 249 449 146 150 350 50 247 251 451 151 351 48 52 252 452 149 153 353 53 250 254 454 154 355 51 55 255 455 152 156 356 56 253 257 457 157 354 358 58 258 458 155 159 359 59 256 260 460 160 357 361 61 261 462 158 162 362 62 259 263 463 163 360 364 64 264 461 465 165 365 66 262 266 466 166 363 367 67 267 464 468 168 368 65 69 269 469 169 366 370 70 270 467 471 171 371 68 72 272 472 173 369 373 73 273 470 474 174 374 71 75 275 475 172 176 376 76 276 473 477 177 377 74 78 278 478 175 179 379 79 280 476 480 180 380 77 81 281 481 178 182 382 82 279 283 483 183 384 80 84 284 484 181 185 385 85 282 286 486 186 383 387 87 287 487 184 188 388 88 285 289 489 189 386 390 90 290 491 187 191 391 91 288 292 492 192 389 393 93 293 490 494 194 394 94 291 295 495 195 392 396 96 296 493 497 197 397 98 298 498 198 395 399 99 299 496 0 200 400 97 101 301 1 202 398 402 102 302 499 3 203 403 100 104 304 4 201 205 405 105 305 2 6 206 406 103 107 307 7 204 208 408 108 309 5 9 209 409 106 110 310 10 207 211 411 111 308 312 12 109 210 311 213 314 415 317 418 421 424 25 427 28 129 31 132 34 135 236 138 239 141 242 343 245 346 447 349 450 352 453 54 456 57 459 60 161 63 164 265 167 268 170 271 372 274 375 277 378 479 381 482 83 485 86 488 89 190 92 193 294 95 196 297 199 300 401 303 404 306 407 8 410 11 112 413 14 115 430] Уникальеые значения поля unpaidbalance: [ 19 34 144 159 143 158 18 33 68 178 193 53 52 67 177 192 191 51 66 176 175 190 50 65 64 174 189 49 48 63 173 188 187 47 62 172 186 46 61 171 170 185 45 60 59 169 184 44 43 58 168 183 218 78 93 203 202 217 77 92 91 201 216 76 75 90 200 215 74 89 199 214 213 73 88 198 197 212 72 87 86 196 211 71 70 85 195 210 209 69 84 194 208 83 82 207 81 206 80 205 204 79 98 113 223 238 97 112 222 237 236 96 111 221 233 128 163 23 108 38 3 148 57 182 56 181 160 20 35 145 55 180 179 54 104 229 103 228 227 102 232 247 107 122 231 246 106 121 230 245 105 120 155 15 30 140 100 225 119 14 29 139 154 244 118 243 242 117 116 226 11 95 10 25 240 135 220 115 150 9 24 134 149 133 8 7 22 132 147 110 235 5 130 129 4 142 2 17 127 126 141 1 16 125 0 157 32 156 31 136 99 224 28 153 27 42 152 167 6 41 151 166 131 26 241 40 165 164 94 239 39 219 114 162 37 21 36 146 161 124 234 249 109 123 248 138 13 12 137 101] Уникальеые значения поля percentagecalloutsidenetwork: [0.82 0.27 0.48 0.94 0.15 0.61 0.28 0.49 0.16 0.95 0.83 0.81 0.02 0.69 0.36 0.03 0.7 0.37 0.04 0.71 0.5 0.17 0.38 0.05 0.84 0.72 0.51 0.18 0.39 0.06 0.85 0.73 0.52 0.4 0.19 0.86 0.07 0.74 0.53 0.41 0.2 0.87 0.08 0.75 0.54 0.42 0.21 0.88 0.09 0.76 0.55 0.43 0.22 0.89 0.1 0.77 0.56 0.44 0.23 0.11 0.9 0.57 0.78 0.45 0.24 0.12 0.91 0.58 0.79 0.46 0.25 0.13 0.92 0.59 0.8 0.47 0.26 0.14 0.93 0.6 0.62 0.29 0.96 0.63 0.3 0.97 0.64 0.31 0.98 0.65 0.32 0.99 0.66 0.33 0. 0.67 0.34 0.01 0.68 0.35] Уникальеые значения поля totalcallduration: [5971 3981 7379 ... 3871 7651 7200] Уникальеые значения поля avgcallduration: [ 663 995 737 ... 207 1302 1249] Уникальеые значения поля churn: [0 1] Уникальеые значения поля year: [2015] Уникальеые значения поля month: [1 2 3]
Необходимо отметить (поле month), что данные предоставлены в динамике (3 месяца), а идентифицирующие поля callingnum, customerid дублируются, поэтому необходимо выяснить что изменяется в динамике.
In [7]:
len(data.groupby('callingnum').size()) #уникальные клиенты в датафрейме
Out[7]:
9525
In [8]:
len(data.groupby(['callingnum', 'age', 'annualincome', 'customerid', 'calldroprate', 'callfailurerate','customersuspended','education','gender','homeowner','maritalstatus','monthlybilledamount','noadditionallines','numberofcomplaints','numberofmonthunpaid','numdayscontractequipmentplanexpiring','occupation','penaltytoswitch','state','totalminsusedinlastmonth','unpaidbalance','usesinternetservice','usesvoiceservice','percentagecalloutsidenetwork','churn']).size())
Out[8]:
9525
Таким образом, показателями в динамике являются totalcallduration, avgcallduration, которые можно преобразовать: totalcallduration - просуммировать, avgcallduration - найти среднюю в разрезе клиентов и получить уникальные callingnum.
In [9]:
sum_totalcallduration = pd.DataFrame(data.groupby('callingnum', as_index=False)['totalcallduration'].sum())
In [10]:
avg_avgcallduration = pd.DataFrame(data.groupby('callingnum', as_index=False)['avgcallduration'].mean())
In [11]:
unique_callingnum = data[['age', 'annualincome', 'calldroprate', 'callfailurerate', 'callingnum', 'customerid', 'customersuspended', 'education', 'gender', 'homeowner', 'maritalstatus', 'monthlybilledamount', 'noadditionallines', 'numberofcomplaints', 'numberofmonthunpaid','numdayscontractequipmentplanexpiring','occupation','penaltytoswitch','state','totalminsusedinlastmonth','unpaidbalance','usesinternetservice','usesvoiceservice','percentagecalloutsidenetwork','churn']].drop_duplicates()
In [12]:
data_gr_month = pd.merge(pd.merge(unique_callingnum, sum_totalcallduration, on = 'callingnum', how = 'left'), avg_avgcallduration, on = 'callingnum' ,how = 'left')
In [13]:
data_gr_month.head()
Out[13]:
| age | annualincome | calldroprate | callfailurerate | callingnum | customerid | customersuspended | education | gender | homeowner | ... | penaltytoswitch | state | totalminsusedinlastmonth | unpaidbalance | usesinternetservice | usesvoiceservice | percentagecalloutsidenetwork | churn | totalcallduration | avgcallduration | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 12 | 168147 | 0.06 | 0.00 | 4251078442 | 1 | Yes | Bachelor or equivalent | Male | Yes | ... | 371 | WA | 15 | 19 | No | No | 0.82 | 0 | 9952 | 829.0 |
| 1 | 42 | 29047 | 0.05 | 0.01 | 4251043419 | 2 | Yes | Bachelor or equivalent | Female | Yes | ... | 43 | WI | 212 | 34 | No | Yes | 0.27 | 0 | 9108 | 584.5 |
| 2 | 58 | 27076 | 0.07 | 0.02 | 4251055773 | 3 | Yes | Master or equivalent | Female | Yes | ... | 403 | KS | 216 | 144 | No | No | 0.48 | 0 | 5891 | 588.5 |
| 3 | 20 | 137977 | 0.05 | 0.03 | 4251042488 | 4 | Yes | PhD or equivalent | Male | No | ... | 76 | KY | 412 | 159 | Yes | No | 0.94 | 0 | 6702 | 836.0 |
| 4 | 36 | 136006 | 0.07 | 0.00 | 4251073177 | 5 | Yes | High School or below | Male | Yes | ... | 436 | ND | 416 | 19 | No | No | 0.15 | 0 | 4488 | 747.5 |
5 rows × 27 columns
In [14]:
data_gr_month.shape
Out[14]:
(9525, 27)
In [15]:
data_gr_month['churn'].value_counts().plot(kind='bar', label='churn')
plt.title('Распределение оттока клиентов');
Отметим значительный дисбаланс целевой переменной, это необходимо учитывать при построении модели.
Посмотрим на попарное влияние вещественных признаков относительно целевой переменной (признаки calldroprate, callfailurerate, numberofcomplaints, numberofmonthunpaid являются дискретными и будут рассмотрены отдельно)
In [16]:
tem_data = data_gr_month[['age','annualincome', 'monthlybilledamount', 'numdayscontractequipmentplanexpiring','penaltytoswitch','totalminsusedinlastmonth','unpaidbalance','percentagecalloutsidenetwork','totalcallduration','avgcallduration', 'churn']]
In [17]:
sns.pairplot(tem_data, hue = 'churn') #указываем дата_фрейм и столбец с номинативнями переменными + выводится корреляция пар признаков
Out[17]:
<seaborn.axisgrid.PairGrid at 0x1a20c03748>
Рисунок 1 - Попарные зависисмости вещественных признаковИз рисунка 1 видно, что корреляция только между totalcallduration, avgcallduration. Вероятно, что avgcallduration рассчитывается на основании totalcallduration и является избыточной информацией.
Рассмотрим влияние целевой переменной на каждый вещественный признак и оценим статистическую значимость влияния с помощью анализа ANOVA.
In [18]:
fig, axes = plt.subplots(nrows=3, ncols=4, figsize=(20, 15))
for idx, i in enumerate(tem_data):
sns.boxplot(x='churn', y=i, data=tem_data, ax=axes[idx // 4, idx % 4])
Рисунок 2 - Влияние целевого признака на вещественныйIn [20]:
for i in tem_data:
f_val, p_val = stats.f_oneway(tem_data[i][tem_data['churn'] == 1], tem_data[i][tem_data['churn'] == 0])
print("Влияние churn на " + i + " (ANOVA) P_value =", p_val)
Влияние churn на age (ANOVA) P_value = 1.4435220218454643e-39 Влияние churn на annualincome (ANOVA) P_value = 0.7530530691024865 Влияние churn на monthlybilledamount (ANOVA) P_value = 0.2755957009099034 Влияние churn на numdayscontractequipmentplanexpiring (ANOVA) P_value = 0.11118996563623736 Влияние churn на penaltytoswitch (ANOVA) P_value = 0.908069651942213 Влияние churn на totalminsusedinlastmonth (ANOVA) P_value = 0.6951790746769249 Влияние churn на unpaidbalance (ANOVA) P_value = 9.948830666634776e-06 Влияние churn на percentagecalloutsidenetwork (ANOVA) P_value = 0.14872786083190265 Влияние churn на totalcallduration (ANOVA) P_value = 0.3399556812459973 Влияние churn на avgcallduration (ANOVA) P_value = 0.8553707960741448 Влияние churn на churn (ANOVA) P_value = 0.0
In [21]:
tem_data.describe() #рассмотрим статистики вещественных признаков
Out[21]:
| age | annualincome | monthlybilledamount | numdayscontractequipmentplanexpiring | penaltytoswitch | totalminsusedinlastmonth | unpaidbalance | percentagecalloutsidenetwork | totalcallduration | avgcallduration | churn | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| count | 9525.000000 | 9525.000000 | 9525.000000 | 9525.000000 | 9525.000000 | 9525.000000 | 9525.000000 | 9525.000000 | 9525.000000 | 9525.000000 | 9525.000000 |
| mean | 45.358320 | 124675.519055 | 59.632546 | 49.392861 | 248.951076 | 249.738583 | 126.820682 | 0.495915 | 7567.672441 | 721.689046 | 0.090394 |
| std | 19.616188 | 72182.704410 | 34.653617 | 28.899349 | 144.153548 | 144.265657 | 70.355124 | 0.288097 | 2666.661696 | 150.113683 | 0.286760 |
| min | 12.000000 | 4.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 0.000000 | 382.000000 | 109.000000 | 0.000000 |
| 25% | 28.000000 | 62233.000000 | 29.000000 | 24.000000 | 125.000000 | 126.000000 | 66.000000 | 0.250000 | 5710.000000 | 621.000000 | 0.000000 |
| 50% | 45.000000 | 124637.000000 | 60.000000 | 49.000000 | 249.000000 | 249.000000 | 123.000000 | 0.500000 | 7395.000000 | 722.000000 | 0.000000 |
| 75% | 62.000000 | 187388.000000 | 90.000000 | 74.000000 | 373.000000 | 375.000000 | 191.000000 | 0.750000 | 9323.000000 | 822.666667 | 0.000000 |
| max | 79.000000 | 249987.000000 | 119.000000 | 99.000000 | 499.000000 | 499.000000 | 249.000000 | 0.990000 | 18399.000000 | 1274.500000 | 1.000000 |
Выводы: Влияние на целевую переменную оказывает возраст (age) (более молодое поколение чаще отказывается от услуг связи). Чем больше неоплаченный остаток (unpaidbalance), тем чаще клиент отказывается от услуг связи, что логично. Ежегодные доходы (annualincome) не оказывают влияния и имеют значительную дисперсию.
Стоит обратить внимание на следующие признаки: percentagecalloutsidenetwork и numdayscontractequipmentplanexpiring. Преобразуем признаки по определенному порогу в бинарные переменные и оценим влияние при помощи хи-квадрат.
In [22]:
cat_callout = []
for i in tem_data['percentagecalloutsidenetwork']:
if i > 0.45: cat_callout.append(1)
else: cat_callout.append(0)
tem_data['cat_callout'] = cat_callout
In [23]:
sns.countplot(x='cat_callout', hue='churn', data=tem_data);
In [24]:
table = pd.crosstab(tem_data['churn'], tem_data['cat_callout'])
chi2, prob, df, expected = scipy.stats.chi2_contingency(table)
output = "test Statistics: {}\ndegrees of freedom: {}\np-value: {}\n"
print(output.format( chi2, df, prob))
--------------------------------------------------------------------------- NameError Traceback (most recent call last) <ipython-input-24-e6cfb4e0210d> in <module>() 1 table = pd.crosstab(tem_data['churn'], tem_data['cat_callout']) ----> 2 chi2, prob, df, expected = scipy.stats.chi2_contingency(table) 3 output = "test Statistics: {}\ndegrees of freedom: {}\np-value: {}\n" 4 print(output.format( chi2, df, prob)) NameError: name 'scipy' is not defined
Вывод: Вероятно, что percentagecalloutsidenetwork - роуминг в сети. Если преобразовать выборку в бинарную переменную (на 1 более 0.45 и 0 менее 0.45, 0.45 выбрана как средняя при churn = 1), то можно сделать вывод, чем больше доля вызовов за пределами сети, тем клиент реже отказывается от услуг связи, это как конкурентное преимущество! Преобразование numdayscontractequipmentplanexpiring не оказало значимых результатов. В модели percentagecalloutsidenetwork также можно использовать как бинарную переменную.
In [25]:
cat_callout = []
for i in data_gr_month['percentagecalloutsidenetwork']:
if i > 0.45: cat_callout.append(1)
else: cat_callout.append(0)
data_gr_month['percentagecalloutsidenetwork'] = cat_callout
Посмотрим на уникальные значения категориальных переменных¶
In [26]:
for i in data:
if data[i].dtypes == object:
print('Уникальеые значения поля ' + i + ':')
print(data[i].unique())
Уникальеые значения поля customersuspended: ['Yes' 'No'] Уникальеые значения поля education: ['Bachelor or equivalent' 'Master or equivalent' 'PhD or equivalent' 'High School or below'] Уникальеые значения поля gender: ['Male' 'Female'] Уникальеые значения поля homeowner: ['Yes' 'No'] Уникальеые значения поля maritalstatus: ['Single' 'Married'] Уникальеые значения поля noadditionallines: ['\\N'] Уникальеые значения поля occupation: ['Technology Related Job' 'Non-technology Related Job' 'Others'] Уникальеые значения поля state: ['WA' 'WI' 'KS' 'KY' 'ND' 'OK' 'AZ' 'CA' 'MI' 'MN' 'SC' 'TN' 'FL' 'HI' 'NV' 'NH' 'VA' 'WV' 'IA' 'OH' 'AK' 'AR' 'MA' 'SD' 'DE' 'GA' 'NE' 'IN' 'NC' 'MD' 'RI' 'MT' 'VT' 'CO' 'MO' 'UT' 'ID' 'NM' 'WY' 'LA' 'OR' 'MS' 'TX' 'NJ' 'NY' 'AL' 'PA' 'CT' 'IL' 'ME'] Уникальеые значения поля usesinternetservice: ['No' 'Yes'] Уникальеые значения поля usesvoiceservice: ['No' 'Yes']
Произведем анализ таблиц сопряженности и оценим значимость категориальных переменных с помощью хи-квадрат
In [27]:
cat_list = ['customersuspended','education','gender','homeowner','maritalstatus','occupation','usesinternetservice','usesvoiceservice','calldroprate','callfailurerate','numberofcomplaints','numberofmonthunpaid']
fig, axes = plt.subplots(nrows=3, ncols=4, figsize=(20, 15))
for idx, i in enumerate(cat_list):
sns.countplot(x=i, hue='churn', data=data_gr_month, ax=axes[idx // 4, idx % 4]);
In [28]:
#в state много переменных и неудобно смотреть на графике
data_gr_month.groupby(['state'])['churn'].agg([np.mean]).sort_values(by='mean', ascending=False).T
Out[28]:
| state | SC | CA | IA | OK | ND | UT | AR | KY | NY | WV | ... | GA | IN | TN | MN | MD | LA | NJ | AL | NE | VT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| mean | 0.15508 | 0.136792 | 0.117949 | 0.11236 | 0.111111 | 0.11 | 0.109756 | 0.109005 | 0.108491 | 0.108434 | ... | 0.075949 | 0.075758 | 0.072289 | 0.07109 | 0.065421 | 0.058824 | 0.056818 | 0.050955 | 0.050847 | 0.034884 |
1 rows × 50 columns
Рисунок 3 - Влияние категориальных признаков на целевойIn [29]:
for i in ['customersuspended','education','gender','homeowner','maritalstatus','occupation','usesinternetservice','usesvoiceservice','calldroprate','callfailurerate','numberofcomplaints','numberofmonthunpaid', 'state']:
table = pd.crosstab(data_gr_month['churn'], data_gr_month[i])
chi2, prob, df, expected = scipy.stats.chi2_contingency(table)
output = "test Statistics: {}\ndegrees of freedom: {}\n" + i + " p-value: {}\n"
print(output.format( chi2, df, prob))
--------------------------------------------------------------------------- NameError Traceback (most recent call last) <ipython-input-29-a39cfeebe954> in <module>() 1 for i in ['customersuspended','education','gender','homeowner','maritalstatus','occupation','usesinternetservice','usesvoiceservice','calldroprate','callfailurerate','numberofcomplaints','numberofmonthunpaid', 'state']: 2 table = pd.crosstab(data_gr_month['churn'], data_gr_month[i]) ----> 3 chi2, prob, df, expected = scipy.stats.chi2_contingency(table) 4 output = "test Statistics: {}\ndegrees of freedom: {}\n" + i + " p-value: {}\n" 5 print(output.format( chi2, df, prob)) NameError: name 'scipy' is not defined
Вывод: Самая влиятельная категориальная переменная это количесвто жалоб (numberofcomplaints), с 3 жалобы доля оттока в 2 раза возрастает. Значимое влияние также оказывает переменная maritalstatus, одинокие люди отказываются от связи чаще (возможно связано с семейными тарифами). Доля отказов в State распределена в основном равномерна, хотя есть регионы с низкой долей (3 %) и есть высокие (15 %). Рекомендуется в таком регионе провести отдельное исследование.
отбор призанков с использованеим деревьв¶
In [30]:
X = data_gr_month.drop('churn', axis = 1)
y = data_gr_month['churn']
Категориальные признаки будут закодированы one-hot encoding, для этого реализована функция.
In [31]:
def code_one_encoding(data, feature):
for i in data[feature].unique():
data[feature + '=' + i] = (data[feature] == i).astype(float)
In [32]:
X = X.drop('noadditionallines', axis = 1)
X = X.drop('callingnum', axis = 1)
X = X.drop('customerid', axis = 1)
cat_list_one_encod = ['customersuspended','education','gender','homeowner','maritalstatus','occupation','usesinternetservice','usesvoiceservice', 'state']
for i in cat_list_one_encod:
code_one_encoding(X, i)
X = X.drop(i, axis = 1)
In [33]:
from sklearn import metrics
from sklearn.ensemble import ExtraTreesClassifier
model = ExtraTreesClassifier(class_weight='balanced', random_state=0)
model.fit(X, y)
/anaconda3/lib/python3.6/site-packages/sklearn/ensemble/weight_boosting.py:29: DeprecationWarning: numpy.core.umath_tests is an internal NumPy module and should not be imported. It will be removed in a future NumPy release. from numpy.core.umath_tests import inner1d
Out[33]:
ExtraTreesClassifier(bootstrap=False, class_weight='balanced',
criterion='gini', max_depth=None, max_features='auto',
max_leaf_nodes=None, min_impurity_decrease=0.0,
min_impurity_split=None, min_samples_leaf=1,
min_samples_split=2, min_weight_fraction_leaf=0.0,
n_estimators=10, n_jobs=1, oob_score=False, random_state=0,
verbose=0, warm_start=False)
In [34]:
d = dict(zip(X.columns, model.feature_importances_))
print("Приоритет признаков по модели ExtraTreesClassifier: ")
for i in sorted(d, key = d.get, reverse=True):
print(i, d[i])
Приоритет признаков по модели ExtraTreesClassifier: age 0.08274459583855943 numberofcomplaints 0.0459898581671232 unpaidbalance 0.04414438957464527 numberofmonthunpaid 0.03471091261984614 numdayscontractequipmentplanexpiring 0.034698488560530795 annualincome 0.034316037870784286 totalminsusedinlastmonth 0.03364158207712618 monthlybilledamount 0.03331677013104747 callfailurerate 0.032958015229210366 calldroprate 0.03239678613862694 totalcallduration 0.03151655694391816 penaltytoswitch 0.030851211048503004 avgcallduration 0.029014065039425045 percentagecalloutsidenetwork 0.020222656695617233 occupation=Others 0.018134609856478592 gender=Male 0.018044798666906236 gender=Female 0.01797646103602145 education=Bachelor or equivalent 0.016894235976499628 education=High School or below 0.016715533041928514 occupation=Technology Related Job 0.016131836591123015 maritalstatus=Married 0.015485194699970293 occupation=Non-technology Related Job 0.015307585376488972 maritalstatus=Single 0.014646058945210969 homeowner=Yes 0.014248815138066789 homeowner=No 0.012648476067122636 education=Master or equivalent 0.010046246832340637 usesvoiceservice=No 0.009710911370079327 usesvoiceservice=Yes 0.008946591792749117 education=PhD or equivalent 0.00752700925380814 state=NH 0.0065854065422295575 state=NY 0.0064883417884579716 state=PA 0.006486242939984089 state=WI 0.006346971200275763 state=ND 0.006255099861387892 state=NM 0.006074162280641659 state=CO 0.005982443831423886 state=HI 0.005912604500356555 state=RI 0.005792375402418562 state=UT 0.005711066327446687 state=CT 0.005673738390613753 state=CA 0.005640679434967304 state=MT 0.005585333564344147 state=KY 0.005526286543632904 state=WV 0.0054473936407110745 state=WY 0.00540917373410263 state=AZ 0.0053751331679205636 state=AK 0.005362450040977088 state=IL 0.005298181728114807 state=IN 0.00519737621392298 state=MI 0.005195047787720158 state=TX 0.005185906560948137 state=SD 0.005153015282516298 state=MS 0.005149201740628188 state=FL 0.005124782952092541 state=MO 0.00510770213217751 state=MD 0.005103615064689694 state=GA 0.004949108792639381 state=NV 0.004943206873394658 state=MN 0.004941252281364515 state=OH 0.004876263352575579 state=IA 0.004823378251771913 state=SC 0.004760706996543597 state=NC 0.004546688461386284 state=OK 0.004449266383868172 state=VT 0.00444386650177373 state=VA 0.0044390565908876255 state=DE 0.004435947771403843 state=MA 0.004419000862476267 state=ID 0.004400294485867127 usesinternetservice=Yes 0.004397649898173935 state=OR 0.004384536927288926 state=ME 0.004327983995383721 state=NJ 0.004182300519816997 state=LA 0.004122042530169116 state=NE 0.004103530041193617 state=WA 0.004021410521368138 state=TN 0.0039514664450706885 usesinternetservice=No 0.00394433001633257 state=KS 0.003865596745157756 state=AR 0.0036080868934212315 customersuspended=Yes 0.003582876689923087 customersuspended=No 0.003034834242769179 state=AL 0.002889293693518101
Данная модель выделила также значимо age и unpaidbalance из вещественных, numberofcomplaints, percentagecalloutsidenetwork из категориальных
Таким образом, отобраны следующие признаки: age, numberofcomplaints, unpaidbalance, percentagecalloutsidenetwork, churn, totalcallduration, education, maritalstatus, callfailurerate, numdayscontractequipmentplanexpiring и целевая переменная churn
Удаление признаков
In [35]:
data_model = data_gr_month
best_features = ['age', 'numberofcomplaints', 'unpaidbalance', 'percentagecalloutsidenetwork', 'churn', 'totalcallduration', 'education', 'maritalstatus', 'callfailurerate', 'numdayscontractequipmentplanexpiring', 'churn']
for i in data_model:
if i not in best_features:
data_model = data_model.drop(i, axis = 1)
In [36]:
#преобразуем категориальные призанаки
for i in ['education','maritalstatus']:
code_one_encoding(data_model, i)
data_model = data_model.drop(i, axis = 1)
Нормализуем вещественные признаки, можно сделать с помощью стандартных библиотек, для прозрачности пропишем формулу вручную.
In [37]:
num_list = ['age','numdayscontractequipmentplanexpiring','unpaidbalance', 'totalcallduration']
for i in num_list:
data_model[i] = (data_model[i] - data_model[i].mean()) / data_model[i].std()
In [38]:
data_model.head() # итоговый набор данных для моделей
Out[38]:
| age | callfailurerate | numberofcomplaints | numdayscontractequipmentplanexpiring | unpaidbalance | percentagecalloutsidenetwork | churn | totalcallduration | education=Bachelor or equivalent | education=Master or equivalent | education=PhD or equivalent | education=High School or below | maritalstatus=Single | maritalstatus=Married | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | -1.700551 | 0.00 | 0 | 1.612740 | -1.532521 | 1 | 0 | 0.894125 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 |
| 1 | -0.171201 | 0.01 | 1 | -1.224694 | -1.319317 | 0 | 0 | 0.577624 | 1.0 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 |
| 2 | 0.644451 | 0.02 | 0 | 0.194023 | 0.244180 | 1 | 0 | -0.628753 | 0.0 | 1.0 | 0.0 | 0.0 | 1.0 | 0.0 |
| 3 | -1.292724 | 0.03 | 1 | 0.816874 | 0.457384 | 1 | 0 | -0.324628 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 | 0.0 |
| 4 | -0.477071 | 0.00 | 0 | -1.224694 | -1.532521 | 0 | 0 | -1.154879 | 0.0 | 0.0 | 0.0 | 1.0 | 0.0 | 1.0 |
In [39]:
X = data_model.drop('churn', axis = 1)
y = data_model['churn']
Спроецируем сформированное векторное пространство на двумерное
In [40]:
from sklearn.manifold import TSNE
tsne = TSNE(random_state=0)
tsne_representation = tsne.fit_transform(X)
plt.scatter(tsne_representation[:, 0], tsne_representation[:, 1],
c=data_model['churn'].map({0: 'blue', 1: 'orange'}));
Рисунок 4 - Векторное пространство признаков
Вывод: К сожалению, churn = 1 распределен по всему пространству, но все же есть области где churn = 1 сконцентрирован
Выбор модели (baseline)¶
На практике для каждой модели нужно настраивать гиперпараметры (значение одного параметра может кардинально менять метрики качетсва). Ниже показано в качетсве примера реализации моделей в основном с параметрами по default. В качестве метрики выбрана ROC_AUC.
In [42]:
from sklearn.cross_validation import train_test_split
(X_train, X_test, y_train, y_test) = train_test_split(X, y, test_size=0.3, random_state=0)
Логистическая регрессия
In [43]:
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import roc_auc_score
In [44]:
model = LogisticRegression(class_weight='balanced', random_state=0)
model.fit(X_train, y_train)
y_predict = model.predict(X_test)
In [45]:
print("ROC_AUC модели: " + str(roc_auc_score(y_test, y_predict)))
print("Другие метрик модели:")
print(metrics.classification_report(y_test, y_predict))
print("TP, FP, FN, TN:")
print(metrics.confusion_matrix(y_test, y_predict))
ROC_AUC модели: 0.5976211794515709
Другие метрик модели:
precision recall f1-score support
0 0.94 0.63 0.75 2606
1 0.13 0.57 0.21 252
avg / total 0.87 0.62 0.70 2858
TP, FP, FN, TN:
[[1636 970]
[ 109 143]]
Метод опорных векторов
In [46]:
from sklearn.svm import SVC
model = SVC(class_weight='balanced', random_state = 0)
model.fit(X_train, y_train)
y_predict = model.predict(X_test)
In [47]:
print("ROC_AUC модели: " + str(roc_auc_score(y_test, y_predict)))
print("Другие метрик модели:")
print(metrics.classification_report(y_test, y_predict))
print("TP, FP, FN, TN:")
print(metrics.confusion_matrix(y_test, y_predict))
ROC_AUC модели: 0.6305732193107481
Другие метрик модели:
precision recall f1-score support
0 0.96 0.49 0.65 2606
1 0.13 0.77 0.22 252
avg / total 0.88 0.51 0.61 2858
TP, FP, FN, TN:
[[1270 1336]
[ 57 195]]
k-means
In [48]:
from sklearn.neighbors import KNeighborsClassifier
model = KNeighborsClassifier()
model.fit(X_train, y_train)
y_predict = model.predict(X_test)
In [49]:
print("ROC_AUC модели: " + str(roc_auc_score(y_test, y_predict)))
print("Другие метрик модели:")
print(metrics.classification_report(y_test, y_predict))
print("TP, FP, FN, TN:")
print(metrics.confusion_matrix(y_test, y_predict))
ROC_AUC модели: 0.5001309554264274
Другие метрик модели:
precision recall f1-score support
0 0.91 0.99 0.95 2606
1 0.09 0.01 0.01 252
avg / total 0.84 0.91 0.87 2858
TP, FP, FN, TN:
[[2586 20]
[ 250 2]]
Случайный лес
In [50]:
from sklearn.ensemble import RandomForestClassifier
model = RandomForestClassifier(class_weight = 'balanced', random_state = 0)
model.fit(X_train, y_train)
y_predict = model.predict(X_test)
In [51]:
print("ROC_AUC модели: " + str(roc_auc_score(y_test, y_predict)))
print("Другие метрик модели:")
print(metrics.classification_report(y_test, y_predict))
print("TP, FP, FN, TN:")
print(metrics.confusion_matrix(y_test, y_predict))
ROC_AUC модели: 0.5004492075673964
Другие метрик модели:
precision recall f1-score support
0 0.91 1.00 0.95 2606
1 0.11 0.00 0.01 252
avg / total 0.84 0.91 0.87 2858
TP, FP, FN, TN:
[[2598 8]
[ 251 1]]
Наивный байес
In [52]:
from sklearn.naive_bayes import GaussianNB
model = GaussianNB()
model.fit(X_train, y_train)
y_predict = model.predict(X_test)
In [53]:
print("ROC_AUC модели: " + str(roc_auc_score(y_test, y_predict)))
print("Другие метрик модели:")
print(metrics.classification_report(y_test, y_predict))
print("TP, FP, FN, TN:")
print(metrics.confusion_matrix(y_test, y_predict))
ROC_AUC модели: 0.501984126984127
Другие метрик модели:
precision recall f1-score support
0 0.91 1.00 0.95 2606
1 1.00 0.00 0.01 252
avg / total 0.92 0.91 0.87 2858
TP, FP, FN, TN:
[[2606 0]
[ 251 1]]
По Default параметрам метод опорных векторов показывает лучшие результаты.
Настройка гиперпараметров для логистической регрессиии по сетки¶
In [54]:
model = LogisticRegression(class_weight='balanced', random_state = 0)
In [55]:
model.get_params().keys()
Out[55]:
dict_keys(['C', 'class_weight', 'dual', 'fit_intercept', 'intercept_scaling', 'max_iter', 'multi_class', 'n_jobs', 'penalty', 'random_state', 'solver', 'tol', 'verbose', 'warm_start'])
In [56]:
parametrs_grid = {
'penalty' : ['l1','l2'],
'C' : [0.0001, 0.001, 0.01, 0.1, 1, 10, 100],
'max_iter' : [1, 10,100],
}
In [57]:
from sklearn import cross_validation
cv = cross_validation.StratifiedShuffleSplit(y_train, n_iter = 10,test_size = 0.3, random_state = 0)
In [58]:
from sklearn import grid_search
grid_cv = grid_search.GridSearchCV(model, parametrs_grid, scoring = 'roc_auc', cv = cv)
/anaconda3/lib/python3.6/site-packages/sklearn/grid_search.py:42: DeprecationWarning: This module was deprecated in version 0.18 in favor of the model_selection module into which all the refactored classes and functions are moved. This module will be removed in 0.20. DeprecationWarning)
In [59]:
grid_cv.fit(X_train, y_train)
Out[59]:
GridSearchCV(cv=StratifiedShuffleSplit(labels=[1 0 ... 0 0], n_iter=10, test_size=0.3, random_state=0),
error_score='raise',
estimator=LogisticRegression(C=1.0, class_weight='balanced', dual=False,
fit_intercept=True, intercept_scaling=1, max_iter=100,
multi_class='ovr', n_jobs=1, penalty='l2', random_state=0,
solver='liblinear', tol=0.0001, verbose=0, warm_start=False),
fit_params={}, iid=True, n_jobs=1,
param_grid={'penalty': ['l1', 'l2'], 'C': [0.0001, 0.001, 0.01, 0.1, 1, 10, 100], 'max_iter': [1, 10, 100]},
pre_dispatch='2*n_jobs', refit=True, scoring='roc_auc', verbose=0)
In [60]:
grid_cv.best_estimator_
Out[60]:
LogisticRegression(C=0.1, class_weight='balanced', dual=False,
fit_intercept=True, intercept_scaling=1, max_iter=100,
multi_class='ovr', n_jobs=1, penalty='l1', random_state=0,
solver='liblinear', tol=0.0001, verbose=0, warm_start=False)
In [61]:
grid_cv.best_score_
Out[61]:
0.6610897701792036
Проверим на тестовой выборке
In [62]:
y_predict = grid_cv.predict(X_test)
In [63]:
print("ROC_AUC модели: " + str(roc_auc_score(y_test, y_predict)))
print("Другие метрик модели:")
print(metrics.classification_report(y_test, y_predict))
print("TP, FP, FN, TN:")
print(metrics.confusion_matrix(y_test, y_predict))
ROC_AUC модели: 0.5934001510555617
Другие метрик модели:
precision recall f1-score support
0 0.94 0.62 0.75 2606
1 0.13 0.57 0.21 252
avg / total 0.87 0.61 0.70 2858
TP, FP, FN, TN:
[[1614 992]
[ 109 143]]
In [64]:
from sklearn import metrics
sns.set(font_scale=1.5)
sns.set_color_codes("muted")
plt.figure(figsize=(10, 8))
fpr, tpr, thresholds = metrics.roc_curve(y_test, grid_cv.predict_proba(X_test)[:,1], pos_label=1)
lw = 2
plt.plot(fpr, tpr, lw=lw, label='ROC curve ')
plt.plot([0, 1], [0, 1])
plt.xlim([0.0, 1.0])
plt.ylim([0.0, 1.05])
plt.xlabel('False Positive Rate')
plt.ylabel('True Positive Rate')
plt.title('ROC curve')
plt.show()
Рисунок 5 - ROC_AUC для логистической регрессии Настройка гиперпараметров для случайного леса по сетки¶
In [77]:
model = RandomForestClassifier(class_weight='balanced', random_state = 0)
model.get_params().keys()
Out[77]:
dict_keys(['bootstrap', 'class_weight', 'criterion', 'max_depth', 'max_features', 'max_leaf_nodes', 'min_impurity_decrease', 'min_impurity_split', 'min_samples_leaf', 'min_samples_split', 'min_weight_fraction_leaf', 'n_estimators', 'n_jobs', 'oob_score', 'random_state', 'verbose', 'warm_start'])
In [78]:
parametrs_grid = {
'max_depth' : [2, 5, 15, 20, 50, 100],
'n_estimators' : [5, 10, 20, 50, 200],
'max_features' : [3, 5, 7, 10],
}
In [79]:
cv = cross_validation.StratifiedShuffleSplit(y_train, n_iter = 10,test_size = 0.3, random_state = 0)
In [80]:
grid_cv = grid_search.GridSearchCV(model, parametrs_grid, scoring = 'roc_auc', cv = cv)
In [81]:
grid_cv.fit(X_train, y_train)
Out[81]:
GridSearchCV(cv=StratifiedShuffleSplit(labels=[1 0 ... 0 0], n_iter=10, test_size=0.3, random_state=0),
error_score='raise',
estimator=RandomForestClassifier(bootstrap=True, class_weight='balanced',
criterion='gini', max_depth=None, max_features='auto',
max_leaf_nodes=None, min_impurity_decrease=0.0,
min_impurity_split=None, min_samples_leaf=1,
min_samples_split=2, min_weight_fraction_leaf=0.0,
n_estimators=10, n_jobs=1, oob_score=False, random_state=0,
verbose=0, warm_start=False),
fit_params={}, iid=True, n_jobs=1,
param_grid={'max_depth': [2, 5, 15, 20, 50, 100], 'n_estimators': [5, 10, 20, 50, 200], 'max_features': [3, 5, 7, 10]},
pre_dispatch='2*n_jobs', refit=True, scoring='roc_auc', verbose=0)
In [82]:
grid_cv.best_estimator_
Out[82]:
RandomForestClassifier(bootstrap=True, class_weight='balanced',
criterion='gini', max_depth=5, max_features=3,
max_leaf_nodes=None, min_impurity_decrease=0.0,
min_impurity_split=None, min_samples_leaf=1,
min_samples_split=2, min_weight_fraction_leaf=0.0,
n_estimators=50, n_jobs=1, oob_score=False, random_state=0,
verbose=0, warm_start=False)
In [83]:
grid_cv.best_score_
Out[83]:
0.7073304598219385
Проверим на тестовой выборке
In [84]:
y_predict = grid_cv.predict(X_test)
In [85]:
print("ROC_AUC модели: " + str(roc_auc_score(y_test, y_predict)))
print("Другие метрик модели:")
print(metrics.classification_report(y_test, y_predict))
print("TP, FP, FN, TN:")
print(metrics.confusion_matrix(y_test, y_predict))
ROC_AUC модели: 0.6335973760187115
Другие метрик модели:
precision recall f1-score support
0 0.95 0.61 0.74 2606
1 0.14 0.65 0.23 252
avg / total 0.88 0.62 0.70 2858
TP, FP, FN, TN:
[[1596 1010]
[ 87 165]]
In [86]:
from sklearn import metrics
sns.set(font_scale=1.5)
sns.set_color_codes("muted")
plt.figure(figsize=(10, 8))
fpr, tpr, thresholds = metrics.roc_curve(y_test, grid_cv.predict_proba(X_test)[:,1], pos_label=1)
lw = 2
plt.plot(fpr, tpr, lw=lw, label='ROC curve ')
plt.plot([0, 1], [0, 1])
plt.xlim([0.0, 1.0])
plt.ylim([0.0, 1.05])
plt.xlabel('False Positive Rate')
plt.ylabel('True Positive Rate')
plt.title('ROC curve')
plt.show()
Рисунок 6 - ROC_AUC для случайного лесаIn [75]:
grid_cv.predict_proba(X_test)
Out[75]:
array([[0.49050744, 0.50949256],
[0.50845992, 0.49154008],
[0.76569953, 0.23430047],
...,
[0.5227295 , 0.4772705 ],
[0.38178674, 0.61821326],
[0.40886795, 0.59113205]])
In [76]:
grid_cv.predict(X_test)
Out[76]:
array([1, 0, 0, ..., 0, 1, 1])
Вывод: После настройки гиперпараметров случайный лес дал лучшие результаты, его и будем использовать в качестве целевого решения (ROC_AUC = 0.63). Данную модель можено использовать на практике, но нужно задать определенный порог, при котором FP -> min, для избежания экономических потерь. По умолчанию порог вероятности 0.5 (вероятности распределения можно получить используя метод predict_proba)
P.S. Сделаем прогноз с помощью XGBOOST
In [396]:
from hyperopt import STATUS_OK, Trials, fmin, hp, tpe
import xgboost as xgb
In [91]:
dtrain = xgb.DMatrix(X_train, y_train)
dtest = xgb.DMatrix(X_test, y_test)
Оптимизация параметров
In [406]:
def score(params):
print("Training with params: ")
print(params)
num_round = int(params['n_estimators'])
del params['n_estimators']
dtrain = xgb.DMatrix(X_train, y_train)
dvalid = xgb.DMatrix(X_test, y_test)
watchlist = [(dvalid, 'eval'), (dtrain, 'train')]
gbm_model = xgb.train(params, dtrain, num_round,
evals=watchlist,
verbose_eval=True)
predictions = gbm_model.predict(dvalid,
ntree_limit=gbm_model.best_iteration + 1)
score = roc_auc_score(y_test, predictions)
# TODO: Add the importance for the selected features
print("\tScore {0}\n\n".format(score))
# The score function should return the loss (1-score)
# since the optimize function looks for the minimum
loss = 1 - score
return {'loss': loss, 'status': STATUS_OK}
In [407]:
def optimize(
#trials,
random_state=0):
"""
This is the optimization function that given a space (space here) of
hyperparameters and a scoring function (score here), finds the best hyperparameters.
"""
# To learn more about XGBoost parameters, head to this page:
# https://github.com/dmlc/xgboost/blob/master/doc/parameter.md
space = {
'n_estimators': hp.quniform('n_estimators', 100, 1000, 1),
'eta': hp.quniform('eta', 0.025, 0.5, 0.025),
# A problem with max_depth casted to float instead of int with
# the hp.quniform method.
'max_depth': hp.choice('max_depth', np.arange(1, 14, dtype=int)),
'min_child_weight': hp.quniform('min_child_weight', 1, 6, 1),
'subsample': hp.quniform('subsample', 0.5, 1, 0.05),
'gamma': hp.quniform('gamma', 0.5, 1, 0.05),
'colsample_bytree': hp.quniform('colsample_bytree', 0.5, 1, 0.05),
'eval_metric': 'auc',
'objective': 'binary:logistic',
'scale_pos_weight': 10,
# Increase this number if you have more cores. Otherwise, remove it and it will default
# to the maxium number.
'nthread': 4,
'booster': 'gbtree',
'tree_method': 'exact',
'silent': 1,
'seed': 0
}
# Use the fmin function from Hyperopt to find the best hyperparameters
best = fmin(score, space, algo=tpe.suggest,
# trials=trials,
max_evals=250)
return best
In [408]:
best_hyperparams = optimize(
#trials
)
print("The best hyperparameters are: ", "\n")
print(best_hyperparams)
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8, 'eta': 0.05, 'eval_metric': 'auc', 'gamma': 0.8500000000000001, 'max_depth': 7, 'min_child_weight': 4.0, 'n_estimators': 679.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.55, 'tree_method': 'exact'}
[0] eval-auc:0.592862 train-auc:0.726554
[1] eval-auc:0.614528 train-auc:0.756509
[2] eval-auc:0.617714 train-auc:0.793365
[3] eval-auc:0.633192 train-auc:0.806757
[4] eval-auc:0.661955 train-auc:0.823979
[5] eval-auc:0.66538 train-auc:0.83769
[6] eval-auc:0.663976 train-auc:0.843762
[7] eval-auc:0.66153 train-auc:0.851417
[8] eval-auc:0.671627 train-auc:0.860192
[9] eval-auc:0.678086 train-auc:0.865045
[10] eval-auc:0.688803 train-auc:0.874164
[11] eval-auc:0.685514 train-auc:0.880661
[12] eval-auc:0.682049 train-auc:0.88016
[13] eval-auc:0.685039 train-auc:0.881535
[14] eval-auc:0.684612 train-auc:0.885961
[15] eval-auc:0.681752 train-auc:0.889222
[16] eval-auc:0.682966 train-auc:0.892115
[17] eval-auc:0.687076 train-auc:0.896167
[18] eval-auc:0.685868 train-auc:0.897651
[19] eval-auc:0.6891 train-auc:0.899348
[20] eval-auc:0.688783 train-auc:0.900538
[21] eval-auc:0.69523 train-auc:0.905216
[22] eval-auc:0.695737 train-auc:0.907177
[23] eval-auc:0.69626 train-auc:0.909693
[24] eval-auc:0.696606 train-auc:0.91312
[25] eval-auc:0.695302 train-auc:0.914447
[26] eval-auc:0.693235 train-auc:0.914092
[27] eval-auc:0.693464 train-auc:0.919258
[28] eval-auc:0.694309 train-auc:0.920515
[29] eval-auc:0.693966 train-auc:0.920254
[30] eval-auc:0.695941 train-auc:0.922632
[31] eval-auc:0.696493 train-auc:0.923244
[32] eval-auc:0.694419 train-auc:0.925396
[33] eval-auc:0.69421 train-auc:0.927334
[34] eval-auc:0.694425 train-auc:0.929047
[35] eval-auc:0.693907 train-auc:0.932191
[36] eval-auc:0.694014 train-auc:0.933322
[37] eval-auc:0.694554 train-auc:0.932209
[38] eval-auc:0.694577 train-auc:0.933154
[39] eval-auc:0.694851 train-auc:0.933769
[40] eval-auc:0.694304 train-auc:0.935792
[41] eval-auc:0.694088 train-auc:0.937427
[42] eval-auc:0.69431 train-auc:0.937992
[43] eval-auc:0.696394 train-auc:0.941028
[44] eval-auc:0.697787 train-auc:0.94329
[45] eval-auc:0.697723 train-auc:0.943752
[46] eval-auc:0.698168 train-auc:0.945055
[47] eval-auc:0.698232 train-auc:0.946021
[48] eval-auc:0.697817 train-auc:0.945795
[49] eval-auc:0.697252 train-auc:0.947694
[50] eval-auc:0.697109 train-auc:0.948644
[51] eval-auc:0.69615 train-auc:0.949555
[52] eval-auc:0.696808 train-auc:0.950652
[53] eval-auc:0.696855 train-auc:0.952409
[54] eval-auc:0.696963 train-auc:0.953559
[55] eval-auc:0.697578 train-auc:0.953735
[56] eval-auc:0.697834 train-auc:0.955016
[57] eval-auc:0.697396 train-auc:0.955902
[58] eval-auc:0.697834 train-auc:0.95601
[59] eval-auc:0.697945 train-auc:0.956988
[60] eval-auc:0.696441 train-auc:0.958174
[61] eval-auc:0.696208 train-auc:0.958031
[62] eval-auc:0.695829 train-auc:0.958759
[63] eval-auc:0.697195 train-auc:0.959527
[64] eval-auc:0.698937 train-auc:0.961086
[65] eval-auc:0.698921 train-auc:0.961426
[66] eval-auc:0.698633 train-auc:0.96206
[67] eval-auc:0.698684 train-auc:0.962676
[68] eval-auc:0.698979 train-auc:0.963753
[69] eval-auc:0.698851 train-auc:0.963806
[70] eval-auc:0.699958 train-auc:0.964426
[71] eval-auc:0.699395 train-auc:0.965146
[72] eval-auc:0.699384 train-auc:0.965469
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[74] eval-auc:0.70001 train-auc:0.967565
[75] eval-auc:0.699914 train-auc:0.968703
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[80] eval-auc:0.700278 train-auc:0.972234
[81] eval-auc:0.699638 train-auc:0.972998
[82] eval-auc:0.699757 train-auc:0.973236
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[84] eval-auc:0.699366 train-auc:0.974775
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[86] eval-auc:0.698531 train-auc:0.975143
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[89] eval-auc:0.698534 train-auc:0.976638
[90] eval-auc:0.698764 train-auc:0.976793
[91] eval-auc:0.699127 train-auc:0.977349
[92] eval-auc:0.698589 train-auc:0.977589
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[100] eval-auc:0.6974 train-auc:0.981027
[101] eval-auc:0.697598 train-auc:0.981101
[102] eval-auc:0.697939 train-auc:0.981375
[103] eval-auc:0.698198 train-auc:0.982049
[104] eval-auc:0.698137 train-auc:0.982158
[105] eval-auc:0.697802 train-auc:0.982358
[106] eval-auc:0.69772 train-auc:0.982734
[107] eval-auc:0.697633 train-auc:0.982956
[108] eval-auc:0.697324 train-auc:0.983071
[109] eval-auc:0.697057 train-auc:0.983435
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[111] eval-auc:0.696887 train-auc:0.984499
[112] eval-auc:0.697629 train-auc:0.984864
[113] eval-auc:0.697919 train-auc:0.984934
[114] eval-auc:0.697437 train-auc:0.985208
[115] eval-auc:0.696179 train-auc:0.985446
[116] eval-auc:0.696132 train-auc:0.985932
[117] eval-auc:0.696802 train-auc:0.986583
[118] eval-auc:0.69689 train-auc:0.986847
[119] eval-auc:0.69728 train-auc:0.987086
[120] eval-auc:0.697338 train-auc:0.987283
[121] eval-auc:0.69797 train-auc:0.987671
[122] eval-auc:0.698268 train-auc:0.987897
[123] eval-auc:0.697727 train-auc:0.988547
[124] eval-auc:0.697572 train-auc:0.988682
[125] eval-auc:0.697948 train-auc:0.988984
[126] eval-auc:0.697493 train-auc:0.988992
[127] eval-auc:0.697409 train-auc:0.989165
[128] eval-auc:0.698615 train-auc:0.989111
[129] eval-auc:0.699645 train-auc:0.989541
[130] eval-auc:0.699313 train-auc:0.989804
[131] eval-auc:0.699801 train-auc:0.98985
[132] eval-auc:0.699689 train-auc:0.990181
[133] eval-auc:0.699908 train-auc:0.990495
[134] eval-auc:0.699975 train-auc:0.990671
[135] eval-auc:0.700444 train-auc:0.990959
[136] eval-auc:0.700293 train-auc:0.991453
[137] eval-auc:0.699451 train-auc:0.991625
[138] eval-auc:0.699494 train-auc:0.991789
[139] eval-auc:0.698241 train-auc:0.99195
[140] eval-auc:0.698653 train-auc:0.992045
[141] eval-auc:0.698254 train-auc:0.992269
[142] eval-auc:0.698108 train-auc:0.992382
[143] eval-auc:0.698154 train-auc:0.992492
[144] eval-auc:0.699387 train-auc:0.992938
[145] eval-auc:0.699571 train-auc:0.993155
[146] eval-auc:0.700056 train-auc:0.993267
[147] eval-auc:0.700153 train-auc:0.993259
[148] eval-auc:0.699937 train-auc:0.993267
[149] eval-auc:0.69947 train-auc:0.993396
[150] eval-auc:0.699585 train-auc:0.993611
[151] eval-auc:0.699958 train-auc:0.993846
[152] eval-auc:0.70066 train-auc:0.993932
[153] eval-auc:0.700921 train-auc:0.994093
[154] eval-auc:0.701507 train-auc:0.994101
[155] eval-auc:0.70163 train-auc:0.994151
[156] eval-auc:0.701802 train-auc:0.994185
[157] eval-auc:0.701674 train-auc:0.994152
[158] eval-auc:0.701288 train-auc:0.994208
[159] eval-auc:0.701723 train-auc:0.994262
[160] eval-auc:0.701435 train-auc:0.994444
[161] eval-auc:0.701294 train-auc:0.994475
[162] eval-auc:0.701502 train-auc:0.99451
[163] eval-auc:0.701326 train-auc:0.994447
[164] eval-auc:0.701087 train-auc:0.994519
[165] eval-auc:0.701408 train-auc:0.994575
[166] eval-auc:0.701691 train-auc:0.994536
[167] eval-auc:0.701878 train-auc:0.994759
[168] eval-auc:0.702037 train-auc:0.994747
[169] eval-auc:0.701807 train-auc:0.994922
[170] eval-auc:0.701531 train-auc:0.995177
[171] eval-auc:0.701929 train-auc:0.995236
[172] eval-auc:0.702354 train-auc:0.995384
[173] eval-auc:0.702194 train-auc:0.995495
[174] eval-auc:0.70172 train-auc:0.99556
[175] eval-auc:0.70243 train-auc:0.9956
[176] eval-auc:0.701977 train-auc:0.995575
[177] eval-auc:0.702705 train-auc:0.99569
[178] eval-auc:0.703185 train-auc:0.995767
[179] eval-auc:0.702912 train-auc:0.995824
[180] eval-auc:0.703438 train-auc:0.995914
[181] eval-auc:0.703275 train-auc:0.995929
[182] eval-auc:0.703659 train-auc:0.995998
[183] eval-auc:0.703441 train-auc:0.996037
[184] eval-auc:0.703337 train-auc:0.996025
[185] eval-auc:0.703302 train-auc:0.996078
[186] eval-auc:0.702989 train-auc:0.996103
[187] eval-auc:0.702749 train-auc:0.99621
[188] eval-auc:0.703068 train-auc:0.99641
[189] eval-auc:0.702893 train-auc:0.996421
[190] eval-auc:0.703176 train-auc:0.996423
[191] eval-auc:0.70297 train-auc:0.996434
[192] eval-auc:0.703254 train-auc:0.996441
[193] eval-auc:0.702932 train-auc:0.996508
[194] eval-auc:0.702867 train-auc:0.996661
[195] eval-auc:0.701801 train-auc:0.996726
[196] eval-auc:0.701869 train-auc:0.996837
[197] eval-auc:0.702488 train-auc:0.996804
[198] eval-auc:0.702188 train-auc:0.99685
[199] eval-auc:0.702226 train-auc:0.996939
[200] eval-auc:0.701926 train-auc:0.997018
[201] eval-auc:0.701508 train-auc:0.997035
[202] eval-auc:0.701254 train-auc:0.997032
[203] eval-auc:0.700974 train-auc:0.997153
[204] eval-auc:0.700907 train-auc:0.99715
[205] eval-auc:0.700036 train-auc:0.997168
[206] eval-auc:0.700063 train-auc:0.997235
[207] eval-auc:0.700347 train-auc:0.997337
[208] eval-auc:0.700551 train-auc:0.997319
[209] eval-auc:0.701001 train-auc:0.997366
[210] eval-auc:0.700707 train-auc:0.997391
[211] eval-auc:0.700621 train-auc:0.997363
[212] eval-auc:0.700048 train-auc:0.997443
[213] eval-auc:0.700065 train-auc:0.997498
[214] eval-auc:0.699983 train-auc:0.99756
[215] eval-auc:0.69976 train-auc:0.997576
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[218] eval-auc:0.699456 train-auc:0.997644
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[220] eval-auc:0.698795 train-auc:0.997751
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[222] eval-auc:0.699744 train-auc:0.997965
[223] eval-auc:0.699919 train-auc:0.997916
[224] eval-auc:0.699811 train-auc:0.998001
[225] eval-auc:0.699221 train-auc:0.998032
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[228] eval-auc:0.698653 train-auc:0.99813
[229] eval-auc:0.699031 train-auc:0.998165
[230] eval-auc:0.699262 train-auc:0.998254
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[233] eval-auc:0.698623 train-auc:0.998364
[234] eval-auc:0.698927 train-auc:0.998424
[235] eval-auc:0.69947 train-auc:0.998483
[236] eval-auc:0.699142 train-auc:0.998513
[237] eval-auc:0.699217 train-auc:0.998597
[238] eval-auc:0.699468 train-auc:0.998612
[239] eval-auc:0.699162 train-auc:0.998627
[240] eval-auc:0.699004 train-auc:0.998637
[241] eval-auc:0.698854 train-auc:0.998721
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[243] eval-auc:0.698294 train-auc:0.998729
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[285] eval-auc:0.697504 train-auc:0.999367
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[311] eval-auc:0.697325 train-auc:0.999575
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[322] eval-auc:0.695794 train-auc:0.999704
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[350] eval-auc:0.696362 train-auc:0.999792
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[353] eval-auc:0.696608 train-auc:0.999798
[354] eval-auc:0.696582 train-auc:0.999793
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[357] eval-auc:0.69638 train-auc:0.999816
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[360] eval-auc:0.696866 train-auc:0.999821
[361] eval-auc:0.697053 train-auc:0.99983
[362] eval-auc:0.697137 train-auc:0.999828
[363] eval-auc:0.697351 train-auc:0.999822
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[366] eval-auc:0.697193 train-auc:0.999835
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[368] eval-auc:0.697798 train-auc:0.99984
[369] eval-auc:0.698323 train-auc:0.999845
[370] eval-auc:0.698129 train-auc:0.999838
[371] eval-auc:0.698046 train-auc:0.999843
[372] eval-auc:0.697647 train-auc:0.999851
[373] eval-auc:0.697773 train-auc:0.999844
[374] eval-auc:0.69803 train-auc:0.999855
[375] eval-auc:0.698198 train-auc:0.999864
[376] eval-auc:0.698105 train-auc:0.999859
[377] eval-auc:0.698023 train-auc:0.999865
[378] eval-auc:0.698062 train-auc:0.999863
[379] eval-auc:0.69761 train-auc:0.999883
[380] eval-auc:0.697149 train-auc:0.999899
[381] eval-auc:0.696665 train-auc:0.999909
[382] eval-auc:0.697149 train-auc:0.999909
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[390] eval-auc:0.695532 train-auc:0.999914
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[420] eval-auc:0.693057 train-auc:0.999944
[421] eval-auc:0.692934 train-auc:0.999946
[422] eval-auc:0.693193 train-auc:0.999948
[423] eval-auc:0.693586 train-auc:0.999953
[424] eval-auc:0.693703 train-auc:0.999955
[425] eval-auc:0.693982 train-auc:0.999957
[426] eval-auc:0.694087 train-auc:0.99996
[427] eval-auc:0.694282 train-auc:0.999961
[428] eval-auc:0.694618 train-auc:0.999964
[429] eval-auc:0.694908 train-auc:0.999965
[430] eval-auc:0.694275 train-auc:0.999965
[431] eval-auc:0.694262 train-auc:0.999966
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[433] eval-auc:0.693843 train-auc:0.999973
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[437] eval-auc:0.694298 train-auc:0.99997
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[442] eval-auc:0.694801 train-auc:0.999969
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[445] eval-auc:0.694709 train-auc:0.999963
[446] eval-auc:0.694597 train-auc:0.999966
[447] eval-auc:0.695198 train-auc:0.999969
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[450] eval-auc:0.694097 train-auc:0.999967
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[453] eval-auc:0.694158 train-auc:0.999972
[454] eval-auc:0.694001 train-auc:0.999969
[455] eval-auc:0.693829 train-auc:0.999969
[456] eval-auc:0.693843 train-auc:0.99997
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[458] eval-auc:0.693616 train-auc:0.999967
[459] eval-auc:0.693433 train-auc:0.999973
[460] eval-auc:0.693545 train-auc:0.999973
[461] eval-auc:0.693598 train-auc:0.999974
[462] eval-auc:0.693717 train-auc:0.999973
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[464] eval-auc:0.694233 train-auc:0.999973
[465] eval-auc:0.694222 train-auc:0.999974
[466] eval-auc:0.69428 train-auc:0.999974
[467] eval-auc:0.694385 train-auc:0.999975
[468] eval-auc:0.694129 train-auc:0.999977
[469] eval-auc:0.693911 train-auc:0.999981
[470] eval-auc:0.694038 train-auc:0.999981
[471] eval-auc:0.694225 train-auc:0.999979
[472] eval-auc:0.694216 train-auc:0.999978
[473] eval-auc:0.694548 train-auc:0.999979
[474] eval-auc:0.694907 train-auc:0.999979
[475] eval-auc:0.694408 train-auc:0.99998
[476] eval-auc:0.694498 train-auc:0.999978
[477] eval-auc:0.694632 train-auc:0.999981
[478] eval-auc:0.69425 train-auc:0.999982
[479] eval-auc:0.69425 train-auc:0.999982
[480] eval-auc:0.694026 train-auc:0.999982
[481] eval-auc:0.693963 train-auc:0.999983
[482] eval-auc:0.693857 train-auc:0.999982
[483] eval-auc:0.694349 train-auc:0.999983
[484] eval-auc:0.694499 train-auc:0.999983
[485] eval-auc:0.69402 train-auc:0.999981
[486] eval-auc:0.694158 train-auc:0.999981
[487] eval-auc:0.694067 train-auc:0.999983
[488] eval-auc:0.694347 train-auc:0.999985
[489] eval-auc:0.694548 train-auc:0.999986
[490] eval-auc:0.694533 train-auc:0.999987
[491] eval-auc:0.694563 train-auc:0.999986
[492] eval-auc:0.694307 train-auc:0.999986
[493] eval-auc:0.694425 train-auc:0.999985
[494] eval-auc:0.694536 train-auc:0.999986
[495] eval-auc:0.694613 train-auc:0.999985
[496] eval-auc:0.694897 train-auc:0.999984
[497] eval-auc:0.695166 train-auc:0.999983
[498] eval-auc:0.694915 train-auc:0.999983
[499] eval-auc:0.694554 train-auc:0.999983
[500] eval-auc:0.695 train-auc:0.999985
[501] eval-auc:0.694965 train-auc:0.999988
[502] eval-auc:0.694779 train-auc:0.999989
[503] eval-auc:0.695235 train-auc:0.999989
[504] eval-auc:0.695603 train-auc:0.999989
[505] eval-auc:0.695631 train-auc:0.999991
[506] eval-auc:0.695515 train-auc:0.999991
[507] eval-auc:0.69539 train-auc:0.999991
[508] eval-auc:0.695355 train-auc:0.999992
[509] eval-auc:0.695216 train-auc:0.999993
[510] eval-auc:0.695023 train-auc:0.999992
[511] eval-auc:0.695197 train-auc:0.999994
[512] eval-auc:0.695168 train-auc:0.999992
[513] eval-auc:0.695305 train-auc:0.999992
[514] eval-auc:0.695121 train-auc:0.999993
[515] eval-auc:0.695119 train-auc:0.999993
[516] eval-auc:0.694875 train-auc:0.999993
[517] eval-auc:0.694814 train-auc:0.999993
[518] eval-auc:0.695046 train-auc:0.999993
[519] eval-auc:0.695312 train-auc:0.999993
[520] eval-auc:0.695256 train-auc:0.999993
[521] eval-auc:0.695169 train-auc:0.999994
[522] eval-auc:0.695405 train-auc:0.999994
[523] eval-auc:0.695288 train-auc:0.999992
[524] eval-auc:0.695139 train-auc:0.999993
[525] eval-auc:0.694859 train-auc:0.999993
[526] eval-auc:0.69475 train-auc:0.999992
[527] eval-auc:0.694722 train-auc:0.999993
[528] eval-auc:0.694612 train-auc:0.999993
[529] eval-auc:0.694609 train-auc:0.999993
[530] eval-auc:0.694687 train-auc:0.999992
[531] eval-auc:0.694521 train-auc:0.999992
[532] eval-auc:0.694572 train-auc:0.999992
[533] eval-auc:0.694486 train-auc:0.999993
[534] eval-auc:0.694394 train-auc:0.999992
[535] eval-auc:0.694377 train-auc:0.999993
[536] eval-auc:0.694295 train-auc:0.999993
[537] eval-auc:0.694307 train-auc:0.999992
[538] eval-auc:0.694275 train-auc:0.999993
[539] eval-auc:0.69435 train-auc:0.999993
[540] eval-auc:0.694172 train-auc:0.999994
[541] eval-auc:0.694003 train-auc:0.999993
[542] eval-auc:0.693576 train-auc:0.999994
[543] eval-auc:0.693503 train-auc:0.999994
[544] eval-auc:0.693366 train-auc:0.999994
[545] eval-auc:0.693394 train-auc:0.999996
[546] eval-auc:0.693555 train-auc:0.999996
[547] eval-auc:0.693468 train-auc:0.999996
[548] eval-auc:0.693057 train-auc:0.999997
[549] eval-auc:0.693144 train-auc:0.999997
[550] eval-auc:0.693101 train-auc:0.999997
[551] eval-auc:0.692964 train-auc:0.999997
[552] eval-auc:0.692917 train-auc:0.999997
[553] eval-auc:0.692751 train-auc:0.999997
[554] eval-auc:0.693025 train-auc:0.999997
[555] eval-auc:0.69333 train-auc:0.999996
[556] eval-auc:0.69336 train-auc:0.999995
[557] eval-auc:0.693446 train-auc:0.999996
[558] eval-auc:0.693592 train-auc:0.999996
[559] eval-auc:0.693541 train-auc:0.999996
[560] eval-auc:0.693257 train-auc:0.999996
[561] eval-auc:0.693564 train-auc:0.999996
[562] eval-auc:0.693462 train-auc:0.999995
[563] eval-auc:0.693366 train-auc:0.999995
[564] eval-auc:0.693241 train-auc:0.999995
[565] eval-auc:0.693359 train-auc:0.999995
[566] eval-auc:0.693161 train-auc:0.999995
[567] eval-auc:0.693091 train-auc:0.999995
[568] eval-auc:0.693467 train-auc:0.999995
[569] eval-auc:0.693206 train-auc:0.999995
[570] eval-auc:0.693348 train-auc:0.999995
[571] eval-auc:0.693534 train-auc:0.999995
[572] eval-auc:0.693557 train-auc:0.999995
[573] eval-auc:0.693164 train-auc:0.999996
[574] eval-auc:0.692815 train-auc:0.999997
[575] eval-auc:0.692859 train-auc:0.999997
[576] eval-auc:0.693159 train-auc:0.999997
[577] eval-auc:0.692934 train-auc:0.999997
[578] eval-auc:0.693193 train-auc:0.999997
[579] eval-auc:0.692902 train-auc:0.999998
[580] eval-auc:0.693025 train-auc:0.999998
[581] eval-auc:0.693117 train-auc:0.999998
[582] eval-auc:0.693149 train-auc:0.999998
[583] eval-auc:0.693331 train-auc:0.999999
[584] eval-auc:0.693442 train-auc:0.999998
[585] eval-auc:0.693401 train-auc:0.999998
[586] eval-auc:0.693656 train-auc:0.999998
[587] eval-auc:0.693833 train-auc:0.999998
[588] eval-auc:0.693832 train-auc:0.999998
[589] eval-auc:0.693852 train-auc:0.999999
[590] eval-auc:0.693919 train-auc:0.999999
[591] eval-auc:0.693551 train-auc:0.999999
[592] eval-auc:0.693468 train-auc:0.999999
[593] eval-auc:0.693344 train-auc:0.999999
[594] eval-auc:0.693219 train-auc:0.999999
[595] eval-auc:0.69327 train-auc:0.999999
[596] eval-auc:0.693272 train-auc:0.999998
[597] eval-auc:0.692768 train-auc:0.999998
[598] eval-auc:0.692963 train-auc:0.999999
[599] eval-auc:0.693039 train-auc:0.999999
[600] eval-auc:0.692865 train-auc:0.999998
[601] eval-auc:0.692993 train-auc:0.999999
[602] eval-auc:0.693039 train-auc:0.999999
[603] eval-auc:0.693063 train-auc:0.999999
[604] eval-auc:0.693059 train-auc:0.999999
[605] eval-auc:0.69313 train-auc:1
[606] eval-auc:0.693583 train-auc:0.999999
[607] eval-auc:0.693222 train-auc:0.999999
[608] eval-auc:0.693313 train-auc:1
[609] eval-auc:0.693149 train-auc:1
[610] eval-auc:0.693167 train-auc:1
[611] eval-auc:0.693056 train-auc:0.999999
[612] eval-auc:0.693473 train-auc:1
[613] eval-auc:0.693319 train-auc:1
[614] eval-auc:0.693178 train-auc:1
[615] eval-auc:0.693267 train-auc:1
[616] eval-auc:0.693392 train-auc:1
[617] eval-auc:0.693077 train-auc:1
[618] eval-auc:0.693308 train-auc:0.999999
[619] eval-auc:0.693228 train-auc:0.999999
[620] eval-auc:0.693174 train-auc:0.999999
[621] eval-auc:0.693203 train-auc:1
[622] eval-auc:0.693369 train-auc:1
[623] eval-auc:0.693435 train-auc:1
[624] eval-auc:0.69345 train-auc:1
[625] eval-auc:0.693406 train-auc:1
[626] eval-auc:0.693107 train-auc:1
[627] eval-auc:0.692814 train-auc:1
[628] eval-auc:0.69269 train-auc:1
[629] eval-auc:0.692789 train-auc:1
[630] eval-auc:0.692498 train-auc:1
[631] eval-auc:0.69236 train-auc:1
[632] eval-auc:0.692281 train-auc:1
[633] eval-auc:0.692252 train-auc:1
[634] eval-auc:0.69283 train-auc:0.999999
[635] eval-auc:0.692853 train-auc:0.999999
[636] eval-auc:0.692753 train-auc:1
[637] eval-auc:0.69248 train-auc:1
[638] eval-auc:0.692363 train-auc:1
[639] eval-auc:0.69255 train-auc:1
[640] eval-auc:0.692465 train-auc:1
[641] eval-auc:0.692477 train-auc:1
[642] eval-auc:0.692276 train-auc:1
[643] eval-auc:0.692112 train-auc:1
[644] eval-auc:0.691979 train-auc:1
[645] eval-auc:0.69174 train-auc:1
[646] eval-auc:0.691766 train-auc:1
[647] eval-auc:0.691696 train-auc:1
[648] eval-auc:0.69193 train-auc:1
[649] eval-auc:0.691994 train-auc:1
[650] eval-auc:0.692032 train-auc:1
[651] eval-auc:0.691932 train-auc:1
[652] eval-auc:0.691778 train-auc:1
[653] eval-auc:0.691786 train-auc:1
[654] eval-auc:0.691649 train-auc:1
[655] eval-auc:0.691714 train-auc:1
[656] eval-auc:0.691463 train-auc:1
[657] eval-auc:0.691177 train-auc:1
[658] eval-auc:0.691174 train-auc:1
[659] eval-auc:0.691289 train-auc:1
[660] eval-auc:0.691088 train-auc:1
[661] eval-auc:0.691105 train-auc:1
[662] eval-auc:0.691152 train-auc:1
[663] eval-auc:0.69105 train-auc:1
[664] eval-auc:0.69119 train-auc:1
[665] eval-auc:0.691257 train-auc:1
[666] eval-auc:0.691239 train-auc:1
[667] eval-auc:0.691413 train-auc:1
[668] eval-auc:0.691303 train-auc:1
[669] eval-auc:0.691312 train-auc:1
[670] eval-auc:0.691437 train-auc:1
[671] eval-auc:0.691209 train-auc:1
[672] eval-auc:0.691222 train-auc:1
[673] eval-auc:0.691288 train-auc:1
[674] eval-auc:0.69102 train-auc:1
[675] eval-auc:0.690775 train-auc:1
[676] eval-auc:0.69088 train-auc:1
[677] eval-auc:0.690785 train-auc:1
[678] eval-auc:0.690956 train-auc:1
Score 0.6909558527939188
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8500000000000001, 'eta': 0.2, 'eval_metric': 'auc', 'gamma': 1.0, 'max_depth': 12, 'min_child_weight': 3.0, 'n_estimators': 596.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.6000000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.687777 train-auc:0.818685
[1] eval-auc:0.660722 train-auc:0.861055
[2] eval-auc:0.6799 train-auc:0.89864
[3] eval-auc:0.697061 train-auc:0.917041
[4] eval-auc:0.703395 train-auc:0.936232
[5] eval-auc:0.695135 train-auc:0.951481
[6] eval-auc:0.689701 train-auc:0.964703
[7] eval-auc:0.691574 train-auc:0.969967
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[441] eval-auc:0.67875 train-auc:1
[442] eval-auc:0.67875 train-auc:1
[443] eval-auc:0.678721 train-auc:1
[444] eval-auc:0.678721 train-auc:1
[445] eval-auc:0.679271 train-auc:1
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[447] eval-auc:0.67949 train-auc:1
[448] eval-auc:0.67949 train-auc:1
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[450] eval-auc:0.679351 train-auc:1
[451] eval-auc:0.679403 train-auc:1
[452] eval-auc:0.679191 train-auc:1
[453] eval-auc:0.679191 train-auc:1
[454] eval-auc:0.679191 train-auc:1
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[456] eval-auc:0.679246 train-auc:1
[457] eval-auc:0.679246 train-auc:1
[458] eval-auc:0.679246 train-auc:1
[459] eval-auc:0.678981 train-auc:1
[460] eval-auc:0.678632 train-auc:1
[461] eval-auc:0.678705 train-auc:1
[462] eval-auc:0.678705 train-auc:1
[463] eval-auc:0.678705 train-auc:1
[464] eval-auc:0.678739 train-auc:1
[465] eval-auc:0.678153 train-auc:1
[466] eval-auc:0.67809 train-auc:1
[467] eval-auc:0.67809 train-auc:1
[468] eval-auc:0.67809 train-auc:1
[469] eval-auc:0.677941 train-auc:1
[470] eval-auc:0.677964 train-auc:1
[471] eval-auc:0.677964 train-auc:1
[472] eval-auc:0.677964 train-auc:1
[473] eval-auc:0.677964 train-auc:1
[474] eval-auc:0.67842 train-auc:1
[475] eval-auc:0.678395 train-auc:1
[476] eval-auc:0.678395 train-auc:1
[477] eval-auc:0.679015 train-auc:1
[478] eval-auc:0.679015 train-auc:1
[479] eval-auc:0.679015 train-auc:1
[480] eval-auc:0.679015 train-auc:1
[481] eval-auc:0.679015 train-auc:1
[482] eval-auc:0.679048 train-auc:1
[483] eval-auc:0.679048 train-auc:1
[484] eval-auc:0.678891 train-auc:1
[485] eval-auc:0.678891 train-auc:1
[486] eval-auc:0.678891 train-auc:1
[487] eval-auc:0.678891 train-auc:1
[488] eval-auc:0.6791 train-auc:1
[489] eval-auc:0.6791 train-auc:1
[490] eval-auc:0.6791 train-auc:1
[491] eval-auc:0.6791 train-auc:1
[492] eval-auc:0.679118 train-auc:1
[493] eval-auc:0.679118 train-auc:1
[494] eval-auc:0.679118 train-auc:1
[495] eval-auc:0.67924 train-auc:1
[496] eval-auc:0.67915 train-auc:1
[497] eval-auc:0.678584 train-auc:1
[498] eval-auc:0.678584 train-auc:1
[499] eval-auc:0.678584 train-auc:1
[500] eval-auc:0.679021 train-auc:1
[501] eval-auc:0.679021 train-auc:1
[502] eval-auc:0.679021 train-auc:1
[503] eval-auc:0.680583 train-auc:1
[504] eval-auc:0.680545 train-auc:1
[505] eval-auc:0.680545 train-auc:1
[506] eval-auc:0.680321 train-auc:1
[507] eval-auc:0.680274 train-auc:1
[508] eval-auc:0.680402 train-auc:1
[509] eval-auc:0.679939 train-auc:1
[510] eval-auc:0.679939 train-auc:1
[511] eval-auc:0.679939 train-auc:1
[512] eval-auc:0.680243 train-auc:1
[513] eval-auc:0.680184 train-auc:1
[514] eval-auc:0.680184 train-auc:1
[515] eval-auc:0.680572 train-auc:1
[516] eval-auc:0.680572 train-auc:1
[517] eval-auc:0.680897 train-auc:1
[518] eval-auc:0.680897 train-auc:1
[519] eval-auc:0.680897 train-auc:1
[520] eval-auc:0.680539 train-auc:1
[521] eval-auc:0.680539 train-auc:1
[522] eval-auc:0.680612 train-auc:1
[523] eval-auc:0.680612 train-auc:1
[524] eval-auc:0.680965 train-auc:1
[525] eval-auc:0.680106 train-auc:1
[526] eval-auc:0.68047 train-auc:1
[527] eval-auc:0.680584 train-auc:1
[528] eval-auc:0.680749 train-auc:1
[529] eval-auc:0.68086 train-auc:1
[530] eval-auc:0.68086 train-auc:1
[531] eval-auc:0.680831 train-auc:1
[532] eval-auc:0.680845 train-auc:1
[533] eval-auc:0.680845 train-auc:1
[534] eval-auc:0.680845 train-auc:1
[535] eval-auc:0.680845 train-auc:1
[536] eval-auc:0.680845 train-auc:1
[537] eval-auc:0.680845 train-auc:1
[538] eval-auc:0.680845 train-auc:1
[539] eval-auc:0.680995 train-auc:1
[540] eval-auc:0.680995 train-auc:1
[541] eval-auc:0.680917 train-auc:1
[542] eval-auc:0.680917 train-auc:1
[543] eval-auc:0.680917 train-auc:1
[544] eval-auc:0.681108 train-auc:1
[545] eval-auc:0.680676 train-auc:1
[546] eval-auc:0.680676 train-auc:1
[547] eval-auc:0.68044 train-auc:1
[548] eval-auc:0.68044 train-auc:1
[549] eval-auc:0.68044 train-auc:1
[550] eval-auc:0.68044 train-auc:1
[551] eval-auc:0.681018 train-auc:1
[552] eval-auc:0.681018 train-auc:1
[553] eval-auc:0.681018 train-auc:1
[554] eval-auc:0.680633 train-auc:1
[555] eval-auc:0.680565 train-auc:1
[556] eval-auc:0.680411 train-auc:1
[557] eval-auc:0.680411 train-auc:1
[558] eval-auc:0.680411 train-auc:1
[559] eval-auc:0.680411 train-auc:1
[560] eval-auc:0.680332 train-auc:1
[561] eval-auc:0.680612 train-auc:1
[562] eval-auc:0.680612 train-auc:1
[563] eval-auc:0.680458 train-auc:1
[564] eval-auc:0.680458 train-auc:1
[565] eval-auc:0.680502 train-auc:1
[566] eval-auc:0.680502 train-auc:1
[567] eval-auc:0.680502 train-auc:1
[568] eval-auc:0.680757 train-auc:1
[569] eval-auc:0.680757 train-auc:1
[570] eval-auc:0.680757 train-auc:1
[571] eval-auc:0.680757 train-auc:1
[572] eval-auc:0.680757 train-auc:1
[573] eval-auc:0.680872 train-auc:1
[574] eval-auc:0.680872 train-auc:1
[575] eval-auc:0.680872 train-auc:1
[576] eval-auc:0.680872 train-auc:1
[577] eval-auc:0.680872 train-auc:1
[578] eval-auc:0.681157 train-auc:1
[579] eval-auc:0.680921 train-auc:1
[580] eval-auc:0.680921 train-auc:1
[581] eval-auc:0.680514 train-auc:1
[582] eval-auc:0.680323 train-auc:1
[583] eval-auc:0.680323 train-auc:1
[584] eval-auc:0.680323 train-auc:1
[585] eval-auc:0.680374 train-auc:1
[586] eval-auc:0.680394 train-auc:1
[587] eval-auc:0.680662 train-auc:1
[588] eval-auc:0.680633 train-auc:1
[589] eval-auc:0.68074 train-auc:1
[590] eval-auc:0.68074 train-auc:1
[591] eval-auc:0.68074 train-auc:1
[592] eval-auc:0.680919 train-auc:1
[593] eval-auc:0.681092 train-auc:1
[594] eval-auc:0.681092 train-auc:1
[595] eval-auc:0.681092 train-auc:1
Score 0.681091559161398
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.65, 'eta': 0.15000000000000002, 'eval_metric': 'auc', 'gamma': 0.55, 'max_depth': 1, 'min_child_weight': 4.0, 'n_estimators': 561.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.8500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.637627 train-auc:0.641495
[1] eval-auc:0.637627 train-auc:0.641495
[2] eval-auc:0.6691 train-auc:0.677286
[3] eval-auc:0.667391 train-auc:0.675934
[4] eval-auc:0.667391 train-auc:0.675934
[5] eval-auc:0.703099 train-auc:0.698724
[6] eval-auc:0.703099 train-auc:0.698724
[7] eval-auc:0.697227 train-auc:0.698229
[8] eval-auc:0.705542 train-auc:0.701106
[9] eval-auc:0.705542 train-auc:0.701106
[10] eval-auc:0.69858 train-auc:0.69919
[11] eval-auc:0.69837 train-auc:0.699086
[12] eval-auc:0.69858 train-auc:0.69919
[13] eval-auc:0.697059 train-auc:0.698265
[14] eval-auc:0.697059 train-auc:0.698265
[15] eval-auc:0.698582 train-auc:0.699193
[16] eval-auc:0.699801 train-auc:0.698828
[17] eval-auc:0.700883 train-auc:0.699147
[18] eval-auc:0.707677 train-auc:0.700905
[19] eval-auc:0.697293 train-auc:0.69687
[20] eval-auc:0.700883 train-auc:0.699147
[21] eval-auc:0.703279 train-auc:0.699896
[22] eval-auc:0.706505 train-auc:0.701543
[23] eval-auc:0.707073 train-auc:0.703502
[24] eval-auc:0.705869 train-auc:0.701692
[25] eval-auc:0.706063 train-auc:0.704654
[26] eval-auc:0.706439 train-auc:0.704371
[27] eval-auc:0.705251 train-auc:0.704092
[28] eval-auc:0.705784 train-auc:0.704389
[29] eval-auc:0.706128 train-auc:0.704636
[30] eval-auc:0.706198 train-auc:0.704694
[31] eval-auc:0.702608 train-auc:0.702853
[32] eval-auc:0.703857 train-auc:0.703909
[33] eval-auc:0.703745 train-auc:0.704498
[34] eval-auc:0.706216 train-auc:0.704313
[35] eval-auc:0.706341 train-auc:0.705474
[36] eval-auc:0.703158 train-auc:0.708173
[37] eval-auc:0.705134 train-auc:0.709527
[38] eval-auc:0.705423 train-auc:0.709971
[39] eval-auc:0.70467 train-auc:0.710785
[40] eval-auc:0.703959 train-auc:0.709581
[41] eval-auc:0.704022 train-auc:0.709623
[42] eval-auc:0.704125 train-auc:0.709658
[43] eval-auc:0.703982 train-auc:0.709802
[44] eval-auc:0.702286 train-auc:0.710871
[45] eval-auc:0.703129 train-auc:0.71083
[46] eval-auc:0.70207 train-auc:0.710563
[47] eval-auc:0.702336 train-auc:0.71046
[48] eval-auc:0.702883 train-auc:0.710932
[49] eval-auc:0.703796 train-auc:0.711173
[50] eval-auc:0.703123 train-auc:0.711646
[51] eval-auc:0.70214 train-auc:0.711136
[52] eval-auc:0.702548 train-auc:0.711482
[53] eval-auc:0.701824 train-auc:0.711109
[54] eval-auc:0.701901 train-auc:0.711126
[55] eval-auc:0.702101 train-auc:0.711322
[56] eval-auc:0.701659 train-auc:0.711542
[57] eval-auc:0.701081 train-auc:0.711591
[58] eval-auc:0.7013 train-auc:0.711787
[59] eval-auc:0.7009 train-auc:0.712266
[60] eval-auc:0.700994 train-auc:0.712381
[61] eval-auc:0.701068 train-auc:0.712449
[62] eval-auc:0.701354 train-auc:0.712642
[63] eval-auc:0.702298 train-auc:0.713201
[64] eval-auc:0.702131 train-auc:0.713948
[65] eval-auc:0.702778 train-auc:0.714065
[66] eval-auc:0.70322 train-auc:0.71453
[67] eval-auc:0.704082 train-auc:0.71436
[68] eval-auc:0.703164 train-auc:0.714616
[69] eval-auc:0.702628 train-auc:0.714796
[70] eval-auc:0.702218 train-auc:0.714384
[71] eval-auc:0.701921 train-auc:0.71456
[72] eval-auc:0.701924 train-auc:0.714666
[73] eval-auc:0.701792 train-auc:0.715014
[74] eval-auc:0.702288 train-auc:0.714924
[75] eval-auc:0.702329 train-auc:0.715011
[76] eval-auc:0.702434 train-auc:0.715086
[77] eval-auc:0.701563 train-auc:0.715507
[78] eval-auc:0.702175 train-auc:0.71571
[79] eval-auc:0.702156 train-auc:0.715837
[80] eval-auc:0.701396 train-auc:0.716046
[81] eval-auc:0.701332 train-auc:0.71622
[82] eval-auc:0.701152 train-auc:0.716424
[83] eval-auc:0.701743 train-auc:0.716327
[84] eval-auc:0.701929 train-auc:0.716353
[85] eval-auc:0.702096 train-auc:0.716615
[86] eval-auc:0.702532 train-auc:0.716828
[87] eval-auc:0.702748 train-auc:0.716809
[88] eval-auc:0.702685 train-auc:0.716907
[89] eval-auc:0.70276 train-auc:0.716981
[90] eval-auc:0.701973 train-auc:0.71721
[91] eval-auc:0.70126 train-auc:0.717357
[92] eval-auc:0.701071 train-auc:0.717137
[93] eval-auc:0.701376 train-auc:0.717339
[94] eval-auc:0.701412 train-auc:0.717542
[95] eval-auc:0.701556 train-auc:0.717574
[96] eval-auc:0.701083 train-auc:0.717719
[97] eval-auc:0.701747 train-auc:0.718002
[98] eval-auc:0.701617 train-auc:0.718078
[99] eval-auc:0.701522 train-auc:0.718078
[100] eval-auc:0.701163 train-auc:0.71814
[101] eval-auc:0.701212 train-auc:0.71822
[102] eval-auc:0.701398 train-auc:0.718328
[103] eval-auc:0.701564 train-auc:0.71847
[104] eval-auc:0.701438 train-auc:0.718493
[105] eval-auc:0.700992 train-auc:0.718661
[106] eval-auc:0.700576 train-auc:0.719004
[107] eval-auc:0.700551 train-auc:0.718987
[108] eval-auc:0.700439 train-auc:0.719294
[109] eval-auc:0.70059 train-auc:0.71946
[110] eval-auc:0.700526 train-auc:0.7192
[111] eval-auc:0.701071 train-auc:0.719241
[112] eval-auc:0.70094 train-auc:0.719278
[113] eval-auc:0.700994 train-auc:0.719336
[114] eval-auc:0.700906 train-auc:0.719246
[115] eval-auc:0.701127 train-auc:0.719364
[116] eval-auc:0.701442 train-auc:0.719401
[117] eval-auc:0.701593 train-auc:0.719568
[118] eval-auc:0.701566 train-auc:0.719823
[119] eval-auc:0.701473 train-auc:0.71989
[120] eval-auc:0.701459 train-auc:0.719874
[121] eval-auc:0.701704 train-auc:0.719993
[122] eval-auc:0.701454 train-auc:0.720041
[123] eval-auc:0.701186 train-auc:0.720241
[124] eval-auc:0.701259 train-auc:0.720176
[125] eval-auc:0.701115 train-auc:0.720205
[126] eval-auc:0.700634 train-auc:0.720441
[127] eval-auc:0.700894 train-auc:0.720389
[128] eval-auc:0.701007 train-auc:0.720408
[129] eval-auc:0.701113 train-auc:0.720706
[130] eval-auc:0.701281 train-auc:0.720808
[131] eval-auc:0.701328 train-auc:0.720982
[132] eval-auc:0.701576 train-auc:0.721245
[133] eval-auc:0.701026 train-auc:0.721362
[134] eval-auc:0.701325 train-auc:0.721513
[135] eval-auc:0.701817 train-auc:0.721522
[136] eval-auc:0.70164 train-auc:0.721633
[137] eval-auc:0.7014 train-auc:0.721536
[138] eval-auc:0.701341 train-auc:0.7216
[139] eval-auc:0.701205 train-auc:0.721505
[140] eval-auc:0.701236 train-auc:0.721655
[141] eval-auc:0.701326 train-auc:0.721735
[142] eval-auc:0.701371 train-auc:0.721821
[143] eval-auc:0.70149 train-auc:0.721983
[144] eval-auc:0.701149 train-auc:0.722115
[145] eval-auc:0.701315 train-auc:0.722263
[146] eval-auc:0.701172 train-auc:0.722184
[147] eval-auc:0.700922 train-auc:0.722229
[148] eval-auc:0.701326 train-auc:0.722417
[149] eval-auc:0.701399 train-auc:0.722515
[150] eval-auc:0.701556 train-auc:0.722623
[151] eval-auc:0.701279 train-auc:0.722691
[152] eval-auc:0.701353 train-auc:0.722596
[153] eval-auc:0.701019 train-auc:0.722615
[154] eval-auc:0.701083 train-auc:0.722655
[155] eval-auc:0.701049 train-auc:0.722746
[156] eval-auc:0.701112 train-auc:0.722949
[157] eval-auc:0.701203 train-auc:0.723006
[158] eval-auc:0.700807 train-auc:0.72306
[159] eval-auc:0.700698 train-auc:0.723111
[160] eval-auc:0.701022 train-auc:0.723162
[161] eval-auc:0.701058 train-auc:0.723231
[162] eval-auc:0.700649 train-auc:0.723302
[163] eval-auc:0.699996 train-auc:0.723411
[164] eval-auc:0.699968 train-auc:0.723599
[165] eval-auc:0.70049 train-auc:0.723691
[166] eval-auc:0.700568 train-auc:0.723574
[167] eval-auc:0.700787 train-auc:0.723675
[168] eval-auc:0.700656 train-auc:0.723899
[169] eval-auc:0.700879 train-auc:0.723952
[170] eval-auc:0.701011 train-auc:0.724024
[171] eval-auc:0.700608 train-auc:0.724115
[172] eval-auc:0.700848 train-auc:0.724151
[173] eval-auc:0.701164 train-auc:0.72415
[174] eval-auc:0.701081 train-auc:0.724167
[175] eval-auc:0.701156 train-auc:0.724322
[176] eval-auc:0.701104 train-auc:0.724405
[177] eval-auc:0.701806 train-auc:0.724559
[178] eval-auc:0.701972 train-auc:0.724639
[179] eval-auc:0.702044 train-auc:0.724749
[180] eval-auc:0.701928 train-auc:0.724795
[181] eval-auc:0.701984 train-auc:0.724953
[182] eval-auc:0.701797 train-auc:0.725011
[183] eval-auc:0.701707 train-auc:0.725095
[184] eval-auc:0.70124 train-auc:0.725181
[185] eval-auc:0.701301 train-auc:0.725306
[186] eval-auc:0.701803 train-auc:0.725346
[187] eval-auc:0.701418 train-auc:0.725491
[188] eval-auc:0.70175 train-auc:0.72557
[189] eval-auc:0.701748 train-auc:0.725602
[190] eval-auc:0.701874 train-auc:0.725722
[191] eval-auc:0.702262 train-auc:0.72587
[192] eval-auc:0.701866 train-auc:0.725883
[193] eval-auc:0.702384 train-auc:0.725912
[194] eval-auc:0.701866 train-auc:0.72608
[195] eval-auc:0.701937 train-auc:0.726265
[196] eval-auc:0.702136 train-auc:0.726377
[197] eval-auc:0.702091 train-auc:0.72616
[198] eval-auc:0.701972 train-auc:0.726207
[199] eval-auc:0.701815 train-auc:0.726282
[200] eval-auc:0.702225 train-auc:0.726518
[201] eval-auc:0.701902 train-auc:0.726597
[202] eval-auc:0.701954 train-auc:0.726768
[203] eval-auc:0.701878 train-auc:0.727042
[204] eval-auc:0.702105 train-auc:0.727071
[205] eval-auc:0.702124 train-auc:0.727255
[206] eval-auc:0.70208 train-auc:0.727253
[207] eval-auc:0.701995 train-auc:0.727333
[208] eval-auc:0.70214 train-auc:0.727425
[209] eval-auc:0.701738 train-auc:0.727432
[210] eval-auc:0.701738 train-auc:0.727465
[211] eval-auc:0.701412 train-auc:0.727543
[212] eval-auc:0.701298 train-auc:0.727566
[213] eval-auc:0.701482 train-auc:0.727471
[214] eval-auc:0.701495 train-auc:0.727639
[215] eval-auc:0.701345 train-auc:0.727667
[216] eval-auc:0.701782 train-auc:0.72772
[217] eval-auc:0.702272 train-auc:0.72781
[218] eval-auc:0.702226 train-auc:0.727937
[219] eval-auc:0.702275 train-auc:0.728029
[220] eval-auc:0.702324 train-auc:0.727938
[221] eval-auc:0.702247 train-auc:0.727962
[222] eval-auc:0.701487 train-auc:0.727857
[223] eval-auc:0.701292 train-auc:0.727898
[224] eval-auc:0.701221 train-auc:0.728003
[225] eval-auc:0.700854 train-auc:0.728049
[226] eval-auc:0.701017 train-auc:0.728227
[227] eval-auc:0.700382 train-auc:0.728124
[228] eval-auc:0.700627 train-auc:0.728156
[229] eval-auc:0.700604 train-auc:0.728247
[230] eval-auc:0.700755 train-auc:0.728391
[231] eval-auc:0.70022 train-auc:0.728585
[232] eval-auc:0.700191 train-auc:0.728635
[233] eval-auc:0.700232 train-auc:0.7287
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[240] eval-auc:0.699089 train-auc:0.728817
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[250] eval-auc:0.699707 train-auc:0.729362
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[252] eval-auc:0.699977 train-auc:0.7296
[253] eval-auc:0.69999 train-auc:0.729459
[254] eval-auc:0.700044 train-auc:0.729484
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[257] eval-auc:0.700082 train-auc:0.729721
[258] eval-auc:0.700336 train-auc:0.729725
[259] eval-auc:0.700382 train-auc:0.72975
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[261] eval-auc:0.69989 train-auc:0.730246
[262] eval-auc:0.699811 train-auc:0.730222
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[264] eval-auc:0.699978 train-auc:0.730204
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[266] eval-auc:0.699738 train-auc:0.730288
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[268] eval-auc:0.700127 train-auc:0.730449
[269] eval-auc:0.700159 train-auc:0.730516
[270] eval-auc:0.700264 train-auc:0.730627
[271] eval-auc:0.700382 train-auc:0.730675
[272] eval-auc:0.700339 train-auc:0.730737
[273] eval-auc:0.700421 train-auc:0.73074
[274] eval-auc:0.700214 train-auc:0.730859
[275] eval-auc:0.700286 train-auc:0.730892
[276] eval-auc:0.700622 train-auc:0.730988
[277] eval-auc:0.700476 train-auc:0.731107
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[280] eval-auc:0.700333 train-auc:0.731345
[281] eval-auc:0.700127 train-auc:0.731389
[282] eval-auc:0.700025 train-auc:0.731408
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[286] eval-auc:0.700353 train-auc:0.731916
[287] eval-auc:0.699972 train-auc:0.732033
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[290] eval-auc:0.70033 train-auc:0.732238
[291] eval-auc:0.700738 train-auc:0.732234
[292] eval-auc:0.700846 train-auc:0.732372
[293] eval-auc:0.700854 train-auc:0.732369
[294] eval-auc:0.700746 train-auc:0.732479
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[299] eval-auc:0.700612 train-auc:0.732927
[300] eval-auc:0.700356 train-auc:0.732945
[301] eval-auc:0.70043 train-auc:0.733091
[302] eval-auc:0.700564 train-auc:0.733143
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[304] eval-auc:0.700187 train-auc:0.73347
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[308] eval-auc:0.699935 train-auc:0.733646
[309] eval-auc:0.69999 train-auc:0.733418
[310] eval-auc:0.699963 train-auc:0.733491
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[313] eval-auc:0.700062 train-auc:0.733547
[314] eval-auc:0.700159 train-auc:0.733599
[315] eval-auc:0.700097 train-auc:0.733645
[316] eval-auc:0.700347 train-auc:0.733737
[317] eval-auc:0.70036 train-auc:0.733866
[318] eval-auc:0.700272 train-auc:0.733987
[319] eval-auc:0.70031 train-auc:0.734076
[320] eval-auc:0.700465 train-auc:0.734131
[321] eval-auc:0.700287 train-auc:0.734216
[322] eval-auc:0.700243 train-auc:0.734235
[323] eval-auc:0.700248 train-auc:0.734322
[324] eval-auc:0.700401 train-auc:0.734537
[325] eval-auc:0.700509 train-auc:0.734899
[326] eval-auc:0.700756 train-auc:0.734954
[327] eval-auc:0.700607 train-auc:0.734833
[328] eval-auc:0.700735 train-auc:0.734853
[329] eval-auc:0.700421 train-auc:0.734873
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[332] eval-auc:0.700167 train-auc:0.735027
[333] eval-auc:0.699884 train-auc:0.735181
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[339] eval-auc:0.699981 train-auc:0.735574
[340] eval-auc:0.699724 train-auc:0.735545
[341] eval-auc:0.699448 train-auc:0.735623
[342] eval-auc:0.699291 train-auc:0.735679
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[344] eval-auc:0.699689 train-auc:0.735846
[345] eval-auc:0.699547 train-auc:0.735905
[346] eval-auc:0.699486 train-auc:0.735854
[347] eval-auc:0.699986 train-auc:0.735902
[348] eval-auc:0.69999 train-auc:0.735938
[349] eval-auc:0.700019 train-auc:0.735993
[350] eval-auc:0.699996 train-auc:0.735806
[351] eval-auc:0.700146 train-auc:0.735906
[352] eval-auc:0.700319 train-auc:0.736011
[353] eval-auc:0.700287 train-auc:0.735866
[354] eval-auc:0.700408 train-auc:0.736111
[355] eval-auc:0.700132 train-auc:0.736168
[356] eval-auc:0.699756 train-auc:0.736222
[357] eval-auc:0.699349 train-auc:0.736213
[358] eval-auc:0.699482 train-auc:0.736308
[359] eval-auc:0.699302 train-auc:0.736189
[360] eval-auc:0.699244 train-auc:0.736265
[361] eval-auc:0.699186 train-auc:0.736323
[362] eval-auc:0.699316 train-auc:0.736541
[363] eval-auc:0.69923 train-auc:0.736722
[364] eval-auc:0.699384 train-auc:0.736779
[365] eval-auc:0.699576 train-auc:0.736806
[366] eval-auc:0.700098 train-auc:0.736862
[367] eval-auc:0.700235 train-auc:0.736904
[368] eval-auc:0.700178 train-auc:0.736996
[369] eval-auc:0.699896 train-auc:0.737045
[370] eval-auc:0.700007 train-auc:0.737105
[371] eval-auc:0.700012 train-auc:0.73735
[372] eval-auc:0.70005 train-auc:0.737402
[373] eval-auc:0.700199 train-auc:0.737386
[374] eval-auc:0.699841 train-auc:0.737452
[375] eval-auc:0.699734 train-auc:0.737501
[376] eval-auc:0.699771 train-auc:0.737721
[377] eval-auc:0.699378 train-auc:0.737782
[378] eval-auc:0.69954 train-auc:0.737802
[379] eval-auc:0.699782 train-auc:0.737887
[380] eval-auc:0.69973 train-auc:0.737694
[381] eval-auc:0.69984 train-auc:0.737982
[382] eval-auc:0.699824 train-auc:0.737951
[383] eval-auc:0.70045 train-auc:0.737969
[384] eval-auc:0.700016 train-auc:0.73808
[385] eval-auc:0.699885 train-auc:0.738115
[386] eval-auc:0.699667 train-auc:0.738127
[387] eval-auc:0.699462 train-auc:0.738139
[388] eval-auc:0.699428 train-auc:0.73811
[389] eval-auc:0.699514 train-auc:0.738189
[390] eval-auc:0.699622 train-auc:0.738528
[391] eval-auc:0.699594 train-auc:0.738637
[392] eval-auc:0.699722 train-auc:0.738734
[393] eval-auc:0.699508 train-auc:0.738771
[394] eval-auc:0.699748 train-auc:0.738816
[395] eval-auc:0.699741 train-auc:0.738837
[396] eval-auc:0.699695 train-auc:0.738932
[397] eval-auc:0.699725 train-auc:0.738972
[398] eval-auc:0.699119 train-auc:0.738877
[399] eval-auc:0.69929 train-auc:0.739041
[400] eval-auc:0.699127 train-auc:0.739034
[401] eval-auc:0.699269 train-auc:0.739094
[402] eval-auc:0.6995 train-auc:0.739084
[403] eval-auc:0.699401 train-auc:0.739104
[404] eval-auc:0.699328 train-auc:0.739159
[405] eval-auc:0.699131 train-auc:0.73926
[406] eval-auc:0.699103 train-auc:0.739304
[407] eval-auc:0.699392 train-auc:0.739348
[408] eval-auc:0.699474 train-auc:0.739379
[409] eval-auc:0.69955 train-auc:0.739423
[410] eval-auc:0.699789 train-auc:0.739525
[411] eval-auc:0.699378 train-auc:0.739573
[412] eval-auc:0.69962 train-auc:0.739655
[413] eval-auc:0.699932 train-auc:0.739684
[414] eval-auc:0.700066 train-auc:0.739759
[415] eval-auc:0.700027 train-auc:0.739905
[416] eval-auc:0.699856 train-auc:0.739942
[417] eval-auc:0.699902 train-auc:0.739731
[418] eval-auc:0.700164 train-auc:0.739704
[419] eval-auc:0.70019 train-auc:0.739821
[420] eval-auc:0.699801 train-auc:0.739881
[421] eval-auc:0.700112 train-auc:0.739821
[422] eval-auc:0.7002 train-auc:0.739533
[423] eval-auc:0.700021 train-auc:0.739554
[424] eval-auc:0.700164 train-auc:0.739598
[425] eval-auc:0.699916 train-auc:0.739727
[426] eval-auc:0.700063 train-auc:0.739765
[427] eval-auc:0.699987 train-auc:0.739844
[428] eval-auc:0.699795 train-auc:0.739921
[429] eval-auc:0.700124 train-auc:0.739956
[430] eval-auc:0.70019 train-auc:0.740032
[431] eval-auc:0.699922 train-auc:0.740079
[432] eval-auc:0.69975 train-auc:0.739953
[433] eval-auc:0.699782 train-auc:0.74027
[434] eval-auc:0.699983 train-auc:0.740294
[435] eval-auc:0.700097 train-auc:0.740332
[436] eval-auc:0.69989 train-auc:0.740396
[437] eval-auc:0.699538 train-auc:0.740508
[438] eval-auc:0.699603 train-auc:0.740563
[439] eval-auc:0.698918 train-auc:0.740671
[440] eval-auc:0.699205 train-auc:0.74073
[441] eval-auc:0.699285 train-auc:0.740774
[442] eval-auc:0.698895 train-auc:0.740857
[443] eval-auc:0.698682 train-auc:0.740869
[444] eval-auc:0.698944 train-auc:0.740914
[445] eval-auc:0.699578 train-auc:0.74094
[446] eval-auc:0.699348 train-auc:0.740997
[447] eval-auc:0.699122 train-auc:0.741011
[448] eval-auc:0.698892 train-auc:0.741049
[449] eval-auc:0.698329 train-auc:0.741107
[450] eval-auc:0.698236 train-auc:0.741177
[451] eval-auc:0.698442 train-auc:0.74127
[452] eval-auc:0.698422 train-auc:0.740937
[453] eval-auc:0.698667 train-auc:0.741011
[454] eval-auc:0.698464 train-auc:0.741188
[455] eval-auc:0.698448 train-auc:0.741246
[456] eval-auc:0.698787 train-auc:0.741225
[457] eval-auc:0.698458 train-auc:0.741327
[458] eval-auc:0.698134 train-auc:0.741353
[459] eval-auc:0.698235 train-auc:0.741442
[460] eval-auc:0.698323 train-auc:0.741488
[461] eval-auc:0.698227 train-auc:0.741495
[462] eval-auc:0.698524 train-auc:0.741527
[463] eval-auc:0.698254 train-auc:0.741561
[464] eval-auc:0.698562 train-auc:0.741635
[465] eval-auc:0.69856 train-auc:0.741685
[466] eval-auc:0.698425 train-auc:0.741693
[467] eval-auc:0.698621 train-auc:0.742092
[468] eval-auc:0.698676 train-auc:0.742185
[469] eval-auc:0.698425 train-auc:0.742197
[470] eval-auc:0.698426 train-auc:0.742338
[471] eval-auc:0.698495 train-auc:0.742526
[472] eval-auc:0.69823 train-auc:0.742655
[473] eval-auc:0.698621 train-auc:0.742713
[474] eval-auc:0.698659 train-auc:0.742794
[475] eval-auc:0.698722 train-auc:0.742878
[476] eval-auc:0.698787 train-auc:0.74304
[477] eval-auc:0.698868 train-auc:0.743171
[478] eval-auc:0.698883 train-auc:0.74321
[479] eval-auc:0.698798 train-auc:0.743231
[480] eval-auc:0.698699 train-auc:0.743233
[481] eval-auc:0.698637 train-auc:0.743192
[482] eval-auc:0.698661 train-auc:0.74317
[483] eval-auc:0.698707 train-auc:0.743247
[484] eval-auc:0.698623 train-auc:0.743195
[485] eval-auc:0.698492 train-auc:0.743256
[486] eval-auc:0.698268 train-auc:0.743372
[487] eval-auc:0.698326 train-auc:0.743022
[488] eval-auc:0.698289 train-auc:0.743108
[489] eval-auc:0.698183 train-auc:0.743504
[490] eval-auc:0.69833 train-auc:0.743568
[491] eval-auc:0.698356 train-auc:0.743611
[492] eval-auc:0.698408 train-auc:0.743662
[493] eval-auc:0.6983 train-auc:0.743689
[494] eval-auc:0.698594 train-auc:0.743706
[495] eval-auc:0.698678 train-auc:0.74376
[496] eval-auc:0.698984 train-auc:0.743789
[497] eval-auc:0.698603 train-auc:0.743739
[498] eval-auc:0.69863 train-auc:0.743769
[499] eval-auc:0.698525 train-auc:0.743813
[500] eval-auc:0.69821 train-auc:0.743755
[501] eval-auc:0.698145 train-auc:0.743813
[502] eval-auc:0.697953 train-auc:0.743882
[503] eval-auc:0.697911 train-auc:0.74394
[504] eval-auc:0.697632 train-auc:0.744002
[505] eval-auc:0.697705 train-auc:0.744096
[506] eval-auc:0.69732 train-auc:0.744092
[507] eval-auc:0.697597 train-auc:0.744174
[508] eval-auc:0.697698 train-auc:0.744369
[509] eval-auc:0.698199 train-auc:0.744424
[510] eval-auc:0.698171 train-auc:0.744468
[511] eval-auc:0.698362 train-auc:0.744476
[512] eval-auc:0.698406 train-auc:0.744484
[513] eval-auc:0.69811 train-auc:0.744454
[514] eval-auc:0.697954 train-auc:0.744516
[515] eval-auc:0.697774 train-auc:0.744536
[516] eval-auc:0.697882 train-auc:0.74454
[517] eval-auc:0.697957 train-auc:0.744803
[518] eval-auc:0.697814 train-auc:0.744663
[519] eval-auc:0.697698 train-auc:0.744639
[520] eval-auc:0.697815 train-auc:0.744696
[521] eval-auc:0.697887 train-auc:0.744763
[522] eval-auc:0.698052 train-auc:0.744795
[523] eval-auc:0.697761 train-auc:0.744804
[524] eval-auc:0.697808 train-auc:0.744827
[525] eval-auc:0.697428 train-auc:0.744906
[526] eval-auc:0.697573 train-auc:0.744874
[527] eval-auc:0.697418 train-auc:0.744815
[528] eval-auc:0.697217 train-auc:0.744864
[529] eval-auc:0.696997 train-auc:0.744954
[530] eval-auc:0.69704 train-auc:0.745012
[531] eval-auc:0.697146 train-auc:0.745118
[532] eval-auc:0.697029 train-auc:0.744954
[533] eval-auc:0.696798 train-auc:0.744953
[534] eval-auc:0.696518 train-auc:0.74498
[535] eval-auc:0.696722 train-auc:0.745171
[536] eval-auc:0.696783 train-auc:0.745248
[537] eval-auc:0.696943 train-auc:0.745301
[538] eval-auc:0.697064 train-auc:0.745357
[539] eval-auc:0.696923 train-auc:0.745316
[540] eval-auc:0.696973 train-auc:0.745064
[541] eval-auc:0.697188 train-auc:0.745111
[542] eval-auc:0.697176 train-auc:0.745198
[543] eval-auc:0.6976 train-auc:0.745252
[544] eval-auc:0.697673 train-auc:0.745291
[545] eval-auc:0.697775 train-auc:0.745324
[546] eval-auc:0.697656 train-auc:0.745365
[547] eval-auc:0.697622 train-auc:0.745432
[548] eval-auc:0.697251 train-auc:0.745529
[549] eval-auc:0.697154 train-auc:0.745588
[550] eval-auc:0.696988 train-auc:0.745418
[551] eval-auc:0.697093 train-auc:0.745589
[552] eval-auc:0.697291 train-auc:0.745618
[553] eval-auc:0.697641 train-auc:0.745601
[554] eval-auc:0.697672 train-auc:0.745992
[555] eval-auc:0.69743 train-auc:0.746017
[556] eval-auc:0.697483 train-auc:0.746095
[557] eval-auc:0.697555 train-auc:0.746221
[558] eval-auc:0.697541 train-auc:0.746207
[559] eval-auc:0.697207 train-auc:0.746289
[560] eval-auc:0.697177 train-auc:0.74637
Score 0.6971769969179793
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.6000000000000001, 'eta': 0.375, 'eval_metric': 'auc', 'gamma': 0.6000000000000001, 'max_depth': 10, 'min_child_weight': 6.0, 'n_estimators': 925.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.75, 'tree_method': 'exact'}
[0] eval-auc:0.537899 train-auc:0.679053
[1] eval-auc:0.618201 train-auc:0.825792
[2] eval-auc:0.596169 train-auc:0.854228
[3] eval-auc:0.615154 train-auc:0.883625
[4] eval-auc:0.62857 train-auc:0.902989
[5] eval-auc:0.629239 train-auc:0.931772
[6] eval-auc:0.638269 train-auc:0.940912
[7] eval-auc:0.633077 train-auc:0.942808
[8] eval-auc:0.644825 train-auc:0.95409
[9] eval-auc:0.649618 train-auc:0.963013
[10] eval-auc:0.647468 train-auc:0.969619
[11] eval-auc:0.648811 train-auc:0.97323
[12] eval-auc:0.652636 train-auc:0.976531
[13] eval-auc:0.65755 train-auc:0.978745
[14] eval-auc:0.656939 train-auc:0.981556
[15] eval-auc:0.655461 train-auc:0.985472
[16] eval-auc:0.653005 train-auc:0.986242
[17] eval-auc:0.677572 train-auc:0.989622
[18] eval-auc:0.676823 train-auc:0.990976
[19] eval-auc:0.686072 train-auc:0.992192
[20] eval-auc:0.685853 train-auc:0.993453
[21] eval-auc:0.688098 train-auc:0.994202
[22] eval-auc:0.690097 train-auc:0.994649
[23] eval-auc:0.693356 train-auc:0.995817
[24] eval-auc:0.689866 train-auc:0.996304
[25] eval-auc:0.688512 train-auc:0.996806
[26] eval-auc:0.686347 train-auc:0.997043
[27] eval-auc:0.685232 train-auc:0.997304
[28] eval-auc:0.685466 train-auc:0.99771
[29] eval-auc:0.682176 train-auc:0.997896
[30] eval-auc:0.682253 train-auc:0.998187
[31] eval-auc:0.681516 train-auc:0.998366
[32] eval-auc:0.679796 train-auc:0.998495
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[904] eval-auc:0.686257 train-auc:1
[905] eval-auc:0.686257 train-auc:1
[906] eval-auc:0.686257 train-auc:1
[907] eval-auc:0.686257 train-auc:1
[908] eval-auc:0.686537 train-auc:1
[909] eval-auc:0.685882 train-auc:1
[910] eval-auc:0.685882 train-auc:1
[911] eval-auc:0.685882 train-auc:1
[912] eval-auc:0.685882 train-auc:1
[913] eval-auc:0.685882 train-auc:1
[914] eval-auc:0.685882 train-auc:1
[915] eval-auc:0.685826 train-auc:1
[916] eval-auc:0.685826 train-auc:1
[917] eval-auc:0.686027 train-auc:1
[918] eval-auc:0.686027 train-auc:1
[919] eval-auc:0.686027 train-auc:1
[920] eval-auc:0.686027 train-auc:1
[921] eval-auc:0.686144 train-auc:1
[922] eval-auc:0.686144 train-auc:1
[923] eval-auc:0.686144 train-auc:1
[924] eval-auc:0.686144 train-auc:1
Score 0.6861440022414695
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8500000000000001, 'eta': 0.05, 'eval_metric': 'auc', 'gamma': 0.55, 'max_depth': 11, 'min_child_weight': 1.0, 'n_estimators': 639.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.8500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.678514 train-auc:0.859837
[1] eval-auc:0.662019 train-auc:0.918006
[2] eval-auc:0.682608 train-auc:0.954402
[3] eval-auc:0.689607 train-auc:0.965805
[4] eval-auc:0.69405 train-auc:0.974459
[5] eval-auc:0.68619 train-auc:0.981961
[6] eval-auc:0.684447 train-auc:0.986279
[7] eval-auc:0.690839 train-auc:0.988417
[8] eval-auc:0.691465 train-auc:0.990382
[9] eval-auc:0.692281 train-auc:0.992562
[10] eval-auc:0.693602 train-auc:0.994588
[11] eval-auc:0.692932 train-auc:0.995663
[12] eval-auc:0.69213 train-auc:0.996284
[13] eval-auc:0.692692 train-auc:0.996507
[14] eval-auc:0.690365 train-auc:0.997138
[15] eval-auc:0.68742 train-auc:0.997694
[16] eval-auc:0.686986 train-auc:0.998155
[17] eval-auc:0.689066 train-auc:0.998484
[18] eval-auc:0.687821 train-auc:0.998686
[19] eval-auc:0.689771 train-auc:0.998806
[20] eval-auc:0.690447 train-auc:0.999116
[21] eval-auc:0.69015 train-auc:0.999301
[22] eval-auc:0.689337 train-auc:0.999494
[23] eval-auc:0.690944 train-auc:0.99954
[24] eval-auc:0.691752 train-auc:0.999646
[25] eval-auc:0.690619 train-auc:0.999627
[26] eval-auc:0.690286 train-auc:0.999656
[27] eval-auc:0.691493 train-auc:0.999737
[28] eval-auc:0.690805 train-auc:0.999792
[29] eval-auc:0.690459 train-auc:0.999774
[30] eval-auc:0.689902 train-auc:0.999788
[31] eval-auc:0.689215 train-auc:0.999798
[32] eval-auc:0.689858 train-auc:0.99983
[33] eval-auc:0.6907 train-auc:0.999841
[34] eval-auc:0.690275 train-auc:0.999865
[35] eval-auc:0.691157 train-auc:0.999875
[36] eval-auc:0.691238 train-auc:0.999876
[37] eval-auc:0.690731 train-auc:0.999883
[38] eval-auc:0.690253 train-auc:0.999889
[39] eval-auc:0.688323 train-auc:0.999911
[40] eval-auc:0.687429 train-auc:0.99991
[41] eval-auc:0.6867 train-auc:0.99993
[42] eval-auc:0.686086 train-auc:0.999932
[43] eval-auc:0.687382 train-auc:0.99993
[44] eval-auc:0.687111 train-auc:0.999931
[45] eval-auc:0.687422 train-auc:0.999936
[46] eval-auc:0.688886 train-auc:0.999953
[47] eval-auc:0.689741 train-auc:0.999953
[48] eval-auc:0.69121 train-auc:0.99995
[49] eval-auc:0.690702 train-auc:0.999952
[50] eval-auc:0.690038 train-auc:0.999958
[51] eval-auc:0.690216 train-auc:0.99996
[52] eval-auc:0.690039 train-auc:0.999969
[53] eval-auc:0.689975 train-auc:0.999965
[54] eval-auc:0.690347 train-auc:0.999975
[55] eval-auc:0.690482 train-auc:0.999975
[56] eval-auc:0.690322 train-auc:0.999975
[57] eval-auc:0.690418 train-auc:0.999976
[58] eval-auc:0.691283 train-auc:0.999979
[59] eval-auc:0.691107 train-auc:0.999981
[60] eval-auc:0.691842 train-auc:0.999984
[61] eval-auc:0.692681 train-auc:0.999984
[62] eval-auc:0.69277 train-auc:0.999985
[63] eval-auc:0.692922 train-auc:0.999989
[64] eval-auc:0.692657 train-auc:0.999988
[65] eval-auc:0.692369 train-auc:0.99999
[66] eval-auc:0.692485 train-auc:0.99999
[67] eval-auc:0.692646 train-auc:0.99999
[68] eval-auc:0.692349 train-auc:0.999989
[69] eval-auc:0.692544 train-auc:0.999989
[70] eval-auc:0.693301 train-auc:0.999987
[71] eval-auc:0.692757 train-auc:0.999992
[72] eval-auc:0.693126 train-auc:0.999994
[73] eval-auc:0.693255 train-auc:0.999994
[74] eval-auc:0.692818 train-auc:0.999995
[75] eval-auc:0.692695 train-auc:0.999995
[76] eval-auc:0.693231 train-auc:0.999996
[77] eval-auc:0.692518 train-auc:0.999996
[78] eval-auc:0.692506 train-auc:0.999996
[79] eval-auc:0.692783 train-auc:0.999997
[80] eval-auc:0.693159 train-auc:0.999997
[81] eval-auc:0.693074 train-auc:0.999997
[82] eval-auc:0.693197 train-auc:0.999997
[83] eval-auc:0.693386 train-auc:0.999997
[84] eval-auc:0.693761 train-auc:0.999998
[85] eval-auc:0.693529 train-auc:0.999998
[86] eval-auc:0.693586 train-auc:0.999999
[87] eval-auc:0.693936 train-auc:0.999999
[88] eval-auc:0.693415 train-auc:0.999999
[89] eval-auc:0.693391 train-auc:1
[90] eval-auc:0.693228 train-auc:1
[91] eval-auc:0.692876 train-auc:1
[92] eval-auc:0.692804 train-auc:1
[93] eval-auc:0.693016 train-auc:1
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[95] eval-auc:0.693911 train-auc:1
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[107] eval-auc:0.696255 train-auc:1
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[109] eval-auc:0.695958 train-auc:1
[110] eval-auc:0.696007 train-auc:1
[111] eval-auc:0.696278 train-auc:1
[112] eval-auc:0.696444 train-auc:1
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[114] eval-auc:0.696118 train-auc:1
[115] eval-auc:0.695957 train-auc:1
[116] eval-auc:0.696308 train-auc:1
[117] eval-auc:0.696313 train-auc:1
[118] eval-auc:0.696261 train-auc:1
[119] eval-auc:0.696792 train-auc:1
[120] eval-auc:0.696885 train-auc:1
[121] eval-auc:0.696789 train-auc:1
[122] eval-auc:0.697308 train-auc:1
[123] eval-auc:0.697102 train-auc:1
[124] eval-auc:0.696806 train-auc:1
[125] eval-auc:0.697193 train-auc:1
[126] eval-auc:0.697159 train-auc:1
[127] eval-auc:0.696668 train-auc:1
[128] eval-auc:0.696372 train-auc:1
[129] eval-auc:0.696579 train-auc:1
[130] eval-auc:0.696901 train-auc:1
[131] eval-auc:0.69666 train-auc:1
[132] eval-auc:0.696534 train-auc:1
[133] eval-auc:0.696383 train-auc:1
[134] eval-auc:0.696627 train-auc:1
[135] eval-auc:0.696817 train-auc:1
[136] eval-auc:0.696678 train-auc:1
[137] eval-auc:0.69634 train-auc:1
[138] eval-auc:0.696066 train-auc:1
[139] eval-auc:0.696284 train-auc:1
[140] eval-auc:0.695844 train-auc:1
[141] eval-auc:0.695964 train-auc:1
[142] eval-auc:0.696046 train-auc:1
[143] eval-auc:0.695832 train-auc:1
[144] eval-auc:0.695992 train-auc:1
[145] eval-auc:0.696016 train-auc:1
[146] eval-auc:0.695609 train-auc:1
[147] eval-auc:0.695611 train-auc:1
[148] eval-auc:0.695404 train-auc:1
[149] eval-auc:0.695506 train-auc:1
[150] eval-auc:0.695151 train-auc:1
[151] eval-auc:0.695433 train-auc:1
[152] eval-auc:0.695512 train-auc:1
[153] eval-auc:0.695379 train-auc:1
[154] eval-auc:0.695451 train-auc:1
[155] eval-auc:0.695749 train-auc:1
[156] eval-auc:0.695545 train-auc:1
[157] eval-auc:0.695559 train-auc:1
[158] eval-auc:0.695529 train-auc:1
[159] eval-auc:0.695618 train-auc:1
[160] eval-auc:0.69594 train-auc:1
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[162] eval-auc:0.6965 train-auc:1
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[164] eval-auc:0.696255 train-auc:1
[165] eval-auc:0.696518 train-auc:1
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[167] eval-auc:0.6968 train-auc:1
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[170] eval-auc:0.697001 train-auc:1
[171] eval-auc:0.696914 train-auc:1
[172] eval-auc:0.697051 train-auc:1
[173] eval-auc:0.697022 train-auc:1
[174] eval-auc:0.697272 train-auc:1
[175] eval-auc:0.696919 train-auc:1
[176] eval-auc:0.696747 train-auc:1
[177] eval-auc:0.696809 train-auc:1
[178] eval-auc:0.697039 train-auc:1
[179] eval-auc:0.697076 train-auc:1
[180] eval-auc:0.697204 train-auc:1
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[182] eval-auc:0.697164 train-auc:1
[183] eval-auc:0.697153 train-auc:1
[184] eval-auc:0.697292 train-auc:1
[185] eval-auc:0.697377 train-auc:1
[186] eval-auc:0.6977 train-auc:1
[187] eval-auc:0.697545 train-auc:1
[188] eval-auc:0.697277 train-auc:1
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[190] eval-auc:0.697237 train-auc:1
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[198] eval-auc:0.697683 train-auc:1
[199] eval-auc:0.697673 train-auc:1
[200] eval-auc:0.697516 train-auc:1
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[205] eval-auc:0.697705 train-auc:1
[206] eval-auc:0.697802 train-auc:1
[207] eval-auc:0.697886 train-auc:1
[208] eval-auc:0.697858 train-auc:1
[209] eval-auc:0.697901 train-auc:1
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[211] eval-auc:0.69767 train-auc:1
[212] eval-auc:0.69768 train-auc:1
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[215] eval-auc:0.697533 train-auc:1
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[538] eval-auc:0.698116 train-auc:1
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[547] eval-auc:0.69832 train-auc:1
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[564] eval-auc:0.698203 train-auc:1
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[566] eval-auc:0.698737 train-auc:1
[567] eval-auc:0.698789 train-auc:1
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[576] eval-auc:0.699055 train-auc:1
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[580] eval-auc:0.698988 train-auc:1
[581] eval-auc:0.698898 train-auc:1
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[585] eval-auc:0.69899 train-auc:1
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[590] eval-auc:0.699052 train-auc:1
[591] eval-auc:0.699089 train-auc:1
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[594] eval-auc:0.698981 train-auc:1
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[596] eval-auc:0.699029 train-auc:1
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[598] eval-auc:0.698981 train-auc:1
[599] eval-auc:0.698973 train-auc:1
[600] eval-auc:0.699089 train-auc:1
[601] eval-auc:0.699107 train-auc:1
[602] eval-auc:0.699099 train-auc:1
[603] eval-auc:0.699121 train-auc:1
[604] eval-auc:0.699188 train-auc:1
[605] eval-auc:0.699238 train-auc:1
[606] eval-auc:0.699182 train-auc:1
[607] eval-auc:0.699179 train-auc:1
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[609] eval-auc:0.699206 train-auc:1
[610] eval-auc:0.699156 train-auc:1
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[612] eval-auc:0.699057 train-auc:1
[613] eval-auc:0.699127 train-auc:1
[614] eval-auc:0.699078 train-auc:1
[615] eval-auc:0.699078 train-auc:1
[616] eval-auc:0.699007 train-auc:1
[617] eval-auc:0.698965 train-auc:1
[618] eval-auc:0.698941 train-auc:1
[619] eval-auc:0.698836 train-auc:1
[620] eval-auc:0.698827 train-auc:1
[621] eval-auc:0.698827 train-auc:1
[622] eval-auc:0.698798 train-auc:1
[623] eval-auc:0.698943 train-auc:1
[624] eval-auc:0.698987 train-auc:1
[625] eval-auc:0.698947 train-auc:1
[626] eval-auc:0.698927 train-auc:1
[627] eval-auc:0.698944 train-auc:1
[628] eval-auc:0.698944 train-auc:1
[629] eval-auc:0.698997 train-auc:1
[630] eval-auc:0.698958 train-auc:1
[631] eval-auc:0.698996 train-auc:1
[632] eval-auc:0.69899 train-auc:1
[633] eval-auc:0.69899 train-auc:1
[634] eval-auc:0.699036 train-auc:1
[635] eval-auc:0.699017 train-auc:1
[636] eval-auc:0.699106 train-auc:1
[637] eval-auc:0.699084 train-auc:1
[638] eval-auc:0.699086 train-auc:1
Score 0.6990857483950347
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.65, 'eta': 0.45, 'eval_metric': 'auc', 'gamma': 0.55, 'max_depth': 7, 'min_child_weight': 3.0, 'n_estimators': 348.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.6000000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.610558 train-auc:0.730097
[1] eval-auc:0.633115 train-auc:0.768881
[2] eval-auc:0.638055 train-auc:0.80436
[3] eval-auc:0.64856 train-auc:0.829555
[4] eval-auc:0.677032 train-auc:0.86235
[5] eval-auc:0.673496 train-auc:0.876809
[6] eval-auc:0.675582 train-auc:0.884598
[7] eval-auc:0.668066 train-auc:0.890287
[8] eval-auc:0.672414 train-auc:0.901559
[9] eval-auc:0.673146 train-auc:0.91205
[10] eval-auc:0.670292 train-auc:0.918573
[11] eval-auc:0.668121 train-auc:0.920213
[12] eval-auc:0.6666 train-auc:0.92361
[13] eval-auc:0.671081 train-auc:0.926745
[14] eval-auc:0.670174 train-auc:0.933638
[15] eval-auc:0.667267 train-auc:0.939003
[16] eval-auc:0.667331 train-auc:0.940934
[17] eval-auc:0.683362 train-auc:0.946516
[18] eval-auc:0.679334 train-auc:0.952269
[19] eval-auc:0.678728 train-auc:0.956356
[20] eval-auc:0.67479 train-auc:0.959416
[21] eval-auc:0.675348 train-auc:0.961853
[22] eval-auc:0.675136 train-auc:0.964786
[23] eval-auc:0.672009 train-auc:0.966693
[24] eval-auc:0.666619 train-auc:0.97055
[25] eval-auc:0.665085 train-auc:0.973144
[26] eval-auc:0.659869 train-auc:0.973625
[27] eval-auc:0.6584 train-auc:0.976102
[28] eval-auc:0.662834 train-auc:0.977914
[29] eval-auc:0.657979 train-auc:0.980205
[30] eval-auc:0.656234 train-auc:0.982337
[31] eval-auc:0.655668 train-auc:0.983293
[32] eval-auc:0.653608 train-auc:0.985096
[33] eval-auc:0.650848 train-auc:0.98604
[34] eval-auc:0.649402 train-auc:0.987393
[35] eval-auc:0.648341 train-auc:0.988064
[36] eval-auc:0.645523 train-auc:0.988764
[37] eval-auc:0.64359 train-auc:0.989299
[38] eval-auc:0.641258 train-auc:0.989558
[39] eval-auc:0.640334 train-auc:0.990597
[40] eval-auc:0.640547 train-auc:0.99181
[41] eval-auc:0.639755 train-auc:0.992409
[42] eval-auc:0.638726 train-auc:0.992669
[43] eval-auc:0.63957 train-auc:0.993371
[44] eval-auc:0.640326 train-auc:0.993831
[45] eval-auc:0.642786 train-auc:0.994041
[46] eval-auc:0.639221 train-auc:0.994137
[47] eval-auc:0.641009 train-auc:0.994814
[48] eval-auc:0.640342 train-auc:0.995151
[49] eval-auc:0.643174 train-auc:0.995441
[50] eval-auc:0.643686 train-auc:0.995994
[51] eval-auc:0.643009 train-auc:0.996059
[52] eval-auc:0.643871 train-auc:0.996555
[53] eval-auc:0.6466 train-auc:0.996703
[54] eval-auc:0.644098 train-auc:0.997126
[55] eval-auc:0.643198 train-auc:0.997298
[56] eval-auc:0.63976 train-auc:0.997683
[57] eval-auc:0.637424 train-auc:0.997973
[58] eval-auc:0.638001 train-auc:0.998
[59] eval-auc:0.641222 train-auc:0.998131
[60] eval-auc:0.640977 train-auc:0.998107
[61] eval-auc:0.640208 train-auc:0.998223
[62] eval-auc:0.638794 train-auc:0.998334
[63] eval-auc:0.639586 train-auc:0.998438
[64] eval-auc:0.636637 train-auc:0.998705
[65] eval-auc:0.635942 train-auc:0.998772
[66] eval-auc:0.635743 train-auc:0.998997
[67] eval-auc:0.631243 train-auc:0.999035
[68] eval-auc:0.631424 train-auc:0.999047
[69] eval-auc:0.634225 train-auc:0.99921
[70] eval-auc:0.643195 train-auc:0.999248
[71] eval-auc:0.643797 train-auc:0.999343
[72] eval-auc:0.644934 train-auc:0.999412
[73] eval-auc:0.643548 train-auc:0.999538
[74] eval-auc:0.640782 train-auc:0.999502
[75] eval-auc:0.640515 train-auc:0.999554
[76] eval-auc:0.642487 train-auc:0.999686
[77] eval-auc:0.641007 train-auc:0.99967
[78] eval-auc:0.642673 train-auc:0.999709
[79] eval-auc:0.640553 train-auc:0.999737
[80] eval-auc:0.642282 train-auc:0.999855
[81] eval-auc:0.641398 train-auc:0.999879
[82] eval-auc:0.641531 train-auc:0.999918
[83] eval-auc:0.640064 train-auc:0.999927
[84] eval-auc:0.641513 train-auc:0.999949
[85] eval-auc:0.640693 train-auc:0.999956
[86] eval-auc:0.6436 train-auc:0.999954
[87] eval-auc:0.644177 train-auc:0.999956
[88] eval-auc:0.645991 train-auc:0.999947
[89] eval-auc:0.647096 train-auc:0.999971
[90] eval-auc:0.64709 train-auc:0.999975
[91] eval-auc:0.647032 train-auc:0.999979
[92] eval-auc:0.646235 train-auc:0.999992
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[94] eval-auc:0.643649 train-auc:0.999989
[95] eval-auc:0.642448 train-auc:1
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[101] eval-auc:0.645953 train-auc:1
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[103] eval-auc:0.646189 train-auc:0.999997
[104] eval-auc:0.646367 train-auc:0.999999
[105] eval-auc:0.644939 train-auc:0.999998
[106] eval-auc:0.644005 train-auc:0.999998
[107] eval-auc:0.643521 train-auc:0.999998
[108] eval-auc:0.642741 train-auc:0.999997
[109] eval-auc:0.643666 train-auc:1
[110] eval-auc:0.649309 train-auc:0.999999
[111] eval-auc:0.648683 train-auc:0.999999
[112] eval-auc:0.649262 train-auc:0.999998
[113] eval-auc:0.649685 train-auc:0.999999
[114] eval-auc:0.649435 train-auc:0.999999
[115] eval-auc:0.649242 train-auc:1
[116] eval-auc:0.65143 train-auc:1
[117] eval-auc:0.650686 train-auc:1
[118] eval-auc:0.651284 train-auc:1
[119] eval-auc:0.650725 train-auc:1
[120] eval-auc:0.65089 train-auc:1
[121] eval-auc:0.65133 train-auc:1
[122] eval-auc:0.650594 train-auc:1
[123] eval-auc:0.64969 train-auc:1
[124] eval-auc:0.649598 train-auc:1
[125] eval-auc:0.650346 train-auc:0.999999
[126] eval-auc:0.650521 train-auc:1
[127] eval-auc:0.650189 train-auc:1
[128] eval-auc:0.649145 train-auc:1
[129] eval-auc:0.648803 train-auc:1
[130] eval-auc:0.648666 train-auc:1
[131] eval-auc:0.648557 train-auc:0.999999
[132] eval-auc:0.652604 train-auc:1
[133] eval-auc:0.65259 train-auc:1
[134] eval-auc:0.652141 train-auc:1
[135] eval-auc:0.651663 train-auc:1
[136] eval-auc:0.650775 train-auc:1
[137] eval-auc:0.651691 train-auc:1
[138] eval-auc:0.652557 train-auc:1
[139] eval-auc:0.651649 train-auc:1
[140] eval-auc:0.653219 train-auc:0.999999
[141] eval-auc:0.652217 train-auc:1
[142] eval-auc:0.651585 train-auc:1
[143] eval-auc:0.650867 train-auc:1
[144] eval-auc:0.652179 train-auc:1
[145] eval-auc:0.652105 train-auc:1
[146] eval-auc:0.652778 train-auc:1
[147] eval-auc:0.652378 train-auc:1
[148] eval-auc:0.651142 train-auc:1
[149] eval-auc:0.651914 train-auc:1
[150] eval-auc:0.652301 train-auc:1
[151] eval-auc:0.652421 train-auc:1
[152] eval-auc:0.652548 train-auc:1
[153] eval-auc:0.652415 train-auc:1
[154] eval-auc:0.652045 train-auc:1
[155] eval-auc:0.651593 train-auc:1
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[159] eval-auc:0.652458 train-auc:1
[160] eval-auc:0.652301 train-auc:1
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[165] eval-auc:0.652933 train-auc:1
[166] eval-auc:0.653049 train-auc:1
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[300] eval-auc:0.647986 train-auc:1
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[305] eval-auc:0.64752 train-auc:1
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[310] eval-auc:0.647975 train-auc:1
[311] eval-auc:0.64805 train-auc:1
[312] eval-auc:0.6481 train-auc:1
[313] eval-auc:0.651563 train-auc:1
[314] eval-auc:0.651208 train-auc:1
[315] eval-auc:0.650931 train-auc:1
[316] eval-auc:0.650647 train-auc:1
[317] eval-auc:0.650647 train-auc:1
[318] eval-auc:0.65074 train-auc:1
[319] eval-auc:0.650629 train-auc:1
[320] eval-auc:0.65057 train-auc:1
[321] eval-auc:0.650437 train-auc:1
[322] eval-auc:0.650532 train-auc:1
[323] eval-auc:0.650532 train-auc:1
[324] eval-auc:0.65142 train-auc:1
[325] eval-auc:0.651531 train-auc:1
[326] eval-auc:0.651914 train-auc:1
[327] eval-auc:0.65122 train-auc:1
[328] eval-auc:0.65122 train-auc:1
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[330] eval-auc:0.650835 train-auc:1
[331] eval-auc:0.650989 train-auc:1
[332] eval-auc:0.650769 train-auc:1
[333] eval-auc:0.651048 train-auc:1
[334] eval-auc:0.651068 train-auc:1
[335] eval-auc:0.650972 train-auc:1
[336] eval-auc:0.651101 train-auc:1
[337] eval-auc:0.650994 train-auc:1
[338] eval-auc:0.650966 train-auc:1
[339] eval-auc:0.650687 train-auc:1
[340] eval-auc:0.650912 train-auc:1
[341] eval-auc:0.650912 train-auc:1
[342] eval-auc:0.651313 train-auc:1
[343] eval-auc:0.65148 train-auc:1
[344] eval-auc:0.65148 train-auc:1
[345] eval-auc:0.651809 train-auc:1
[346] eval-auc:0.651809 train-auc:1
[347] eval-auc:0.65134 train-auc:1
Score 0.6513403135621094
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9500000000000001, 'eta': 0.5, 'eval_metric': 'auc', 'gamma': 0.7000000000000001, 'max_depth': 11, 'min_child_weight': 5.0, 'n_estimators': 525.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.703361 train-auc:0.881519
[1] eval-auc:0.654664 train-auc:0.93074
[2] eval-auc:0.679271 train-auc:0.956736
[3] eval-auc:0.68663 train-auc:0.975844
[4] eval-auc:0.692611 train-auc:0.981865
[5] eval-auc:0.691102 train-auc:0.988452
[6] eval-auc:0.691184 train-auc:0.99149
[7] eval-auc:0.689741 train-auc:0.993037
[8] eval-auc:0.690539 train-auc:0.995059
[9] eval-auc:0.690318 train-auc:0.997399
[10] eval-auc:0.689677 train-auc:0.998211
[11] eval-auc:0.690966 train-auc:0.998419
[12] eval-auc:0.691888 train-auc:0.999
[13] eval-auc:0.692214 train-auc:0.999246
[14] eval-auc:0.686456 train-auc:0.999606
[15] eval-auc:0.6946 train-auc:0.999801
[16] eval-auc:0.696244 train-auc:0.999875
[17] eval-auc:0.696078 train-auc:0.999895
[18] eval-auc:0.69685 train-auc:0.999931
[19] eval-auc:0.697092 train-auc:0.999962
[20] eval-auc:0.696474 train-auc:0.999971
[21] eval-auc:0.691656 train-auc:0.999983
[22] eval-auc:0.692256 train-auc:0.999991
[23] eval-auc:0.690403 train-auc:0.99999
[24] eval-auc:0.689563 train-auc:0.999996
[25] eval-auc:0.688585 train-auc:0.999993
[26] eval-auc:0.683948 train-auc:0.999987
[27] eval-auc:0.685115 train-auc:0.999989
[28] eval-auc:0.6853 train-auc:0.999996
[29] eval-auc:0.684294 train-auc:1
[30] eval-auc:0.683027 train-auc:1
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[39] eval-auc:0.682453 train-auc:1
[40] eval-auc:0.6821 train-auc:1
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[51] eval-auc:0.684161 train-auc:1
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[54] eval-auc:0.683031 train-auc:1
[55] eval-auc:0.683108 train-auc:1
[56] eval-auc:0.68344 train-auc:1
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[59] eval-auc:0.685118 train-auc:1
[60] eval-auc:0.684879 train-auc:1
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[65] eval-auc:0.683933 train-auc:1
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[100] eval-auc:0.684512 train-auc:1
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[135] eval-auc:0.682197 train-auc:1
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[137] eval-auc:0.682113 train-auc:1
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[140] eval-auc:0.681868 train-auc:1
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[143] eval-auc:0.681529 train-auc:1
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[145] eval-auc:0.681529 train-auc:1
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[148] eval-auc:0.681475 train-auc:1
[149] eval-auc:0.680919 train-auc:1
[150] eval-auc:0.680919 train-auc:1
[151] eval-auc:0.68086 train-auc:1
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[153] eval-auc:0.68086 train-auc:1
[154] eval-auc:0.68086 train-auc:1
[155] eval-auc:0.68086 train-auc:1
[156] eval-auc:0.68086 train-auc:1
[157] eval-auc:0.680976 train-auc:1
[158] eval-auc:0.680976 train-auc:1
[159] eval-auc:0.680976 train-auc:1
[160] eval-auc:0.680976 train-auc:1
[161] eval-auc:0.680976 train-auc:1
[162] eval-auc:0.680336 train-auc:1
[163] eval-auc:0.680154 train-auc:1
[164] eval-auc:0.679802 train-auc:1
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[171] eval-auc:0.68038 train-auc:1
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[173] eval-auc:0.67991 train-auc:1
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[180] eval-auc:0.67941 train-auc:1
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[188] eval-auc:0.679347 train-auc:1
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[192] eval-auc:0.67943 train-auc:1
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[199] eval-auc:0.679576 train-auc:1
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[209] eval-auc:0.680432 train-auc:1
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[217] eval-auc:0.681283 train-auc:1
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[228] eval-auc:0.678858 train-auc:1
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[313] eval-auc:0.68072 train-auc:1
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[320] eval-auc:0.68072 train-auc:1
[321] eval-auc:0.68072 train-auc:1
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[324] eval-auc:0.680537 train-auc:1
[325] eval-auc:0.680731 train-auc:1
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[330] eval-auc:0.680731 train-auc:1
[331] eval-auc:0.680731 train-auc:1
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[333] eval-auc:0.680731 train-auc:1
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[339] eval-auc:0.680731 train-auc:1
[340] eval-auc:0.680731 train-auc:1
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[343] eval-auc:0.680731 train-auc:1
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[345] eval-auc:0.680731 train-auc:1
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[347] eval-auc:0.680696 train-auc:1
[348] eval-auc:0.680696 train-auc:1
[349] eval-auc:0.680696 train-auc:1
[350] eval-auc:0.680696 train-auc:1
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[355] eval-auc:0.680109 train-auc:1
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[357] eval-auc:0.680109 train-auc:1
[358] eval-auc:0.680109 train-auc:1
[359] eval-auc:0.680109 train-auc:1
[360] eval-auc:0.680109 train-auc:1
[361] eval-auc:0.680109 train-auc:1
[362] eval-auc:0.680109 train-auc:1
[363] eval-auc:0.680109 train-auc:1
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[365] eval-auc:0.680109 train-auc:1
[366] eval-auc:0.679835 train-auc:1
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[368] eval-auc:0.679835 train-auc:1
[369] eval-auc:0.679835 train-auc:1
[370] eval-auc:0.679835 train-auc:1
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[375] eval-auc:0.679643 train-auc:1
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[378] eval-auc:0.679643 train-auc:1
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[389] eval-auc:0.679777 train-auc:1
[390] eval-auc:0.679777 train-auc:1
[391] eval-auc:0.679777 train-auc:1
[392] eval-auc:0.679777 train-auc:1
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[395] eval-auc:0.679777 train-auc:1
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[398] eval-auc:0.679557 train-auc:1
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[400] eval-auc:0.679557 train-auc:1
[401] eval-auc:0.679557 train-auc:1
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[406] eval-auc:0.679557 train-auc:1
[407] eval-auc:0.679413 train-auc:1
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[410] eval-auc:0.679413 train-auc:1
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[415] eval-auc:0.679413 train-auc:1
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[417] eval-auc:0.679413 train-auc:1
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[419] eval-auc:0.679413 train-auc:1
[420] eval-auc:0.679413 train-auc:1
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[422] eval-auc:0.679855 train-auc:1
[423] eval-auc:0.679855 train-auc:1
[424] eval-auc:0.679855 train-auc:1
[425] eval-auc:0.679855 train-auc:1
[426] eval-auc:0.679855 train-auc:1
[427] eval-auc:0.679855 train-auc:1
[428] eval-auc:0.679855 train-auc:1
[429] eval-auc:0.679855 train-auc:1
[430] eval-auc:0.680233 train-auc:1
[431] eval-auc:0.680233 train-auc:1
[432] eval-auc:0.680233 train-auc:1
[433] eval-auc:0.680233 train-auc:1
[434] eval-auc:0.680233 train-auc:1
[435] eval-auc:0.680233 train-auc:1
[436] eval-auc:0.680233 train-auc:1
[437] eval-auc:0.680233 train-auc:1
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[445] eval-auc:0.680233 train-auc:1
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[447] eval-auc:0.680233 train-auc:1
[448] eval-auc:0.680233 train-auc:1
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[450] eval-auc:0.680233 train-auc:1
[451] eval-auc:0.680233 train-auc:1
[452] eval-auc:0.680233 train-auc:1
[453] eval-auc:0.680233 train-auc:1
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[456] eval-auc:0.680233 train-auc:1
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[460] eval-auc:0.680233 train-auc:1
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[467] eval-auc:0.680233 train-auc:1
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[469] eval-auc:0.680233 train-auc:1
[470] eval-auc:0.680233 train-auc:1
[471] eval-auc:0.680233 train-auc:1
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[475] eval-auc:0.680233 train-auc:1
[476] eval-auc:0.680233 train-auc:1
[477] eval-auc:0.680233 train-auc:1
[478] eval-auc:0.680233 train-auc:1
[479] eval-auc:0.680233 train-auc:1
[480] eval-auc:0.680415 train-auc:1
[481] eval-auc:0.680415 train-auc:1
[482] eval-auc:0.680281 train-auc:1
[483] eval-auc:0.680281 train-auc:1
[484] eval-auc:0.680281 train-auc:1
[485] eval-auc:0.680281 train-auc:1
[486] eval-auc:0.680281 train-auc:1
[487] eval-auc:0.680281 train-auc:1
[488] eval-auc:0.680281 train-auc:1
[489] eval-auc:0.680281 train-auc:1
[490] eval-auc:0.680281 train-auc:1
[491] eval-auc:0.680281 train-auc:1
[492] eval-auc:0.680281 train-auc:1
[493] eval-auc:0.680301 train-auc:1
[494] eval-auc:0.680301 train-auc:1
[495] eval-auc:0.680301 train-auc:1
[496] eval-auc:0.680301 train-auc:1
[497] eval-auc:0.680699 train-auc:1
[498] eval-auc:0.680699 train-auc:1
[499] eval-auc:0.680699 train-auc:1
[500] eval-auc:0.680699 train-auc:1
[501] eval-auc:0.680699 train-auc:1
[502] eval-auc:0.680699 train-auc:1
[503] eval-auc:0.680699 train-auc:1
[504] eval-auc:0.680699 train-auc:1
[505] eval-auc:0.680699 train-auc:1
[506] eval-auc:0.680699 train-auc:1
[507] eval-auc:0.680699 train-auc:1
[508] eval-auc:0.680699 train-auc:1
[509] eval-auc:0.680699 train-auc:1
[510] eval-auc:0.680699 train-auc:1
[511] eval-auc:0.680699 train-auc:1
[512] eval-auc:0.680699 train-auc:1
[513] eval-auc:0.680699 train-auc:1
[514] eval-auc:0.680699 train-auc:1
[515] eval-auc:0.680699 train-auc:1
[516] eval-auc:0.680699 train-auc:1
[517] eval-auc:0.680699 train-auc:1
[518] eval-auc:0.680699 train-auc:1
[519] eval-auc:0.680699 train-auc:1
[520] eval-auc:0.680699 train-auc:1
[521] eval-auc:0.680699 train-auc:1
[522] eval-auc:0.680699 train-auc:1
[523] eval-auc:0.680699 train-auc:1
[524] eval-auc:0.680699 train-auc:1
Score 0.6806986928821157
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9, 'eta': 0.05, 'eval_metric': 'auc', 'gamma': 0.7000000000000001, 'max_depth': 4, 'min_child_weight': 3.0, 'n_estimators': 302.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.8500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.701151 train-auc:0.724841
[1] eval-auc:0.684494 train-auc:0.743404
[2] eval-auc:0.691259 train-auc:0.758426
[3] eval-auc:0.685221 train-auc:0.76782
[4] eval-auc:0.681191 train-auc:0.774198
[5] eval-auc:0.681553 train-auc:0.784043
[6] eval-auc:0.687056 train-auc:0.780243
[7] eval-auc:0.6907 train-auc:0.780384
[8] eval-auc:0.693854 train-auc:0.783973
[9] eval-auc:0.698665 train-auc:0.781827
[10] eval-auc:0.699342 train-auc:0.787794
[11] eval-auc:0.697949 train-auc:0.793924
[12] eval-auc:0.695264 train-auc:0.791651
[13] eval-auc:0.696826 train-auc:0.788872
[14] eval-auc:0.695095 train-auc:0.786157
[15] eval-auc:0.694328 train-auc:0.790946
[16] eval-auc:0.6939 train-auc:0.793346
[17] eval-auc:0.692993 train-auc:0.795179
[18] eval-auc:0.692163 train-auc:0.795424
[19] eval-auc:0.69219 train-auc:0.797277
[20] eval-auc:0.694489 train-auc:0.797507
[21] eval-auc:0.695475 train-auc:0.801351
[22] eval-auc:0.697248 train-auc:0.80172
[23] eval-auc:0.697933 train-auc:0.80494
[24] eval-auc:0.697333 train-auc:0.809623
[25] eval-auc:0.697695 train-auc:0.811894
[26] eval-auc:0.696465 train-auc:0.812697
[27] eval-auc:0.698091 train-auc:0.815801
[28] eval-auc:0.698375 train-auc:0.814272
[29] eval-auc:0.698626 train-auc:0.814434
[30] eval-auc:0.700389 train-auc:0.816143
[31] eval-auc:0.700665 train-auc:0.817785
[32] eval-auc:0.701313 train-auc:0.819755
[33] eval-auc:0.70091 train-auc:0.821743
[34] eval-auc:0.702385 train-auc:0.824444
[35] eval-auc:0.701485 train-auc:0.826589
[36] eval-auc:0.701083 train-auc:0.828273
[37] eval-auc:0.701518 train-auc:0.828017
[38] eval-auc:0.702094 train-auc:0.827748
[39] eval-auc:0.70189 train-auc:0.828492
[40] eval-auc:0.701709 train-auc:0.830248
[41] eval-auc:0.701786 train-auc:0.831324
[42] eval-auc:0.701674 train-auc:0.831421
[43] eval-auc:0.701603 train-auc:0.833215
[44] eval-auc:0.701799 train-auc:0.833833
[45] eval-auc:0.701999 train-auc:0.834897
[46] eval-auc:0.700624 train-auc:0.836169
[47] eval-auc:0.702022 train-auc:0.836524
[48] eval-auc:0.701492 train-auc:0.839137
[49] eval-auc:0.699352 train-auc:0.8417
[50] eval-auc:0.698676 train-auc:0.841847
[51] eval-auc:0.698227 train-auc:0.843767
[52] eval-auc:0.699407 train-auc:0.844431
[53] eval-auc:0.699739 train-auc:0.844223
[54] eval-auc:0.699757 train-auc:0.845426
[55] eval-auc:0.700111 train-auc:0.84624
[56] eval-auc:0.699587 train-auc:0.847621
[57] eval-auc:0.698662 train-auc:0.848898
[58] eval-auc:0.698512 train-auc:0.850681
[59] eval-auc:0.698414 train-auc:0.850665
[60] eval-auc:0.699568 train-auc:0.851327
[61] eval-auc:0.69943 train-auc:0.852278
[62] eval-auc:0.699138 train-auc:0.852992
[63] eval-auc:0.698705 train-auc:0.853831
[64] eval-auc:0.698446 train-auc:0.853917
[65] eval-auc:0.698442 train-auc:0.853656
[66] eval-auc:0.69894 train-auc:0.856401
[67] eval-auc:0.698851 train-auc:0.857267
[68] eval-auc:0.700027 train-auc:0.859344
[69] eval-auc:0.700895 train-auc:0.860589
[70] eval-auc:0.700465 train-auc:0.861151
[71] eval-auc:0.700642 train-auc:0.863094
[72] eval-auc:0.701262 train-auc:0.863894
[73] eval-auc:0.701475 train-auc:0.863947
[74] eval-auc:0.701744 train-auc:0.864844
[75] eval-auc:0.701251 train-auc:0.867638
[76] eval-auc:0.701572 train-auc:0.868493
[77] eval-auc:0.701141 train-auc:0.869521
[78] eval-auc:0.700648 train-auc:0.870445
[79] eval-auc:0.700828 train-auc:0.870957
[80] eval-auc:0.700834 train-auc:0.872791
[81] eval-auc:0.700579 train-auc:0.874107
[82] eval-auc:0.700848 train-auc:0.874077
[83] eval-auc:0.701496 train-auc:0.873699
[84] eval-auc:0.701997 train-auc:0.875092
[85] eval-auc:0.701993 train-auc:0.875032
[86] eval-auc:0.701947 train-auc:0.875794
[87] eval-auc:0.701612 train-auc:0.877292
[88] eval-auc:0.702035 train-auc:0.877694
[89] eval-auc:0.701291 train-auc:0.8781
[90] eval-auc:0.701186 train-auc:0.878218
[91] eval-auc:0.701096 train-auc:0.878824
[92] eval-auc:0.700936 train-auc:0.88073
[93] eval-auc:0.700575 train-auc:0.881001
[94] eval-auc:0.701105 train-auc:0.882798
[95] eval-auc:0.701105 train-auc:0.882834
[96] eval-auc:0.701397 train-auc:0.883122
[97] eval-auc:0.701505 train-auc:0.883728
[98] eval-auc:0.701422 train-auc:0.88373
[99] eval-auc:0.701388 train-auc:0.884778
[100] eval-auc:0.701458 train-auc:0.884865
[101] eval-auc:0.702052 train-auc:0.885791
[102] eval-auc:0.701397 train-auc:0.886253
[103] eval-auc:0.701502 train-auc:0.88699
[104] eval-auc:0.701391 train-auc:0.88757
[105] eval-auc:0.700316 train-auc:0.88834
[106] eval-auc:0.699634 train-auc:0.889794
[107] eval-auc:0.699741 train-auc:0.890861
[108] eval-auc:0.699823 train-auc:0.890942
[109] eval-auc:0.700004 train-auc:0.891892
[110] eval-auc:0.700002 train-auc:0.892091
[111] eval-auc:0.699614 train-auc:0.892267
[112] eval-auc:0.699418 train-auc:0.893014
[113] eval-auc:0.699724 train-auc:0.893696
[114] eval-auc:0.698828 train-auc:0.894408
[115] eval-auc:0.699232 train-auc:0.895376
[116] eval-auc:0.698988 train-auc:0.895422
[117] eval-auc:0.699067 train-auc:0.896476
[118] eval-auc:0.699127 train-auc:0.896578
[119] eval-auc:0.699425 train-auc:0.897621
[120] eval-auc:0.699425 train-auc:0.897747
[121] eval-auc:0.699433 train-auc:0.89801
[122] eval-auc:0.699489 train-auc:0.898734
[123] eval-auc:0.699954 train-auc:0.899439
[124] eval-auc:0.699702 train-auc:0.89972
[125] eval-auc:0.700668 train-auc:0.900462
[126] eval-auc:0.700636 train-auc:0.901521
[127] eval-auc:0.700321 train-auc:0.902397
[128] eval-auc:0.700369 train-auc:0.90292
[129] eval-auc:0.700845 train-auc:0.903439
[130] eval-auc:0.701109 train-auc:0.904265
[131] eval-auc:0.701123 train-auc:0.904826
[132] eval-auc:0.699698 train-auc:0.906076
[133] eval-auc:0.699562 train-auc:0.906581
[134] eval-auc:0.699561 train-auc:0.90659
[135] eval-auc:0.699905 train-auc:0.907222
[136] eval-auc:0.698929 train-auc:0.90799
[137] eval-auc:0.698606 train-auc:0.908319
[138] eval-auc:0.697428 train-auc:0.908693
[139] eval-auc:0.697724 train-auc:0.909028
[140] eval-auc:0.69784 train-auc:0.909511
[141] eval-auc:0.697829 train-auc:0.909664
[142] eval-auc:0.697587 train-auc:0.910037
[143] eval-auc:0.69758 train-auc:0.910714
[144] eval-auc:0.697455 train-auc:0.910994
[145] eval-auc:0.697041 train-auc:0.911677
[146] eval-auc:0.696517 train-auc:0.912785
[147] eval-auc:0.69723 train-auc:0.912788
[148] eval-auc:0.697112 train-auc:0.913086
[149] eval-auc:0.698093 train-auc:0.913745
[150] eval-auc:0.698146 train-auc:0.914151
[151] eval-auc:0.6981 train-auc:0.91487
[152] eval-auc:0.698676 train-auc:0.915711
[153] eval-auc:0.699314 train-auc:0.91578
[154] eval-auc:0.69964 train-auc:0.91598
[155] eval-auc:0.700214 train-auc:0.916644
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[157] eval-auc:0.701522 train-auc:0.917557
[158] eval-auc:0.701154 train-auc:0.917878
[159] eval-auc:0.700921 train-auc:0.918516
[160] eval-auc:0.700913 train-auc:0.918631
[161] eval-auc:0.700468 train-auc:0.919348
[162] eval-auc:0.701157 train-auc:0.919687
[163] eval-auc:0.700867 train-auc:0.920675
[164] eval-auc:0.70121 train-auc:0.921008
[165] eval-auc:0.701556 train-auc:0.921625
[166] eval-auc:0.701091 train-auc:0.922413
[167] eval-auc:0.701026 train-auc:0.923475
[168] eval-auc:0.700984 train-auc:0.923617
[169] eval-auc:0.701495 train-auc:0.923671
[170] eval-auc:0.701742 train-auc:0.923826
[171] eval-auc:0.701909 train-auc:0.924026
[172] eval-auc:0.702261 train-auc:0.924475
[173] eval-auc:0.702146 train-auc:0.924712
[174] eval-auc:0.702291 train-auc:0.925391
[175] eval-auc:0.701531 train-auc:0.925706
[176] eval-auc:0.701108 train-auc:0.926551
[177] eval-auc:0.70142 train-auc:0.926656
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[179] eval-auc:0.701822 train-auc:0.927154
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[184] eval-auc:0.702122 train-auc:0.928777
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[188] eval-auc:0.702471 train-auc:0.930434
[189] eval-auc:0.702427 train-auc:0.930993
[190] eval-auc:0.702807 train-auc:0.930944
[191] eval-auc:0.702669 train-auc:0.93128
[192] eval-auc:0.703046 train-auc:0.931987
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[195] eval-auc:0.703174 train-auc:0.933283
[196] eval-auc:0.703212 train-auc:0.933364
[197] eval-auc:0.70329 train-auc:0.933791
[198] eval-auc:0.703199 train-auc:0.934438
[199] eval-auc:0.703432 train-auc:0.934596
[200] eval-auc:0.703186 train-auc:0.935171
[201] eval-auc:0.70331 train-auc:0.935444
[202] eval-auc:0.703632 train-auc:0.935562
[203] eval-auc:0.704006 train-auc:0.935893
[204] eval-auc:0.703832 train-auc:0.936138
[205] eval-auc:0.70398 train-auc:0.93655
[206] eval-auc:0.70311 train-auc:0.936925
[207] eval-auc:0.703185 train-auc:0.937469
[208] eval-auc:0.703773 train-auc:0.937954
[209] eval-auc:0.70304 train-auc:0.938043
[210] eval-auc:0.702778 train-auc:0.938239
[211] eval-auc:0.703036 train-auc:0.938509
[212] eval-auc:0.702873 train-auc:0.939084
[213] eval-auc:0.702701 train-auc:0.939574
[214] eval-auc:0.702876 train-auc:0.939661
[215] eval-auc:0.702759 train-auc:0.939923
[216] eval-auc:0.702944 train-auc:0.939948
[217] eval-auc:0.703063 train-auc:0.940338
[218] eval-auc:0.702809 train-auc:0.940504
[219] eval-auc:0.702912 train-auc:0.940839
[220] eval-auc:0.703069 train-auc:0.941151
[221] eval-auc:0.703489 train-auc:0.941599
[222] eval-auc:0.70357 train-auc:0.941682
[223] eval-auc:0.703677 train-auc:0.941594
[224] eval-auc:0.703299 train-auc:0.941703
[225] eval-auc:0.703668 train-auc:0.941805
[226] eval-auc:0.70362 train-auc:0.94237
[227] eval-auc:0.703479 train-auc:0.942506
[228] eval-auc:0.703825 train-auc:0.942441
[229] eval-auc:0.704045 train-auc:0.943123
[230] eval-auc:0.704514 train-auc:0.94331
[231] eval-auc:0.70463 train-auc:0.943439
[232] eval-auc:0.704598 train-auc:0.943765
[233] eval-auc:0.704833 train-auc:0.944422
[234] eval-auc:0.704909 train-auc:0.944574
[235] eval-auc:0.704593 train-auc:0.944614
[236] eval-auc:0.70497 train-auc:0.944779
[237] eval-auc:0.705524 train-auc:0.945421
[238] eval-auc:0.705251 train-auc:0.945859
[239] eval-auc:0.705302 train-auc:0.94603
[240] eval-auc:0.705509 train-auc:0.946451
[241] eval-auc:0.70536 train-auc:0.94671
[242] eval-auc:0.705316 train-auc:0.946617
[243] eval-auc:0.705292 train-auc:0.946789
[244] eval-auc:0.705422 train-auc:0.947178
[245] eval-auc:0.704897 train-auc:0.947234
[246] eval-auc:0.705299 train-auc:0.947274
[247] eval-auc:0.705228 train-auc:0.94756
[248] eval-auc:0.705164 train-auc:0.947632
[249] eval-auc:0.705244 train-auc:0.947565
[250] eval-auc:0.705665 train-auc:0.947808
[251] eval-auc:0.70548 train-auc:0.948266
[252] eval-auc:0.705635 train-auc:0.948437
[253] eval-auc:0.706017 train-auc:0.948467
[254] eval-auc:0.70587 train-auc:0.948457
[255] eval-auc:0.705912 train-auc:0.948598
[256] eval-auc:0.706052 train-auc:0.949168
[257] eval-auc:0.705806 train-auc:0.949351
[258] eval-auc:0.705806 train-auc:0.949793
[259] eval-auc:0.705784 train-auc:0.950279
[260] eval-auc:0.705758 train-auc:0.950706
[261] eval-auc:0.705722 train-auc:0.951071
[262] eval-auc:0.705431 train-auc:0.951277
[263] eval-auc:0.705766 train-auc:0.951695
[264] eval-auc:0.705624 train-auc:0.95185
[265] eval-auc:0.705618 train-auc:0.952098
[266] eval-auc:0.705544 train-auc:0.952217
[267] eval-auc:0.705763 train-auc:0.952499
[268] eval-auc:0.705851 train-auc:0.952778
[269] eval-auc:0.706221 train-auc:0.95281
[270] eval-auc:0.706346 train-auc:0.952992
[271] eval-auc:0.706363 train-auc:0.953199
[272] eval-auc:0.706558 train-auc:0.953514
[273] eval-auc:0.706314 train-auc:0.953769
[274] eval-auc:0.706337 train-auc:0.953824
[275] eval-auc:0.706183 train-auc:0.954103
[276] eval-auc:0.706237 train-auc:0.954291
[277] eval-auc:0.705772 train-auc:0.954659
[278] eval-auc:0.705999 train-auc:0.954949
[279] eval-auc:0.705675 train-auc:0.955069
[280] eval-auc:0.705708 train-auc:0.955448
[281] eval-auc:0.705664 train-auc:0.955478
[282] eval-auc:0.705612 train-auc:0.955491
[283] eval-auc:0.705413 train-auc:0.955797
[284] eval-auc:0.705163 train-auc:0.955907
[285] eval-auc:0.705064 train-auc:0.956128
[286] eval-auc:0.704919 train-auc:0.956409
[287] eval-auc:0.704705 train-auc:0.956593
[288] eval-auc:0.704674 train-auc:0.956745
[289] eval-auc:0.70466 train-auc:0.956902
[290] eval-auc:0.704536 train-auc:0.957193
[291] eval-auc:0.704558 train-auc:0.957628
[292] eval-auc:0.704569 train-auc:0.957877
[293] eval-auc:0.704676 train-auc:0.957881
[294] eval-auc:0.704897 train-auc:0.957884
[295] eval-auc:0.7049 train-auc:0.95798
[296] eval-auc:0.705241 train-auc:0.958154
[297] eval-auc:0.70569 train-auc:0.958114
[298] eval-auc:0.70555 train-auc:0.958115
[299] eval-auc:0.705478 train-auc:0.958509
[300] eval-auc:0.705682 train-auc:0.958646
[301] eval-auc:0.705728 train-auc:0.958788
Score 0.7057279294424343
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 1.0, 'eta': 0.275, 'eval_metric': 'auc', 'gamma': 0.75, 'max_depth': 12, 'min_child_weight': 3.0, 'n_estimators': 913.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.70675 train-auc:0.90127
[1] eval-auc:0.695106 train-auc:0.940076
[2] eval-auc:0.686203 train-auc:0.975028
[3] eval-auc:0.695653 train-auc:0.986348
[4] eval-auc:0.702307 train-auc:0.992318
[5] eval-auc:0.706213 train-auc:0.994804
[6] eval-auc:0.708606 train-auc:0.9969
[7] eval-auc:0.705087 train-auc:0.997904
[8] eval-auc:0.704341 train-auc:0.998746
[9] eval-auc:0.702061 train-auc:0.999397
[10] eval-auc:0.702326 train-auc:0.999518
[11] eval-auc:0.70423 train-auc:0.999639
[12] eval-auc:0.704587 train-auc:0.999705
[13] eval-auc:0.704309 train-auc:0.999718
[14] eval-auc:0.702947 train-auc:0.999857
[15] eval-auc:0.703971 train-auc:0.999905
[16] eval-auc:0.70357 train-auc:0.999915
[17] eval-auc:0.702376 train-auc:0.999943
[18] eval-auc:0.703546 train-auc:0.999986
[19] eval-auc:0.705064 train-auc:0.999995
[20] eval-auc:0.706281 train-auc:0.999994
[21] eval-auc:0.70541 train-auc:0.999999
[22] eval-auc:0.709157 train-auc:1
[23] eval-auc:0.708607 train-auc:1
[24] eval-auc:0.707968 train-auc:1
[25] eval-auc:0.708856 train-auc:1
[26] eval-auc:0.709291 train-auc:1
[27] eval-auc:0.708761 train-auc:1
[28] eval-auc:0.706585 train-auc:1
[29] eval-auc:0.706477 train-auc:1
[30] eval-auc:0.704321 train-auc:1
[31] eval-auc:0.705437 train-auc:1
[32] eval-auc:0.704924 train-auc:1
[33] eval-auc:0.704519 train-auc:1
[34] eval-auc:0.706031 train-auc:1
[35] eval-auc:0.707273 train-auc:1
[36] eval-auc:0.706419 train-auc:1
[37] eval-auc:0.705934 train-auc:1
[38] eval-auc:0.705496 train-auc:1
[39] eval-auc:0.705602 train-auc:1
[40] eval-auc:0.705865 train-auc:1
[41] eval-auc:0.704898 train-auc:1
[42] eval-auc:0.704986 train-auc:1
[43] eval-auc:0.704502 train-auc:1
[44] eval-auc:0.704727 train-auc:1
[45] eval-auc:0.705093 train-auc:1
[46] eval-auc:0.705137 train-auc:1
[47] eval-auc:0.705653 train-auc:1
[48] eval-auc:0.706124 train-auc:1
[49] eval-auc:0.704691 train-auc:1
[50] eval-auc:0.705027 train-auc:1
[51] eval-auc:0.705722 train-auc:1
[52] eval-auc:0.706173 train-auc:1
[53] eval-auc:0.707072 train-auc:1
[54] eval-auc:0.706578 train-auc:1
[55] eval-auc:0.705981 train-auc:1
[56] eval-auc:0.705862 train-auc:1
[57] eval-auc:0.705419 train-auc:1
[58] eval-auc:0.704313 train-auc:1
[59] eval-auc:0.704207 train-auc:1
[60] eval-auc:0.703654 train-auc:1
[61] eval-auc:0.703308 train-auc:1
[62] eval-auc:0.703753 train-auc:1
[63] eval-auc:0.704106 train-auc:1
[64] eval-auc:0.704277 train-auc:1
[65] eval-auc:0.704446 train-auc:1
[66] eval-auc:0.704753 train-auc:1
[67] eval-auc:0.703887 train-auc:1
[68] eval-auc:0.704083 train-auc:1
[69] eval-auc:0.704123 train-auc:1
[70] eval-auc:0.703628 train-auc:1
[71] eval-auc:0.704379 train-auc:1
[72] eval-auc:0.704554 train-auc:1
[73] eval-auc:0.704423 train-auc:1
[74] eval-auc:0.704418 train-auc:1
[75] eval-auc:0.703281 train-auc:1
[76] eval-auc:0.703267 train-auc:1
[77] eval-auc:0.70306 train-auc:1
[78] eval-auc:0.702848 train-auc:1
[79] eval-auc:0.702388 train-auc:1
[80] eval-auc:0.702772 train-auc:1
[81] eval-auc:0.702584 train-auc:1
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[84] eval-auc:0.702521 train-auc:1
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[89] eval-auc:0.702116 train-auc:1
[90] eval-auc:0.70186 train-auc:1
[91] eval-auc:0.701974 train-auc:1
[92] eval-auc:0.701971 train-auc:1
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[95] eval-auc:0.702177 train-auc:1
[96] eval-auc:0.702086 train-auc:1
[97] eval-auc:0.702443 train-auc:1
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[99] eval-auc:0.702465 train-auc:1
[100] eval-auc:0.703593 train-auc:1
[101] eval-auc:0.703515 train-auc:1
[102] eval-auc:0.703832 train-auc:1
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[105] eval-auc:0.703493 train-auc:1
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[107] eval-auc:0.703305 train-auc:1
[108] eval-auc:0.703161 train-auc:1
[109] eval-auc:0.702806 train-auc:1
[110] eval-auc:0.703441 train-auc:1
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[112] eval-auc:0.70318 train-auc:1
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[114] eval-auc:0.70333 train-auc:1
[115] eval-auc:0.703521 train-auc:1
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[117] eval-auc:0.704173 train-auc:1
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[119] eval-auc:0.704432 train-auc:1
[120] eval-auc:0.704245 train-auc:1
[121] eval-auc:0.703497 train-auc:1
[122] eval-auc:0.70341 train-auc:1
[123] eval-auc:0.703438 train-auc:1
[124] eval-auc:0.703712 train-auc:1
[125] eval-auc:0.703821 train-auc:1
[126] eval-auc:0.703811 train-auc:1
[127] eval-auc:0.703465 train-auc:1
[128] eval-auc:0.70331 train-auc:1
[129] eval-auc:0.703419 train-auc:1
[130] eval-auc:0.70373 train-auc:1
[131] eval-auc:0.70373 train-auc:1
[132] eval-auc:0.70373 train-auc:1
[133] eval-auc:0.70373 train-auc:1
[134] eval-auc:0.705215 train-auc:1
[135] eval-auc:0.705215 train-auc:1
[136] eval-auc:0.705172 train-auc:1
[137] eval-auc:0.705107 train-auc:1
[138] eval-auc:0.704743 train-auc:1
[139] eval-auc:0.704694 train-auc:1
[140] eval-auc:0.70493 train-auc:1
[141] eval-auc:0.705008 train-auc:1
[142] eval-auc:0.705008 train-auc:1
[143] eval-auc:0.705008 train-auc:1
[144] eval-auc:0.704945 train-auc:1
[145] eval-auc:0.704738 train-auc:1
[146] eval-auc:0.704472 train-auc:1
[147] eval-auc:0.704472 train-auc:1
[148] eval-auc:0.703814 train-auc:1
[149] eval-auc:0.703745 train-auc:1
[150] eval-auc:0.703745 train-auc:1
[151] eval-auc:0.70347 train-auc:1
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[153] eval-auc:0.703543 train-auc:1
[154] eval-auc:0.703543 train-auc:1
[155] eval-auc:0.703301 train-auc:1
[156] eval-auc:0.703155 train-auc:1
[157] eval-auc:0.702967 train-auc:1
[158] eval-auc:0.702967 train-auc:1
[159] eval-auc:0.703045 train-auc:1
[160] eval-auc:0.702937 train-auc:1
[161] eval-auc:0.70303 train-auc:1
[162] eval-auc:0.70303 train-auc:1
[163] eval-auc:0.70303 train-auc:1
[164] eval-auc:0.70303 train-auc:1
[165] eval-auc:0.70303 train-auc:1
[166] eval-auc:0.703255 train-auc:1
[167] eval-auc:0.703255 train-auc:1
[168] eval-auc:0.703255 train-auc:1
[169] eval-auc:0.703255 train-auc:1
[170] eval-auc:0.703129 train-auc:1
[171] eval-auc:0.703416 train-auc:1
[172] eval-auc:0.703416 train-auc:1
[173] eval-auc:0.703512 train-auc:1
[174] eval-auc:0.703101 train-auc:1
[175] eval-auc:0.703101 train-auc:1
[176] eval-auc:0.703221 train-auc:1
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[178] eval-auc:0.70304 train-auc:1
[179] eval-auc:0.703506 train-auc:1
[180] eval-auc:0.703445 train-auc:1
[181] eval-auc:0.70333 train-auc:1
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[184] eval-auc:0.70333 train-auc:1
[185] eval-auc:0.703525 train-auc:1
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[187] eval-auc:0.703438 train-auc:1
[188] eval-auc:0.703438 train-auc:1
[189] eval-auc:0.703438 train-auc:1
[190] eval-auc:0.703438 train-auc:1
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[192] eval-auc:0.703209 train-auc:1
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[201] eval-auc:0.703346 train-auc:1
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[205] eval-auc:0.70396 train-auc:1
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[208] eval-auc:0.704 train-auc:1
[209] eval-auc:0.703834 train-auc:1
[210] eval-auc:0.703834 train-auc:1
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[213] eval-auc:0.703701 train-auc:1
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[700] eval-auc:0.703352 train-auc:1
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[843] eval-auc:0.702655 train-auc:1
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[846] eval-auc:0.702443 train-auc:1
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[861] eval-auc:0.702367 train-auc:1
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[870] eval-auc:0.702367 train-auc:1
[871] eval-auc:0.702367 train-auc:1
[872] eval-auc:0.702367 train-auc:1
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[875] eval-auc:0.702367 train-auc:1
[876] eval-auc:0.702367 train-auc:1
[877] eval-auc:0.702367 train-auc:1
[878] eval-auc:0.702367 train-auc:1
[879] eval-auc:0.702367 train-auc:1
[880] eval-auc:0.702367 train-auc:1
[881] eval-auc:0.702367 train-auc:1
[882] eval-auc:0.702367 train-auc:1
[883] eval-auc:0.70241 train-auc:1
[884] eval-auc:0.70241 train-auc:1
[885] eval-auc:0.70241 train-auc:1
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[888] eval-auc:0.70241 train-auc:1
[889] eval-auc:0.702389 train-auc:1
[890] eval-auc:0.702389 train-auc:1
[891] eval-auc:0.702389 train-auc:1
[892] eval-auc:0.702389 train-auc:1
[893] eval-auc:0.702389 train-auc:1
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[896] eval-auc:0.702389 train-auc:1
[897] eval-auc:0.702389 train-auc:1
[898] eval-auc:0.702389 train-auc:1
[899] eval-auc:0.702389 train-auc:1
[900] eval-auc:0.702389 train-auc:1
[901] eval-auc:0.702389 train-auc:1
[902] eval-auc:0.702389 train-auc:1
[903] eval-auc:0.702389 train-auc:1
[904] eval-auc:0.702389 train-auc:1
[905] eval-auc:0.702389 train-auc:1
[906] eval-auc:0.702389 train-auc:1
[907] eval-auc:0.702389 train-auc:1
[908] eval-auc:0.702389 train-auc:1
[909] eval-auc:0.702389 train-auc:1
[910] eval-auc:0.702389 train-auc:1
[911] eval-auc:0.702389 train-auc:1
[912] eval-auc:0.702389 train-auc:1
Score 0.7023885660685354
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.65, 'eta': 0.30000000000000004, 'eval_metric': 'auc', 'gamma': 0.5, 'max_depth': 3, 'min_child_weight': 5.0, 'n_estimators': 493.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.65, 'tree_method': 'exact'}
[0] eval-auc:0.660047 train-auc:0.697445
[1] eval-auc:0.659815 train-auc:0.706107
[2] eval-auc:0.673004 train-auc:0.72681
[3] eval-auc:0.66728 train-auc:0.730939
[4] eval-auc:0.681586 train-auc:0.743886
[5] eval-auc:0.686006 train-auc:0.74839
[6] eval-auc:0.691921 train-auc:0.752017
[7] eval-auc:0.693203 train-auc:0.756688
[8] eval-auc:0.699427 train-auc:0.759542
[9] eval-auc:0.697833 train-auc:0.763072
[10] eval-auc:0.692823 train-auc:0.767471
[11] eval-auc:0.691271 train-auc:0.77089
[12] eval-auc:0.692219 train-auc:0.77262
[13] eval-auc:0.694639 train-auc:0.773747
[14] eval-auc:0.688315 train-auc:0.776341
[15] eval-auc:0.684776 train-auc:0.77779
[16] eval-auc:0.688182 train-auc:0.779459
[17] eval-auc:0.692906 train-auc:0.786828
[18] eval-auc:0.692553 train-auc:0.787887
[19] eval-auc:0.691666 train-auc:0.790235
[20] eval-auc:0.693066 train-auc:0.791981
[21] eval-auc:0.692108 train-auc:0.794482
[22] eval-auc:0.693551 train-auc:0.797902
[23] eval-auc:0.693736 train-auc:0.799717
[24] eval-auc:0.697167 train-auc:0.803128
[25] eval-auc:0.69932 train-auc:0.806775
[26] eval-auc:0.697376 train-auc:0.807626
[27] eval-auc:0.696502 train-auc:0.810313
[28] eval-auc:0.696655 train-auc:0.813241
[29] eval-auc:0.695424 train-auc:0.812931
[30] eval-auc:0.694118 train-auc:0.817188
[31] eval-auc:0.697249 train-auc:0.818428
[32] eval-auc:0.697018 train-auc:0.821903
[33] eval-auc:0.694272 train-auc:0.8232
[34] eval-auc:0.693196 train-auc:0.825181
[35] eval-auc:0.691138 train-auc:0.82796
[36] eval-auc:0.689928 train-auc:0.829892
[37] eval-auc:0.691885 train-auc:0.831403
[38] eval-auc:0.690496 train-auc:0.833129
[39] eval-auc:0.689101 train-auc:0.834811
[40] eval-auc:0.688876 train-auc:0.836155
[41] eval-auc:0.687901 train-auc:0.837283
[42] eval-auc:0.689415 train-auc:0.837781
[43] eval-auc:0.69008 train-auc:0.840121
[44] eval-auc:0.688396 train-auc:0.84174
[45] eval-auc:0.68813 train-auc:0.843858
[46] eval-auc:0.68611 train-auc:0.846654
[47] eval-auc:0.684216 train-auc:0.848292
[48] eval-auc:0.685838 train-auc:0.848099
[49] eval-auc:0.68633 train-auc:0.850383
[50] eval-auc:0.687115 train-auc:0.851045
[51] eval-auc:0.686896 train-auc:0.850609
[52] eval-auc:0.687374 train-auc:0.852388
[53] eval-auc:0.688816 train-auc:0.853383
[54] eval-auc:0.689235 train-auc:0.855242
[55] eval-auc:0.692039 train-auc:0.858204
[56] eval-auc:0.691471 train-auc:0.85995
[57] eval-auc:0.692022 train-auc:0.860774
[58] eval-auc:0.693252 train-auc:0.861354
[59] eval-auc:0.692433 train-auc:0.861531
[60] eval-auc:0.693592 train-auc:0.86409
[61] eval-auc:0.69177 train-auc:0.865057
[62] eval-auc:0.689984 train-auc:0.866494
[63] eval-auc:0.692358 train-auc:0.86837
[64] eval-auc:0.691168 train-auc:0.8701
[65] eval-auc:0.691023 train-auc:0.869406
[66] eval-auc:0.690912 train-auc:0.869984
[67] eval-auc:0.690399 train-auc:0.870853
[68] eval-auc:0.690395 train-auc:0.869104
[69] eval-auc:0.690275 train-auc:0.869567
[70] eval-auc:0.690784 train-auc:0.870973
[71] eval-auc:0.6925 train-auc:0.873057
[72] eval-auc:0.693139 train-auc:0.873897
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[76] eval-auc:0.693407 train-auc:0.879419
[77] eval-auc:0.692444 train-auc:0.87974
[78] eval-auc:0.693228 train-auc:0.881884
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[80] eval-auc:0.694712 train-auc:0.883391
[81] eval-auc:0.694123 train-auc:0.884328
[82] eval-auc:0.693761 train-auc:0.884162
[83] eval-auc:0.694516 train-auc:0.88516
[84] eval-auc:0.692649 train-auc:0.885355
[85] eval-auc:0.692783 train-auc:0.886245
[86] eval-auc:0.692422 train-auc:0.886741
[87] eval-auc:0.693911 train-auc:0.887882
[88] eval-auc:0.694122 train-auc:0.889322
[89] eval-auc:0.695443 train-auc:0.890427
[90] eval-auc:0.694192 train-auc:0.891596
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[92] eval-auc:0.695921 train-auc:0.893357
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[95] eval-auc:0.695084 train-auc:0.895448
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[100] eval-auc:0.693762 train-auc:0.900311
[101] eval-auc:0.694277 train-auc:0.900416
[102] eval-auc:0.695468 train-auc:0.901059
[103] eval-auc:0.696287 train-auc:0.901707
[104] eval-auc:0.695754 train-auc:0.902605
[105] eval-auc:0.695253 train-auc:0.903583
[106] eval-auc:0.694554 train-auc:0.903541
[107] eval-auc:0.695244 train-auc:0.902562
[108] eval-auc:0.693733 train-auc:0.904412
[109] eval-auc:0.691448 train-auc:0.906504
[110] eval-auc:0.690935 train-auc:0.907054
[111] eval-auc:0.692311 train-auc:0.908221
[112] eval-auc:0.692579 train-auc:0.910055
[113] eval-auc:0.692453 train-auc:0.909761
[114] eval-auc:0.692236 train-auc:0.91051
[115] eval-auc:0.69231 train-auc:0.911083
[116] eval-auc:0.693841 train-auc:0.911633
[117] eval-auc:0.693283 train-auc:0.912464
[118] eval-auc:0.693065 train-auc:0.912757
[119] eval-auc:0.692678 train-auc:0.912888
[120] eval-auc:0.693229 train-auc:0.913173
[121] eval-auc:0.692693 train-auc:0.913966
[122] eval-auc:0.691224 train-auc:0.914697
[123] eval-auc:0.691169 train-auc:0.915483
[124] eval-auc:0.691866 train-auc:0.916012
[125] eval-auc:0.692497 train-auc:0.91659
[126] eval-auc:0.692879 train-auc:0.917313
[127] eval-auc:0.692424 train-auc:0.918558
[128] eval-auc:0.693485 train-auc:0.918475
[129] eval-auc:0.693269 train-auc:0.919829
[130] eval-auc:0.693986 train-auc:0.918956
[131] eval-auc:0.693838 train-auc:0.919062
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[133] eval-auc:0.6934 train-auc:0.92112
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[456] eval-auc:0.680717 train-auc:0.984215
[457] eval-auc:0.681236 train-auc:0.98411
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[460] eval-auc:0.680948 train-auc:0.984275
[461] eval-auc:0.681364 train-auc:0.984319
[462] eval-auc:0.680894 train-auc:0.984336
[463] eval-auc:0.680583 train-auc:0.98444
[464] eval-auc:0.680603 train-auc:0.984551
[465] eval-auc:0.680323 train-auc:0.984593
[466] eval-auc:0.680295 train-auc:0.984563
[467] eval-auc:0.680647 train-auc:0.984375
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[470] eval-auc:0.680839 train-auc:0.984732
[471] eval-auc:0.680111 train-auc:0.984813
[472] eval-auc:0.680959 train-auc:0.984838
[473] eval-auc:0.681116 train-auc:0.98494
[474] eval-auc:0.680904 train-auc:0.985011
[475] eval-auc:0.680556 train-auc:0.98524
[476] eval-auc:0.680616 train-auc:0.985222
[477] eval-auc:0.681522 train-auc:0.985169
[478] eval-auc:0.681437 train-auc:0.985327
[479] eval-auc:0.68179 train-auc:0.985487
[480] eval-auc:0.681127 train-auc:0.985516
[481] eval-auc:0.681197 train-auc:0.985564
[482] eval-auc:0.68185 train-auc:0.985737
[483] eval-auc:0.682745 train-auc:0.9859
[484] eval-auc:0.68284 train-auc:0.98598
[485] eval-auc:0.683245 train-auc:0.986132
[486] eval-auc:0.683368 train-auc:0.98625
[487] eval-auc:0.682765 train-auc:0.986399
[488] eval-auc:0.68231 train-auc:0.986493
[489] eval-auc:0.682055 train-auc:0.986408
[490] eval-auc:0.682014 train-auc:0.986431
[491] eval-auc:0.681463 train-auc:0.986552
[492] eval-auc:0.680986 train-auc:0.986689
Score 0.6809864902727528
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.75, 'eta': 0.025, 'eval_metric': 'auc', 'gamma': 0.55, 'max_depth': 11, 'min_child_weight': 6.0, 'n_estimators': 479.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.7000000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.611968 train-auc:0.767719
[1] eval-auc:0.62414 train-auc:0.833586
[2] eval-auc:0.622641 train-auc:0.869623
[3] eval-auc:0.639279 train-auc:0.881938
[4] eval-auc:0.663758 train-auc:0.904984
[5] eval-auc:0.661499 train-auc:0.9253
[6] eval-auc:0.666907 train-auc:0.931057
[7] eval-auc:0.665373 train-auc:0.939201
[8] eval-auc:0.672654 train-auc:0.946647
[9] eval-auc:0.677498 train-auc:0.952994
[10] eval-auc:0.677562 train-auc:0.959199
[11] eval-auc:0.675802 train-auc:0.963397
[12] eval-auc:0.679992 train-auc:0.964568
[13] eval-auc:0.681422 train-auc:0.965826
[14] eval-auc:0.681169 train-auc:0.967267
[15] eval-auc:0.674254 train-auc:0.971683
[16] eval-auc:0.672988 train-auc:0.97323
[17] eval-auc:0.677894 train-auc:0.975479
[18] eval-auc:0.673667 train-auc:0.977956
[19] eval-auc:0.679324 train-auc:0.978787
[20] eval-auc:0.679377 train-auc:0.979562
[21] eval-auc:0.678061 train-auc:0.980803
[22] eval-auc:0.678246 train-auc:0.98238
[23] eval-auc:0.682023 train-auc:0.982851
[24] eval-auc:0.686027 train-auc:0.984734
[25] eval-auc:0.684367 train-auc:0.985625
[26] eval-auc:0.685526 train-auc:0.985805
[27] eval-auc:0.687027 train-auc:0.987091
[28] eval-auc:0.687551 train-auc:0.986913
[29] eval-auc:0.686237 train-auc:0.987258
[30] eval-auc:0.68608 train-auc:0.988286
[31] eval-auc:0.685189 train-auc:0.988097
[32] eval-auc:0.685373 train-auc:0.988736
[33] eval-auc:0.686165 train-auc:0.988533
[34] eval-auc:0.685637 train-auc:0.989202
[35] eval-auc:0.686511 train-auc:0.989497
[36] eval-auc:0.687111 train-auc:0.989711
[37] eval-auc:0.688287 train-auc:0.990082
[38] eval-auc:0.688998 train-auc:0.990134
[39] eval-auc:0.688699 train-auc:0.990603
[40] eval-auc:0.689081 train-auc:0.990908
[41] eval-auc:0.688711 train-auc:0.991375
[42] eval-auc:0.687818 train-auc:0.99199
[43] eval-auc:0.688152 train-auc:0.99193
[44] eval-auc:0.690193 train-auc:0.992662
[45] eval-auc:0.690111 train-auc:0.992942
[46] eval-auc:0.691611 train-auc:0.993169
[47] eval-auc:0.692578 train-auc:0.993501
[48] eval-auc:0.693162 train-auc:0.993396
[49] eval-auc:0.693232 train-auc:0.993914
[50] eval-auc:0.692919 train-auc:0.994329
[51] eval-auc:0.691484 train-auc:0.994507
[52] eval-auc:0.69021 train-auc:0.994792
[53] eval-auc:0.690415 train-auc:0.994869
[54] eval-auc:0.69001 train-auc:0.995194
[55] eval-auc:0.689709 train-auc:0.995379
[56] eval-auc:0.688509 train-auc:0.995717
[57] eval-auc:0.687645 train-auc:0.995979
[58] eval-auc:0.688861 train-auc:0.996114
[59] eval-auc:0.690316 train-auc:0.996316
[60] eval-auc:0.690138 train-auc:0.996358
[61] eval-auc:0.690472 train-auc:0.996355
[62] eval-auc:0.690925 train-auc:0.996367
[63] eval-auc:0.691839 train-auc:0.996646
[64] eval-auc:0.690935 train-auc:0.996715
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[66] eval-auc:0.691929 train-auc:0.997117
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[70] eval-auc:0.691231 train-auc:0.997375
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[79] eval-auc:0.689224 train-auc:0.997759
[80] eval-auc:0.690083 train-auc:0.997772
[81] eval-auc:0.690199 train-auc:0.997846
[82] eval-auc:0.689678 train-auc:0.997909
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[85] eval-auc:0.689823 train-auc:0.998149
[86] eval-auc:0.690402 train-auc:0.998163
[87] eval-auc:0.691224 train-auc:0.998313
[88] eval-auc:0.692031 train-auc:0.998382
[89] eval-auc:0.692634 train-auc:0.998353
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[109] eval-auc:0.693919 train-auc:0.999005
[110] eval-auc:0.694361 train-auc:0.999019
[111] eval-auc:0.694437 train-auc:0.999078
[112] eval-auc:0.694257 train-auc:0.9991
[113] eval-auc:0.694875 train-auc:0.99911
[114] eval-auc:0.695302 train-auc:0.999126
[115] eval-auc:0.694583 train-auc:0.999149
[116] eval-auc:0.694417 train-auc:0.999177
[117] eval-auc:0.6947 train-auc:0.999209
[118] eval-auc:0.694979 train-auc:0.999224
[119] eval-auc:0.694875 train-auc:0.999282
[120] eval-auc:0.694693 train-auc:0.999286
[121] eval-auc:0.694633 train-auc:0.999327
[122] eval-auc:0.694472 train-auc:0.999333
[123] eval-auc:0.693986 train-auc:0.999357
[124] eval-auc:0.694073 train-auc:0.999373
[125] eval-auc:0.693758 train-auc:0.99938
[126] eval-auc:0.693819 train-auc:0.999391
[127] eval-auc:0.69387 train-auc:0.999383
[128] eval-auc:0.69419 train-auc:0.9994
[129] eval-auc:0.694563 train-auc:0.999432
[130] eval-auc:0.694297 train-auc:0.999467
[131] eval-auc:0.694012 train-auc:0.99948
[132] eval-auc:0.694373 train-auc:0.999529
[133] eval-auc:0.694178 train-auc:0.999521
[134] eval-auc:0.694082 train-auc:0.999519
[135] eval-auc:0.693924 train-auc:0.99954
[136] eval-auc:0.693823 train-auc:0.99956
[137] eval-auc:0.694199 train-auc:0.999582
[138] eval-auc:0.693697 train-auc:0.999583
[139] eval-auc:0.693736 train-auc:0.999597
[140] eval-auc:0.693551 train-auc:0.999615
[141] eval-auc:0.693312 train-auc:0.999625
[142] eval-auc:0.693013 train-auc:0.999634
[143] eval-auc:0.692928 train-auc:0.99965
[144] eval-auc:0.692893 train-auc:0.999683
[145] eval-auc:0.693051 train-auc:0.999676
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[148] eval-auc:0.693167 train-auc:0.999689
[149] eval-auc:0.693013 train-auc:0.999688
[150] eval-auc:0.692862 train-auc:0.999686
[151] eval-auc:0.692431 train-auc:0.999713
[152] eval-auc:0.692448 train-auc:0.99971
[153] eval-auc:0.69223 train-auc:0.999717
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[155] eval-auc:0.692964 train-auc:0.99973
[156] eval-auc:0.692762 train-auc:0.999742
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[158] eval-auc:0.692224 train-auc:0.999757
[159] eval-auc:0.692846 train-auc:0.99977
[160] eval-auc:0.692836 train-auc:0.999773
[161] eval-auc:0.693138 train-auc:0.999789
[162] eval-auc:0.692937 train-auc:0.999792
[163] eval-auc:0.692462 train-auc:0.999799
[164] eval-auc:0.692313 train-auc:0.999794
[165] eval-auc:0.692264 train-auc:0.999795
[166] eval-auc:0.692177 train-auc:0.999803
[167] eval-auc:0.692045 train-auc:0.999805
[168] eval-auc:0.692002 train-auc:0.999815
[169] eval-auc:0.692175 train-auc:0.999815
[170] eval-auc:0.692465 train-auc:0.999815
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[177] eval-auc:0.693094 train-auc:0.999833
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[179] eval-auc:0.692903 train-auc:0.999833
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[183] eval-auc:0.693184 train-auc:0.999844
[184] eval-auc:0.692941 train-auc:0.999842
[185] eval-auc:0.692763 train-auc:0.999848
[186] eval-auc:0.693015 train-auc:0.999854
[187] eval-auc:0.692785 train-auc:0.999858
[188] eval-auc:0.692902 train-auc:0.999868
[189] eval-auc:0.693019 train-auc:0.999867
[190] eval-auc:0.693395 train-auc:0.999869
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[363] eval-auc:0.693957 train-auc:0.999998
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[365] eval-auc:0.693745 train-auc:0.999998
[366] eval-auc:0.69395 train-auc:0.999998
[367] eval-auc:0.693876 train-auc:0.999998
[368] eval-auc:0.693963 train-auc:0.999998
[369] eval-auc:0.693971 train-auc:0.999998
[370] eval-auc:0.693745 train-auc:0.999998
[371] eval-auc:0.693694 train-auc:0.999998
[372] eval-auc:0.693423 train-auc:0.999998
[373] eval-auc:0.693569 train-auc:0.999998
[374] eval-auc:0.693461 train-auc:0.999998
[375] eval-auc:0.693424 train-auc:0.999998
[376] eval-auc:0.693602 train-auc:0.999998
[377] eval-auc:0.693407 train-auc:0.999998
[378] eval-auc:0.693266 train-auc:0.999998
[379] eval-auc:0.693047 train-auc:0.999998
[380] eval-auc:0.693356 train-auc:0.999998
[381] eval-auc:0.693121 train-auc:0.999998
[382] eval-auc:0.692894 train-auc:0.999998
[383] eval-auc:0.69296 train-auc:0.999998
[384] eval-auc:0.693147 train-auc:0.999998
[385] eval-auc:0.693107 train-auc:0.999998
[386] eval-auc:0.692949 train-auc:0.999998
[387] eval-auc:0.693284 train-auc:0.999998
[388] eval-auc:0.693171 train-auc:0.999998
[389] eval-auc:0.693261 train-auc:0.999998
[390] eval-auc:0.693427 train-auc:0.999998
[391] eval-auc:0.693386 train-auc:0.999998
[392] eval-auc:0.693485 train-auc:0.999998
[393] eval-auc:0.693427 train-auc:0.999998
[394] eval-auc:0.693607 train-auc:0.999999
[395] eval-auc:0.69373 train-auc:0.999999
[396] eval-auc:0.693723 train-auc:0.999999
[397] eval-auc:0.693796 train-auc:0.999999
[398] eval-auc:0.69387 train-auc:0.999999
[399] eval-auc:0.693733 train-auc:0.999999
[400] eval-auc:0.693643 train-auc:0.999999
[401] eval-auc:0.693942 train-auc:0.999999
[402] eval-auc:0.693937 train-auc:0.999999
[403] eval-auc:0.693995 train-auc:0.999999
[404] eval-auc:0.693982 train-auc:0.999999
[405] eval-auc:0.693946 train-auc:0.999999
[406] eval-auc:0.694062 train-auc:0.999999
[407] eval-auc:0.694042 train-auc:0.999999
[408] eval-auc:0.693711 train-auc:0.999999
[409] eval-auc:0.693666 train-auc:0.999999
[410] eval-auc:0.693668 train-auc:0.999999
[411] eval-auc:0.693774 train-auc:0.999999
[412] eval-auc:0.693858 train-auc:0.999999
[413] eval-auc:0.693921 train-auc:0.999999
[414] eval-auc:0.694001 train-auc:0.999999
[415] eval-auc:0.694059 train-auc:0.999999
[416] eval-auc:0.694023 train-auc:0.999999
[417] eval-auc:0.694 train-auc:0.999999
[418] eval-auc:0.693988 train-auc:0.999999
[419] eval-auc:0.693876 train-auc:0.999999
[420] eval-auc:0.693707 train-auc:0.999999
[421] eval-auc:0.693733 train-auc:0.999999
[422] eval-auc:0.693778 train-auc:0.999999
[423] eval-auc:0.694074 train-auc:0.999999
[424] eval-auc:0.69389 train-auc:0.999999
[425] eval-auc:0.693972 train-auc:0.999999
[426] eval-auc:0.694178 train-auc:0.999999
[427] eval-auc:0.694015 train-auc:0.999999
[428] eval-auc:0.694271 train-auc:0.999999
[429] eval-auc:0.694248 train-auc:0.999999
[430] eval-auc:0.693959 train-auc:0.999999
[431] eval-auc:0.69401 train-auc:0.999999
[432] eval-auc:0.693849 train-auc:0.999999
[433] eval-auc:0.693945 train-auc:0.999999
[434] eval-auc:0.694193 train-auc:0.999999
[435] eval-auc:0.694108 train-auc:0.999999
[436] eval-auc:0.69426 train-auc:0.999999
[437] eval-auc:0.694201 train-auc:0.999999
[438] eval-auc:0.694065 train-auc:0.999999
[439] eval-auc:0.693946 train-auc:0.999999
[440] eval-auc:0.693802 train-auc:0.999999
[441] eval-auc:0.693881 train-auc:0.999999
[442] eval-auc:0.694017 train-auc:0.999999
[443] eval-auc:0.694096 train-auc:0.999999
[444] eval-auc:0.693972 train-auc:0.999999
[445] eval-auc:0.69373 train-auc:0.999999
[446] eval-auc:0.693721 train-auc:1
[447] eval-auc:0.69373 train-auc:1
[448] eval-auc:0.69382 train-auc:1
[449] eval-auc:0.69372 train-auc:1
[450] eval-auc:0.693817 train-auc:1
[451] eval-auc:0.693529 train-auc:1
[452] eval-auc:0.693558 train-auc:1
[453] eval-auc:0.69366 train-auc:0.999999
[454] eval-auc:0.694117 train-auc:0.999999
[455] eval-auc:0.694172 train-auc:0.999999
[456] eval-auc:0.694065 train-auc:1
[457] eval-auc:0.69428 train-auc:1
[458] eval-auc:0.694295 train-auc:1
[459] eval-auc:0.694388 train-auc:1
[460] eval-auc:0.694537 train-auc:1
[461] eval-auc:0.694685 train-auc:1
[462] eval-auc:0.694548 train-auc:1
[463] eval-auc:0.694432 train-auc:1
[464] eval-auc:0.694435 train-auc:1
[465] eval-auc:0.694353 train-auc:1
[466] eval-auc:0.694604 train-auc:1
[467] eval-auc:0.694548 train-auc:1
[468] eval-auc:0.694694 train-auc:1
[469] eval-auc:0.694664 train-auc:1
[470] eval-auc:0.694623 train-auc:1
[471] eval-auc:0.694484 train-auc:1
[472] eval-auc:0.694426 train-auc:1
[473] eval-auc:0.694696 train-auc:1
[474] eval-auc:0.694769 train-auc:1
[475] eval-auc:0.695 train-auc:1
[476] eval-auc:0.695012 train-auc:1
[477] eval-auc:0.694977 train-auc:1
[478] eval-auc:0.695198 train-auc:1
Score 0.6951981995151604
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9500000000000001, 'eta': 0.05, 'eval_metric': 'auc', 'gamma': 0.7000000000000001, 'max_depth': 3, 'min_child_weight': 4.0, 'n_estimators': 937.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9, 'tree_method': 'exact'}
[0] eval-auc:0.704885 train-auc:0.720981
[1] eval-auc:0.691741 train-auc:0.726453
[2] eval-auc:0.705838 train-auc:0.728099
[3] eval-auc:0.700606 train-auc:0.731628
[4] eval-auc:0.701177 train-auc:0.733641
[5] eval-auc:0.69373 train-auc:0.737121
[6] eval-auc:0.694164 train-auc:0.737072
[7] eval-auc:0.69466 train-auc:0.738043
[8] eval-auc:0.697353 train-auc:0.740615
[9] eval-auc:0.702837 train-auc:0.739928
[10] eval-auc:0.703378 train-auc:0.741521
[11] eval-auc:0.703588 train-auc:0.742078
[12] eval-auc:0.702104 train-auc:0.745211
[13] eval-auc:0.702465 train-auc:0.744481
[14] eval-auc:0.70188 train-auc:0.743865
[15] eval-auc:0.701715 train-auc:0.743978
[16] eval-auc:0.702245 train-auc:0.746024
[17] eval-auc:0.701661 train-auc:0.748751
[18] eval-auc:0.702268 train-auc:0.749714
[19] eval-auc:0.701582 train-auc:0.749942
[20] eval-auc:0.702596 train-auc:0.749186
[21] eval-auc:0.701945 train-auc:0.751047
[22] eval-auc:0.702051 train-auc:0.751294
[23] eval-auc:0.702607 train-auc:0.752836
[24] eval-auc:0.704032 train-auc:0.754882
[25] eval-auc:0.703833 train-auc:0.756228
[26] eval-auc:0.702735 train-auc:0.757001
[27] eval-auc:0.703187 train-auc:0.758582
[28] eval-auc:0.702638 train-auc:0.75772
[29] eval-auc:0.702857 train-auc:0.75819
[30] eval-auc:0.702635 train-auc:0.759756
[31] eval-auc:0.701711 train-auc:0.761424
[32] eval-auc:0.702973 train-auc:0.762832
[33] eval-auc:0.70261 train-auc:0.763447
[34] eval-auc:0.703239 train-auc:0.765251
[35] eval-auc:0.703569 train-auc:0.765486
[36] eval-auc:0.703221 train-auc:0.767901
[37] eval-auc:0.702801 train-auc:0.76765
[38] eval-auc:0.704413 train-auc:0.76948
[39] eval-auc:0.705385 train-auc:0.771362
[40] eval-auc:0.704945 train-auc:0.773041
[41] eval-auc:0.704871 train-auc:0.773249
[42] eval-auc:0.704791 train-auc:0.773866
[43] eval-auc:0.705987 train-auc:0.775204
[44] eval-auc:0.706824 train-auc:0.775572
[45] eval-auc:0.706632 train-auc:0.776296
[46] eval-auc:0.7075 train-auc:0.776663
[47] eval-auc:0.707327 train-auc:0.778476
[48] eval-auc:0.707581 train-auc:0.778992
[49] eval-auc:0.706801 train-auc:0.780025
[50] eval-auc:0.706553 train-auc:0.780396
[51] eval-auc:0.705041 train-auc:0.781665
[52] eval-auc:0.70556 train-auc:0.78254
[53] eval-auc:0.705249 train-auc:0.78348
[54] eval-auc:0.705417 train-auc:0.784112
[55] eval-auc:0.705501 train-auc:0.786436
[56] eval-auc:0.705474 train-auc:0.786822
[57] eval-auc:0.70538 train-auc:0.787954
[58] eval-auc:0.704573 train-auc:0.78914
[59] eval-auc:0.70515 train-auc:0.790097
[60] eval-auc:0.706025 train-auc:0.790204
[61] eval-auc:0.706377 train-auc:0.790532
[62] eval-auc:0.706727 train-auc:0.79071
[63] eval-auc:0.707093 train-auc:0.791443
[64] eval-auc:0.707002 train-auc:0.791761
[65] eval-auc:0.707161 train-auc:0.791664
[66] eval-auc:0.7075 train-auc:0.794171
[67] eval-auc:0.707506 train-auc:0.793761
[68] eval-auc:0.707593 train-auc:0.796007
[69] eval-auc:0.707606 train-auc:0.797231
[70] eval-auc:0.707487 train-auc:0.79876
[71] eval-auc:0.707634 train-auc:0.798469
[72] eval-auc:0.70822 train-auc:0.79935
[73] eval-auc:0.708039 train-auc:0.798717
[74] eval-auc:0.708001 train-auc:0.798637
[75] eval-auc:0.708115 train-auc:0.799323
[76] eval-auc:0.708389 train-auc:0.799594
[77] eval-auc:0.707302 train-auc:0.800696
[78] eval-auc:0.707704 train-auc:0.802798
[79] eval-auc:0.706868 train-auc:0.8037
[80] eval-auc:0.706986 train-auc:0.804418
[81] eval-auc:0.707104 train-auc:0.804575
[82] eval-auc:0.707053 train-auc:0.805958
[83] eval-auc:0.70709 train-auc:0.805211
[84] eval-auc:0.707561 train-auc:0.806557
[85] eval-auc:0.707451 train-auc:0.806751
[86] eval-auc:0.707364 train-auc:0.807395
[87] eval-auc:0.707416 train-auc:0.807604
[88] eval-auc:0.707611 train-auc:0.808544
[89] eval-auc:0.707168 train-auc:0.808866
[90] eval-auc:0.706993 train-auc:0.808833
[91] eval-auc:0.706882 train-auc:0.808763
[92] eval-auc:0.708037 train-auc:0.810056
[93] eval-auc:0.707863 train-auc:0.810674
[94] eval-auc:0.708419 train-auc:0.811924
[95] eval-auc:0.708455 train-auc:0.812131
[96] eval-auc:0.708802 train-auc:0.813606
[97] eval-auc:0.70892 train-auc:0.814407
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[100] eval-auc:0.708783 train-auc:0.816291
[101] eval-auc:0.708759 train-auc:0.817145
[102] eval-auc:0.708514 train-auc:0.817553
[103] eval-auc:0.708165 train-auc:0.818237
[104] eval-auc:0.707953 train-auc:0.819389
[105] eval-auc:0.707644 train-auc:0.820141
[106] eval-auc:0.70764 train-auc:0.82089
[107] eval-auc:0.707918 train-auc:0.821905
[108] eval-auc:0.707427 train-auc:0.823621
[109] eval-auc:0.707384 train-auc:0.824187
[110] eval-auc:0.707503 train-auc:0.824429
[111] eval-auc:0.707772 train-auc:0.825295
[112] eval-auc:0.707906 train-auc:0.826632
[113] eval-auc:0.707749 train-auc:0.826808
[114] eval-auc:0.707274 train-auc:0.828027
[115] eval-auc:0.707548 train-auc:0.829078
[116] eval-auc:0.707399 train-auc:0.829525
[117] eval-auc:0.707491 train-auc:0.830427
[118] eval-auc:0.707599 train-auc:0.830772
[119] eval-auc:0.707538 train-auc:0.831879
[120] eval-auc:0.707956 train-auc:0.83268
[121] eval-auc:0.707973 train-auc:0.833781
[122] eval-auc:0.707746 train-auc:0.834561
[123] eval-auc:0.708369 train-auc:0.835466
[124] eval-auc:0.708067 train-auc:0.836207
[125] eval-auc:0.708502 train-auc:0.837008
[126] eval-auc:0.708839 train-auc:0.837884
[127] eval-auc:0.708652 train-auc:0.838609
[128] eval-auc:0.709481 train-auc:0.840218
[129] eval-auc:0.709753 train-auc:0.840411
[130] eval-auc:0.710094 train-auc:0.841389
[131] eval-auc:0.710727 train-auc:0.841853
[132] eval-auc:0.710759 train-auc:0.842333
[133] eval-auc:0.710992 train-auc:0.842847
[134] eval-auc:0.710937 train-auc:0.842802
[135] eval-auc:0.710815 train-auc:0.843315
[136] eval-auc:0.711109 train-auc:0.844103
[137] eval-auc:0.711572 train-auc:0.845145
[138] eval-auc:0.711239 train-auc:0.845381
[139] eval-auc:0.711062 train-auc:0.845783
[140] eval-auc:0.710997 train-auc:0.846468
[141] eval-auc:0.710974 train-auc:0.846689
[142] eval-auc:0.710928 train-auc:0.847376
[143] eval-auc:0.710721 train-auc:0.84746
[144] eval-auc:0.710507 train-auc:0.848133
[145] eval-auc:0.710598 train-auc:0.848838
[146] eval-auc:0.70989 train-auc:0.849541
[147] eval-auc:0.710179 train-auc:0.849819
[148] eval-auc:0.71017 train-auc:0.849956
[149] eval-auc:0.710113 train-auc:0.850135
[150] eval-auc:0.709874 train-auc:0.850459
[151] eval-auc:0.709836 train-auc:0.851571
[152] eval-auc:0.710077 train-auc:0.851529
[153] eval-auc:0.709944 train-auc:0.851727
[154] eval-auc:0.710341 train-auc:0.852177
[155] eval-auc:0.710646 train-auc:0.853671
[156] eval-auc:0.710863 train-auc:0.854274
[157] eval-auc:0.710723 train-auc:0.854486
[158] eval-auc:0.711086 train-auc:0.855032
[159] eval-auc:0.711083 train-auc:0.855756
[160] eval-auc:0.711047 train-auc:0.856329
[161] eval-auc:0.711259 train-auc:0.85706
[162] eval-auc:0.711268 train-auc:0.857396
[163] eval-auc:0.710453 train-auc:0.857995
[164] eval-auc:0.710522 train-auc:0.858923
[165] eval-auc:0.710825 train-auc:0.859283
[166] eval-auc:0.710913 train-auc:0.859389
[167] eval-auc:0.710512 train-auc:0.859818
[168] eval-auc:0.710308 train-auc:0.860051
[169] eval-auc:0.710141 train-auc:0.860293
[170] eval-auc:0.710212 train-auc:0.86073
[171] eval-auc:0.710794 train-auc:0.86144
[172] eval-auc:0.710741 train-auc:0.861789
[173] eval-auc:0.710444 train-auc:0.862004
[174] eval-auc:0.710745 train-auc:0.862559
[175] eval-auc:0.710739 train-auc:0.862801
[176] eval-auc:0.710902 train-auc:0.863668
[177] eval-auc:0.711158 train-auc:0.864349
[178] eval-auc:0.711042 train-auc:0.864244
[179] eval-auc:0.711045 train-auc:0.864263
[180] eval-auc:0.711309 train-auc:0.864648
[181] eval-auc:0.711199 train-auc:0.865031
[182] eval-auc:0.711115 train-auc:0.865331
[183] eval-auc:0.710672 train-auc:0.866043
[184] eval-auc:0.711129 train-auc:0.86653
[185] eval-auc:0.71117 train-auc:0.867126
[186] eval-auc:0.711272 train-auc:0.867309
[187] eval-auc:0.710619 train-auc:0.868126
[188] eval-auc:0.71048 train-auc:0.868366
[189] eval-auc:0.709957 train-auc:0.868749
[190] eval-auc:0.709844 train-auc:0.869808
[191] eval-auc:0.710097 train-auc:0.870122
[192] eval-auc:0.710069 train-auc:0.870281
[193] eval-auc:0.710322 train-auc:0.869997
[194] eval-auc:0.709995 train-auc:0.870598
[195] eval-auc:0.710713 train-auc:0.871522
[196] eval-auc:0.710244 train-auc:0.871435
[197] eval-auc:0.710126 train-auc:0.871461
[198] eval-auc:0.709998 train-auc:0.871905
[199] eval-auc:0.70957 train-auc:0.872184
[200] eval-auc:0.709839 train-auc:0.872523
[201] eval-auc:0.709718 train-auc:0.872794
[202] eval-auc:0.709746 train-auc:0.873441
[203] eval-auc:0.710097 train-auc:0.873881
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[205] eval-auc:0.709625 train-auc:0.87397
[206] eval-auc:0.709204 train-auc:0.874549
[207] eval-auc:0.708764 train-auc:0.875104
[208] eval-auc:0.709207 train-auc:0.876044
[209] eval-auc:0.70952 train-auc:0.876161
[210] eval-auc:0.709075 train-auc:0.876115
[211] eval-auc:0.709329 train-auc:0.876245
[212] eval-auc:0.709344 train-auc:0.876573
[213] eval-auc:0.709315 train-auc:0.876977
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[215] eval-auc:0.709923 train-auc:0.878015
[216] eval-auc:0.710374 train-auc:0.878304
[217] eval-auc:0.710401 train-auc:0.878879
[218] eval-auc:0.710461 train-auc:0.879257
[219] eval-auc:0.710336 train-auc:0.879549
[220] eval-auc:0.7104 train-auc:0.880294
[221] eval-auc:0.710432 train-auc:0.880876
[222] eval-auc:0.710269 train-auc:0.880803
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[224] eval-auc:0.710177 train-auc:0.881256
[225] eval-auc:0.7101 train-auc:0.881137
[226] eval-auc:0.709865 train-auc:0.881421
[227] eval-auc:0.709666 train-auc:0.881532
[228] eval-auc:0.709533 train-auc:0.881379
[229] eval-auc:0.709347 train-auc:0.881512
[230] eval-auc:0.709355 train-auc:0.881724
[231] eval-auc:0.709475 train-auc:0.881754
[232] eval-auc:0.709841 train-auc:0.881983
[233] eval-auc:0.709877 train-auc:0.882178
[234] eval-auc:0.709768 train-auc:0.883061
[235] eval-auc:0.709031 train-auc:0.883355
[236] eval-auc:0.709375 train-auc:0.883563
[237] eval-auc:0.709737 train-auc:0.884135
[238] eval-auc:0.709859 train-auc:0.884452
[239] eval-auc:0.709666 train-auc:0.884816
[240] eval-auc:0.709357 train-auc:0.885407
[241] eval-auc:0.70895 train-auc:0.886016
[242] eval-auc:0.70881 train-auc:0.886597
[243] eval-auc:0.708769 train-auc:0.886908
[244] eval-auc:0.708387 train-auc:0.887374
[245] eval-auc:0.708419 train-auc:0.887382
[246] eval-auc:0.708709 train-auc:0.887667
[247] eval-auc:0.708883 train-auc:0.888049
[248] eval-auc:0.70883 train-auc:0.888018
[249] eval-auc:0.708871 train-auc:0.888198
[250] eval-auc:0.70893 train-auc:0.88875
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[706] eval-auc:0.706492 train-auc:0.959264
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[745] eval-auc:0.705262 train-auc:0.962203
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[747] eval-auc:0.705338 train-auc:0.9624
[748] eval-auc:0.705195 train-auc:0.962537
[749] eval-auc:0.705166 train-auc:0.962526
[750] eval-auc:0.70489 train-auc:0.96258
[751] eval-auc:0.704793 train-auc:0.96261
[752] eval-auc:0.704732 train-auc:0.962676
[753] eval-auc:0.704565 train-auc:0.962757
[754] eval-auc:0.704476 train-auc:0.962784
[755] eval-auc:0.704481 train-auc:0.962864
[756] eval-auc:0.704382 train-auc:0.962883
[757] eval-auc:0.70424 train-auc:0.962977
[758] eval-auc:0.703931 train-auc:0.963002
[759] eval-auc:0.70403 train-auc:0.963092
[760] eval-auc:0.704217 train-auc:0.963176
[761] eval-auc:0.704287 train-auc:0.963276
[762] eval-auc:0.704347 train-auc:0.963262
[763] eval-auc:0.704071 train-auc:0.963294
[764] eval-auc:0.704242 train-auc:0.963401
[765] eval-auc:0.704192 train-auc:0.963591
[766] eval-auc:0.704254 train-auc:0.963616
[767] eval-auc:0.70422 train-auc:0.963681
[768] eval-auc:0.704153 train-auc:0.963743
[769] eval-auc:0.704265 train-auc:0.963812
[770] eval-auc:0.704159 train-auc:0.963817
[771] eval-auc:0.704137 train-auc:0.963851
[772] eval-auc:0.704096 train-auc:0.963857
[773] eval-auc:0.704246 train-auc:0.963955
[774] eval-auc:0.704225 train-auc:0.963983
[775] eval-auc:0.704246 train-auc:0.964017
[776] eval-auc:0.704033 train-auc:0.964064
[777] eval-auc:0.703943 train-auc:0.964104
[778] eval-auc:0.703987 train-auc:0.96423
[779] eval-auc:0.704188 train-auc:0.964308
[780] eval-auc:0.704199 train-auc:0.964391
[781] eval-auc:0.704228 train-auc:0.964418
[782] eval-auc:0.704184 train-auc:0.964412
[783] eval-auc:0.703916 train-auc:0.964562
[784] eval-auc:0.704083 train-auc:0.964508
[785] eval-auc:0.70382 train-auc:0.964716
[786] eval-auc:0.70394 train-auc:0.964774
[787] eval-auc:0.70398 train-auc:0.964775
[788] eval-auc:0.703972 train-auc:0.964801
[789] eval-auc:0.703908 train-auc:0.96481
[790] eval-auc:0.703844 train-auc:0.964865
[791] eval-auc:0.703948 train-auc:0.964917
[792] eval-auc:0.703925 train-auc:0.965026
[793] eval-auc:0.704022 train-auc:0.965032
[794] eval-auc:0.703925 train-auc:0.964999
[795] eval-auc:0.703943 train-auc:0.964993
[796] eval-auc:0.703809 train-auc:0.965097
[797] eval-auc:0.7037 train-auc:0.965147
[798] eval-auc:0.703864 train-auc:0.965275
[799] eval-auc:0.703885 train-auc:0.965316
[800] eval-auc:0.703896 train-auc:0.965301
[801] eval-auc:0.70403 train-auc:0.965319
[802] eval-auc:0.703922 train-auc:0.965377
[803] eval-auc:0.704187 train-auc:0.965487
[804] eval-auc:0.704182 train-auc:0.965519
[805] eval-auc:0.704187 train-auc:0.965677
[806] eval-auc:0.704293 train-auc:0.965745
[807] eval-auc:0.704429 train-auc:0.965855
[808] eval-auc:0.704517 train-auc:0.965904
[809] eval-auc:0.704583 train-auc:0.966007
[810] eval-auc:0.704543 train-auc:0.96615
[811] eval-auc:0.704459 train-auc:0.966162
[812] eval-auc:0.704449 train-auc:0.96614
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[818] eval-auc:0.703576 train-auc:0.966528
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[826] eval-auc:0.703834 train-auc:0.966718
[827] eval-auc:0.703811 train-auc:0.966858
[828] eval-auc:0.703884 train-auc:0.966816
[829] eval-auc:0.70389 train-auc:0.966842
[830] eval-auc:0.703867 train-auc:0.966906
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[835] eval-auc:0.704452 train-auc:0.967198
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[837] eval-auc:0.704459 train-auc:0.967265
[838] eval-auc:0.704549 train-auc:0.967284
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[840] eval-auc:0.704536 train-auc:0.967292
[841] eval-auc:0.704563 train-auc:0.967279
[842] eval-auc:0.704727 train-auc:0.967447
[843] eval-auc:0.704577 train-auc:0.967474
[844] eval-auc:0.704379 train-auc:0.96759
[845] eval-auc:0.704316 train-auc:0.967589
[846] eval-auc:0.704303 train-auc:0.967614
[847] eval-auc:0.704121 train-auc:0.967681
[848] eval-auc:0.704064 train-auc:0.967779
[849] eval-auc:0.703758 train-auc:0.967928
[850] eval-auc:0.703821 train-auc:0.967952
[851] eval-auc:0.703719 train-auc:0.967966
[852] eval-auc:0.703911 train-auc:0.968092
[853] eval-auc:0.704 train-auc:0.968189
[854] eval-auc:0.704085 train-auc:0.968191
[855] eval-auc:0.703984 train-auc:0.968182
[856] eval-auc:0.704173 train-auc:0.968251
[857] eval-auc:0.704225 train-auc:0.968306
[858] eval-auc:0.704097 train-auc:0.968333
[859] eval-auc:0.703837 train-auc:0.968419
[860] eval-auc:0.703867 train-auc:0.968398
[861] eval-auc:0.704015 train-auc:0.968369
[862] eval-auc:0.703882 train-auc:0.968502
[863] eval-auc:0.703914 train-auc:0.968539
[864] eval-auc:0.70396 train-auc:0.968623
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[867] eval-auc:0.703669 train-auc:0.968885
[868] eval-auc:0.703523 train-auc:0.96898
[869] eval-auc:0.703537 train-auc:0.969041
[870] eval-auc:0.7035 train-auc:0.969039
[871] eval-auc:0.703587 train-auc:0.969113
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[874] eval-auc:0.703549 train-auc:0.969352
[875] eval-auc:0.703454 train-auc:0.969444
[876] eval-auc:0.703803 train-auc:0.969559
[877] eval-auc:0.703748 train-auc:0.969532
[878] eval-auc:0.703881 train-auc:0.969511
[879] eval-auc:0.704012 train-auc:0.969529
[880] eval-auc:0.703977 train-auc:0.969653
[881] eval-auc:0.704079 train-auc:0.96966
[882] eval-auc:0.703965 train-auc:0.969709
[883] eval-auc:0.703983 train-auc:0.969739
[884] eval-auc:0.703969 train-auc:0.969807
[885] eval-auc:0.704061 train-auc:0.969959
[886] eval-auc:0.704195 train-auc:0.97013
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[888] eval-auc:0.704412 train-auc:0.970214
[889] eval-auc:0.704581 train-auc:0.97024
[890] eval-auc:0.704629 train-auc:0.970285
[891] eval-auc:0.704767 train-auc:0.970218
[892] eval-auc:0.704802 train-auc:0.970304
[893] eval-auc:0.704866 train-auc:0.970303
[894] eval-auc:0.704863 train-auc:0.970342
[895] eval-auc:0.704802 train-auc:0.970385
[896] eval-auc:0.704717 train-auc:0.970436
[897] eval-auc:0.704846 train-auc:0.970497
[898] eval-auc:0.70489 train-auc:0.970573
[899] eval-auc:0.705034 train-auc:0.970617
[900] eval-auc:0.704964 train-auc:0.970653
[901] eval-auc:0.704962 train-auc:0.97071
[902] eval-auc:0.705064 train-auc:0.970682
[903] eval-auc:0.704685 train-auc:0.97074
[904] eval-auc:0.704651 train-auc:0.970726
[905] eval-auc:0.704645 train-auc:0.970779
[906] eval-auc:0.704484 train-auc:0.970741
[907] eval-auc:0.704729 train-auc:0.970826
[908] eval-auc:0.704749 train-auc:0.970856
[909] eval-auc:0.704487 train-auc:0.970887
[910] eval-auc:0.704426 train-auc:0.970916
[911] eval-auc:0.70436 train-auc:0.970908
[912] eval-auc:0.704431 train-auc:0.97103
[913] eval-auc:0.70429 train-auc:0.971125
[914] eval-auc:0.704061 train-auc:0.97119
[915] eval-auc:0.704239 train-auc:0.971267
[916] eval-auc:0.704158 train-auc:0.971273
[917] eval-auc:0.704068 train-auc:0.971295
[918] eval-auc:0.704004 train-auc:0.971327
[919] eval-auc:0.704004 train-auc:0.971354
[920] eval-auc:0.703812 train-auc:0.971381
[921] eval-auc:0.703633 train-auc:0.971423
[922] eval-auc:0.703686 train-auc:0.97149
[923] eval-auc:0.703651 train-auc:0.971604
[924] eval-auc:0.703607 train-auc:0.971612
[925] eval-auc:0.703334 train-auc:0.971639
[926] eval-auc:0.703273 train-auc:0.971602
[927] eval-auc:0.703194 train-auc:0.97169
[928] eval-auc:0.70315 train-auc:0.97169
[929] eval-auc:0.703258 train-auc:0.971757
[930] eval-auc:0.702982 train-auc:0.97177
[931] eval-auc:0.703101 train-auc:0.971839
[932] eval-auc:0.70338 train-auc:0.971875
[933] eval-auc:0.703197 train-auc:0.971927
[934] eval-auc:0.703191 train-auc:0.971979
[935] eval-auc:0.703506 train-auc:0.97202
[936] eval-auc:0.70347 train-auc:0.972078
Score 0.7034697097053199
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9, 'eta': 0.325, 'eval_metric': 'auc', 'gamma': 0.8, 'max_depth': 8, 'min_child_weight': 3.0, 'n_estimators': 234.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.65, 'tree_method': 'exact'}
[0] eval-auc:0.688832 train-auc:0.781294
[1] eval-auc:0.669992 train-auc:0.806414
[2] eval-auc:0.682148 train-auc:0.853843
[3] eval-auc:0.684229 train-auc:0.869277
[4] eval-auc:0.701112 train-auc:0.885785
[5] eval-auc:0.689867 train-auc:0.911394
[6] eval-auc:0.682454 train-auc:0.919785
[7] eval-auc:0.688094 train-auc:0.9315
[8] eval-auc:0.689169 train-auc:0.938935
[9] eval-auc:0.684823 train-auc:0.942634
[10] eval-auc:0.684461 train-auc:0.951531
[11] eval-auc:0.683138 train-auc:0.957513
[12] eval-auc:0.679365 train-auc:0.960941
[13] eval-auc:0.682646 train-auc:0.965834
[14] eval-auc:0.682357 train-auc:0.970888
[15] eval-auc:0.677132 train-auc:0.975042
[16] eval-auc:0.676312 train-auc:0.978093
[17] eval-auc:0.687158 train-auc:0.981214
[18] eval-auc:0.686133 train-auc:0.982613
[19] eval-auc:0.686578 train-auc:0.985141
[20] eval-auc:0.687108 train-auc:0.987035
[21] eval-auc:0.686753 train-auc:0.988205
[22] eval-auc:0.683744 train-auc:0.989434
[23] eval-auc:0.681299 train-auc:0.991154
[24] eval-auc:0.684248 train-auc:0.992371
[25] eval-auc:0.681963 train-auc:0.993001
[26] eval-auc:0.680947 train-auc:0.993639
[27] eval-auc:0.680641 train-auc:0.994384
[28] eval-auc:0.681701 train-auc:0.995022
[29] eval-auc:0.679273 train-auc:0.995275
[30] eval-auc:0.678366 train-auc:0.995853
[31] eval-auc:0.680552 train-auc:0.996461
[32] eval-auc:0.681701 train-auc:0.996897
[33] eval-auc:0.679963 train-auc:0.997343
[34] eval-auc:0.678098 train-auc:0.997584
[35] eval-auc:0.676109 train-auc:0.998144
[36] eval-auc:0.675167 train-auc:0.998721
[37] eval-auc:0.673437 train-auc:0.998797
[38] eval-auc:0.672755 train-auc:0.998798
[39] eval-auc:0.66876 train-auc:0.998984
[40] eval-auc:0.669472 train-auc:0.999245
[41] eval-auc:0.668235 train-auc:0.999372
[42] eval-auc:0.668103 train-auc:0.999434
[43] eval-auc:0.67174 train-auc:0.999483
[44] eval-auc:0.672752 train-auc:0.999444
[45] eval-auc:0.674959 train-auc:0.999544
[46] eval-auc:0.675075 train-auc:0.999538
[47] eval-auc:0.675654 train-auc:0.999616
[48] eval-auc:0.67444 train-auc:0.999642
[49] eval-auc:0.675427 train-auc:0.999713
[50] eval-auc:0.676284 train-auc:0.99982
[51] eval-auc:0.676388 train-auc:0.999825
[52] eval-auc:0.675901 train-auc:0.999857
[53] eval-auc:0.674541 train-auc:0.999879
[54] eval-auc:0.675666 train-auc:0.999876
[55] eval-auc:0.676135 train-auc:0.999889
[56] eval-auc:0.676204 train-auc:0.999913
[57] eval-auc:0.673266 train-auc:0.999936
[58] eval-auc:0.675738 train-auc:0.999943
[59] eval-auc:0.675882 train-auc:0.999943
[60] eval-auc:0.674685 train-auc:0.999967
[61] eval-auc:0.674891 train-auc:0.999978
[62] eval-auc:0.675795 train-auc:0.999975
[63] eval-auc:0.677975 train-auc:0.999982
[64] eval-auc:0.678116 train-auc:0.999984
[65] eval-auc:0.678022 train-auc:0.99999
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[70] eval-auc:0.677107 train-auc:0.999995
[71] eval-auc:0.676162 train-auc:0.999994
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[73] eval-auc:0.673117 train-auc:0.999998
[74] eval-auc:0.67294 train-auc:0.999997
[75] eval-auc:0.674664 train-auc:0.999998
[76] eval-auc:0.675192 train-auc:0.999998
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[78] eval-auc:0.673967 train-auc:0.999999
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[80] eval-auc:0.674653 train-auc:1
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[100] eval-auc:0.670236 train-auc:1
[101] eval-auc:0.671063 train-auc:1
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[120] eval-auc:0.675494 train-auc:1
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[124] eval-auc:0.675753 train-auc:1
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[128] eval-auc:0.677425 train-auc:1
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[130] eval-auc:0.677563 train-auc:1
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[133] eval-auc:0.676481 train-auc:1
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[135] eval-auc:0.675675 train-auc:1
[136] eval-auc:0.675081 train-auc:1
[137] eval-auc:0.674413 train-auc:1
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[139] eval-auc:0.674308 train-auc:1
[140] eval-auc:0.673018 train-auc:1
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[156] eval-auc:0.677283 train-auc:1
[157] eval-auc:0.677411 train-auc:1
[158] eval-auc:0.677515 train-auc:1
[159] eval-auc:0.678008 train-auc:1
[160] eval-auc:0.677668 train-auc:1
[161] eval-auc:0.676992 train-auc:1
[162] eval-auc:0.676705 train-auc:1
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[164] eval-auc:0.676211 train-auc:1
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[166] eval-auc:0.677084 train-auc:1
[167] eval-auc:0.677822 train-auc:1
[168] eval-auc:0.677617 train-auc:1
[169] eval-auc:0.67868 train-auc:1
[170] eval-auc:0.678651 train-auc:1
[171] eval-auc:0.6779 train-auc:1
[172] eval-auc:0.677971 train-auc:1
[173] eval-auc:0.677882 train-auc:1
[174] eval-auc:0.678169 train-auc:1
[175] eval-auc:0.677055 train-auc:1
[176] eval-auc:0.676051 train-auc:1
[177] eval-auc:0.676088 train-auc:1
[178] eval-auc:0.675951 train-auc:1
[179] eval-auc:0.676159 train-auc:1
[180] eval-auc:0.676211 train-auc:1
[181] eval-auc:0.6767 train-auc:1
[182] eval-auc:0.677005 train-auc:1
[183] eval-auc:0.676931 train-auc:1
[184] eval-auc:0.67656 train-auc:1
[185] eval-auc:0.675984 train-auc:1
[186] eval-auc:0.675904 train-auc:1
[187] eval-auc:0.676124 train-auc:1
[188] eval-auc:0.6761 train-auc:1
[189] eval-auc:0.67606 train-auc:1
[190] eval-auc:0.677693 train-auc:1
[191] eval-auc:0.677349 train-auc:1
[192] eval-auc:0.678078 train-auc:1
[193] eval-auc:0.67846 train-auc:1
[194] eval-auc:0.677372 train-auc:1
[195] eval-auc:0.677335 train-auc:1
[196] eval-auc:0.678168 train-auc:1
[197] eval-auc:0.679526 train-auc:1
[198] eval-auc:0.678839 train-auc:1
[199] eval-auc:0.679551 train-auc:1
[200] eval-auc:0.679413 train-auc:1
[201] eval-auc:0.679491 train-auc:1
[202] eval-auc:0.679491 train-auc:1
[203] eval-auc:0.679519 train-auc:1
[204] eval-auc:0.679266 train-auc:1
[205] eval-auc:0.678893 train-auc:1
[206] eval-auc:0.678294 train-auc:1
[207] eval-auc:0.678692 train-auc:1
[208] eval-auc:0.678013 train-auc:1
[209] eval-auc:0.677673 train-auc:1
[210] eval-auc:0.678025 train-auc:1
[211] eval-auc:0.677738 train-auc:1
[212] eval-auc:0.677953 train-auc:1
[213] eval-auc:0.677623 train-auc:1
[214] eval-auc:0.677996 train-auc:1
[215] eval-auc:0.678401 train-auc:1
[216] eval-auc:0.678623 train-auc:1
[217] eval-auc:0.678434 train-auc:1
[218] eval-auc:0.678306 train-auc:1
[219] eval-auc:0.678407 train-auc:1
[220] eval-auc:0.678407 train-auc:1
[221] eval-auc:0.678454 train-auc:1
[222] eval-auc:0.678792 train-auc:1
[223] eval-auc:0.679171 train-auc:1
[224] eval-auc:0.679168 train-auc:1
[225] eval-auc:0.679168 train-auc:1
[226] eval-auc:0.679019 train-auc:1
[227] eval-auc:0.679019 train-auc:1
[228] eval-auc:0.679065 train-auc:1
[229] eval-auc:0.679351 train-auc:1
[230] eval-auc:0.679407 train-auc:1
[231] eval-auc:0.678809 train-auc:1
[232] eval-auc:0.67889 train-auc:1
[233] eval-auc:0.678567 train-auc:1
Score 0.6785668603588788
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8, 'eta': 0.45, 'eval_metric': 'auc', 'gamma': 0.6000000000000001, 'max_depth': 5, 'min_child_weight': 3.0, 'n_estimators': 506.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.75, 'tree_method': 'exact'}
[0] eval-auc:0.632871 train-auc:0.708185
[1] eval-auc:0.657425 train-auc:0.7346
[2] eval-auc:0.663454 train-auc:0.75987
[3] eval-auc:0.670536 train-auc:0.774106
[4] eval-auc:0.699243 train-auc:0.811764
[5] eval-auc:0.696086 train-auc:0.823277
[6] eval-auc:0.696511 train-auc:0.832822
[7] eval-auc:0.700123 train-auc:0.841934
[8] eval-auc:0.69945 train-auc:0.852643
[9] eval-auc:0.696757 train-auc:0.856057
[10] eval-auc:0.695447 train-auc:0.866923
[11] eval-auc:0.693369 train-auc:0.86895
[12] eval-auc:0.694118 train-auc:0.873502
[13] eval-auc:0.694007 train-auc:0.881741
[14] eval-auc:0.69443 train-auc:0.889218
[15] eval-auc:0.690706 train-auc:0.896003
[16] eval-auc:0.692138 train-auc:0.900272
[17] eval-auc:0.689524 train-auc:0.903027
[18] eval-auc:0.688497 train-auc:0.908458
[19] eval-auc:0.687868 train-auc:0.912687
[20] eval-auc:0.681091 train-auc:0.91476
[21] eval-auc:0.682276 train-auc:0.919102
[22] eval-auc:0.682867 train-auc:0.921003
[23] eval-auc:0.676956 train-auc:0.926445
[24] eval-auc:0.682223 train-auc:0.930725
[25] eval-auc:0.681621 train-auc:0.935255
[26] eval-auc:0.679083 train-auc:0.937536
[27] eval-auc:0.680578 train-auc:0.939756
[28] eval-auc:0.683207 train-auc:0.940869
[29] eval-auc:0.676277 train-auc:0.942262
[30] eval-auc:0.678048 train-auc:0.945095
[31] eval-auc:0.679106 train-auc:0.948072
[32] eval-auc:0.678248 train-auc:0.950123
[33] eval-auc:0.677366 train-auc:0.952963
[34] eval-auc:0.675872 train-auc:0.955232
[35] eval-auc:0.673056 train-auc:0.957526
[36] eval-auc:0.67407 train-auc:0.958631
[37] eval-auc:0.672624 train-auc:0.958952
[38] eval-auc:0.671 train-auc:0.960605
[39] eval-auc:0.668209 train-auc:0.963417
[40] eval-auc:0.667836 train-auc:0.964106
[41] eval-auc:0.665267 train-auc:0.966457
[42] eval-auc:0.665826 train-auc:0.967654
[43] eval-auc:0.664844 train-auc:0.967784
[44] eval-auc:0.665867 train-auc:0.968997
[45] eval-auc:0.666776 train-auc:0.970163
[46] eval-auc:0.667656 train-auc:0.971571
[47] eval-auc:0.666327 train-auc:0.972836
[48] eval-auc:0.666117 train-auc:0.974517
[49] eval-auc:0.663279 train-auc:0.975376
[50] eval-auc:0.66162 train-auc:0.976609
[51] eval-auc:0.662566 train-auc:0.977798
[52] eval-auc:0.66213 train-auc:0.978777
[53] eval-auc:0.661302 train-auc:0.980036
[54] eval-auc:0.662633 train-auc:0.980419
[55] eval-auc:0.659816 train-auc:0.982452
[56] eval-auc:0.657914 train-auc:0.983236
[57] eval-auc:0.657552 train-auc:0.98371
[58] eval-auc:0.659088 train-auc:0.984694
[59] eval-auc:0.657424 train-auc:0.985373
[60] eval-auc:0.655995 train-auc:0.985871
[61] eval-auc:0.658523 train-auc:0.986691
[62] eval-auc:0.657419 train-auc:0.987188
[63] eval-auc:0.658753 train-auc:0.987489
[64] eval-auc:0.65829 train-auc:0.98852
[65] eval-auc:0.657197 train-auc:0.988825
[66] eval-auc:0.656877 train-auc:0.989303
[67] eval-auc:0.657813 train-auc:0.989691
[68] eval-auc:0.657252 train-auc:0.990056
[69] eval-auc:0.658106 train-auc:0.99014
[70] eval-auc:0.657647 train-auc:0.99032
[71] eval-auc:0.656682 train-auc:0.990522
[72] eval-auc:0.657136 train-auc:0.990754
[73] eval-auc:0.657407 train-auc:0.991286
[74] eval-auc:0.658636 train-auc:0.991539
[75] eval-auc:0.658407 train-auc:0.991667
[76] eval-auc:0.656129 train-auc:0.992162
[77] eval-auc:0.656344 train-auc:0.992553
[78] eval-auc:0.656333 train-auc:0.992744
[79] eval-auc:0.657471 train-auc:0.993187
[80] eval-auc:0.656215 train-auc:0.993356
[81] eval-auc:0.654534 train-auc:0.993885
[82] eval-auc:0.653731 train-auc:0.994088
[83] eval-auc:0.655458 train-auc:0.9943
[84] eval-auc:0.654774 train-auc:0.994598
[85] eval-auc:0.655931 train-auc:0.994859
[86] eval-auc:0.657576 train-auc:0.995211
[87] eval-auc:0.65725 train-auc:0.995254
[88] eval-auc:0.656455 train-auc:0.995427
[89] eval-auc:0.657111 train-auc:0.99555
[90] eval-auc:0.656891 train-auc:0.995842
[91] eval-auc:0.658627 train-auc:0.996232
[92] eval-auc:0.659418 train-auc:0.996328
[93] eval-auc:0.662485 train-auc:0.99653
[94] eval-auc:0.664789 train-auc:0.996614
[95] eval-auc:0.663743 train-auc:0.996717
[96] eval-auc:0.664232 train-auc:0.996828
[97] eval-auc:0.664335 train-auc:0.996978
[98] eval-auc:0.664876 train-auc:0.997154
[99] eval-auc:0.664571 train-auc:0.997426
[100] eval-auc:0.664302 train-auc:0.997423
[101] eval-auc:0.665215 train-auc:0.997571
[102] eval-auc:0.667768 train-auc:0.997725
[103] eval-auc:0.66757 train-auc:0.997897
[104] eval-auc:0.668479 train-auc:0.997976
[105] eval-auc:0.666763 train-auc:0.998015
[106] eval-auc:0.666505 train-auc:0.997978
[107] eval-auc:0.666947 train-auc:0.997981
[108] eval-auc:0.667841 train-auc:0.998108
[109] eval-auc:0.668241 train-auc:0.998134
[110] eval-auc:0.666728 train-auc:0.998229
[111] eval-auc:0.667928 train-auc:0.998309
[112] eval-auc:0.666766 train-auc:0.9983
[113] eval-auc:0.665767 train-auc:0.998369
[114] eval-auc:0.670961 train-auc:0.99839
[115] eval-auc:0.670291 train-auc:0.998539
[116] eval-auc:0.671559 train-auc:0.998692
[117] eval-auc:0.670623 train-auc:0.998823
[118] eval-auc:0.670257 train-auc:0.99888
[119] eval-auc:0.669921 train-auc:0.999022
[120] eval-auc:0.669705 train-auc:0.999158
[121] eval-auc:0.670533 train-auc:0.999188
[122] eval-auc:0.671049 train-auc:0.999175
[123] eval-auc:0.670113 train-auc:0.999163
[124] eval-auc:0.670764 train-auc:0.999203
[125] eval-auc:0.671043 train-auc:0.99923
[126] eval-auc:0.670233 train-auc:0.999277
[127] eval-auc:0.671716 train-auc:0.999281
[128] eval-auc:0.672924 train-auc:0.999321
[129] eval-auc:0.67229 train-auc:0.999317
[130] eval-auc:0.672905 train-auc:0.999402
[131] eval-auc:0.671888 train-auc:0.999356
[132] eval-auc:0.672176 train-auc:0.999403
[133] eval-auc:0.672771 train-auc:0.999426
[134] eval-auc:0.673374 train-auc:0.999426
[135] eval-auc:0.673965 train-auc:0.999455
[136] eval-auc:0.674507 train-auc:0.999463
[137] eval-auc:0.67294 train-auc:0.999516
[138] eval-auc:0.672217 train-auc:0.99954
[139] eval-auc:0.672027 train-auc:0.999561
[140] eval-auc:0.672695 train-auc:0.999567
[141] eval-auc:0.672898 train-auc:0.999585
[142] eval-auc:0.672907 train-auc:0.999588
[143] eval-auc:0.672459 train-auc:0.999595
[144] eval-auc:0.671415 train-auc:0.999609
[145] eval-auc:0.670407 train-auc:0.999609
[146] eval-auc:0.669397 train-auc:0.999638
[147] eval-auc:0.669634 train-auc:0.999646
[148] eval-auc:0.67212 train-auc:0.999677
[149] eval-auc:0.672325 train-auc:0.999671
[150] eval-auc:0.672666 train-auc:0.999655
[151] eval-auc:0.671529 train-auc:0.99968
[152] eval-auc:0.671054 train-auc:0.999715
[153] eval-auc:0.67113 train-auc:0.999698
[154] eval-auc:0.6707 train-auc:0.999692
[155] eval-auc:0.66981 train-auc:0.999684
[156] eval-auc:0.669641 train-auc:0.999697
[157] eval-auc:0.66944 train-auc:0.999702
[158] eval-auc:0.66825 train-auc:0.999724
[159] eval-auc:0.667427 train-auc:0.999748
[160] eval-auc:0.668476 train-auc:0.999761
[161] eval-auc:0.66818 train-auc:0.999765
[162] eval-auc:0.669118 train-auc:0.999767
[163] eval-auc:0.668885 train-auc:0.999766
[164] eval-auc:0.669995 train-auc:0.999788
[165] eval-auc:0.66915 train-auc:0.999802
[166] eval-auc:0.6694 train-auc:0.9998
[167] eval-auc:0.670043 train-auc:0.999807
[168] eval-auc:0.671705 train-auc:0.999817
[169] eval-auc:0.671366 train-auc:0.999833
[170] eval-auc:0.671599 train-auc:0.999837
[171] eval-auc:0.671527 train-auc:0.999835
[172] eval-auc:0.671638 train-auc:0.999834
[173] eval-auc:0.67086 train-auc:0.999885
[174] eval-auc:0.67088 train-auc:0.99988
[175] eval-auc:0.669516 train-auc:0.999879
[176] eval-auc:0.668849 train-auc:0.999895
[177] eval-auc:0.669077 train-auc:0.999885
[178] eval-auc:0.669746 train-auc:0.999892
[179] eval-auc:0.671262 train-auc:0.999897
[180] eval-auc:0.671932 train-auc:0.999899
[181] eval-auc:0.672299 train-auc:0.999901
[182] eval-auc:0.671363 train-auc:0.999898
[183] eval-auc:0.670763 train-auc:0.999897
[184] eval-auc:0.670626 train-auc:0.999899
[185] eval-auc:0.670434 train-auc:0.999923
[186] eval-auc:0.670076 train-auc:0.999933
[187] eval-auc:0.669587 train-auc:0.999936
[188] eval-auc:0.668669 train-auc:0.999947
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[280] eval-auc:0.67302 train-auc:1
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[282] eval-auc:0.672919 train-auc:1
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[285] eval-auc:0.672283 train-auc:1
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[293] eval-auc:0.67086 train-auc:1
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[300] eval-auc:0.670452 train-auc:1
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[303] eval-auc:0.670604 train-auc:1
[304] eval-auc:0.671087 train-auc:1
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[311] eval-auc:0.671436 train-auc:1
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[331] eval-auc:0.668234 train-auc:1
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[335] eval-auc:0.668218 train-auc:1
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[340] eval-auc:0.668369 train-auc:1
[341] eval-auc:0.668034 train-auc:1
[342] eval-auc:0.667825 train-auc:1
[343] eval-auc:0.667705 train-auc:1
[344] eval-auc:0.668014 train-auc:1
[345] eval-auc:0.668001 train-auc:1
[346] eval-auc:0.668001 train-auc:1
[347] eval-auc:0.669039 train-auc:1
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[349] eval-auc:0.66846 train-auc:1
[350] eval-auc:0.668661 train-auc:1
[351] eval-auc:0.668762 train-auc:1
[352] eval-auc:0.66861 train-auc:1
[353] eval-auc:0.67234 train-auc:1
[354] eval-auc:0.672863 train-auc:1
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[356] eval-auc:0.672135 train-auc:1
[357] eval-auc:0.671856 train-auc:1
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[359] eval-auc:0.671902 train-auc:1
[360] eval-auc:0.671536 train-auc:1
[361] eval-auc:0.671363 train-auc:1
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[363] eval-auc:0.670933 train-auc:1
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[365] eval-auc:0.671016 train-auc:1
[366] eval-auc:0.671536 train-auc:1
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[368] eval-auc:0.671804 train-auc:1
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[370] eval-auc:0.671316 train-auc:1
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[372] eval-auc:0.67107 train-auc:1
[373] eval-auc:0.671224 train-auc:1
[374] eval-auc:0.671252 train-auc:1
[375] eval-auc:0.671028 train-auc:1
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[379] eval-auc:0.672103 train-auc:1
[380] eval-auc:0.672103 train-auc:1
[381] eval-auc:0.67224 train-auc:1
[382] eval-auc:0.671734 train-auc:1
[383] eval-auc:0.672155 train-auc:1
[384] eval-auc:0.672168 train-auc:1
[385] eval-auc:0.670731 train-auc:1
[386] eval-auc:0.670493 train-auc:1
[387] eval-auc:0.670139 train-auc:1
[388] eval-auc:0.670343 train-auc:1
[389] eval-auc:0.670273 train-auc:1
[390] eval-auc:0.671782 train-auc:1
[391] eval-auc:0.672144 train-auc:1
[392] eval-auc:0.672199 train-auc:1
[393] eval-auc:0.672199 train-auc:1
[394] eval-auc:0.672199 train-auc:1
[395] eval-auc:0.672503 train-auc:1
[396] eval-auc:0.672503 train-auc:1
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[398] eval-auc:0.672701 train-auc:1
[399] eval-auc:0.673958 train-auc:1
[400] eval-auc:0.673848 train-auc:1
[401] eval-auc:0.674254 train-auc:1
[402] eval-auc:0.674455 train-auc:1
[403] eval-auc:0.674363 train-auc:1
[404] eval-auc:0.675375 train-auc:1
[405] eval-auc:0.675451 train-auc:1
[406] eval-auc:0.676491 train-auc:1
[407] eval-auc:0.676516 train-auc:1
[408] eval-auc:0.676534 train-auc:1
[409] eval-auc:0.676729 train-auc:1
[410] eval-auc:0.676729 train-auc:1
[411] eval-auc:0.676138 train-auc:1
[412] eval-auc:0.67557 train-auc:1
[413] eval-auc:0.675695 train-auc:1
[414] eval-auc:0.676184 train-auc:1
[415] eval-auc:0.676654 train-auc:1
[416] eval-auc:0.676251 train-auc:1
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[420] eval-auc:0.67685 train-auc:1
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[425] eval-auc:0.677043 train-auc:1
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[427] eval-auc:0.676604 train-auc:1
[428] eval-auc:0.676207 train-auc:1
[429] eval-auc:0.676207 train-auc:1
[430] eval-auc:0.676207 train-auc:1
[431] eval-auc:0.676453 train-auc:1
[432] eval-auc:0.676453 train-auc:1
[433] eval-auc:0.676365 train-auc:1
[434] eval-auc:0.676354 train-auc:1
[435] eval-auc:0.676347 train-auc:1
[436] eval-auc:0.67659 train-auc:1
[437] eval-auc:0.675965 train-auc:1
[438] eval-auc:0.675776 train-auc:1
[439] eval-auc:0.67582 train-auc:1
[440] eval-auc:0.676105 train-auc:1
[441] eval-auc:0.676286 train-auc:1
[442] eval-auc:0.676123 train-auc:1
[443] eval-auc:0.675744 train-auc:1
[444] eval-auc:0.67562 train-auc:1
[445] eval-auc:0.675835 train-auc:1
[446] eval-auc:0.675739 train-auc:1
[447] eval-auc:0.675739 train-auc:1
[448] eval-auc:0.675739 train-auc:1
[449] eval-auc:0.674844 train-auc:1
[450] eval-auc:0.674827 train-auc:1
[451] eval-auc:0.674888 train-auc:1
[452] eval-auc:0.675075 train-auc:1
[453] eval-auc:0.675229 train-auc:1
[454] eval-auc:0.675742 train-auc:1
[455] eval-auc:0.675157 train-auc:1
[456] eval-auc:0.675601 train-auc:1
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[458] eval-auc:0.6748 train-auc:1
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[460] eval-auc:0.67472 train-auc:1
[461] eval-auc:0.674966 train-auc:1
[462] eval-auc:0.674966 train-auc:1
[463] eval-auc:0.674966 train-auc:1
[464] eval-auc:0.674906 train-auc:1
[465] eval-auc:0.674906 train-auc:1
[466] eval-auc:0.674906 train-auc:1
[467] eval-auc:0.674906 train-auc:1
[468] eval-auc:0.674892 train-auc:1
[469] eval-auc:0.674375 train-auc:1
[470] eval-auc:0.674452 train-auc:1
[471] eval-auc:0.674452 train-auc:1
[472] eval-auc:0.674609 train-auc:1
[473] eval-auc:0.674609 train-auc:1
[474] eval-auc:0.674719 train-auc:1
[475] eval-auc:0.674612 train-auc:1
[476] eval-auc:0.674713 train-auc:1
[477] eval-auc:0.674385 train-auc:1
[478] eval-auc:0.674105 train-auc:1
[479] eval-auc:0.674105 train-auc:1
[480] eval-auc:0.674579 train-auc:1
[481] eval-auc:0.674579 train-auc:1
[482] eval-auc:0.67465 train-auc:1
[483] eval-auc:0.67465 train-auc:1
[484] eval-auc:0.675177 train-auc:1
[485] eval-auc:0.675177 train-auc:1
[486] eval-auc:0.674606 train-auc:1
[487] eval-auc:0.675066 train-auc:1
[488] eval-auc:0.675066 train-auc:1
[489] eval-auc:0.675066 train-auc:1
[490] eval-auc:0.675098 train-auc:1
[491] eval-auc:0.675048 train-auc:1
[492] eval-auc:0.675048 train-auc:1
[493] eval-auc:0.6751 train-auc:1
[494] eval-auc:0.674809 train-auc:1
[495] eval-auc:0.674809 train-auc:1
[496] eval-auc:0.674804 train-auc:1
[497] eval-auc:0.674804 train-auc:1
[498] eval-auc:0.674804 train-auc:1
[499] eval-auc:0.675019 train-auc:1
[500] eval-auc:0.675019 train-auc:1
[501] eval-auc:0.674868 train-auc:1
[502] eval-auc:0.674628 train-auc:1
[503] eval-auc:0.674987 train-auc:1
[504] eval-auc:0.674987 train-auc:1
[505] eval-auc:0.675345 train-auc:1
Score 0.6753447477737577
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.7000000000000001, 'eta': 0.47500000000000003, 'eval_metric': 'auc', 'gamma': 0.8500000000000001, 'max_depth': 9, 'min_child_weight': 3.0, 'n_estimators': 646.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.5, 'tree_method': 'exact'}
[0] eval-auc:0.614712 train-auc:0.736229
[1] eval-auc:0.619663 train-auc:0.775624
[2] eval-auc:0.625208 train-auc:0.822243
[3] eval-auc:0.633154 train-auc:0.851005
[4] eval-auc:0.668087 train-auc:0.884337
[5] eval-auc:0.671367 train-auc:0.902277
[6] eval-auc:0.667889 train-auc:0.909029
[7] eval-auc:0.667721 train-auc:0.916172
[8] eval-auc:0.670447 train-auc:0.929965
[9] eval-auc:0.671102 train-auc:0.938258
[10] eval-auc:0.669976 train-auc:0.943861
[11] eval-auc:0.671556 train-auc:0.949235
[12] eval-auc:0.671456 train-auc:0.950716
[13] eval-auc:0.670183 train-auc:0.958538
[14] eval-auc:0.667981 train-auc:0.960771
[15] eval-auc:0.666642 train-auc:0.963423
[16] eval-auc:0.662188 train-auc:0.967868
[17] eval-auc:0.662857 train-auc:0.971789
[18] eval-auc:0.653119 train-auc:0.974315
[19] eval-auc:0.648309 train-auc:0.976627
[20] eval-auc:0.647386 train-auc:0.980127
[21] eval-auc:0.643029 train-auc:0.980671
[22] eval-auc:0.644436 train-auc:0.981165
[23] eval-auc:0.654042 train-auc:0.982775
[24] eval-auc:0.649952 train-auc:0.985912
[25] eval-auc:0.64918 train-auc:0.986217
[26] eval-auc:0.651989 train-auc:0.987681
[27] eval-auc:0.653602 train-auc:0.989331
[28] eval-auc:0.651995 train-auc:0.990929
[29] eval-auc:0.649571 train-auc:0.991881
[30] eval-auc:0.647523 train-auc:0.992638
[31] eval-auc:0.646343 train-auc:0.993222
[32] eval-auc:0.645481 train-auc:0.993916
[33] eval-auc:0.645219 train-auc:0.993979
[34] eval-auc:0.643443 train-auc:0.994249
[35] eval-auc:0.63861 train-auc:0.99471
[36] eval-auc:0.639017 train-auc:0.995163
[37] eval-auc:0.636462 train-auc:0.995743
[38] eval-auc:0.636911 train-auc:0.99627
[39] eval-auc:0.637273 train-auc:0.996777
[40] eval-auc:0.639761 train-auc:0.997329
[41] eval-auc:0.640718 train-auc:0.99754
[42] eval-auc:0.642722 train-auc:0.997767
[43] eval-auc:0.644549 train-auc:0.997972
[44] eval-auc:0.643909 train-auc:0.998129
[45] eval-auc:0.642507 train-auc:0.998244
[46] eval-auc:0.648741 train-auc:0.998371
[47] eval-auc:0.646427 train-auc:0.998512
[48] eval-auc:0.648899 train-auc:0.998787
[49] eval-auc:0.649898 train-auc:0.998785
[50] eval-auc:0.648595 train-auc:0.998924
[51] eval-auc:0.647649 train-auc:0.998962
[52] eval-auc:0.650192 train-auc:0.999018
[53] eval-auc:0.650957 train-auc:0.999101
[54] eval-auc:0.651622 train-auc:0.999201
[55] eval-auc:0.649487 train-auc:0.999344
[56] eval-auc:0.649379 train-auc:0.999479
[57] eval-auc:0.647954 train-auc:0.999481
[58] eval-auc:0.647801 train-auc:0.999536
[59] eval-auc:0.646792 train-auc:0.999567
[60] eval-auc:0.648482 train-auc:0.999592
[61] eval-auc:0.648141 train-auc:0.999579
[62] eval-auc:0.64873 train-auc:0.999615
[63] eval-auc:0.6521 train-auc:0.999647
[64] eval-auc:0.651541 train-auc:0.999648
[65] eval-auc:0.649534 train-auc:0.999634
[66] eval-auc:0.650503 train-auc:0.999662
[67] eval-auc:0.649895 train-auc:0.999699
[68] eval-auc:0.647431 train-auc:0.999687
[69] eval-auc:0.646169 train-auc:0.999747
[70] eval-auc:0.647922 train-auc:0.999761
[71] eval-auc:0.646876 train-auc:0.999791
[72] eval-auc:0.645499 train-auc:0.999824
[73] eval-auc:0.645417 train-auc:0.999835
[74] eval-auc:0.644974 train-auc:0.999862
[75] eval-auc:0.643722 train-auc:0.999851
[76] eval-auc:0.642764 train-auc:0.999826
[77] eval-auc:0.642263 train-auc:0.999822
[78] eval-auc:0.641714 train-auc:0.999834
[79] eval-auc:0.643678 train-auc:0.999851
[80] eval-auc:0.641828 train-auc:0.999876
[81] eval-auc:0.640745 train-auc:0.999892
[82] eval-auc:0.638919 train-auc:0.999932
[83] eval-auc:0.638533 train-auc:0.999943
[84] eval-auc:0.640451 train-auc:0.999946
[85] eval-auc:0.639358 train-auc:0.999918
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[521] eval-auc:0.64505 train-auc:1
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[523] eval-auc:0.645018 train-auc:1
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[527] eval-auc:0.644471 train-auc:1
[528] eval-auc:0.644471 train-auc:1
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[530] eval-auc:0.644471 train-auc:1
[531] eval-auc:0.644564 train-auc:1
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[533] eval-auc:0.645228 train-auc:1
[534] eval-auc:0.645228 train-auc:1
[535] eval-auc:0.645228 train-auc:1
[536] eval-auc:0.645843 train-auc:1
[537] eval-auc:0.646419 train-auc:1
[538] eval-auc:0.645995 train-auc:1
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[540] eval-auc:0.646076 train-auc:1
[541] eval-auc:0.646076 train-auc:1
[542] eval-auc:0.64597 train-auc:1
[543] eval-auc:0.645903 train-auc:1
[544] eval-auc:0.645147 train-auc:1
[545] eval-auc:0.645147 train-auc:1
[546] eval-auc:0.646277 train-auc:1
[547] eval-auc:0.645191 train-auc:1
[548] eval-auc:0.645191 train-auc:1
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[550] eval-auc:0.64503 train-auc:1
[551] eval-auc:0.64503 train-auc:1
[552] eval-auc:0.64537 train-auc:1
[553] eval-auc:0.64537 train-auc:1
[554] eval-auc:0.645365 train-auc:1
[555] eval-auc:0.645319 train-auc:1
[556] eval-auc:0.644054 train-auc:1
[557] eval-auc:0.643657 train-auc:1
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[560] eval-auc:0.643657 train-auc:1
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[570] eval-auc:0.644135 train-auc:1
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[572] eval-auc:0.643925 train-auc:1
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[575] eval-auc:0.644036 train-auc:1
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[578] eval-auc:0.644118 train-auc:1
[579] eval-auc:0.643716 train-auc:1
[580] eval-auc:0.643716 train-auc:1
[581] eval-auc:0.644136 train-auc:1
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[584] eval-auc:0.644624 train-auc:1
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[586] eval-auc:0.644345 train-auc:1
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[589] eval-auc:0.643753 train-auc:1
[590] eval-auc:0.643753 train-auc:1
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[593] eval-auc:0.643801 train-auc:1
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[595] eval-auc:0.643801 train-auc:1
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[597] eval-auc:0.643801 train-auc:1
[598] eval-auc:0.643801 train-auc:1
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[600] eval-auc:0.644314 train-auc:1
[601] eval-auc:0.644314 train-auc:1
[602] eval-auc:0.645475 train-auc:1
[603] eval-auc:0.645475 train-auc:1
[604] eval-auc:0.645475 train-auc:1
[605] eval-auc:0.645475 train-auc:1
[606] eval-auc:0.645475 train-auc:1
[607] eval-auc:0.644949 train-auc:1
[608] eval-auc:0.644949 train-auc:1
[609] eval-auc:0.644949 train-auc:1
[610] eval-auc:0.646675 train-auc:1
[611] eval-auc:0.646675 train-auc:1
[612] eval-auc:0.64577 train-auc:1
[613] eval-auc:0.646037 train-auc:1
[614] eval-auc:0.646037 train-auc:1
[615] eval-auc:0.64635 train-auc:1
[616] eval-auc:0.64635 train-auc:1
[617] eval-auc:0.645437 train-auc:1
[618] eval-auc:0.645437 train-auc:1
[619] eval-auc:0.645437 train-auc:1
[620] eval-auc:0.645437 train-auc:1
[621] eval-auc:0.645437 train-auc:1
[622] eval-auc:0.645158 train-auc:1
[623] eval-auc:0.645158 train-auc:1
[624] eval-auc:0.644567 train-auc:1
[625] eval-auc:0.645411 train-auc:1
[626] eval-auc:0.645411 train-auc:1
[627] eval-auc:0.644814 train-auc:1
[628] eval-auc:0.644269 train-auc:1
[629] eval-auc:0.644423 train-auc:1
[630] eval-auc:0.644406 train-auc:1
[631] eval-auc:0.644406 train-auc:1
[632] eval-auc:0.644406 train-auc:1
[633] eval-auc:0.644406 train-auc:1
[634] eval-auc:0.644389 train-auc:1
[635] eval-auc:0.644389 train-auc:1
[636] eval-auc:0.644389 train-auc:1
[637] eval-auc:0.644512 train-auc:1
[638] eval-auc:0.644512 train-auc:1
[639] eval-auc:0.64498 train-auc:1
[640] eval-auc:0.64498 train-auc:1
[641] eval-auc:0.646324 train-auc:1
[642] eval-auc:0.646436 train-auc:1
[643] eval-auc:0.646436 train-auc:1
[644] eval-auc:0.646436 train-auc:1
[645] eval-auc:0.646436 train-auc:1
Score 0.6464355760211478
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.6000000000000001, 'eta': 0.275, 'eval_metric': 'auc', 'gamma': 0.5, 'max_depth': 3, 'min_child_weight': 3.0, 'n_estimators': 619.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.533388 train-auc:0.579812
[1] eval-auc:0.636424 train-auc:0.704053
[2] eval-auc:0.640048 train-auc:0.705499
[3] eval-auc:0.647312 train-auc:0.721772
[4] eval-auc:0.654176 train-auc:0.728249
[5] eval-auc:0.676882 train-auc:0.738305
[6] eval-auc:0.680347 train-auc:0.74218
[7] eval-auc:0.680689 train-auc:0.744924
[8] eval-auc:0.695022 train-auc:0.749421
[9] eval-auc:0.696559 train-auc:0.751367
[10] eval-auc:0.694508 train-auc:0.753594
[11] eval-auc:0.692201 train-auc:0.756115
[12] eval-auc:0.693168 train-auc:0.757559
[13] eval-auc:0.695813 train-auc:0.759426
[14] eval-auc:0.696636 train-auc:0.759783
[15] eval-auc:0.697038 train-auc:0.762023
[16] eval-auc:0.698047 train-auc:0.765182
[17] eval-auc:0.700846 train-auc:0.7763
[18] eval-auc:0.701425 train-auc:0.778544
[19] eval-auc:0.701473 train-auc:0.788699
[20] eval-auc:0.700525 train-auc:0.791653
[21] eval-auc:0.701745 train-auc:0.792526
[22] eval-auc:0.701334 train-auc:0.795819
[23] eval-auc:0.701435 train-auc:0.796551
[24] eval-auc:0.703151 train-auc:0.798882
[25] eval-auc:0.702864 train-auc:0.799969
[26] eval-auc:0.699769 train-auc:0.803972
[27] eval-auc:0.698081 train-auc:0.804926
[28] eval-auc:0.698123 train-auc:0.805346
[29] eval-auc:0.696932 train-auc:0.807699
[30] eval-auc:0.698961 train-auc:0.811413
[31] eval-auc:0.700572 train-auc:0.812765
[32] eval-auc:0.700081 train-auc:0.816191
[33] eval-auc:0.699897 train-auc:0.819463
[34] eval-auc:0.699273 train-auc:0.822067
[35] eval-auc:0.699296 train-auc:0.823729
[36] eval-auc:0.700698 train-auc:0.826212
[37] eval-auc:0.700444 train-auc:0.828355
[38] eval-auc:0.701455 train-auc:0.831912
[39] eval-auc:0.702943 train-auc:0.834804
[40] eval-auc:0.704156 train-auc:0.836169
[41] eval-auc:0.703357 train-auc:0.838861
[42] eval-auc:0.703397 train-auc:0.839339
[43] eval-auc:0.703815 train-auc:0.840138
[44] eval-auc:0.703254 train-auc:0.840839
[45] eval-auc:0.704144 train-auc:0.841121
[46] eval-auc:0.704144 train-auc:0.843264
[47] eval-auc:0.702022 train-auc:0.844659
[48] eval-auc:0.701679 train-auc:0.846526
[49] eval-auc:0.702105 train-auc:0.848321
[50] eval-auc:0.701626 train-auc:0.848698
[51] eval-auc:0.70158 train-auc:0.849013
[52] eval-auc:0.700618 train-auc:0.84998
[53] eval-auc:0.700899 train-auc:0.851192
[54] eval-auc:0.70103 train-auc:0.85234
[55] eval-auc:0.702914 train-auc:0.854475
[56] eval-auc:0.702583 train-auc:0.855596
[57] eval-auc:0.701996 train-auc:0.857128
[58] eval-auc:0.702273 train-auc:0.857513
[59] eval-auc:0.703197 train-auc:0.859448
[60] eval-auc:0.703715 train-auc:0.860683
[61] eval-auc:0.705142 train-auc:0.863263
[62] eval-auc:0.704982 train-auc:0.863667
[63] eval-auc:0.704982 train-auc:0.866374
[64] eval-auc:0.704772 train-auc:0.866428
[65] eval-auc:0.705842 train-auc:0.866639
[66] eval-auc:0.706585 train-auc:0.867942
[67] eval-auc:0.706814 train-auc:0.868682
[68] eval-auc:0.706439 train-auc:0.869732
[69] eval-auc:0.707372 train-auc:0.870976
[70] eval-auc:0.707301 train-auc:0.872805
[71] eval-auc:0.707922 train-auc:0.874053
[72] eval-auc:0.707969 train-auc:0.874561
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[74] eval-auc:0.709252 train-auc:0.878083
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[76] eval-auc:0.710208 train-auc:0.87967
[77] eval-auc:0.70795 train-auc:0.880184
[78] eval-auc:0.708146 train-auc:0.881073
[79] eval-auc:0.706771 train-auc:0.882642
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[81] eval-auc:0.706329 train-auc:0.883751
[82] eval-auc:0.706686 train-auc:0.88531
[83] eval-auc:0.707051 train-auc:0.885925
[84] eval-auc:0.705446 train-auc:0.887354
[85] eval-auc:0.705225 train-auc:0.887792
[86] eval-auc:0.704108 train-auc:0.888192
[87] eval-auc:0.70389 train-auc:0.888413
[88] eval-auc:0.702666 train-auc:0.889359
[89] eval-auc:0.701099 train-auc:0.889424
[90] eval-auc:0.702705 train-auc:0.891552
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[94] eval-auc:0.703333 train-auc:0.895252
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[100] eval-auc:0.703445 train-auc:0.900118
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[102] eval-auc:0.704012 train-auc:0.900729
[103] eval-auc:0.703521 train-auc:0.900782
[104] eval-auc:0.703922 train-auc:0.901199
[105] eval-auc:0.70234 train-auc:0.901414
[106] eval-auc:0.701862 train-auc:0.902707
[107] eval-auc:0.702019 train-auc:0.903083
[108] eval-auc:0.702798 train-auc:0.904919
[109] eval-auc:0.702294 train-auc:0.905349
[110] eval-auc:0.703789 train-auc:0.907939
[111] eval-auc:0.704179 train-auc:0.908412
[112] eval-auc:0.703538 train-auc:0.908635
[113] eval-auc:0.704009 train-auc:0.909864
[114] eval-auc:0.703751 train-auc:0.910276
[115] eval-auc:0.703818 train-auc:0.910748
[116] eval-auc:0.702627 train-auc:0.911128
[117] eval-auc:0.702711 train-auc:0.912126
[118] eval-auc:0.701889 train-auc:0.9127
[119] eval-auc:0.702516 train-auc:0.912992
[120] eval-auc:0.701921 train-auc:0.913828
[121] eval-auc:0.702131 train-auc:0.914712
[122] eval-auc:0.701212 train-auc:0.915014
[123] eval-auc:0.700213 train-auc:0.915825
[124] eval-auc:0.701237 train-auc:0.916827
[125] eval-auc:0.70028 train-auc:0.918035
[126] eval-auc:0.699258 train-auc:0.919055
[127] eval-auc:0.699054 train-auc:0.919207
[128] eval-auc:0.698897 train-auc:0.919448
[129] eval-auc:0.699005 train-auc:0.92057
[130] eval-auc:0.698656 train-auc:0.921152
[131] eval-auc:0.698633 train-auc:0.921688
[132] eval-auc:0.69666 train-auc:0.922983
[133] eval-auc:0.697109 train-auc:0.924193
[134] eval-auc:0.697132 train-auc:0.924861
[135] eval-auc:0.697377 train-auc:0.925151
[136] eval-auc:0.69719 train-auc:0.92559
[137] eval-auc:0.6965 train-auc:0.926002
[138] eval-auc:0.696046 train-auc:0.92613
[139] eval-auc:0.696052 train-auc:0.926192
[140] eval-auc:0.696126 train-auc:0.926628
[141] eval-auc:0.69625 train-auc:0.927518
[142] eval-auc:0.696263 train-auc:0.927896
[143] eval-auc:0.695635 train-auc:0.928191
[144] eval-auc:0.696252 train-auc:0.928964
[145] eval-auc:0.69731 train-auc:0.929232
[146] eval-auc:0.695666 train-auc:0.930272
[147] eval-auc:0.6964 train-auc:0.930144
[148] eval-auc:0.69617 train-auc:0.930313
[149] eval-auc:0.696177 train-auc:0.930556
[150] eval-auc:0.695813 train-auc:0.930622
[151] eval-auc:0.696127 train-auc:0.931088
[152] eval-auc:0.695239 train-auc:0.931709
[153] eval-auc:0.695832 train-auc:0.931688
[154] eval-auc:0.696043 train-auc:0.932146
[155] eval-auc:0.69463 train-auc:0.932707
[156] eval-auc:0.695136 train-auc:0.933563
[157] eval-auc:0.695571 train-auc:0.934351
[158] eval-auc:0.695935 train-auc:0.934814
[159] eval-auc:0.696424 train-auc:0.935613
[160] eval-auc:0.695973 train-auc:0.935804
[161] eval-auc:0.695393 train-auc:0.936464
[162] eval-auc:0.695911 train-auc:0.937125
[163] eval-auc:0.694814 train-auc:0.937673
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[165] eval-auc:0.694518 train-auc:0.938475
[166] eval-auc:0.693604 train-auc:0.939324
[167] eval-auc:0.693485 train-auc:0.940626
[168] eval-auc:0.693534 train-auc:0.940973
[169] eval-auc:0.693522 train-auc:0.940819
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[176] eval-auc:0.694819 train-auc:0.944044
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[183] eval-auc:0.695576 train-auc:0.94537
[184] eval-auc:0.696019 train-auc:0.945941
[185] eval-auc:0.69553 train-auc:0.946001
[186] eval-auc:0.695513 train-auc:0.94621
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[190] eval-auc:0.694738 train-auc:0.948369
[191] eval-auc:0.695714 train-auc:0.948783
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[226] eval-auc:0.695037 train-auc:0.962157
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[235] eval-auc:0.693795 train-auc:0.963794
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[239] eval-auc:0.693284 train-auc:0.964192
[240] eval-auc:0.693404 train-auc:0.964504
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[250] eval-auc:0.693406 train-auc:0.967635
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[617] eval-auc:0.685745 train-auc:0.996287
[618] eval-auc:0.685774 train-auc:0.996294
Score 0.6857739770249364
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8500000000000001, 'eta': 0.35000000000000003, 'eval_metric': 'auc', 'gamma': 0.7000000000000001, 'max_depth': 1, 'min_child_weight': 5.0, 'n_estimators': 160.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.55, 'tree_method': 'exact'}
[0] eval-auc:0.637627 train-auc:0.641495
[1] eval-auc:0.64015 train-auc:0.642433
[2] eval-auc:0.669592 train-auc:0.677362
[3] eval-auc:0.667726 train-auc:0.675845
[4] eval-auc:0.702556 train-auc:0.698448
[5] eval-auc:0.696473 train-auc:0.697424
[6] eval-auc:0.696389 train-auc:0.696803
[7] eval-auc:0.704794 train-auc:0.6996
[8] eval-auc:0.704043 train-auc:0.701608
[9] eval-auc:0.701307 train-auc:0.70151
[10] eval-auc:0.69539 train-auc:0.700116
[11] eval-auc:0.697812 train-auc:0.702603
[12] eval-auc:0.69759 train-auc:0.704992
[13] eval-auc:0.699398 train-auc:0.7048
[14] eval-auc:0.69631 train-auc:0.707914
[15] eval-auc:0.694479 train-auc:0.709162
[16] eval-auc:0.695826 train-auc:0.709611
[17] eval-auc:0.69406 train-auc:0.707728
[18] eval-auc:0.694199 train-auc:0.709674
[19] eval-auc:0.691388 train-auc:0.709921
[20] eval-auc:0.691196 train-auc:0.710475
[21] eval-auc:0.692211 train-auc:0.711622
[22] eval-auc:0.69185 train-auc:0.711102
[23] eval-auc:0.691381 train-auc:0.710706
[24] eval-auc:0.694763 train-auc:0.710274
[25] eval-auc:0.695227 train-auc:0.710805
[26] eval-auc:0.693207 train-auc:0.711371
[27] eval-auc:0.691803 train-auc:0.710802
[28] eval-auc:0.692706 train-auc:0.71117
[29] eval-auc:0.691643 train-auc:0.71154
[30] eval-auc:0.6921 train-auc:0.712507
[31] eval-auc:0.692163 train-auc:0.712441
[32] eval-auc:0.692257 train-auc:0.712824
[33] eval-auc:0.691855 train-auc:0.713687
[34] eval-auc:0.690996 train-auc:0.71395
[35] eval-auc:0.68835 train-auc:0.714759
[36] eval-auc:0.686805 train-auc:0.714864
[37] eval-auc:0.687849 train-auc:0.715095
[38] eval-auc:0.688958 train-auc:0.715046
[39] eval-auc:0.689832 train-auc:0.715281
[40] eval-auc:0.690004 train-auc:0.715301
[41] eval-auc:0.691037 train-auc:0.715574
[42] eval-auc:0.691131 train-auc:0.715902
[43] eval-auc:0.69213 train-auc:0.716512
[44] eval-auc:0.693028 train-auc:0.717296
[45] eval-auc:0.692001 train-auc:0.717166
[46] eval-auc:0.692047 train-auc:0.717864
[47] eval-auc:0.693101 train-auc:0.718688
[48] eval-auc:0.693394 train-auc:0.718639
[49] eval-auc:0.694327 train-auc:0.71872
[50] eval-auc:0.694834 train-auc:0.719116
[51] eval-auc:0.695676 train-auc:0.719098
[52] eval-auc:0.696546 train-auc:0.718996
[53] eval-auc:0.697048 train-auc:0.718917
[54] eval-auc:0.699013 train-auc:0.71865
[55] eval-auc:0.699271 train-auc:0.719333
[56] eval-auc:0.699572 train-auc:0.719709
[57] eval-auc:0.698429 train-auc:0.720283
[58] eval-auc:0.698126 train-auc:0.721536
[59] eval-auc:0.697118 train-auc:0.722053
[60] eval-auc:0.697738 train-auc:0.722916
[61] eval-auc:0.696197 train-auc:0.722794
[62] eval-auc:0.696742 train-auc:0.723663
[63] eval-auc:0.697222 train-auc:0.724592
[64] eval-auc:0.69664 train-auc:0.724395
[65] eval-auc:0.697006 train-auc:0.724886
[66] eval-auc:0.697836 train-auc:0.724643
[67] eval-auc:0.69729 train-auc:0.724898
[68] eval-auc:0.696939 train-auc:0.725303
[69] eval-auc:0.695603 train-auc:0.725543
[70] eval-auc:0.694942 train-auc:0.725509
[71] eval-auc:0.695456 train-auc:0.726006
[72] eval-auc:0.694061 train-auc:0.72561
[73] eval-auc:0.693675 train-auc:0.725963
[74] eval-auc:0.693813 train-auc:0.726537
[75] eval-auc:0.695249 train-auc:0.727373
[76] eval-auc:0.694302 train-auc:0.727209
[77] eval-auc:0.692544 train-auc:0.726983
[78] eval-auc:0.694291 train-auc:0.727858
[79] eval-auc:0.69567 train-auc:0.727945
[80] eval-auc:0.696628 train-auc:0.729055
[81] eval-auc:0.697262 train-auc:0.729329
[82] eval-auc:0.698591 train-auc:0.728995
[83] eval-auc:0.696483 train-auc:0.729111
[84] eval-auc:0.698281 train-auc:0.72956
[85] eval-auc:0.698981 train-auc:0.729739
[86] eval-auc:0.6989 train-auc:0.729713
[87] eval-auc:0.699796 train-auc:0.729985
[88] eval-auc:0.699489 train-auc:0.730634
[89] eval-auc:0.700723 train-auc:0.730718
[90] eval-auc:0.698158 train-auc:0.731089
[91] eval-auc:0.699237 train-auc:0.731391
[92] eval-auc:0.697262 train-auc:0.731382
[93] eval-auc:0.698079 train-auc:0.731138
[94] eval-auc:0.696404 train-auc:0.731858
[95] eval-auc:0.695361 train-auc:0.732369
[96] eval-auc:0.694131 train-auc:0.732358
[97] eval-auc:0.694444 train-auc:0.731947
[98] eval-auc:0.695424 train-auc:0.731864
[99] eval-auc:0.694647 train-auc:0.732609
[100] eval-auc:0.692533 train-auc:0.733054
[101] eval-auc:0.692016 train-auc:0.732514
[102] eval-auc:0.692265 train-auc:0.732784
[103] eval-auc:0.692532 train-auc:0.733582
[104] eval-auc:0.693272 train-auc:0.732558
[105] eval-auc:0.69358 train-auc:0.733301
[106] eval-auc:0.692481 train-auc:0.733049
[107] eval-auc:0.692401 train-auc:0.73342
[108] eval-auc:0.693586 train-auc:0.734005
[109] eval-auc:0.693674 train-auc:0.734572
[110] eval-auc:0.693782 train-auc:0.734496
[111] eval-auc:0.69362 train-auc:0.734706
[112] eval-auc:0.692912 train-auc:0.734695
[113] eval-auc:0.691235 train-auc:0.734345
[114] eval-auc:0.692578 train-auc:0.734342
[115] eval-auc:0.692012 train-auc:0.735392
[116] eval-auc:0.693713 train-auc:0.735815
[117] eval-auc:0.694401 train-auc:0.736335
[118] eval-auc:0.693014 train-auc:0.736264
[119] eval-auc:0.692898 train-auc:0.735353
[120] eval-auc:0.692773 train-auc:0.735158
[121] eval-auc:0.693926 train-auc:0.733913
[122] eval-auc:0.694498 train-auc:0.733939
[123] eval-auc:0.694448 train-auc:0.735331
[124] eval-auc:0.694246 train-auc:0.735692
[125] eval-auc:0.6943 train-auc:0.735724
[126] eval-auc:0.696512 train-auc:0.736051
[127] eval-auc:0.694845 train-auc:0.736305
[128] eval-auc:0.694077 train-auc:0.736432
[129] eval-auc:0.693761 train-auc:0.737584
[130] eval-auc:0.693878 train-auc:0.737898
[131] eval-auc:0.693548 train-auc:0.736771
[132] eval-auc:0.691921 train-auc:0.736476
[133] eval-auc:0.69253 train-auc:0.73685
[134] eval-auc:0.693021 train-auc:0.738078
[135] eval-auc:0.693417 train-auc:0.73795
[136] eval-auc:0.693006 train-auc:0.737886
[137] eval-auc:0.690957 train-auc:0.738003
[138] eval-auc:0.690547 train-auc:0.737672
[139] eval-auc:0.689638 train-auc:0.737226
[140] eval-auc:0.690571 train-auc:0.738056
[141] eval-auc:0.692505 train-auc:0.738257
[142] eval-auc:0.692455 train-auc:0.738082
[143] eval-auc:0.693025 train-auc:0.738575
[144] eval-auc:0.692368 train-auc:0.738916
[145] eval-auc:0.693264 train-auc:0.73883
[146] eval-auc:0.693935 train-auc:0.739168
[147] eval-auc:0.695073 train-auc:0.739492
[148] eval-auc:0.695001 train-auc:0.739722
[149] eval-auc:0.694206 train-auc:0.739886
[150] eval-auc:0.695269 train-auc:0.740079
[151] eval-auc:0.695391 train-auc:0.74038
[152] eval-auc:0.695252 train-auc:0.740593
[153] eval-auc:0.69383 train-auc:0.740355
[154] eval-auc:0.693399 train-auc:0.741745
[155] eval-auc:0.694642 train-auc:0.7422
[156] eval-auc:0.693842 train-auc:0.74232
[157] eval-auc:0.693909 train-auc:0.741898
[158] eval-auc:0.692941 train-auc:0.741943
[159] eval-auc:0.694237 train-auc:0.742247
Score 0.6942365907734288
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.7000000000000001, 'eta': 0.125, 'eval_metric': 'auc', 'gamma': 1.0, 'max_depth': 8, 'min_child_weight': 5.0, 'n_estimators': 105.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.8500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.637419 train-auc:0.768653
[1] eval-auc:0.653413 train-auc:0.840571
[2] eval-auc:0.64865 train-auc:0.876245
[3] eval-auc:0.650737 train-auc:0.887313
[4] eval-auc:0.676024 train-auc:0.909387
[5] eval-auc:0.674789 train-auc:0.922018
[6] eval-auc:0.677569 train-auc:0.925963
[7] eval-auc:0.675508 train-auc:0.931179
[8] eval-auc:0.681442 train-auc:0.942233
[9] eval-auc:0.685806 train-auc:0.947007
[10] eval-auc:0.684879 train-auc:0.953752
[11] eval-auc:0.684663 train-auc:0.955369
[12] eval-auc:0.683551 train-auc:0.959585
[13] eval-auc:0.680895 train-auc:0.959915
[14] eval-auc:0.681771 train-auc:0.96285
[15] eval-auc:0.679042 train-auc:0.966537
[16] eval-auc:0.677265 train-auc:0.969785
[17] eval-auc:0.684177 train-auc:0.975313
[18] eval-auc:0.682179 train-auc:0.976356
[19] eval-auc:0.68738 train-auc:0.980836
[20] eval-auc:0.687562 train-auc:0.981879
[21] eval-auc:0.688308 train-auc:0.983371
[22] eval-auc:0.688127 train-auc:0.984959
[23] eval-auc:0.690085 train-auc:0.985833
[24] eval-auc:0.693432 train-auc:0.987878
[25] eval-auc:0.691592 train-auc:0.988344
[26] eval-auc:0.693237 train-auc:0.988619
[27] eval-auc:0.694108 train-auc:0.989164
[28] eval-auc:0.693841 train-auc:0.989478
[29] eval-auc:0.691291 train-auc:0.990467
[30] eval-auc:0.690118 train-auc:0.99136
[31] eval-auc:0.690998 train-auc:0.991836
[32] eval-auc:0.691624 train-auc:0.992415
[33] eval-auc:0.691184 train-auc:0.992963
[34] eval-auc:0.689094 train-auc:0.993635
[35] eval-auc:0.691005 train-auc:0.994346
[36] eval-auc:0.692777 train-auc:0.994652
[37] eval-auc:0.692581 train-auc:0.994936
[38] eval-auc:0.692567 train-auc:0.994972
[39] eval-auc:0.69294 train-auc:0.995543
[40] eval-auc:0.693033 train-auc:0.995681
[41] eval-auc:0.69223 train-auc:0.996074
[42] eval-auc:0.691965 train-auc:0.996318
[43] eval-auc:0.692471 train-auc:0.996753
[44] eval-auc:0.691627 train-auc:0.996658
[45] eval-auc:0.69296 train-auc:0.996732
[46] eval-auc:0.695265 train-auc:0.997139
[47] eval-auc:0.695058 train-auc:0.997373
[48] eval-auc:0.695168 train-auc:0.997467
[49] eval-auc:0.695622 train-auc:0.997702
[50] eval-auc:0.694615 train-auc:0.997738
[51] eval-auc:0.694175 train-auc:0.997744
[52] eval-auc:0.693508 train-auc:0.997897
[53] eval-auc:0.693155 train-auc:0.998042
[54] eval-auc:0.691908 train-auc:0.998386
[55] eval-auc:0.691757 train-auc:0.998492
[56] eval-auc:0.691132 train-auc:0.998597
[57] eval-auc:0.691084 train-auc:0.99862
[58] eval-auc:0.690843 train-auc:0.998753
[59] eval-auc:0.692194 train-auc:0.998849
[60] eval-auc:0.691115 train-auc:0.998921
[61] eval-auc:0.691691 train-auc:0.998944
[62] eval-auc:0.692365 train-auc:0.998958
[63] eval-auc:0.693555 train-auc:0.999044
[64] eval-auc:0.692975 train-auc:0.999098
[65] eval-auc:0.693109 train-auc:0.999106
[66] eval-auc:0.692119 train-auc:0.999146
[67] eval-auc:0.691964 train-auc:0.99921
[68] eval-auc:0.692547 train-auc:0.99923
[69] eval-auc:0.692879 train-auc:0.999229
[70] eval-auc:0.694323 train-auc:0.999297
[71] eval-auc:0.695172 train-auc:0.999304
[72] eval-auc:0.694846 train-auc:0.999366
[73] eval-auc:0.692929 train-auc:0.999389
[74] eval-auc:0.692524 train-auc:0.9994
[75] eval-auc:0.692919 train-auc:0.999412
[76] eval-auc:0.692835 train-auc:0.999457
[77] eval-auc:0.692509 train-auc:0.999473
[78] eval-auc:0.692322 train-auc:0.999505
[79] eval-auc:0.691638 train-auc:0.999584
[80] eval-auc:0.690928 train-auc:0.999565
[81] eval-auc:0.691065 train-auc:0.99959
[82] eval-auc:0.69081 train-auc:0.99961
[83] eval-auc:0.690712 train-auc:0.999661
[84] eval-auc:0.690335 train-auc:0.999664
[85] eval-auc:0.689745 train-auc:0.99968
[86] eval-auc:0.689351 train-auc:0.999696
[87] eval-auc:0.688653 train-auc:0.999698
[88] eval-auc:0.687549 train-auc:0.999712
[89] eval-auc:0.68754 train-auc:0.999722
[90] eval-auc:0.68747 train-auc:0.999729
[91] eval-auc:0.686441 train-auc:0.999727
[92] eval-auc:0.686292 train-auc:0.999733
[93] eval-auc:0.686398 train-auc:0.999738
[94] eval-auc:0.686742 train-auc:0.99974
[95] eval-auc:0.687715 train-auc:0.999788
[96] eval-auc:0.687653 train-auc:0.999794
[97] eval-auc:0.687974 train-auc:0.999795
[98] eval-auc:0.688346 train-auc:0.99981
[99] eval-auc:0.688395 train-auc:0.999818
[100] eval-auc:0.688579 train-auc:0.999814
[101] eval-auc:0.688142 train-auc:0.999837
[102] eval-auc:0.688279 train-auc:0.999837
[103] eval-auc:0.687667 train-auc:0.999843
[104] eval-auc:0.688288 train-auc:0.999842
Score 0.6882880166648393
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.65, 'eta': 0.45, 'eval_metric': 'auc', 'gamma': 1.0, 'max_depth': 2, 'min_child_weight': 4.0, 'n_estimators': 198.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.8500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.669357 train-auc:0.684642
[1] eval-auc:0.667833 train-auc:0.693795
[2] eval-auc:0.67537 train-auc:0.703952
[3] eval-auc:0.680948 train-auc:0.712564
[4] eval-auc:0.6955 train-auc:0.713156
[5] eval-auc:0.693431 train-auc:0.71489
[6] eval-auc:0.69509 train-auc:0.720184
[7] eval-auc:0.696423 train-auc:0.724584
[8] eval-auc:0.699807 train-auc:0.729443
[9] eval-auc:0.701352 train-auc:0.729812
[10] eval-auc:0.700417 train-auc:0.730971
[11] eval-auc:0.701671 train-auc:0.732627
[12] eval-auc:0.704021 train-auc:0.73595
[13] eval-auc:0.703796 train-auc:0.737812
[14] eval-auc:0.704895 train-auc:0.73935
[15] eval-auc:0.704891 train-auc:0.742448
[16] eval-auc:0.703674 train-auc:0.742929
[17] eval-auc:0.706029 train-auc:0.746283
[18] eval-auc:0.706173 train-auc:0.749484
[19] eval-auc:0.705182 train-auc:0.751709
[20] eval-auc:0.70314 train-auc:0.751074
[21] eval-auc:0.702414 train-auc:0.751559
[22] eval-auc:0.704456 train-auc:0.754256
[23] eval-auc:0.704101 train-auc:0.75466
[24] eval-auc:0.702082 train-auc:0.757865
[25] eval-auc:0.702465 train-auc:0.75943
[26] eval-auc:0.698102 train-auc:0.761369
[27] eval-auc:0.698366 train-auc:0.762576
[28] eval-auc:0.697226 train-auc:0.76369
[29] eval-auc:0.696338 train-auc:0.765332
[30] eval-auc:0.696753 train-auc:0.767136
[31] eval-auc:0.696341 train-auc:0.769167
[32] eval-auc:0.697261 train-auc:0.771552
[33] eval-auc:0.697175 train-auc:0.771949
[34] eval-auc:0.696688 train-auc:0.773653
[35] eval-auc:0.699428 train-auc:0.775124
[36] eval-auc:0.698423 train-auc:0.775465
[37] eval-auc:0.695949 train-auc:0.775558
[38] eval-auc:0.690957 train-auc:0.778576
[39] eval-auc:0.690051 train-auc:0.780338
[40] eval-auc:0.690657 train-auc:0.781516
[41] eval-auc:0.691956 train-auc:0.785576
[42] eval-auc:0.690622 train-auc:0.786027
[43] eval-auc:0.689284 train-auc:0.787401
[44] eval-auc:0.688664 train-auc:0.788459
[45] eval-auc:0.689343 train-auc:0.790676
[46] eval-auc:0.689285 train-auc:0.791767
[47] eval-auc:0.688104 train-auc:0.793874
[48] eval-auc:0.688226 train-auc:0.794759
[49] eval-auc:0.688449 train-auc:0.795278
[50] eval-auc:0.685382 train-auc:0.79696
[51] eval-auc:0.685737 train-auc:0.797281
[52] eval-auc:0.685552 train-auc:0.798783
[53] eval-auc:0.687055 train-auc:0.799467
[54] eval-auc:0.685657 train-auc:0.801363
[55] eval-auc:0.685594 train-auc:0.802966
[56] eval-auc:0.686496 train-auc:0.805085
[57] eval-auc:0.685983 train-auc:0.805355
[58] eval-auc:0.685259 train-auc:0.8053
[59] eval-auc:0.686503 train-auc:0.80722
[60] eval-auc:0.684589 train-auc:0.807937
[61] eval-auc:0.686668 train-auc:0.810005
[62] eval-auc:0.687084 train-auc:0.810811
[63] eval-auc:0.68719 train-auc:0.811813
[64] eval-auc:0.686781 train-auc:0.813467
[65] eval-auc:0.686732 train-auc:0.812331
[66] eval-auc:0.686726 train-auc:0.814081
[67] eval-auc:0.68797 train-auc:0.814691
[68] eval-auc:0.687874 train-auc:0.815096
[69] eval-auc:0.688136 train-auc:0.816547
[70] eval-auc:0.688882 train-auc:0.817133
[71] eval-auc:0.689623 train-auc:0.818389
[72] eval-auc:0.690889 train-auc:0.818045
[73] eval-auc:0.689684 train-auc:0.818971
[74] eval-auc:0.689242 train-auc:0.8203
[75] eval-auc:0.68972 train-auc:0.821541
[76] eval-auc:0.688802 train-auc:0.822111
[77] eval-auc:0.685828 train-auc:0.82242
[78] eval-auc:0.683437 train-auc:0.823804
[79] eval-auc:0.683629 train-auc:0.82362
[80] eval-auc:0.682386 train-auc:0.824695
[81] eval-auc:0.680513 train-auc:0.825072
[82] eval-auc:0.681565 train-auc:0.826082
[83] eval-auc:0.68252 train-auc:0.82773
[84] eval-auc:0.68217 train-auc:0.830662
[85] eval-auc:0.682564 train-auc:0.831221
[86] eval-auc:0.681663 train-auc:0.831407
[87] eval-auc:0.681149 train-auc:0.831765
[88] eval-auc:0.679849 train-auc:0.832768
[89] eval-auc:0.681122 train-auc:0.831857
[90] eval-auc:0.680955 train-auc:0.832152
[91] eval-auc:0.679953 train-auc:0.832879
[92] eval-auc:0.681334 train-auc:0.834459
[93] eval-auc:0.682445 train-auc:0.835674
[94] eval-auc:0.681491 train-auc:0.836863
[95] eval-auc:0.682406 train-auc:0.834562
[96] eval-auc:0.682019 train-auc:0.835221
[97] eval-auc:0.682653 train-auc:0.836437
[98] eval-auc:0.683103 train-auc:0.836512
[99] eval-auc:0.684404 train-auc:0.837579
[100] eval-auc:0.68338 train-auc:0.837803
[101] eval-auc:0.682426 train-auc:0.838323
[102] eval-auc:0.681848 train-auc:0.83967
[103] eval-auc:0.680006 train-auc:0.840378
[104] eval-auc:0.679886 train-auc:0.840833
[105] eval-auc:0.678812 train-auc:0.842045
[106] eval-auc:0.679104 train-auc:0.843558
[107] eval-auc:0.678696 train-auc:0.844223
[108] eval-auc:0.677714 train-auc:0.844996
[109] eval-auc:0.677461 train-auc:0.845276
[110] eval-auc:0.67855 train-auc:0.84527
[111] eval-auc:0.679398 train-auc:0.846266
[112] eval-auc:0.680277 train-auc:0.847408
[113] eval-auc:0.681763 train-auc:0.848092
[114] eval-auc:0.681509 train-auc:0.849012
[115] eval-auc:0.680295 train-auc:0.850314
[116] eval-auc:0.681778 train-auc:0.85163
[117] eval-auc:0.682975 train-auc:0.852523
[118] eval-auc:0.683667 train-auc:0.852759
[119] eval-auc:0.684609 train-auc:0.853588
[120] eval-auc:0.684349 train-auc:0.853908
[121] eval-auc:0.683906 train-auc:0.853801
[122] eval-auc:0.683064 train-auc:0.855063
[123] eval-auc:0.683269 train-auc:0.857006
[124] eval-auc:0.682993 train-auc:0.855584
[125] eval-auc:0.683339 train-auc:0.855508
[126] eval-auc:0.683761 train-auc:0.857844
[127] eval-auc:0.686008 train-auc:0.857685
[128] eval-auc:0.685878 train-auc:0.858238
[129] eval-auc:0.686322 train-auc:0.859157
[130] eval-auc:0.687814 train-auc:0.860446
[131] eval-auc:0.68758 train-auc:0.859639
[132] eval-auc:0.687077 train-auc:0.860381
[133] eval-auc:0.687001 train-auc:0.861133
[134] eval-auc:0.687624 train-auc:0.861448
[135] eval-auc:0.686994 train-auc:0.862431
[136] eval-auc:0.687115 train-auc:0.862717
[137] eval-auc:0.687203 train-auc:0.863603
[138] eval-auc:0.687761 train-auc:0.864141
[139] eval-auc:0.688174 train-auc:0.864776
[140] eval-auc:0.689328 train-auc:0.866064
[141] eval-auc:0.687846 train-auc:0.866014
[142] eval-auc:0.687923 train-auc:0.865965
[143] eval-auc:0.687323 train-auc:0.867349
[144] eval-auc:0.687741 train-auc:0.867434
[145] eval-auc:0.688028 train-auc:0.868325
[146] eval-auc:0.687903 train-auc:0.869395
[147] eval-auc:0.689025 train-auc:0.869384
[148] eval-auc:0.689246 train-auc:0.869942
[149] eval-auc:0.689646 train-auc:0.870446
[150] eval-auc:0.689457 train-auc:0.870429
[151] eval-auc:0.690141 train-auc:0.871029
[152] eval-auc:0.690519 train-auc:0.870739
[153] eval-auc:0.690204 train-auc:0.871056
[154] eval-auc:0.690382 train-auc:0.872153
[155] eval-auc:0.691181 train-auc:0.873409
[156] eval-auc:0.69103 train-auc:0.874485
[157] eval-auc:0.690817 train-auc:0.875416
[158] eval-auc:0.690519 train-auc:0.875639
[159] eval-auc:0.689728 train-auc:0.876582
[160] eval-auc:0.6892 train-auc:0.876743
[161] eval-auc:0.689231 train-auc:0.877692
[162] eval-auc:0.689157 train-auc:0.877857
[163] eval-auc:0.687285 train-auc:0.877921
[164] eval-auc:0.687277 train-auc:0.879095
[165] eval-auc:0.68693 train-auc:0.879134
[166] eval-auc:0.686143 train-auc:0.879457
[167] eval-auc:0.686301 train-auc:0.880089
[168] eval-auc:0.684985 train-auc:0.880541
[169] eval-auc:0.686461 train-auc:0.880074
[170] eval-auc:0.686797 train-auc:0.880537
[171] eval-auc:0.686875 train-auc:0.880861
[172] eval-auc:0.68671 train-auc:0.881268
[173] eval-auc:0.687449 train-auc:0.882079
[174] eval-auc:0.687335 train-auc:0.882343
[175] eval-auc:0.688497 train-auc:0.882936
[176] eval-auc:0.68829 train-auc:0.882749
[177] eval-auc:0.688226 train-auc:0.882939
[178] eval-auc:0.688497 train-auc:0.88325
[179] eval-auc:0.688769 train-auc:0.88319
[180] eval-auc:0.687886 train-auc:0.882956
[181] eval-auc:0.688766 train-auc:0.883615
[182] eval-auc:0.687705 train-auc:0.884049
[183] eval-auc:0.687119 train-auc:0.884303
[184] eval-auc:0.686167 train-auc:0.884486
[185] eval-auc:0.685561 train-auc:0.884991
[186] eval-auc:0.686153 train-auc:0.885863
[187] eval-auc:0.685635 train-auc:0.886083
[188] eval-auc:0.685416 train-auc:0.886712
[189] eval-auc:0.685188 train-auc:0.886956
[190] eval-auc:0.68515 train-auc:0.886701
[191] eval-auc:0.684747 train-auc:0.887723
[192] eval-auc:0.684068 train-auc:0.887819
[193] eval-auc:0.684513 train-auc:0.887895
[194] eval-auc:0.683636 train-auc:0.888506
[195] eval-auc:0.68336 train-auc:0.889415
[196] eval-auc:0.682867 train-auc:0.889413
[197] eval-auc:0.682687 train-auc:0.889172
Score 0.6826873880787926
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 1.0, 'eta': 0.325, 'eval_metric': 'auc', 'gamma': 0.6000000000000001, 'max_depth': 9, 'min_child_weight': 2.0, 'n_estimators': 199.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9, 'tree_method': 'exact'}
[0] eval-auc:0.696812 train-auc:0.841367
[1] eval-auc:0.686088 train-auc:0.887039
[2] eval-auc:0.683022 train-auc:0.940407
[3] eval-auc:0.684062 train-auc:0.957037
[4] eval-auc:0.687521 train-auc:0.971441
[5] eval-auc:0.688347 train-auc:0.978762
[6] eval-auc:0.695418 train-auc:0.984695
[7] eval-auc:0.695879 train-auc:0.988598
[8] eval-auc:0.69338 train-auc:0.991854
[9] eval-auc:0.692704 train-auc:0.992966
[10] eval-auc:0.692191 train-auc:0.993856
[11] eval-auc:0.690292 train-auc:0.994876
[12] eval-auc:0.691507 train-auc:0.996605
[13] eval-auc:0.693476 train-auc:0.997286
[14] eval-auc:0.692977 train-auc:0.997565
[15] eval-auc:0.693103 train-auc:0.997832
[16] eval-auc:0.694167 train-auc:0.998429
[17] eval-auc:0.694478 train-auc:0.998735
[18] eval-auc:0.691965 train-auc:0.998963
[19] eval-auc:0.692119 train-auc:0.999037
[20] eval-auc:0.691029 train-auc:0.999196
[21] eval-auc:0.688417 train-auc:0.999313
[22] eval-auc:0.687697 train-auc:0.999391
[23] eval-auc:0.684588 train-auc:0.999612
[24] eval-auc:0.685314 train-auc:0.999676
[25] eval-auc:0.684477 train-auc:0.999769
[26] eval-auc:0.68405 train-auc:0.999774
[27] eval-auc:0.683924 train-auc:0.999785
[28] eval-auc:0.686767 train-auc:0.999828
[29] eval-auc:0.686714 train-auc:0.999828
[30] eval-auc:0.684046 train-auc:0.999853
[31] eval-auc:0.683469 train-auc:0.999902
[32] eval-auc:0.684353 train-auc:0.999919
[33] eval-auc:0.685543 train-auc:0.99994
[34] eval-auc:0.685232 train-auc:0.99993
[35] eval-auc:0.687202 train-auc:0.999906
[36] eval-auc:0.686978 train-auc:0.999952
[37] eval-auc:0.686554 train-auc:0.999953
[38] eval-auc:0.686389 train-auc:0.999975
[39] eval-auc:0.686231 train-auc:0.999971
[40] eval-auc:0.686417 train-auc:0.999978
[41] eval-auc:0.685635 train-auc:0.999979
[42] eval-auc:0.685005 train-auc:0.999984
[43] eval-auc:0.685235 train-auc:0.999985
[44] eval-auc:0.686214 train-auc:0.999986
[45] eval-auc:0.684871 train-auc:0.999992
[46] eval-auc:0.684364 train-auc:0.999992
[47] eval-auc:0.68626 train-auc:0.999993
[48] eval-auc:0.685576 train-auc:0.999997
[49] eval-auc:0.686802 train-auc:0.999994
[50] eval-auc:0.687792 train-auc:0.999998
[51] eval-auc:0.686435 train-auc:0.999999
[52] eval-auc:0.685625 train-auc:1
[53] eval-auc:0.685507 train-auc:1
[54] eval-auc:0.686234 train-auc:1
[55] eval-auc:0.68676 train-auc:1
[56] eval-auc:0.685493 train-auc:1
[57] eval-auc:0.688227 train-auc:1
[58] eval-auc:0.687769 train-auc:1
[59] eval-auc:0.687262 train-auc:1
[60] eval-auc:0.687664 train-auc:1
[61] eval-auc:0.688535 train-auc:1
[62] eval-auc:0.689188 train-auc:1
[63] eval-auc:0.688381 train-auc:1
[64] eval-auc:0.687616 train-auc:1
[65] eval-auc:0.688419 train-auc:1
[66] eval-auc:0.687798 train-auc:1
[67] eval-auc:0.687304 train-auc:1
[68] eval-auc:0.687606 train-auc:1
[69] eval-auc:0.688178 train-auc:1
[70] eval-auc:0.687883 train-auc:1
[71] eval-auc:0.687524 train-auc:1
[72] eval-auc:0.687356 train-auc:1
[73] eval-auc:0.686525 train-auc:1
[74] eval-auc:0.686072 train-auc:1
[75] eval-auc:0.684597 train-auc:1
[76] eval-auc:0.684763 train-auc:1
[77] eval-auc:0.684455 train-auc:1
[78] eval-auc:0.687125 train-auc:1
[79] eval-auc:0.688085 train-auc:1
[80] eval-auc:0.690741 train-auc:1
[81] eval-auc:0.690901 train-auc:1
[82] eval-auc:0.691151 train-auc:1
[83] eval-auc:0.691005 train-auc:1
[84] eval-auc:0.691282 train-auc:1
[85] eval-auc:0.691499 train-auc:1
[86] eval-auc:0.691101 train-auc:1
[87] eval-auc:0.691047 train-auc:1
[88] eval-auc:0.691055 train-auc:1
[89] eval-auc:0.690688 train-auc:1
[90] eval-auc:0.690134 train-auc:1
[91] eval-auc:0.690526 train-auc:1
[92] eval-auc:0.690074 train-auc:1
[93] eval-auc:0.690421 train-auc:1
[94] eval-auc:0.690147 train-auc:1
[95] eval-auc:0.689252 train-auc:1
[96] eval-auc:0.689298 train-auc:1
[97] eval-auc:0.689881 train-auc:1
[98] eval-auc:0.690587 train-auc:1
[99] eval-auc:0.690635 train-auc:1
[100] eval-auc:0.690537 train-auc:1
[101] eval-auc:0.690606 train-auc:1
[102] eval-auc:0.690912 train-auc:1
[103] eval-auc:0.690533 train-auc:1
[104] eval-auc:0.690348 train-auc:1
[105] eval-auc:0.690435 train-auc:1
[106] eval-auc:0.690435 train-auc:1
[107] eval-auc:0.690438 train-auc:1
[108] eval-auc:0.690516 train-auc:1
[109] eval-auc:0.69031 train-auc:1
[110] eval-auc:0.690354 train-auc:1
[111] eval-auc:0.690246 train-auc:1
[112] eval-auc:0.68975 train-auc:1
[113] eval-auc:0.689815 train-auc:1
[114] eval-auc:0.68996 train-auc:1
[115] eval-auc:0.690435 train-auc:1
[116] eval-auc:0.690234 train-auc:1
[117] eval-auc:0.690374 train-auc:1
[118] eval-auc:0.690278 train-auc:1
[119] eval-auc:0.690429 train-auc:1
[120] eval-auc:0.690456 train-auc:1
[121] eval-auc:0.690752 train-auc:1
[122] eval-auc:0.690298 train-auc:1
[123] eval-auc:0.690353 train-auc:1
[124] eval-auc:0.690603 train-auc:1
[125] eval-auc:0.690839 train-auc:1
[126] eval-auc:0.690354 train-auc:1
[127] eval-auc:0.690225 train-auc:1
[128] eval-auc:0.689925 train-auc:1
[129] eval-auc:0.689253 train-auc:1
[130] eval-auc:0.689823 train-auc:1
[131] eval-auc:0.68975 train-auc:1
[132] eval-auc:0.689899 train-auc:1
[133] eval-auc:0.68986 train-auc:1
[134] eval-auc:0.690071 train-auc:1
[135] eval-auc:0.689008 train-auc:1
[136] eval-auc:0.689008 train-auc:1
[137] eval-auc:0.689048 train-auc:1
[138] eval-auc:0.688588 train-auc:1
[139] eval-auc:0.688931 train-auc:1
[140] eval-auc:0.689366 train-auc:1
[141] eval-auc:0.689234 train-auc:1
[142] eval-auc:0.689398 train-auc:1
[143] eval-auc:0.689395 train-auc:1
[144] eval-auc:0.689343 train-auc:1
[145] eval-auc:0.68952 train-auc:1
[146] eval-auc:0.68926 train-auc:1
[147] eval-auc:0.690071 train-auc:1
[148] eval-auc:0.689986 train-auc:1
[149] eval-auc:0.68987 train-auc:1
[150] eval-auc:0.689893 train-auc:1
[151] eval-auc:0.689451 train-auc:1
[152] eval-auc:0.689461 train-auc:1
[153] eval-auc:0.689474 train-auc:1
[154] eval-auc:0.689474 train-auc:1
[155] eval-auc:0.689017 train-auc:1
[156] eval-auc:0.688685 train-auc:1
[157] eval-auc:0.689477 train-auc:1
[158] eval-auc:0.689141 train-auc:1
[159] eval-auc:0.689095 train-auc:1
[160] eval-auc:0.689095 train-auc:1
[161] eval-auc:0.688617 train-auc:1
[162] eval-auc:0.688357 train-auc:1
[163] eval-auc:0.688357 train-auc:1
[164] eval-auc:0.688357 train-auc:1
[165] eval-auc:0.688357 train-auc:1
[166] eval-auc:0.688341 train-auc:1
[167] eval-auc:0.688114 train-auc:1
[168] eval-auc:0.688251 train-auc:1
[169] eval-auc:0.688553 train-auc:1
[170] eval-auc:0.688497 train-auc:1
[171] eval-auc:0.688398 train-auc:1
[172] eval-auc:0.690534 train-auc:1
[173] eval-auc:0.690537 train-auc:1
[174] eval-auc:0.690432 train-auc:1
[175] eval-auc:0.690271 train-auc:1
[176] eval-auc:0.690271 train-auc:1
[177] eval-auc:0.690172 train-auc:1
[178] eval-auc:0.690172 train-auc:1
[179] eval-auc:0.690141 train-auc:1
[180] eval-auc:0.690141 train-auc:1
[181] eval-auc:0.690268 train-auc:1
[182] eval-auc:0.690126 train-auc:1
[183] eval-auc:0.690214 train-auc:1
[184] eval-auc:0.690389 train-auc:1
[185] eval-auc:0.690822 train-auc:1
[186] eval-auc:0.690854 train-auc:1
[187] eval-auc:0.690854 train-auc:1
[188] eval-auc:0.69066 train-auc:1
[189] eval-auc:0.690517 train-auc:1
[190] eval-auc:0.690517 train-auc:1
[191] eval-auc:0.690534 train-auc:1
[192] eval-auc:0.690668 train-auc:1
[193] eval-auc:0.690635 train-auc:1
[194] eval-auc:0.690635 train-auc:1
[195] eval-auc:0.690502 train-auc:1
[196] eval-auc:0.690144 train-auc:1
[197] eval-auc:0.690054 train-auc:1
[198] eval-auc:0.690166 train-auc:1
Score 0.6901663133915628
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.5, 'eta': 0.1, 'eval_metric': 'auc', 'gamma': 0.7000000000000001, 'max_depth': 4, 'min_child_weight': 2.0, 'n_estimators': 792.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.8, 'tree_method': 'exact'}
[0] eval-auc:0.552675 train-auc:0.582225
[1] eval-auc:0.666926 train-auc:0.704393
[2] eval-auc:0.649923 train-auc:0.712552
[3] eval-auc:0.660522 train-auc:0.734942
[4] eval-auc:0.657801 train-auc:0.735425
[5] eval-auc:0.669465 train-auc:0.753031
[6] eval-auc:0.668945 train-auc:0.754426
[7] eval-auc:0.664083 train-auc:0.754805
[8] eval-auc:0.67733 train-auc:0.760972
[9] eval-auc:0.682231 train-auc:0.760193
[10] eval-auc:0.684317 train-auc:0.766161
[11] eval-auc:0.684131 train-auc:0.770638
[12] eval-auc:0.687764 train-auc:0.772734
[13] eval-auc:0.689139 train-auc:0.773366
[14] eval-auc:0.689896 train-auc:0.772633
[15] eval-auc:0.691937 train-auc:0.775877
[16] eval-auc:0.691684 train-auc:0.777607
[17] eval-auc:0.697638 train-auc:0.780725
[18] eval-auc:0.697192 train-auc:0.784495
[19] eval-auc:0.701378 train-auc:0.791146
[20] eval-auc:0.700856 train-auc:0.792029
[21] eval-auc:0.701339 train-auc:0.794117
[22] eval-auc:0.702373 train-auc:0.79557
[23] eval-auc:0.701746 train-auc:0.794869
[24] eval-auc:0.700738 train-auc:0.797232
[25] eval-auc:0.699764 train-auc:0.799634
[26] eval-auc:0.699345 train-auc:0.801342
[27] eval-auc:0.698914 train-auc:0.80176
[28] eval-auc:0.69945 train-auc:0.801654
[29] eval-auc:0.699343 train-auc:0.801976
[30] eval-auc:0.698327 train-auc:0.802662
[31] eval-auc:0.697886 train-auc:0.803219
[32] eval-auc:0.698626 train-auc:0.804121
[33] eval-auc:0.698921 train-auc:0.804794
[34] eval-auc:0.698067 train-auc:0.806878
[35] eval-auc:0.69943 train-auc:0.809633
[36] eval-auc:0.699797 train-auc:0.810752
[37] eval-auc:0.70035 train-auc:0.811343
[38] eval-auc:0.699643 train-auc:0.812137
[39] eval-auc:0.699645 train-auc:0.814034
[40] eval-auc:0.700103 train-auc:0.815874
[41] eval-auc:0.701116 train-auc:0.81873
[42] eval-auc:0.701437 train-auc:0.819282
[43] eval-auc:0.701973 train-auc:0.820773
[44] eval-auc:0.701326 train-auc:0.823005
[45] eval-auc:0.702492 train-auc:0.823718
[46] eval-auc:0.703052 train-auc:0.825994
[47] eval-auc:0.703272 train-auc:0.82818
[48] eval-auc:0.703511 train-auc:0.828881
[49] eval-auc:0.704887 train-auc:0.831378
[50] eval-auc:0.703637 train-auc:0.83276
[51] eval-auc:0.703884 train-auc:0.832883
[52] eval-auc:0.705125 train-auc:0.835442
[53] eval-auc:0.7052 train-auc:0.837256
[54] eval-auc:0.704805 train-auc:0.838317
[55] eval-auc:0.705845 train-auc:0.840106
[56] eval-auc:0.706305 train-auc:0.841684
[57] eval-auc:0.706533 train-auc:0.843791
[58] eval-auc:0.707013 train-auc:0.844142
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[600] eval-auc:0.688322 train-auc:0.995128
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[605] eval-auc:0.689014 train-auc:0.995218
[606] eval-auc:0.688902 train-auc:0.99523
[607] eval-auc:0.688794 train-auc:0.995305
[608] eval-auc:0.688708 train-auc:0.995269
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[610] eval-auc:0.688813 train-auc:0.995295
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[618] eval-auc:0.688382 train-auc:0.995479
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[624] eval-auc:0.688245 train-auc:0.995688
[625] eval-auc:0.688251 train-auc:0.995757
[626] eval-auc:0.688105 train-auc:0.995769
[627] eval-auc:0.687926 train-auc:0.995807
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[629] eval-auc:0.688376 train-auc:0.995813
[630] eval-auc:0.688618 train-auc:0.995902
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[633] eval-auc:0.688789 train-auc:0.995927
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[638] eval-auc:0.689084 train-auc:0.996029
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[640] eval-auc:0.689304 train-auc:0.996051
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[645] eval-auc:0.68876 train-auc:0.996157
[646] eval-auc:0.688663 train-auc:0.996154
[647] eval-auc:0.688713 train-auc:0.996145
[648] eval-auc:0.688806 train-auc:0.996143
[649] eval-auc:0.68857 train-auc:0.996194
[650] eval-auc:0.68871 train-auc:0.996188
[651] eval-auc:0.689113 train-auc:0.996177
[652] eval-auc:0.689162 train-auc:0.996172
[653] eval-auc:0.689369 train-auc:0.996169
[654] eval-auc:0.68908 train-auc:0.99622
[655] eval-auc:0.68934 train-auc:0.996225
[656] eval-auc:0.689725 train-auc:0.99629
[657] eval-auc:0.689625 train-auc:0.996319
[658] eval-auc:0.689454 train-auc:0.996332
[659] eval-auc:0.689256 train-auc:0.996334
[660] eval-auc:0.689146 train-auc:0.996357
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[662] eval-auc:0.688851 train-auc:0.996394
[663] eval-auc:0.68908 train-auc:0.996389
[664] eval-auc:0.68872 train-auc:0.9964
[665] eval-auc:0.688551 train-auc:0.996446
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[668] eval-auc:0.687932 train-auc:0.996539
[669] eval-auc:0.687955 train-auc:0.996609
[670] eval-auc:0.688245 train-auc:0.996655
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[673] eval-auc:0.688192 train-auc:0.996808
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[676] eval-auc:0.688783 train-auc:0.996854
[677] eval-auc:0.689174 train-auc:0.996882
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[679] eval-auc:0.689266 train-auc:0.996938
[680] eval-auc:0.688876 train-auc:0.996968
[681] eval-auc:0.68931 train-auc:0.996977
[682] eval-auc:0.68968 train-auc:0.996987
[683] eval-auc:0.689199 train-auc:0.99698
[684] eval-auc:0.689154 train-auc:0.996984
[685] eval-auc:0.689148 train-auc:0.996993
[686] eval-auc:0.689062 train-auc:0.997008
[687] eval-auc:0.689142 train-auc:0.99703
[688] eval-auc:0.688961 train-auc:0.997047
[689] eval-auc:0.68915 train-auc:0.997034
[690] eval-auc:0.689115 train-auc:0.997036
[691] eval-auc:0.688833 train-auc:0.997061
[692] eval-auc:0.688897 train-auc:0.997089
[693] eval-auc:0.688816 train-auc:0.997124
[694] eval-auc:0.688716 train-auc:0.997141
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[696] eval-auc:0.689138 train-auc:0.997142
[697] eval-auc:0.689089 train-auc:0.997153
[698] eval-auc:0.688912 train-auc:0.997161
[699] eval-auc:0.68855 train-auc:0.997209
[700] eval-auc:0.688565 train-auc:0.997204
[701] eval-auc:0.688389 train-auc:0.997195
[702] eval-auc:0.688404 train-auc:0.997224
[703] eval-auc:0.688019 train-auc:0.997263
[704] eval-auc:0.687709 train-auc:0.997263
[705] eval-auc:0.687697 train-auc:0.997261
[706] eval-auc:0.687755 train-auc:0.997282
[707] eval-auc:0.688014 train-auc:0.997286
[708] eval-auc:0.687636 train-auc:0.99732
[709] eval-auc:0.688465 train-auc:0.997338
[710] eval-auc:0.688682 train-auc:0.997358
[711] eval-auc:0.688699 train-auc:0.997388
[712] eval-auc:0.688733 train-auc:0.997395
[713] eval-auc:0.688832 train-auc:0.9974
[714] eval-auc:0.688713 train-auc:0.99741
[715] eval-auc:0.688626 train-auc:0.997404
[716] eval-auc:0.688748 train-auc:0.997436
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[722] eval-auc:0.689199 train-auc:0.997472
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[725] eval-auc:0.689806 train-auc:0.997553
[726] eval-auc:0.689887 train-auc:0.997622
[727] eval-auc:0.689997 train-auc:0.997635
[728] eval-auc:0.69008 train-auc:0.99765
[729] eval-auc:0.690083 train-auc:0.997663
[730] eval-auc:0.690494 train-auc:0.997663
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[732] eval-auc:0.690351 train-auc:0.9977
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[738] eval-auc:0.690181 train-auc:0.997755
[739] eval-auc:0.690196 train-auc:0.997756
[740] eval-auc:0.690181 train-auc:0.997765
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[743] eval-auc:0.68929 train-auc:0.997807
[744] eval-auc:0.689444 train-auc:0.9978
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[748] eval-auc:0.689366 train-auc:0.997867
[749] eval-auc:0.689494 train-auc:0.997881
[750] eval-auc:0.689791 train-auc:0.997874
[751] eval-auc:0.689617 train-auc:0.997884
[752] eval-auc:0.689273 train-auc:0.997894
[753] eval-auc:0.689199 train-auc:0.997937
[754] eval-auc:0.689209 train-auc:0.997932
[755] eval-auc:0.689313 train-auc:0.997935
[756] eval-auc:0.689447 train-auc:0.997947
[757] eval-auc:0.689515 train-auc:0.997948
[758] eval-auc:0.689598 train-auc:0.99796
[759] eval-auc:0.689864 train-auc:0.997969
[760] eval-auc:0.689879 train-auc:0.998005
[761] eval-auc:0.690032 train-auc:0.998035
[762] eval-auc:0.690019 train-auc:0.998051
[763] eval-auc:0.689916 train-auc:0.998055
[764] eval-auc:0.690009 train-auc:0.998058
[765] eval-auc:0.690194 train-auc:0.998057
[766] eval-auc:0.690368 train-auc:0.998053
[767] eval-auc:0.69051 train-auc:0.998071
[768] eval-auc:0.690222 train-auc:0.998066
[769] eval-auc:0.6903 train-auc:0.99807
[770] eval-auc:0.6901 train-auc:0.998092
[771] eval-auc:0.690437 train-auc:0.998121
[772] eval-auc:0.690394 train-auc:0.998086
[773] eval-auc:0.69038 train-auc:0.99806
[774] eval-auc:0.690706 train-auc:0.998088
[775] eval-auc:0.69058 train-auc:0.998079
[776] eval-auc:0.690697 train-auc:0.998083
[777] eval-auc:0.690568 train-auc:0.998113
[778] eval-auc:0.690639 train-auc:0.998124
[779] eval-auc:0.691419 train-auc:0.99811
[780] eval-auc:0.691647 train-auc:0.998175
[781] eval-auc:0.691535 train-auc:0.998177
[782] eval-auc:0.691486 train-auc:0.998217
[783] eval-auc:0.691565 train-auc:0.998248
[784] eval-auc:0.691501 train-auc:0.998308
[785] eval-auc:0.691678 train-auc:0.998328
[786] eval-auc:0.691743 train-auc:0.998332
[787] eval-auc:0.691611 train-auc:0.99833
[788] eval-auc:0.691292 train-auc:0.998376
[789] eval-auc:0.690814 train-auc:0.998365
[790] eval-auc:0.690811 train-auc:0.998361
[791] eval-auc:0.690507 train-auc:0.998372
Score 0.6905066452265225
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9500000000000001, 'eta': 0.2, 'eval_metric': 'auc', 'gamma': 0.65, 'max_depth': 6, 'min_child_weight': 2.0, 'n_estimators': 338.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.708146 train-auc:0.775882
[1] eval-auc:0.688232 train-auc:0.807046
[2] eval-auc:0.69802 train-auc:0.841296
[3] eval-auc:0.690236 train-auc:0.850716
[4] eval-auc:0.691142 train-auc:0.865516
[5] eval-auc:0.688482 train-auc:0.878809
[6] eval-auc:0.692638 train-auc:0.895653
[7] eval-auc:0.693583 train-auc:0.89874
[8] eval-auc:0.694433 train-auc:0.907583
[9] eval-auc:0.691496 train-auc:0.914532
[10] eval-auc:0.692674 train-auc:0.919738
[11] eval-auc:0.692583 train-auc:0.922182
[12] eval-auc:0.688702 train-auc:0.925366
[13] eval-auc:0.686195 train-auc:0.932298
[14] eval-auc:0.687409 train-auc:0.936484
[15] eval-auc:0.685298 train-auc:0.939635
[16] eval-auc:0.685925 train-auc:0.942034
[17] eval-auc:0.686089 train-auc:0.942265
[18] eval-auc:0.68668 train-auc:0.944333
[19] eval-auc:0.687282 train-auc:0.950781
[20] eval-auc:0.689326 train-auc:0.955057
[21] eval-auc:0.68909 train-auc:0.955917
[22] eval-auc:0.688901 train-auc:0.957088
[23] eval-auc:0.691828 train-auc:0.961742
[24] eval-auc:0.693574 train-auc:0.96343
[25] eval-auc:0.695793 train-auc:0.965884
[26] eval-auc:0.696565 train-auc:0.967629
[27] eval-auc:0.69764 train-auc:0.968166
[28] eval-auc:0.697507 train-auc:0.970687
[29] eval-auc:0.698579 train-auc:0.971515
[30] eval-auc:0.699036 train-auc:0.972707
[31] eval-auc:0.699647 train-auc:0.973531
[32] eval-auc:0.699505 train-auc:0.973835
[33] eval-auc:0.699198 train-auc:0.973899
[34] eval-auc:0.696548 train-auc:0.976039
[35] eval-auc:0.696984 train-auc:0.97664
[36] eval-auc:0.695228 train-auc:0.977416
[37] eval-auc:0.696422 train-auc:0.97864
[38] eval-auc:0.697281 train-auc:0.980756
[39] eval-auc:0.698047 train-auc:0.981422
[40] eval-auc:0.697333 train-auc:0.982995
[41] eval-auc:0.697169 train-auc:0.983908
[42] eval-auc:0.696197 train-auc:0.9849
[43] eval-auc:0.695617 train-auc:0.985295
[44] eval-auc:0.696235 train-auc:0.985528
[45] eval-auc:0.694894 train-auc:0.986558
[46] eval-auc:0.695357 train-auc:0.986792
[47] eval-auc:0.695255 train-auc:0.98754
[48] eval-auc:0.694105 train-auc:0.98833
[49] eval-auc:0.694364 train-auc:0.988646
[50] eval-auc:0.693583 train-auc:0.989805
[51] eval-auc:0.692137 train-auc:0.99015
[52] eval-auc:0.691892 train-auc:0.990119
[53] eval-auc:0.691172 train-auc:0.990517
[54] eval-auc:0.690368 train-auc:0.991031
[55] eval-auc:0.689732 train-auc:0.991119
[56] eval-auc:0.690283 train-auc:0.991813
[57] eval-auc:0.688938 train-auc:0.992104
[58] eval-auc:0.688893 train-auc:0.992319
[59] eval-auc:0.688311 train-auc:0.992564
[60] eval-auc:0.688439 train-auc:0.993173
[61] eval-auc:0.689215 train-auc:0.993281
[62] eval-auc:0.689334 train-auc:0.993419
[63] eval-auc:0.689199 train-auc:0.993502
[64] eval-auc:0.689515 train-auc:0.99353
[65] eval-auc:0.690012 train-auc:0.99373
[66] eval-auc:0.690508 train-auc:0.993769
[67] eval-auc:0.693173 train-auc:0.994408
[68] eval-auc:0.694842 train-auc:0.994932
[69] eval-auc:0.695213 train-auc:0.994991
[70] eval-auc:0.69652 train-auc:0.995108
[71] eval-auc:0.69578 train-auc:0.995129
[72] eval-auc:0.695594 train-auc:0.995348
[73] eval-auc:0.695786 train-auc:0.995648
[74] eval-auc:0.695553 train-auc:0.995829
[75] eval-auc:0.694793 train-auc:0.995886
[76] eval-auc:0.696535 train-auc:0.996317
[77] eval-auc:0.69632 train-auc:0.996326
[78] eval-auc:0.695124 train-auc:0.996569
[79] eval-auc:0.695052 train-auc:0.99658
[80] eval-auc:0.694146 train-auc:0.996932
[81] eval-auc:0.693205 train-auc:0.997017
[82] eval-auc:0.692951 train-auc:0.997092
[83] eval-auc:0.691244 train-auc:0.99733
[84] eval-auc:0.690574 train-auc:0.997451
[85] eval-auc:0.690659 train-auc:0.99763
[86] eval-auc:0.690258 train-auc:0.997647
[87] eval-auc:0.688114 train-auc:0.997915
[88] eval-auc:0.687982 train-auc:0.998064
[89] eval-auc:0.686534 train-auc:0.998196
[90] eval-auc:0.686123 train-auc:0.998209
[91] eval-auc:0.685635 train-auc:0.998222
[92] eval-auc:0.685034 train-auc:0.99855
[93] eval-auc:0.684422 train-auc:0.99858
[94] eval-auc:0.684716 train-auc:0.998642
[95] eval-auc:0.684032 train-auc:0.998735
[96] eval-auc:0.683708 train-auc:0.998751
[97] eval-auc:0.684481 train-auc:0.998825
[98] eval-auc:0.683895 train-auc:0.998817
[99] eval-auc:0.683851 train-auc:0.998819
[100] eval-auc:0.684504 train-auc:0.998836
[101] eval-auc:0.684489 train-auc:0.998836
[102] eval-auc:0.683951 train-auc:0.999028
[103] eval-auc:0.684151 train-auc:0.999072
[104] eval-auc:0.683717 train-auc:0.99911
[105] eval-auc:0.682859 train-auc:0.999126
[106] eval-auc:0.68236 train-auc:0.99915
[107] eval-auc:0.682759 train-auc:0.999146
[108] eval-auc:0.683791 train-auc:0.999242
[109] eval-auc:0.683994 train-auc:0.999248
[110] eval-auc:0.683901 train-auc:0.999255
[111] eval-auc:0.683326 train-auc:0.999317
[112] eval-auc:0.685115 train-auc:0.999386
[113] eval-auc:0.685224 train-auc:0.999464
[114] eval-auc:0.684425 train-auc:0.999465
[115] eval-auc:0.684327 train-auc:0.999497
[116] eval-auc:0.684591 train-auc:0.999503
[117] eval-auc:0.684597 train-auc:0.999519
[118] eval-auc:0.685581 train-auc:0.999541
[119] eval-auc:0.684841 train-auc:0.999556
[120] eval-auc:0.684982 train-auc:0.999556
[121] eval-auc:0.685028 train-auc:0.999575
[122] eval-auc:0.685296 train-auc:0.999578
[123] eval-auc:0.685409 train-auc:0.999615
[124] eval-auc:0.685619 train-auc:0.999615
[125] eval-auc:0.685064 train-auc:0.999631
[126] eval-auc:0.685119 train-auc:0.999679
[127] eval-auc:0.684972 train-auc:0.99968
[128] eval-auc:0.685031 train-auc:0.999684
[129] eval-auc:0.685549 train-auc:0.999689
[130] eval-auc:0.686771 train-auc:0.999698
[131] eval-auc:0.686817 train-auc:0.999699
[132] eval-auc:0.68695 train-auc:0.999699
[133] eval-auc:0.686875 train-auc:0.999701
[134] eval-auc:0.686514 train-auc:0.999717
[135] eval-auc:0.687313 train-auc:0.999705
[136] eval-auc:0.686686 train-auc:0.999707
[137] eval-auc:0.686651 train-auc:0.999745
[138] eval-auc:0.687154 train-auc:0.99976
[139] eval-auc:0.687536 train-auc:0.999782
[140] eval-auc:0.687377 train-auc:0.999794
[141] eval-auc:0.687409 train-auc:0.999799
[142] eval-auc:0.687371 train-auc:0.999807
[143] eval-auc:0.687236 train-auc:0.999822
[144] eval-auc:0.687475 train-auc:0.999827
[145] eval-auc:0.686908 train-auc:0.999844
[146] eval-auc:0.6871 train-auc:0.999857
[147] eval-auc:0.687012 train-auc:0.999857
[148] eval-auc:0.68705 train-auc:0.999858
[149] eval-auc:0.687056 train-auc:0.999854
[150] eval-auc:0.687065 train-auc:0.999856
[151] eval-auc:0.686879 train-auc:0.999861
[152] eval-auc:0.686953 train-auc:0.999863
[153] eval-auc:0.686653 train-auc:0.999864
[154] eval-auc:0.68661 train-auc:0.99987
[155] eval-auc:0.687175 train-auc:0.999876
[156] eval-auc:0.686685 train-auc:0.99988
[157] eval-auc:0.685903 train-auc:0.999886
[158] eval-auc:0.686328 train-auc:0.999902
[159] eval-auc:0.686124 train-auc:0.999902
[160] eval-auc:0.685354 train-auc:0.999911
[161] eval-auc:0.685434 train-auc:0.999911
[162] eval-auc:0.685421 train-auc:0.999909
[163] eval-auc:0.685628 train-auc:0.999909
[164] eval-auc:0.685954 train-auc:0.99992
[165] eval-auc:0.685293 train-auc:0.999924
[166] eval-auc:0.685571 train-auc:0.999926
[167] eval-auc:0.686106 train-auc:0.999933
[168] eval-auc:0.685584 train-auc:0.999933
[169] eval-auc:0.68555 train-auc:0.99993
[170] eval-auc:0.68589 train-auc:0.999936
[171] eval-auc:0.68603 train-auc:0.999936
[172] eval-auc:0.685086 train-auc:0.999946
[173] eval-auc:0.685064 train-auc:0.999947
[174] eval-auc:0.685504 train-auc:0.999946
[175] eval-auc:0.685086 train-auc:0.999955
[176] eval-auc:0.684615 train-auc:0.999955
[177] eval-auc:0.68472 train-auc:0.999955
[178] eval-auc:0.684166 train-auc:0.999954
[179] eval-auc:0.683811 train-auc:0.999956
[180] eval-auc:0.684906 train-auc:0.999962
[181] eval-auc:0.68493 train-auc:0.999965
[182] eval-auc:0.684239 train-auc:0.99997
[183] eval-auc:0.684215 train-auc:0.99997
[184] eval-auc:0.684423 train-auc:0.99997
[185] eval-auc:0.684375 train-auc:0.99997
[186] eval-auc:0.68453 train-auc:0.99997
[187] eval-auc:0.684796 train-auc:0.999971
[188] eval-auc:0.684128 train-auc:0.999971
[189] eval-auc:0.684416 train-auc:0.999971
[190] eval-auc:0.684435 train-auc:0.999971
[191] eval-auc:0.684941 train-auc:0.999975
[192] eval-auc:0.685069 train-auc:0.999976
[193] eval-auc:0.685101 train-auc:0.999976
[194] eval-auc:0.685635 train-auc:0.999976
[195] eval-auc:0.685418 train-auc:0.999979
[196] eval-auc:0.685699 train-auc:0.99998
[197] eval-auc:0.684862 train-auc:0.99998
[198] eval-auc:0.683971 train-auc:0.999981
[199] eval-auc:0.683318 train-auc:0.99998
[200] eval-auc:0.683575 train-auc:0.999983
[201] eval-auc:0.68293 train-auc:0.999983
[202] eval-auc:0.683794 train-auc:0.999984
[203] eval-auc:0.683444 train-auc:0.999985
[204] eval-auc:0.683721 train-auc:0.999985
[205] eval-auc:0.683566 train-auc:0.999985
[206] eval-auc:0.683271 train-auc:0.999985
[207] eval-auc:0.683872 train-auc:0.999986
[208] eval-auc:0.683755 train-auc:0.999986
[209] eval-auc:0.683772 train-auc:0.999991
[210] eval-auc:0.683485 train-auc:0.999991
[211] eval-auc:0.683283 train-auc:0.999991
[212] eval-auc:0.682792 train-auc:0.999993
[213] eval-auc:0.682628 train-auc:0.999994
[214] eval-auc:0.682969 train-auc:0.999992
[215] eval-auc:0.682966 train-auc:0.999992
[216] eval-auc:0.682891 train-auc:0.999992
[217] eval-auc:0.683033 train-auc:0.999995
[218] eval-auc:0.682989 train-auc:0.999995
[219] eval-auc:0.682907 train-auc:0.999995
[220] eval-auc:0.682601 train-auc:0.999998
[221] eval-auc:0.682614 train-auc:0.999998
[222] eval-auc:0.682561 train-auc:0.999998
[223] eval-auc:0.681888 train-auc:0.999998
[224] eval-auc:0.681678 train-auc:0.999998
[225] eval-auc:0.681533 train-auc:0.999998
[226] eval-auc:0.681783 train-auc:0.999998
[227] eval-auc:0.682208 train-auc:0.999998
[228] eval-auc:0.681494 train-auc:0.999998
[229] eval-auc:0.680671 train-auc:0.999998
[230] eval-auc:0.680335 train-auc:0.999998
[231] eval-auc:0.680114 train-auc:0.999998
[232] eval-auc:0.680169 train-auc:0.999998
[233] eval-auc:0.679822 train-auc:0.999998
[234] eval-auc:0.679759 train-auc:0.999998
[235] eval-auc:0.679759 train-auc:0.999998
[236] eval-auc:0.679683 train-auc:0.999998
[237] eval-auc:0.679703 train-auc:0.999998
[238] eval-auc:0.679375 train-auc:0.999998
[239] eval-auc:0.679223 train-auc:0.999998
[240] eval-auc:0.680234 train-auc:0.999998
[241] eval-auc:0.680881 train-auc:0.999999
[242] eval-auc:0.681422 train-auc:0.999999
[243] eval-auc:0.681169 train-auc:0.999999
[244] eval-auc:0.681279 train-auc:1
[245] eval-auc:0.680878 train-auc:1
[246] eval-auc:0.680842 train-auc:1
[247] eval-auc:0.680811 train-auc:0.999999
[248] eval-auc:0.680565 train-auc:0.999999
[249] eval-auc:0.680536 train-auc:0.999999
[250] eval-auc:0.68054 train-auc:0.999999
[251] eval-auc:0.680615 train-auc:0.999999
[252] eval-auc:0.680297 train-auc:0.999999
[253] eval-auc:0.680192 train-auc:0.999999
[254] eval-auc:0.680426 train-auc:1
[255] eval-auc:0.680673 train-auc:1
[256] eval-auc:0.680939 train-auc:1
[257] eval-auc:0.68111 train-auc:1
[258] eval-auc:0.681072 train-auc:1
[259] eval-auc:0.680648 train-auc:1
[260] eval-auc:0.680866 train-auc:1
[261] eval-auc:0.680959 train-auc:1
[262] eval-auc:0.681283 train-auc:1
[263] eval-auc:0.681283 train-auc:1
[264] eval-auc:0.6812 train-auc:1
[265] eval-auc:0.68116 train-auc:1
[266] eval-auc:0.680717 train-auc:1
[267] eval-auc:0.680869 train-auc:1
[268] eval-auc:0.680799 train-auc:1
[269] eval-auc:0.680097 train-auc:1
[270] eval-auc:0.680601 train-auc:1
[271] eval-auc:0.680912 train-auc:1
[272] eval-auc:0.680796 train-auc:1
[273] eval-auc:0.680422 train-auc:1
[274] eval-auc:0.680502 train-auc:1
[275] eval-auc:0.680449 train-auc:1
[276] eval-auc:0.680137 train-auc:1
[277] eval-auc:0.681446 train-auc:1
[278] eval-auc:0.681494 train-auc:1
[279] eval-auc:0.681663 train-auc:1
[280] eval-auc:0.681455 train-auc:1
[281] eval-auc:0.681323 train-auc:1
[282] eval-auc:0.681116 train-auc:1
[283] eval-auc:0.681556 train-auc:1
[284] eval-auc:0.681871 train-auc:1
[285] eval-auc:0.682295 train-auc:1
[286] eval-auc:0.682077 train-auc:1
[287] eval-auc:0.682034 train-auc:1
[288] eval-auc:0.681952 train-auc:1
[289] eval-auc:0.682036 train-auc:1
[290] eval-auc:0.682086 train-auc:1
[291] eval-auc:0.682086 train-auc:1
[292] eval-auc:0.682086 train-auc:1
[293] eval-auc:0.682086 train-auc:1
[294] eval-auc:0.682086 train-auc:1
[295] eval-auc:0.682086 train-auc:1
[296] eval-auc:0.682086 train-auc:1
[297] eval-auc:0.682086 train-auc:1
[298] eval-auc:0.682086 train-auc:1
[299] eval-auc:0.682086 train-auc:1
[300] eval-auc:0.682086 train-auc:1
[301] eval-auc:0.682086 train-auc:1
[302] eval-auc:0.682086 train-auc:1
[303] eval-auc:0.682086 train-auc:1
[304] eval-auc:0.682086 train-auc:1
[305] eval-auc:0.682547 train-auc:1
[306] eval-auc:0.682547 train-auc:1
[307] eval-auc:0.682547 train-auc:1
[308] eval-auc:0.682547 train-auc:1
[309] eval-auc:0.682547 train-auc:1
[310] eval-auc:0.682547 train-auc:1
[311] eval-auc:0.682547 train-auc:1
[312] eval-auc:0.682319 train-auc:1
[313] eval-auc:0.682319 train-auc:1
[314] eval-auc:0.682319 train-auc:1
[315] eval-auc:0.682319 train-auc:1
[316] eval-auc:0.682319 train-auc:1
[317] eval-auc:0.682322 train-auc:1
[318] eval-auc:0.682322 train-auc:1
[319] eval-auc:0.682322 train-auc:1
[320] eval-auc:0.682322 train-auc:1
[321] eval-auc:0.682322 train-auc:1
[322] eval-auc:0.682322 train-auc:1
[323] eval-auc:0.682322 train-auc:1
[324] eval-auc:0.682322 train-auc:1
[325] eval-auc:0.682322 train-auc:1
[326] eval-auc:0.682322 train-auc:1
[327] eval-auc:0.682322 train-auc:1
[328] eval-auc:0.682322 train-auc:1
[329] eval-auc:0.682322 train-auc:1
[330] eval-auc:0.682322 train-auc:1
[331] eval-auc:0.682322 train-auc:1
[332] eval-auc:0.682322 train-auc:1
[333] eval-auc:0.682322 train-auc:1
[334] eval-auc:0.682322 train-auc:1
[335] eval-auc:0.682322 train-auc:1
[336] eval-auc:0.682214 train-auc:1
[337] eval-auc:0.682214 train-auc:1
Score 0.6822138167111307
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9500000000000001, 'eta': 0.07500000000000001, 'eval_metric': 'auc', 'gamma': 0.8, 'max_depth': 13, 'min_child_weight': 4.0, 'n_estimators': 380.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9, 'tree_method': 'exact'}
[0] eval-auc:0.705521 train-auc:0.890373
[1] eval-auc:0.677512 train-auc:0.933872
[2] eval-auc:0.692734 train-auc:0.957887
[3] eval-auc:0.694814 train-auc:0.974616
[4] eval-auc:0.697689 train-auc:0.981315
[5] eval-auc:0.685604 train-auc:0.987112
[6] eval-auc:0.685252 train-auc:0.988428
[7] eval-auc:0.69176 train-auc:0.991136
[8] eval-auc:0.698583 train-auc:0.992755
[9] eval-auc:0.695465 train-auc:0.994776
[10] eval-auc:0.694562 train-auc:0.99592
[11] eval-auc:0.699299 train-auc:0.9968
[12] eval-auc:0.700295 train-auc:0.997596
[13] eval-auc:0.70179 train-auc:0.998133
[14] eval-auc:0.701183 train-auc:0.998542
[15] eval-auc:0.700851 train-auc:0.998887
[16] eval-auc:0.702213 train-auc:0.999138
[17] eval-auc:0.701915 train-auc:0.999247
[18] eval-auc:0.702116 train-auc:0.999319
[19] eval-auc:0.70096 train-auc:0.999349
[20] eval-auc:0.700598 train-auc:0.999424
[21] eval-auc:0.701617 train-auc:0.999545
[22] eval-auc:0.699534 train-auc:0.999603
[23] eval-auc:0.700492 train-auc:0.999648
[24] eval-auc:0.699811 train-auc:0.999718
[25] eval-auc:0.6995 train-auc:0.999766
[26] eval-auc:0.700694 train-auc:0.999799
[27] eval-auc:0.702026 train-auc:0.99981
[28] eval-auc:0.702293 train-auc:0.999828
[29] eval-auc:0.703681 train-auc:0.999848
[30] eval-auc:0.703052 train-auc:0.999853
[31] eval-auc:0.703011 train-auc:0.999863
[32] eval-auc:0.703581 train-auc:0.999919
[33] eval-auc:0.703664 train-auc:0.99993
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[150] eval-auc:0.69984 train-auc:1
[151] eval-auc:0.699529 train-auc:1
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[154] eval-auc:0.700478 train-auc:1
[155] eval-auc:0.70065 train-auc:1
[156] eval-auc:0.700982 train-auc:1
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[159] eval-auc:0.700561 train-auc:1
[160] eval-auc:0.700418 train-auc:1
[161] eval-auc:0.700589 train-auc:1
[162] eval-auc:0.700697 train-auc:1
[163] eval-auc:0.700369 train-auc:1
[164] eval-auc:0.700727 train-auc:1
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[166] eval-auc:0.70112 train-auc:1
[167] eval-auc:0.700943 train-auc:1
[168] eval-auc:0.700799 train-auc:1
[169] eval-auc:0.700697 train-auc:1
[170] eval-auc:0.700884 train-auc:1
[171] eval-auc:0.700756 train-auc:1
[172] eval-auc:0.700622 train-auc:1
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[174] eval-auc:0.701382 train-auc:1
[175] eval-auc:0.701317 train-auc:1
[176] eval-auc:0.701435 train-auc:1
[177] eval-auc:0.701854 train-auc:1
[178] eval-auc:0.701781 train-auc:1
[179] eval-auc:0.701871 train-auc:1
[180] eval-auc:0.701434 train-auc:1
[181] eval-auc:0.701728 train-auc:1
[182] eval-auc:0.701743 train-auc:1
[183] eval-auc:0.701738 train-auc:1
[184] eval-auc:0.702201 train-auc:1
[185] eval-auc:0.702046 train-auc:1
[186] eval-auc:0.702019 train-auc:1
[187] eval-auc:0.702111 train-auc:1
[188] eval-auc:0.702114 train-auc:1
[189] eval-auc:0.702285 train-auc:1
[190] eval-auc:0.702626 train-auc:1
[191] eval-auc:0.702759 train-auc:1
[192] eval-auc:0.702681 train-auc:1
[193] eval-auc:0.702855 train-auc:1
[194] eval-auc:0.703054 train-auc:1
[195] eval-auc:0.703101 train-auc:1
[196] eval-auc:0.703293 train-auc:1
[197] eval-auc:0.70347 train-auc:1
[198] eval-auc:0.703946 train-auc:1
[199] eval-auc:0.70389 train-auc:1
[200] eval-auc:0.703791 train-auc:1
[201] eval-auc:0.70362 train-auc:1
[202] eval-auc:0.703421 train-auc:1
[203] eval-auc:0.703911 train-auc:1
[204] eval-auc:0.703954 train-auc:1
[205] eval-auc:0.703879 train-auc:1
[206] eval-auc:0.703776 train-auc:1
[207] eval-auc:0.703718 train-auc:1
[208] eval-auc:0.703464 train-auc:1
[209] eval-auc:0.703349 train-auc:1
[210] eval-auc:0.703349 train-auc:1
[211] eval-auc:0.703476 train-auc:1
[212] eval-auc:0.703103 train-auc:1
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[214] eval-auc:0.703127 train-auc:1
[215] eval-auc:0.703436 train-auc:1
[216] eval-auc:0.703387 train-auc:1
[217] eval-auc:0.70341 train-auc:1
[218] eval-auc:0.703307 train-auc:1
[219] eval-auc:0.703311 train-auc:1
[220] eval-auc:0.703266 train-auc:1
[221] eval-auc:0.703238 train-auc:1
[222] eval-auc:0.703144 train-auc:1
[223] eval-auc:0.702824 train-auc:1
[224] eval-auc:0.702925 train-auc:1
[225] eval-auc:0.702855 train-auc:1
[226] eval-auc:0.702596 train-auc:1
[227] eval-auc:0.702608 train-auc:1
[228] eval-auc:0.702398 train-auc:1
[229] eval-auc:0.702344 train-auc:1
[230] eval-auc:0.702344 train-auc:1
[231] eval-auc:0.702131 train-auc:1
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[233] eval-auc:0.702279 train-auc:1
[234] eval-auc:0.702133 train-auc:1
[235] eval-auc:0.702381 train-auc:1
[236] eval-auc:0.702195 train-auc:1
[237] eval-auc:0.702092 train-auc:1
[238] eval-auc:0.701889 train-auc:1
[239] eval-auc:0.701799 train-auc:1
[240] eval-auc:0.701129 train-auc:1
[241] eval-auc:0.700797 train-auc:1
[242] eval-auc:0.70093 train-auc:1
[243] eval-auc:0.700736 train-auc:1
[244] eval-auc:0.700814 train-auc:1
[245] eval-auc:0.700531 train-auc:1
[246] eval-auc:0.700851 train-auc:1
[247] eval-auc:0.70089 train-auc:1
[248] eval-auc:0.700927 train-auc:1
[249] eval-auc:0.700675 train-auc:1
[250] eval-auc:0.700616 train-auc:1
[251] eval-auc:0.700608 train-auc:1
[252] eval-auc:0.700523 train-auc:1
[253] eval-auc:0.700625 train-auc:1
[254] eval-auc:0.700675 train-auc:1
[255] eval-auc:0.700484 train-auc:1
[256] eval-auc:0.700465 train-auc:1
[257] eval-auc:0.700371 train-auc:1
[258] eval-auc:0.700602 train-auc:1
[259] eval-auc:0.700729 train-auc:1
[260] eval-auc:0.700551 train-auc:1
[261] eval-auc:0.700762 train-auc:1
[262] eval-auc:0.700549 train-auc:1
[263] eval-auc:0.700555 train-auc:1
[264] eval-auc:0.700628 train-auc:1
[265] eval-auc:0.700305 train-auc:1
[266] eval-auc:0.700442 train-auc:1
[267] eval-auc:0.700147 train-auc:1
[268] eval-auc:0.700127 train-auc:1
[269] eval-auc:0.700037 train-auc:1
[270] eval-auc:0.699908 train-auc:1
[271] eval-auc:0.700004 train-auc:1
[272] eval-auc:0.699914 train-auc:1
[273] eval-auc:0.699759 train-auc:1
[274] eval-auc:0.699875 train-auc:1
[275] eval-auc:0.699704 train-auc:1
[276] eval-auc:0.699855 train-auc:1
[277] eval-auc:0.699918 train-auc:1
[278] eval-auc:0.699928 train-auc:1
[279] eval-auc:0.700074 train-auc:1
[280] eval-auc:0.700162 train-auc:1
[281] eval-auc:0.700196 train-auc:1
[282] eval-auc:0.700325 train-auc:1
[283] eval-auc:0.700194 train-auc:1
[284] eval-auc:0.700712 train-auc:1
[285] eval-auc:0.700712 train-auc:1
[286] eval-auc:0.700851 train-auc:1
[287] eval-auc:0.700995 train-auc:1
[288] eval-auc:0.700957 train-auc:1
[289] eval-auc:0.701039 train-auc:1
[290] eval-auc:0.700852 train-auc:1
[291] eval-auc:0.700643 train-auc:1
[292] eval-auc:0.700557 train-auc:1
[293] eval-auc:0.700697 train-auc:1
[294] eval-auc:0.700718 train-auc:1
[295] eval-auc:0.700937 train-auc:1
[296] eval-auc:0.700871 train-auc:1
[297] eval-auc:0.70086 train-auc:1
[298] eval-auc:0.700875 train-auc:1
[299] eval-auc:0.70089 train-auc:1
[300] eval-auc:0.700636 train-auc:1
[301] eval-auc:0.700499 train-auc:1
[302] eval-auc:0.700328 train-auc:1
[303] eval-auc:0.700398 train-auc:1
[304] eval-auc:0.700296 train-auc:1
[305] eval-auc:0.700283 train-auc:1
[306] eval-auc:0.700305 train-auc:1
[307] eval-auc:0.700312 train-auc:1
[308] eval-auc:0.700701 train-auc:1
[309] eval-auc:0.700781 train-auc:1
[310] eval-auc:0.700928 train-auc:1
[311] eval-auc:0.700915 train-auc:1
[312] eval-auc:0.701036 train-auc:1
[313] eval-auc:0.700972 train-auc:1
[314] eval-auc:0.700838 train-auc:1
[315] eval-auc:0.700898 train-auc:1
[316] eval-auc:0.700651 train-auc:1
[317] eval-auc:0.700744 train-auc:1
[318] eval-auc:0.700829 train-auc:1
[319] eval-auc:0.700493 train-auc:1
[320] eval-auc:0.700452 train-auc:1
[321] eval-auc:0.700598 train-auc:1
[322] eval-auc:0.700596 train-auc:1
[323] eval-auc:0.700564 train-auc:1
[324] eval-auc:0.700554 train-auc:1
[325] eval-auc:0.700411 train-auc:1
[326] eval-auc:0.700299 train-auc:1
[327] eval-auc:0.700278 train-auc:1
[328] eval-auc:0.70027 train-auc:1
[329] eval-auc:0.700325 train-auc:1
[330] eval-auc:0.69999 train-auc:1
[331] eval-auc:0.700063 train-auc:1
[332] eval-auc:0.699974 train-auc:1
[333] eval-auc:0.699966 train-auc:1
[334] eval-auc:0.699811 train-auc:1
[335] eval-auc:0.699861 train-auc:1
[336] eval-auc:0.699728 train-auc:1
[337] eval-auc:0.699766 train-auc:1
[338] eval-auc:0.699622 train-auc:1
[339] eval-auc:0.699701 train-auc:1
[340] eval-auc:0.699728 train-auc:1
[341] eval-auc:0.699622 train-auc:1
[342] eval-auc:0.699631 train-auc:1
[343] eval-auc:0.699564 train-auc:1
[344] eval-auc:0.699599 train-auc:1
[345] eval-auc:0.699603 train-auc:1
[346] eval-auc:0.6996 train-auc:1
[347] eval-auc:0.699585 train-auc:1
[348] eval-auc:0.699707 train-auc:1
[349] eval-auc:0.699674 train-auc:1
[350] eval-auc:0.699559 train-auc:1
[351] eval-auc:0.699494 train-auc:1
[352] eval-auc:0.699658 train-auc:1
[353] eval-auc:0.699826 train-auc:1
[354] eval-auc:0.699613 train-auc:1
[355] eval-auc:0.699631 train-auc:1
[356] eval-auc:0.699737 train-auc:1
[357] eval-auc:0.700091 train-auc:1
[358] eval-auc:0.699963 train-auc:1
[359] eval-auc:0.699943 train-auc:1
[360] eval-auc:0.700059 train-auc:1
[361] eval-auc:0.69992 train-auc:1
[362] eval-auc:0.700095 train-auc:1
[363] eval-auc:0.700071 train-auc:1
[364] eval-auc:0.700167 train-auc:1
[365] eval-auc:0.700066 train-auc:1
[366] eval-auc:0.700179 train-auc:1
[367] eval-auc:0.700188 train-auc:1
[368] eval-auc:0.700036 train-auc:1
[369] eval-auc:0.700002 train-auc:1
[370] eval-auc:0.699967 train-auc:1
[371] eval-auc:0.699871 train-auc:1
[372] eval-auc:0.699913 train-auc:1
[373] eval-auc:0.699882 train-auc:1
[374] eval-auc:0.699903 train-auc:1
[375] eval-auc:0.699983 train-auc:1
[376] eval-auc:0.700616 train-auc:1
[377] eval-auc:0.700528 train-auc:1
[378] eval-auc:0.700458 train-auc:1
[379] eval-auc:0.700608 train-auc:1
Score 0.7006084859116324
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9, 'eta': 0.17500000000000002, 'eval_metric': 'auc', 'gamma': 0.9, 'max_depth': 4, 'min_child_weight': 1.0, 'n_estimators': 782.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.8, 'tree_method': 'exact'}
[0] eval-auc:0.691022 train-auc:0.734018
[1] eval-auc:0.693302 train-auc:0.742043
[2] eval-auc:0.698866 train-auc:0.755124
[3] eval-auc:0.694494 train-auc:0.765517
[4] eval-auc:0.689406 train-auc:0.774113
[5] eval-auc:0.687393 train-auc:0.790287
[6] eval-auc:0.693585 train-auc:0.789071
[7] eval-auc:0.697129 train-auc:0.795392
[8] eval-auc:0.698519 train-auc:0.801334
[9] eval-auc:0.697055 train-auc:0.809994
[10] eval-auc:0.698146 train-auc:0.816222
[11] eval-auc:0.699351 train-auc:0.819278
[12] eval-auc:0.702134 train-auc:0.822703
[13] eval-auc:0.700602 train-auc:0.822682
[14] eval-auc:0.700699 train-auc:0.825686
[15] eval-auc:0.698396 train-auc:0.827586
[16] eval-auc:0.698905 train-auc:0.832085
[17] eval-auc:0.698084 train-auc:0.832329
[18] eval-auc:0.699015 train-auc:0.836071
[19] eval-auc:0.704227 train-auc:0.842587
[20] eval-auc:0.707135 train-auc:0.845704
[21] eval-auc:0.706977 train-auc:0.848463
[22] eval-auc:0.706797 train-auc:0.850283
[23] eval-auc:0.705756 train-auc:0.851875
[24] eval-auc:0.707928 train-auc:0.85509
[25] eval-auc:0.709692 train-auc:0.859312
[26] eval-auc:0.707877 train-auc:0.861443
[27] eval-auc:0.709952 train-auc:0.865882
[28] eval-auc:0.707529 train-auc:0.865212
[29] eval-auc:0.706258 train-auc:0.867336
[30] eval-auc:0.705879 train-auc:0.872448
[31] eval-auc:0.707816 train-auc:0.874691
[32] eval-auc:0.710139 train-auc:0.875564
[33] eval-auc:0.711482 train-auc:0.877015
[34] eval-auc:0.70914 train-auc:0.878413
[35] eval-auc:0.709166 train-auc:0.883179
[36] eval-auc:0.708594 train-auc:0.887374
[37] eval-auc:0.709378 train-auc:0.888976
[38] eval-auc:0.709789 train-auc:0.890787
[39] eval-auc:0.707368 train-auc:0.893021
[40] eval-auc:0.706655 train-auc:0.897222
[41] eval-auc:0.704805 train-auc:0.898393
[42] eval-auc:0.704679 train-auc:0.899615
[43] eval-auc:0.704277 train-auc:0.902071
[44] eval-auc:0.704217 train-auc:0.901963
[45] eval-auc:0.704641 train-auc:0.903968
[46] eval-auc:0.705 train-auc:0.904257
[47] eval-auc:0.703817 train-auc:0.905919
[48] eval-auc:0.703742 train-auc:0.90716
[49] eval-auc:0.701633 train-auc:0.9089
[50] eval-auc:0.701719 train-auc:0.909987
[51] eval-auc:0.70193 train-auc:0.912184
[52] eval-auc:0.700348 train-auc:0.912696
[53] eval-auc:0.700867 train-auc:0.913464
[54] eval-auc:0.702835 train-auc:0.915173
[55] eval-auc:0.701848 train-auc:0.916334
[56] eval-auc:0.702131 train-auc:0.918255
[57] eval-auc:0.701336 train-auc:0.919942
[58] eval-auc:0.70214 train-auc:0.919729
[59] eval-auc:0.702043 train-auc:0.920537
[60] eval-auc:0.700878 train-auc:0.922101
[61] eval-auc:0.700572 train-auc:0.922876
[62] eval-auc:0.701012 train-auc:0.925787
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[531] eval-auc:0.689106 train-auc:0.999936
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[536] eval-auc:0.688908 train-auc:0.999937
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[563] eval-auc:0.687885 train-auc:0.999972
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[576] eval-auc:0.687886 train-auc:0.999985
[577] eval-auc:0.687982 train-auc:0.999983
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[580] eval-auc:0.688157 train-auc:0.999984
[581] eval-auc:0.688379 train-auc:0.999989
[582] eval-auc:0.688861 train-auc:0.999989
[583] eval-auc:0.688506 train-auc:0.999988
[584] eval-auc:0.68881 train-auc:0.999994
[585] eval-auc:0.68872 train-auc:0.999994
[586] eval-auc:0.688675 train-auc:0.999994
[587] eval-auc:0.688842 train-auc:0.999993
[588] eval-auc:0.688503 train-auc:0.999994
[589] eval-auc:0.688216 train-auc:0.999993
[590] eval-auc:0.688206 train-auc:0.999993
[591] eval-auc:0.687941 train-auc:0.999994
[592] eval-auc:0.687799 train-auc:0.999994
[593] eval-auc:0.687709 train-auc:0.999997
[594] eval-auc:0.687918 train-auc:0.999995
[595] eval-auc:0.687888 train-auc:0.99999
[596] eval-auc:0.687959 train-auc:0.999989
[597] eval-auc:0.688119 train-auc:0.99999
[598] eval-auc:0.68799 train-auc:0.999989
[599] eval-auc:0.688271 train-auc:0.999989
[600] eval-auc:0.688491 train-auc:0.99999
[601] eval-auc:0.688384 train-auc:0.999991
[602] eval-auc:0.688331 train-auc:0.999992
[603] eval-auc:0.688399 train-auc:0.999992
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[605] eval-auc:0.688241 train-auc:0.999992
[606] eval-auc:0.688081 train-auc:0.999993
[607] eval-auc:0.687598 train-auc:0.99999
[608] eval-auc:0.687659 train-auc:0.999989
[609] eval-auc:0.687032 train-auc:0.999988
[610] eval-auc:0.687221 train-auc:0.999988
[611] eval-auc:0.687384 train-auc:0.999989
[612] eval-auc:0.687676 train-auc:0.999989
[613] eval-auc:0.687081 train-auc:0.999989
[614] eval-auc:0.687167 train-auc:0.99999
[615] eval-auc:0.68731 train-auc:0.999988
[616] eval-auc:0.68797 train-auc:0.99999
[617] eval-auc:0.687772 train-auc:0.99999
[618] eval-auc:0.687853 train-auc:0.999991
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[620] eval-auc:0.688119 train-auc:0.999989
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[622] eval-auc:0.688124 train-auc:0.999991
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[624] eval-auc:0.68842 train-auc:0.999991
[625] eval-auc:0.688131 train-auc:0.99999
[626] eval-auc:0.688268 train-auc:0.999991
[627] eval-auc:0.688171 train-auc:0.99999
[628] eval-auc:0.688092 train-auc:0.999991
[629] eval-auc:0.688256 train-auc:0.999994
[630] eval-auc:0.688588 train-auc:0.999994
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[632] eval-auc:0.688168 train-auc:0.999993
[633] eval-auc:0.688113 train-auc:0.999994
[634] eval-auc:0.687921 train-auc:0.999994
[635] eval-auc:0.68798 train-auc:0.999994
[636] eval-auc:0.687973 train-auc:0.999994
[637] eval-auc:0.688003 train-auc:0.999995
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[640] eval-auc:0.688605 train-auc:0.999994
[641] eval-auc:0.688597 train-auc:0.999994
[642] eval-auc:0.688146 train-auc:0.999993
[643] eval-auc:0.688032 train-auc:0.999993
[644] eval-auc:0.688262 train-auc:0.999986
[645] eval-auc:0.688226 train-auc:0.999987
[646] eval-auc:0.687968 train-auc:0.999989
[647] eval-auc:0.688241 train-auc:0.999989
[648] eval-auc:0.688579 train-auc:0.999989
[649] eval-auc:0.688523 train-auc:0.999989
[650] eval-auc:0.688341 train-auc:0.999991
[651] eval-auc:0.688384 train-auc:0.999991
[652] eval-auc:0.688131 train-auc:0.999991
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[666] eval-auc:0.688154 train-auc:0.999986
[667] eval-auc:0.688255 train-auc:0.999984
[668] eval-auc:0.688698 train-auc:0.999988
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[670] eval-auc:0.688393 train-auc:0.999987
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[674] eval-auc:0.687394 train-auc:0.999987
[675] eval-auc:0.687327 train-auc:0.999988
[676] eval-auc:0.687341 train-auc:0.999987
[677] eval-auc:0.687317 train-auc:0.999987
[678] eval-auc:0.687632 train-auc:0.999987
[679] eval-auc:0.687784 train-auc:0.999988
[680] eval-auc:0.687839 train-auc:0.999989
[681] eval-auc:0.687735 train-auc:0.999989
[682] eval-auc:0.687642 train-auc:0.999989
[683] eval-auc:0.687377 train-auc:0.999988
[684] eval-auc:0.687205 train-auc:0.999988
[685] eval-auc:0.687167 train-auc:0.999987
[686] eval-auc:0.686924 train-auc:0.999989
[687] eval-auc:0.686934 train-auc:0.999987
[688] eval-auc:0.687204 train-auc:0.999986
[689] eval-auc:0.687175 train-auc:0.999984
[690] eval-auc:0.687243 train-auc:0.999984
[691] eval-auc:0.687362 train-auc:0.999983
[692] eval-auc:0.687553 train-auc:0.999985
[693] eval-auc:0.687192 train-auc:0.999985
[694] eval-auc:0.686992 train-auc:0.999985
[695] eval-auc:0.686905 train-auc:0.999985
[696] eval-auc:0.686759 train-auc:0.999984
[697] eval-auc:0.687048 train-auc:0.999984
[698] eval-auc:0.686761 train-auc:0.999983
[699] eval-auc:0.687018 train-auc:0.999985
[700] eval-auc:0.687266 train-auc:0.999985
[701] eval-auc:0.687597 train-auc:0.999984
[702] eval-auc:0.687595 train-auc:0.99999
[703] eval-auc:0.687271 train-auc:0.99999
[704] eval-auc:0.687426 train-auc:0.99999
[705] eval-auc:0.687498 train-auc:0.99999
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[708] eval-auc:0.686884 train-auc:0.999986
[709] eval-auc:0.687123 train-auc:0.999987
[710] eval-auc:0.68695 train-auc:0.999988
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[712] eval-auc:0.686808 train-auc:0.999988
[713] eval-auc:0.686948 train-auc:0.999988
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[715] eval-auc:0.686016 train-auc:0.99999
[716] eval-auc:0.685538 train-auc:0.99999
[717] eval-auc:0.685354 train-auc:0.99999
[718] eval-auc:0.685389 train-auc:0.999991
[719] eval-auc:0.685154 train-auc:0.99999
[720] eval-auc:0.685342 train-auc:0.999993
[721] eval-auc:0.685631 train-auc:0.999993
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[726] eval-auc:0.685562 train-auc:0.999992
[727] eval-auc:0.685622 train-auc:0.999992
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[729] eval-auc:0.685815 train-auc:0.999992
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[732] eval-auc:0.686441 train-auc:0.999991
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[735] eval-auc:0.686782 train-auc:0.999997
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[737] eval-auc:0.68691 train-auc:0.999997
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[740] eval-auc:0.68689 train-auc:0.999996
[741] eval-auc:0.687323 train-auc:0.999996
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[743] eval-auc:0.687682 train-auc:0.999995
[744] eval-auc:0.687897 train-auc:0.999995
[745] eval-auc:0.688149 train-auc:0.999995
[746] eval-auc:0.688122 train-auc:0.999996
[747] eval-auc:0.688148 train-auc:0.999996
[748] eval-auc:0.688043 train-auc:0.999996
[749] eval-auc:0.687708 train-auc:0.999997
[750] eval-auc:0.687913 train-auc:0.999997
[751] eval-auc:0.688031 train-auc:0.999997
[752] eval-auc:0.688157 train-auc:0.999997
[753] eval-auc:0.688037 train-auc:0.999996
[754] eval-auc:0.688111 train-auc:0.999996
[755] eval-auc:0.688005 train-auc:0.999997
[756] eval-auc:0.687715 train-auc:0.999997
[757] eval-auc:0.687467 train-auc:0.999996
[758] eval-auc:0.687023 train-auc:0.999996
[759] eval-auc:0.686916 train-auc:0.999997
[760] eval-auc:0.687112 train-auc:0.999997
[761] eval-auc:0.687033 train-auc:0.999998
[762] eval-auc:0.687262 train-auc:0.999998
[763] eval-auc:0.687134 train-auc:0.999998
[764] eval-auc:0.688318 train-auc:0.999998
[765] eval-auc:0.688527 train-auc:0.999998
[766] eval-auc:0.688912 train-auc:0.999998
[767] eval-auc:0.688943 train-auc:0.999998
[768] eval-auc:0.68842 train-auc:0.999998
[769] eval-auc:0.688436 train-auc:0.999998
[770] eval-auc:0.68834 train-auc:0.999998
[771] eval-auc:0.688521 train-auc:0.999996
[772] eval-auc:0.688634 train-auc:0.999996
[773] eval-auc:0.689069 train-auc:0.999995
[774] eval-auc:0.688908 train-auc:0.999996
[775] eval-auc:0.688743 train-auc:0.999996
[776] eval-auc:0.689011 train-auc:0.999996
[777] eval-auc:0.689141 train-auc:0.999996
[778] eval-auc:0.689028 train-auc:0.999996
[779] eval-auc:0.689351 train-auc:0.999995
[780] eval-auc:0.689613 train-auc:0.999995
[781] eval-auc:0.689585 train-auc:0.999995
Score 0.6895853890289807
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9, 'eta': 0.225, 'eval_metric': 'auc', 'gamma': 0.75, 'max_depth': 4, 'min_child_weight': 2.0, 'n_estimators': 999.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.713565 train-auc:0.732886
[1] eval-auc:0.690722 train-auc:0.749095
[2] eval-auc:0.698407 train-auc:0.764543
[3] eval-auc:0.691019 train-auc:0.770177
[4] eval-auc:0.692833 train-auc:0.786875
[5] eval-auc:0.693207 train-auc:0.794897
[6] eval-auc:0.693221 train-auc:0.801864
[7] eval-auc:0.690261 train-auc:0.808062
[8] eval-auc:0.691903 train-auc:0.815915
[9] eval-auc:0.690615 train-auc:0.820832
[10] eval-auc:0.691026 train-auc:0.823851
[11] eval-auc:0.686842 train-auc:0.831022
[12] eval-auc:0.684945 train-auc:0.832807
[13] eval-auc:0.685778 train-auc:0.836613
[14] eval-auc:0.689555 train-auc:0.841899
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[834] eval-auc:0.684035 train-auc:0.999745
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[840] eval-auc:0.68407 train-auc:0.999751
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[842] eval-auc:0.684161 train-auc:0.999764
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[865] eval-auc:0.684266 train-auc:0.99978
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[870] eval-auc:0.684422 train-auc:0.999782
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[896] eval-auc:0.68398 train-auc:0.999778
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[900] eval-auc:0.683883 train-auc:0.999768
[901] eval-auc:0.684157 train-auc:0.999773
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[908] eval-auc:0.684113 train-auc:0.999775
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[910] eval-auc:0.684143 train-auc:0.999782
[911] eval-auc:0.683674 train-auc:0.999789
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[920] eval-auc:0.682724 train-auc:0.999803
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[922] eval-auc:0.682623 train-auc:0.999803
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[939] eval-auc:0.683331 train-auc:0.999805
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[963] eval-auc:0.683531 train-auc:0.999808
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[967] eval-auc:0.683531 train-auc:0.999808
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[969] eval-auc:0.683531 train-auc:0.999808
[970] eval-auc:0.683531 train-auc:0.999808
[971] eval-auc:0.683531 train-auc:0.999808
[972] eval-auc:0.683266 train-auc:0.999808
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[978] eval-auc:0.683266 train-auc:0.999808
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[980] eval-auc:0.683266 train-auc:0.999808
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[987] eval-auc:0.683266 train-auc:0.999808
[988] eval-auc:0.683266 train-auc:0.999808
[989] eval-auc:0.683266 train-auc:0.999808
[990] eval-auc:0.683266 train-auc:0.999808
[991] eval-auc:0.683266 train-auc:0.999808
[992] eval-auc:0.683266 train-auc:0.999808
[993] eval-auc:0.683266 train-auc:0.999808
[994] eval-auc:0.683266 train-auc:0.999808
[995] eval-auc:0.683266 train-auc:0.999808
[996] eval-auc:0.683266 train-auc:0.999808
[997] eval-auc:0.683266 train-auc:0.999808
[998] eval-auc:0.683266 train-auc:0.999808
Score 0.6832660283350996
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9500000000000001, 'eta': 0.025, 'eval_metric': 'auc', 'gamma': 0.65, 'max_depth': 3, 'min_child_weight': 4.0, 'n_estimators': 754.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9, 'tree_method': 'exact'}
[0] eval-auc:0.704885 train-auc:0.720981
[1] eval-auc:0.691282 train-auc:0.725818
[2] eval-auc:0.705838 train-auc:0.728087
[3] eval-auc:0.705136 train-auc:0.729691
[4] eval-auc:0.706556 train-auc:0.730862
[5] eval-auc:0.697691 train-auc:0.733949
[6] eval-auc:0.695989 train-auc:0.731844
[7] eval-auc:0.696284 train-auc:0.734416
[8] eval-auc:0.699222 train-auc:0.737936
[9] eval-auc:0.703812 train-auc:0.737933
[10] eval-auc:0.703688 train-auc:0.739655
[11] eval-auc:0.703755 train-auc:0.740192
[12] eval-auc:0.703042 train-auc:0.740759
[13] eval-auc:0.706709 train-auc:0.740217
[14] eval-auc:0.703431 train-auc:0.740068
[15] eval-auc:0.70429 train-auc:0.740478
[16] eval-auc:0.70512 train-auc:0.740561
[17] eval-auc:0.703663 train-auc:0.742957
[18] eval-auc:0.70364 train-auc:0.744305
[19] eval-auc:0.703866 train-auc:0.744636
[20] eval-auc:0.703641 train-auc:0.743574
[21] eval-auc:0.703777 train-auc:0.744452
[22] eval-auc:0.703747 train-auc:0.744487
[23] eval-auc:0.702973 train-auc:0.745193
[24] eval-auc:0.703793 train-auc:0.746668
[25] eval-auc:0.702603 train-auc:0.74814
[26] eval-auc:0.703287 train-auc:0.749318
[27] eval-auc:0.703805 train-auc:0.750577
[28] eval-auc:0.703127 train-auc:0.749209
[29] eval-auc:0.703321 train-auc:0.749012
[30] eval-auc:0.70284 train-auc:0.749581
[31] eval-auc:0.703103 train-auc:0.750277
[32] eval-auc:0.703563 train-auc:0.751073
[33] eval-auc:0.702976 train-auc:0.75131
[34] eval-auc:0.702922 train-auc:0.752577
[35] eval-auc:0.703012 train-auc:0.75272
[36] eval-auc:0.703127 train-auc:0.753245
[37] eval-auc:0.701871 train-auc:0.752434
[38] eval-auc:0.70235 train-auc:0.752327
[39] eval-auc:0.702495 train-auc:0.752522
[40] eval-auc:0.703666 train-auc:0.753056
[41] eval-auc:0.7037 train-auc:0.753318
[42] eval-auc:0.703478 train-auc:0.753468
[43] eval-auc:0.703747 train-auc:0.754015
[44] eval-auc:0.703961 train-auc:0.754443
[45] eval-auc:0.704536 train-auc:0.754578
[46] eval-auc:0.705177 train-auc:0.755183
[47] eval-auc:0.706048 train-auc:0.756147
[48] eval-auc:0.706396 train-auc:0.756514
[49] eval-auc:0.705445 train-auc:0.757943
[50] eval-auc:0.705942 train-auc:0.759947
[51] eval-auc:0.706227 train-auc:0.761324
[52] eval-auc:0.705683 train-auc:0.761971
[53] eval-auc:0.706024 train-auc:0.763034
[54] eval-auc:0.705433 train-auc:0.763874
[55] eval-auc:0.705328 train-auc:0.765041
[56] eval-auc:0.705 train-auc:0.766465
[57] eval-auc:0.704919 train-auc:0.766877
[58] eval-auc:0.705366 train-auc:0.76692
[59] eval-auc:0.705317 train-auc:0.76752
[60] eval-auc:0.704816 train-auc:0.767995
[61] eval-auc:0.705128 train-auc:0.767979
[62] eval-auc:0.70497 train-auc:0.768484
[63] eval-auc:0.704988 train-auc:0.768956
[64] eval-auc:0.704593 train-auc:0.769595
[65] eval-auc:0.704648 train-auc:0.769622
[66] eval-auc:0.704581 train-auc:0.769881
[67] eval-auc:0.704764 train-auc:0.770203
[68] eval-auc:0.70437 train-auc:0.771178
[69] eval-auc:0.704115 train-auc:0.771903
[70] eval-auc:0.705005 train-auc:0.77238
[71] eval-auc:0.705163 train-auc:0.772933
[72] eval-auc:0.705007 train-auc:0.773704
[73] eval-auc:0.705274 train-auc:0.773825
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[75] eval-auc:0.706224 train-auc:0.774948
[76] eval-auc:0.706413 train-auc:0.775301
[77] eval-auc:0.705922 train-auc:0.776094
[78] eval-auc:0.705901 train-auc:0.776837
[79] eval-auc:0.706692 train-auc:0.777421
[80] eval-auc:0.706637 train-auc:0.777904
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[82] eval-auc:0.706734 train-auc:0.779036
[83] eval-auc:0.70706 train-auc:0.778806
[84] eval-auc:0.707965 train-auc:0.780093
[85] eval-auc:0.707104 train-auc:0.780924
[86] eval-auc:0.707205 train-auc:0.78098
[87] eval-auc:0.707178 train-auc:0.781967
[88] eval-auc:0.707322 train-auc:0.78366
[89] eval-auc:0.706998 train-auc:0.783534
[90] eval-auc:0.706299 train-auc:0.783125
[91] eval-auc:0.706134 train-auc:0.783954
[92] eval-auc:0.705914 train-auc:0.784597
[93] eval-auc:0.704562 train-auc:0.785376
[94] eval-auc:0.705136 train-auc:0.78591
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[469] eval-auc:0.709213 train-auc:0.888869
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[488] eval-auc:0.70878 train-auc:0.891759
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[491] eval-auc:0.708945 train-auc:0.891972
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[510] eval-auc:0.709308 train-auc:0.895001
[511] eval-auc:0.709203 train-auc:0.895022
[512] eval-auc:0.709076 train-auc:0.894968
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[514] eval-auc:0.708984 train-auc:0.895184
[515] eval-auc:0.70904 train-auc:0.895245
[516] eval-auc:0.709118 train-auc:0.89533
[517] eval-auc:0.709378 train-auc:0.895456
[518] eval-auc:0.709395 train-auc:0.895554
[519] eval-auc:0.709643 train-auc:0.89564
[520] eval-auc:0.709548 train-auc:0.89567
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[525] eval-auc:0.709196 train-auc:0.896629
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[534] eval-auc:0.709218 train-auc:0.897944
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[541] eval-auc:0.70878 train-auc:0.89881
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[543] eval-auc:0.708505 train-auc:0.899252
[544] eval-auc:0.708484 train-auc:0.8993
[545] eval-auc:0.708571 train-auc:0.899562
[546] eval-auc:0.708399 train-auc:0.899725
[547] eval-auc:0.70848 train-auc:0.899898
[548] eval-auc:0.708644 train-auc:0.900041
[549] eval-auc:0.708763 train-auc:0.90034
[550] eval-auc:0.708781 train-auc:0.900432
[551] eval-auc:0.708575 train-auc:0.900747
[552] eval-auc:0.708604 train-auc:0.900878
[553] eval-auc:0.70865 train-auc:0.90107
[554] eval-auc:0.708362 train-auc:0.901119
[555] eval-auc:0.708677 train-auc:0.901359
[556] eval-auc:0.708711 train-auc:0.901421
[557] eval-auc:0.708793 train-auc:0.901757
[558] eval-auc:0.7086 train-auc:0.901834
[559] eval-auc:0.708671 train-auc:0.901904
[560] eval-auc:0.708763 train-auc:0.90198
[561] eval-auc:0.708807 train-auc:0.902186
[562] eval-auc:0.708962 train-auc:0.902177
[563] eval-auc:0.709023 train-auc:0.902212
[564] eval-auc:0.70909 train-auc:0.902221
[565] eval-auc:0.708843 train-auc:0.902357
[566] eval-auc:0.708805 train-auc:0.902415
[567] eval-auc:0.708881 train-auc:0.90249
[568] eval-auc:0.70876 train-auc:0.902676
[569] eval-auc:0.708432 train-auc:0.902903
[570] eval-auc:0.708562 train-auc:0.903119
[571] eval-auc:0.708394 train-auc:0.903153
[572] eval-auc:0.708397 train-auc:0.903437
[573] eval-auc:0.708396 train-auc:0.903533
[574] eval-auc:0.708511 train-auc:0.903563
[575] eval-auc:0.708438 train-auc:0.903771
[576] eval-auc:0.708402 train-auc:0.903763
[577] eval-auc:0.708084 train-auc:0.903934
[578] eval-auc:0.708027 train-auc:0.904036
[579] eval-auc:0.708004 train-auc:0.904219
[580] eval-auc:0.707677 train-auc:0.90426
[581] eval-auc:0.707736 train-auc:0.904458
[582] eval-auc:0.707726 train-auc:0.904549
[583] eval-auc:0.707796 train-auc:0.904627
[584] eval-auc:0.707959 train-auc:0.904712
[585] eval-auc:0.708007 train-auc:0.904769
[586] eval-auc:0.707979 train-auc:0.904889
[587] eval-auc:0.707732 train-auc:0.905018
[588] eval-auc:0.707595 train-auc:0.905271
[589] eval-auc:0.707583 train-auc:0.905305
[590] eval-auc:0.707592 train-auc:0.905606
[591] eval-auc:0.707569 train-auc:0.905594
[592] eval-auc:0.707554 train-auc:0.905649
[593] eval-auc:0.707358 train-auc:0.905957
[594] eval-auc:0.707389 train-auc:0.906008
[595] eval-auc:0.707441 train-auc:0.906348
[596] eval-auc:0.707439 train-auc:0.906502
[597] eval-auc:0.707386 train-auc:0.906509
[598] eval-auc:0.707519 train-auc:0.906541
[599] eval-auc:0.707785 train-auc:0.906984
[600] eval-auc:0.707717 train-auc:0.907052
[601] eval-auc:0.707601 train-auc:0.907126
[602] eval-auc:0.707628 train-auc:0.907175
[603] eval-auc:0.707625 train-auc:0.907317
[604] eval-auc:0.707605 train-auc:0.907612
[605] eval-auc:0.707374 train-auc:0.90781
[606] eval-auc:0.707313 train-auc:0.907897
[607] eval-auc:0.707214 train-auc:0.907912
[608] eval-auc:0.70729 train-auc:0.908063
[609] eval-auc:0.707182 train-auc:0.90803
[610] eval-auc:0.707219 train-auc:0.908076
[611] eval-auc:0.707307 train-auc:0.908209
[612] eval-auc:0.707493 train-auc:0.908531
[613] eval-auc:0.707575 train-auc:0.90856
[614] eval-auc:0.707609 train-auc:0.908686
[615] eval-auc:0.707651 train-auc:0.908733
[616] eval-auc:0.707449 train-auc:0.908872
[617] eval-auc:0.707344 train-auc:0.908871
[618] eval-auc:0.707371 train-auc:0.909141
[619] eval-auc:0.707581 train-auc:0.909312
[620] eval-auc:0.707741 train-auc:0.90944
[621] eval-auc:0.707919 train-auc:0.909548
[622] eval-auc:0.7078 train-auc:0.909508
[623] eval-auc:0.707969 train-auc:0.909513
[624] eval-auc:0.707913 train-auc:0.909715
[625] eval-auc:0.708047 train-auc:0.909894
[626] eval-auc:0.707956 train-auc:0.910052
[627] eval-auc:0.708173 train-auc:0.91034
[628] eval-auc:0.708061 train-auc:0.910262
[629] eval-auc:0.708205 train-auc:0.910381
[630] eval-auc:0.708402 train-auc:0.910478
[631] eval-auc:0.708164 train-auc:0.910536
[632] eval-auc:0.708113 train-auc:0.910667
[633] eval-auc:0.707909 train-auc:0.910736
[634] eval-auc:0.707939 train-auc:0.911079
[635] eval-auc:0.707974 train-auc:0.911121
[636] eval-auc:0.707989 train-auc:0.911212
[637] eval-auc:0.708117 train-auc:0.911253
[638] eval-auc:0.708149 train-auc:0.91142
[639] eval-auc:0.708228 train-auc:0.911561
[640] eval-auc:0.707947 train-auc:0.911696
[641] eval-auc:0.707953 train-auc:0.911759
[642] eval-auc:0.707959 train-auc:0.911708
[643] eval-auc:0.707936 train-auc:0.911791
[644] eval-auc:0.70771 train-auc:0.911848
[645] eval-auc:0.707872 train-auc:0.911874
[646] eval-auc:0.707832 train-auc:0.912091
[647] eval-auc:0.707782 train-auc:0.91211
[648] eval-auc:0.707741 train-auc:0.912116
[649] eval-auc:0.70768 train-auc:0.912224
[650] eval-auc:0.707752 train-auc:0.912189
[651] eval-auc:0.707834 train-auc:0.912253
[652] eval-auc:0.707842 train-auc:0.912445
[653] eval-auc:0.707924 train-auc:0.912577
[654] eval-auc:0.707928 train-auc:0.912606
[655] eval-auc:0.707988 train-auc:0.912719
[656] eval-auc:0.708207 train-auc:0.912743
[657] eval-auc:0.708222 train-auc:0.912856
[658] eval-auc:0.708243 train-auc:0.912916
[659] eval-auc:0.708218 train-auc:0.912963
[660] eval-auc:0.708256 train-auc:0.913018
[661] eval-auc:0.708157 train-auc:0.913011
[662] eval-auc:0.708141 train-auc:0.913178
[663] eval-auc:0.708208 train-auc:0.913317
[664] eval-auc:0.708243 train-auc:0.913449
[665] eval-auc:0.708169 train-auc:0.913485
[666] eval-auc:0.708023 train-auc:0.91358
[667] eval-auc:0.707997 train-auc:0.913672
[668] eval-auc:0.707934 train-auc:0.913709
[669] eval-auc:0.70816 train-auc:0.91375
[670] eval-auc:0.708167 train-auc:0.913812
[671] eval-auc:0.70824 train-auc:0.913778
[672] eval-auc:0.708268 train-auc:0.913871
[673] eval-auc:0.708403 train-auc:0.913897
[674] eval-auc:0.708181 train-auc:0.914095
[675] eval-auc:0.708058 train-auc:0.914231
[676] eval-auc:0.708201 train-auc:0.914364
[677] eval-auc:0.708149 train-auc:0.914426
[678] eval-auc:0.708116 train-auc:0.91456
[679] eval-auc:0.708084 train-auc:0.91465
[680] eval-auc:0.708128 train-auc:0.914729
[681] eval-auc:0.708023 train-auc:0.914934
[682] eval-auc:0.708074 train-auc:0.915018
[683] eval-auc:0.708062 train-auc:0.91513
[684] eval-auc:0.707995 train-auc:0.915178
[685] eval-auc:0.707986 train-auc:0.915235
[686] eval-auc:0.708038 train-auc:0.915343
[687] eval-auc:0.708043 train-auc:0.915365
[688] eval-auc:0.707995 train-auc:0.915404
[689] eval-auc:0.707942 train-auc:0.915652
[690] eval-auc:0.707992 train-auc:0.915729
[691] eval-auc:0.708125 train-auc:0.915771
[692] eval-auc:0.708265 train-auc:0.915737
[693] eval-auc:0.708167 train-auc:0.915808
[694] eval-auc:0.708067 train-auc:0.915805
[695] eval-auc:0.707943 train-auc:0.915928
[696] eval-auc:0.708119 train-auc:0.916252
[697] eval-auc:0.708286 train-auc:0.916409
[698] eval-auc:0.708373 train-auc:0.916525
[699] eval-auc:0.708289 train-auc:0.916605
[700] eval-auc:0.708202 train-auc:0.916498
[701] eval-auc:0.708178 train-auc:0.916642
[702] eval-auc:0.70831 train-auc:0.916831
[703] eval-auc:0.708263 train-auc:0.916868
[704] eval-auc:0.708326 train-auc:0.917063
[705] eval-auc:0.708312 train-auc:0.917207
[706] eval-auc:0.70814 train-auc:0.917311
[707] eval-auc:0.708102 train-auc:0.917252
[708] eval-auc:0.707979 train-auc:0.917489
[709] eval-auc:0.708105 train-auc:0.917659
[710] eval-auc:0.708138 train-auc:0.917848
[711] eval-auc:0.708143 train-auc:0.917938
[712] eval-auc:0.708221 train-auc:0.918095
[713] eval-auc:0.708052 train-auc:0.918204
[714] eval-auc:0.707909 train-auc:0.918263
[715] eval-auc:0.707829 train-auc:0.918413
[716] eval-auc:0.707898 train-auc:0.918435
[717] eval-auc:0.707837 train-auc:0.918605
[718] eval-auc:0.707846 train-auc:0.918718
[719] eval-auc:0.707877 train-auc:0.918885
[720] eval-auc:0.707803 train-auc:0.918985
[721] eval-auc:0.707538 train-auc:0.919106
[722] eval-auc:0.707511 train-auc:0.919216
[723] eval-auc:0.707497 train-auc:0.919279
[724] eval-auc:0.707406 train-auc:0.919345
[725] eval-auc:0.707371 train-auc:0.919321
[726] eval-auc:0.707266 train-auc:0.919289
[727] eval-auc:0.707298 train-auc:0.919322
[728] eval-auc:0.707199 train-auc:0.919338
[729] eval-auc:0.707068 train-auc:0.919513
[730] eval-auc:0.707255 train-auc:0.91953
[731] eval-auc:0.707284 train-auc:0.919618
[732] eval-auc:0.707222 train-auc:0.919614
[733] eval-auc:0.707168 train-auc:0.919639
[734] eval-auc:0.70726 train-auc:0.919705
[735] eval-auc:0.707337 train-auc:0.919875
[736] eval-auc:0.707298 train-auc:0.919916
[737] eval-auc:0.707398 train-auc:0.919998
[738] eval-auc:0.707465 train-auc:0.92017
[739] eval-auc:0.707627 train-auc:0.920369
[740] eval-auc:0.707642 train-auc:0.920359
[741] eval-auc:0.707569 train-auc:0.92042
[742] eval-auc:0.707721 train-auc:0.920596
[743] eval-auc:0.707701 train-auc:0.920752
[744] eval-auc:0.707892 train-auc:0.920882
[745] eval-auc:0.707873 train-auc:0.920887
[746] eval-auc:0.707851 train-auc:0.920888
[747] eval-auc:0.70777 train-auc:0.920996
[748] eval-auc:0.707657 train-auc:0.921175
[749] eval-auc:0.707689 train-auc:0.921193
[750] eval-auc:0.707485 train-auc:0.921257
[751] eval-auc:0.707226 train-auc:0.921374
[752] eval-auc:0.70724 train-auc:0.921475
[753] eval-auc:0.707479 train-auc:0.921612
Score 0.707479077586522
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 1.0, 'eta': 0.1, 'eval_metric': 'auc', 'gamma': 0.65, 'max_depth': 10, 'min_child_weight': 4.0, 'n_estimators': 773.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.8, 'tree_method': 'exact'}
[0] eval-auc:0.701809 train-auc:0.833411
[1] eval-auc:0.717448 train-auc:0.895221
[2] eval-auc:0.714952 train-auc:0.918392
[3] eval-auc:0.707977 train-auc:0.933475
[4] eval-auc:0.704839 train-auc:0.946697
[5] eval-auc:0.702821 train-auc:0.955351
[6] eval-auc:0.704787 train-auc:0.962044
[7] eval-auc:0.704545 train-auc:0.967962
[8] eval-auc:0.704996 train-auc:0.972581
[9] eval-auc:0.706352 train-auc:0.976669
[10] eval-auc:0.704836 train-auc:0.979711
[11] eval-auc:0.705248 train-auc:0.981998
[12] eval-auc:0.708924 train-auc:0.98508
[13] eval-auc:0.708664 train-auc:0.986478
[14] eval-auc:0.709882 train-auc:0.989254
[15] eval-auc:0.709567 train-auc:0.9905
[16] eval-auc:0.710121 train-auc:0.991728
[17] eval-auc:0.710011 train-auc:0.992692
[18] eval-auc:0.709162 train-auc:0.993421
[19] eval-auc:0.709929 train-auc:0.994373
[20] eval-auc:0.709317 train-auc:0.99488
[21] eval-auc:0.709495 train-auc:0.99539
[22] eval-auc:0.709445 train-auc:0.995693
[23] eval-auc:0.708402 train-auc:0.996011
[24] eval-auc:0.70828 train-auc:0.996415
[25] eval-auc:0.709372 train-auc:0.99698
[26] eval-auc:0.708588 train-auc:0.997128
[27] eval-auc:0.707404 train-auc:0.997734
[28] eval-auc:0.70632 train-auc:0.997925
[29] eval-auc:0.704342 train-auc:0.997971
[30] eval-auc:0.703295 train-auc:0.998088
[31] eval-auc:0.704166 train-auc:0.998278
[32] eval-auc:0.7056 train-auc:0.998463
[33] eval-auc:0.706377 train-auc:0.998673
[34] eval-auc:0.705487 train-auc:0.998847
[35] eval-auc:0.705949 train-auc:0.998896
[36] eval-auc:0.706453 train-auc:0.998913
[37] eval-auc:0.707214 train-auc:0.998971
[38] eval-auc:0.707741 train-auc:0.999074
[39] eval-auc:0.706734 train-auc:0.999114
[40] eval-auc:0.707535 train-auc:0.999251
[41] eval-auc:0.708082 train-auc:0.999298
[42] eval-auc:0.707056 train-auc:0.999354
[43] eval-auc:0.707965 train-auc:0.999447
[44] eval-auc:0.708848 train-auc:0.999477
[45] eval-auc:0.709532 train-auc:0.999502
[46] eval-auc:0.709005 train-auc:0.999593
[47] eval-auc:0.709766 train-auc:0.999636
[48] eval-auc:0.709439 train-auc:0.99965
[49] eval-auc:0.710159 train-auc:0.999655
[50] eval-auc:0.708811 train-auc:0.999659
[51] eval-auc:0.708839 train-auc:0.999673
[52] eval-auc:0.708901 train-auc:0.999702
[53] eval-auc:0.707985 train-auc:0.999768
[54] eval-auc:0.708483 train-auc:0.999804
[55] eval-auc:0.708716 train-auc:0.999834
[56] eval-auc:0.708318 train-auc:0.999871
[57] eval-auc:0.708055 train-auc:0.999878
[58] eval-auc:0.707334 train-auc:0.999881
[59] eval-auc:0.705937 train-auc:0.99988
[60] eval-auc:0.70579 train-auc:0.999884
[61] eval-auc:0.704683 train-auc:0.999901
[62] eval-auc:0.703919 train-auc:0.9999
[63] eval-auc:0.703197 train-auc:0.99992
[64] eval-auc:0.702861 train-auc:0.999923
[65] eval-auc:0.703305 train-auc:0.999936
[66] eval-auc:0.703651 train-auc:0.99994
[67] eval-auc:0.703313 train-auc:0.999944
[68] eval-auc:0.702737 train-auc:0.999942
[69] eval-auc:0.702855 train-auc:0.999948
[70] eval-auc:0.701181 train-auc:0.99995
[71] eval-auc:0.701291 train-auc:0.999954
[72] eval-auc:0.700419 train-auc:0.999954
[73] eval-auc:0.699925 train-auc:0.999952
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[520] eval-auc:0.697794 train-auc:1
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[538] eval-auc:0.697354 train-auc:1
[539] eval-auc:0.697354 train-auc:1
[540] eval-auc:0.697281 train-auc:1
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[542] eval-auc:0.697278 train-auc:1
[543] eval-auc:0.697295 train-auc:1
[544] eval-auc:0.697281 train-auc:1
[545] eval-auc:0.697309 train-auc:1
[546] eval-auc:0.697319 train-auc:1
[547] eval-auc:0.697399 train-auc:1
[548] eval-auc:0.697347 train-auc:1
[549] eval-auc:0.697359 train-auc:1
[550] eval-auc:0.697361 train-auc:1
[551] eval-auc:0.697281 train-auc:1
[552] eval-auc:0.697385 train-auc:1
[553] eval-auc:0.697342 train-auc:1
[554] eval-auc:0.69737 train-auc:1
[555] eval-auc:0.697516 train-auc:1
[556] eval-auc:0.697615 train-auc:1
[557] eval-auc:0.69751 train-auc:1
[558] eval-auc:0.697379 train-auc:1
[559] eval-auc:0.697414 train-auc:1
[560] eval-auc:0.697446 train-auc:1
[561] eval-auc:0.697539 train-auc:1
[562] eval-auc:0.697385 train-auc:1
[563] eval-auc:0.697385 train-auc:1
[564] eval-auc:0.697385 train-auc:1
[565] eval-auc:0.698008 train-auc:1
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[567] eval-auc:0.698222 train-auc:1
[568] eval-auc:0.698295 train-auc:1
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[571] eval-auc:0.698164 train-auc:1
[572] eval-auc:0.698241 train-auc:1
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[575] eval-auc:0.698512 train-auc:1
[576] eval-auc:0.698251 train-auc:1
[577] eval-auc:0.698404 train-auc:1
[578] eval-auc:0.698426 train-auc:1
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[580] eval-auc:0.698321 train-auc:1
[581] eval-auc:0.698244 train-auc:1
[582] eval-auc:0.698233 train-auc:1
[583] eval-auc:0.698161 train-auc:1
[584] eval-auc:0.698161 train-auc:1
[585] eval-auc:0.698161 train-auc:1
[586] eval-auc:0.698181 train-auc:1
[587] eval-auc:0.698195 train-auc:1
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[590] eval-auc:0.698158 train-auc:1
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[598] eval-auc:0.698302 train-auc:1
[599] eval-auc:0.698195 train-auc:1
[600] eval-auc:0.698084 train-auc:1
[601] eval-auc:0.698058 train-auc:1
[602] eval-auc:0.697959 train-auc:1
[603] eval-auc:0.697959 train-auc:1
[604] eval-auc:0.697909 train-auc:1
[605] eval-auc:0.698029 train-auc:1
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[609] eval-auc:0.697866 train-auc:1
[610] eval-auc:0.697747 train-auc:1
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[612] eval-auc:0.697784 train-auc:1
[613] eval-auc:0.69793 train-auc:1
[614] eval-auc:0.69793 train-auc:1
[615] eval-auc:0.697785 train-auc:1
[616] eval-auc:0.69781 train-auc:1
[617] eval-auc:0.69781 train-auc:1
[618] eval-auc:0.697985 train-auc:1
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[620] eval-auc:0.698011 train-auc:1
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[622] eval-auc:0.698062 train-auc:1
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[624] eval-auc:0.698125 train-auc:1
[625] eval-auc:0.698183 train-auc:1
[626] eval-auc:0.698117 train-auc:1
[627] eval-auc:0.698128 train-auc:1
[628] eval-auc:0.698018 train-auc:1
[629] eval-auc:0.698043 train-auc:1
[630] eval-auc:0.698113 train-auc:1
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[632] eval-auc:0.697808 train-auc:1
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[635] eval-auc:0.697667 train-auc:1
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[638] eval-auc:0.69796 train-auc:1
[639] eval-auc:0.698011 train-auc:1
[640] eval-auc:0.697837 train-auc:1
[641] eval-auc:0.697743 train-auc:1
[642] eval-auc:0.697424 train-auc:1
[643] eval-auc:0.697523 train-auc:1
[644] eval-auc:0.697831 train-auc:1
[645] eval-auc:0.697558 train-auc:1
[646] eval-auc:0.697657 train-auc:1
[647] eval-auc:0.697761 train-auc:1
[648] eval-auc:0.697683 train-auc:1
[649] eval-auc:0.697828 train-auc:1
[650] eval-auc:0.697927 train-auc:1
[651] eval-auc:0.697999 train-auc:1
[652] eval-auc:0.697999 train-auc:1
[653] eval-auc:0.698027 train-auc:1
[654] eval-auc:0.698026 train-auc:1
[655] eval-auc:0.698026 train-auc:1
[656] eval-auc:0.697756 train-auc:1
[657] eval-auc:0.697878 train-auc:1
[658] eval-auc:0.698116 train-auc:1
[659] eval-auc:0.698116 train-auc:1
[660] eval-auc:0.698116 train-auc:1
[661] eval-auc:0.697924 train-auc:1
[662] eval-auc:0.698035 train-auc:1
[663] eval-auc:0.69802 train-auc:1
[664] eval-auc:0.698096 train-auc:1
[665] eval-auc:0.698096 train-auc:1
[666] eval-auc:0.698096 train-auc:1
[667] eval-auc:0.698104 train-auc:1
[668] eval-auc:0.698023 train-auc:1
[669] eval-auc:0.698117 train-auc:1
[670] eval-auc:0.697973 train-auc:1
[671] eval-auc:0.697834 train-auc:1
[672] eval-auc:0.697834 train-auc:1
[673] eval-auc:0.697901 train-auc:1
[674] eval-auc:0.697868 train-auc:1
[675] eval-auc:0.697868 train-auc:1
[676] eval-auc:0.697904 train-auc:1
[677] eval-auc:0.697965 train-auc:1
[678] eval-auc:0.697711 train-auc:1
[679] eval-auc:0.697682 train-auc:1
[680] eval-auc:0.697682 train-auc:1
[681] eval-auc:0.697622 train-auc:1
[682] eval-auc:0.697799 train-auc:1
[683] eval-auc:0.697648 train-auc:1
[684] eval-auc:0.697648 train-auc:1
[685] eval-auc:0.697747 train-auc:1
[686] eval-auc:0.697817 train-auc:1
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[689] eval-auc:0.697784 train-auc:1
[690] eval-auc:0.697848 train-auc:1
[691] eval-auc:0.697764 train-auc:1
[692] eval-auc:0.697831 train-auc:1
[693] eval-auc:0.697613 train-auc:1
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[695] eval-auc:0.697495 train-auc:1
[696] eval-auc:0.697383 train-auc:1
[697] eval-auc:0.697389 train-auc:1
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[699] eval-auc:0.697269 train-auc:1
[700] eval-auc:0.697234 train-auc:1
[701] eval-auc:0.697234 train-auc:1
[702] eval-auc:0.697234 train-auc:1
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[704] eval-auc:0.697242 train-auc:1
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[706] eval-auc:0.697202 train-auc:1
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[708] eval-auc:0.697112 train-auc:1
[709] eval-auc:0.697112 train-auc:1
[710] eval-auc:0.69712 train-auc:1
[711] eval-auc:0.69721 train-auc:1
[712] eval-auc:0.69721 train-auc:1
[713] eval-auc:0.697319 train-auc:1
[714] eval-auc:0.69731 train-auc:1
[715] eval-auc:0.69731 train-auc:1
[716] eval-auc:0.697326 train-auc:1
[717] eval-auc:0.697249 train-auc:1
[718] eval-auc:0.697315 train-auc:1
[719] eval-auc:0.697348 train-auc:1
[720] eval-auc:0.697409 train-auc:1
[721] eval-auc:0.697409 train-auc:1
[722] eval-auc:0.697376 train-auc:1
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[724] eval-auc:0.697303 train-auc:1
[725] eval-auc:0.697303 train-auc:1
[726] eval-auc:0.697303 train-auc:1
[727] eval-auc:0.697303 train-auc:1
[728] eval-auc:0.69749 train-auc:1
[729] eval-auc:0.69749 train-auc:1
[730] eval-auc:0.697601 train-auc:1
[731] eval-auc:0.697612 train-auc:1
[732] eval-auc:0.697753 train-auc:1
[733] eval-auc:0.697679 train-auc:1
[734] eval-auc:0.697612 train-auc:1
[735] eval-auc:0.697495 train-auc:1
[736] eval-auc:0.697495 train-auc:1
[737] eval-auc:0.697495 train-auc:1
[738] eval-auc:0.697495 train-auc:1
[739] eval-auc:0.697479 train-auc:1
[740] eval-auc:0.697467 train-auc:1
[741] eval-auc:0.697493 train-auc:1
[742] eval-auc:0.697549 train-auc:1
[743] eval-auc:0.697464 train-auc:1
[744] eval-auc:0.69751 train-auc:1
[745] eval-auc:0.69751 train-auc:1
[746] eval-auc:0.697511 train-auc:1
[747] eval-auc:0.697467 train-auc:1
[748] eval-auc:0.697487 train-auc:1
[749] eval-auc:0.698052 train-auc:1
[750] eval-auc:0.698014 train-auc:1
[751] eval-auc:0.698014 train-auc:1
[752] eval-auc:0.698014 train-auc:1
[753] eval-auc:0.698014 train-auc:1
[754] eval-auc:0.697907 train-auc:1
[755] eval-auc:0.6979 train-auc:1
[756] eval-auc:0.6979 train-auc:1
[757] eval-auc:0.697872 train-auc:1
[758] eval-auc:0.697834 train-auc:1
[759] eval-auc:0.697834 train-auc:1
[760] eval-auc:0.697957 train-auc:1
[761] eval-auc:0.698049 train-auc:1
[762] eval-auc:0.697974 train-auc:1
[763] eval-auc:0.697932 train-auc:1
[764] eval-auc:0.698008 train-auc:1
[765] eval-auc:0.698024 train-auc:1
[766] eval-auc:0.697932 train-auc:1
[767] eval-auc:0.697932 train-auc:1
[768] eval-auc:0.697932 train-auc:1
[769] eval-auc:0.697731 train-auc:1
[770] eval-auc:0.697731 train-auc:1
[771] eval-auc:0.697683 train-auc:1
[772] eval-auc:0.697683 train-auc:1
Score 0.697683307142248
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8, 'eta': 0.025, 'eval_metric': 'auc', 'gamma': 0.65, 'max_depth': 13, 'min_child_weight': 5.0, 'n_estimators': 412.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9, 'tree_method': 'exact'}
[0] eval-auc:0.634922 train-auc:0.819319
[1] eval-auc:0.642337 train-auc:0.902155
[2] eval-auc:0.638668 train-auc:0.939837
[3] eval-auc:0.663607 train-auc:0.955961
[4] eval-auc:0.689986 train-auc:0.969269
[5] eval-auc:0.675758 train-auc:0.979595
[6] eval-auc:0.680552 train-auc:0.981544
[7] eval-auc:0.671753 train-auc:0.984249
[8] eval-auc:0.67901 train-auc:0.988016
[9] eval-auc:0.684587 train-auc:0.991083
[10] eval-auc:0.692939 train-auc:0.993342
[11] eval-auc:0.689669 train-auc:0.994944
[12] eval-auc:0.686617 train-auc:0.995066
[13] eval-auc:0.689241 train-auc:0.996042
[14] eval-auc:0.686375 train-auc:0.995968
[15] eval-auc:0.684806 train-auc:0.996694
[16] eval-auc:0.683791 train-auc:0.99686
[17] eval-auc:0.688285 train-auc:0.997208
[18] eval-auc:0.686426 train-auc:0.997457
[19] eval-auc:0.688953 train-auc:0.997563
[20] eval-auc:0.690057 train-auc:0.99782
[21] eval-auc:0.69572 train-auc:0.99823
[22] eval-auc:0.695524 train-auc:0.998292
[23] eval-auc:0.696435 train-auc:0.998488
[24] eval-auc:0.698513 train-auc:0.998826
[25] eval-auc:0.698386 train-auc:0.998892
[26] eval-auc:0.697074 train-auc:0.999054
[27] eval-auc:0.698411 train-auc:0.999252
[28] eval-auc:0.699421 train-auc:0.999268
[29] eval-auc:0.698658 train-auc:0.999278
[30] eval-auc:0.697756 train-auc:0.999303
[31] eval-auc:0.697307 train-auc:0.999438
[32] eval-auc:0.698259 train-auc:0.999436
[33] eval-auc:0.699183 train-auc:0.999469
[34] eval-auc:0.698382 train-auc:0.999543
[35] eval-auc:0.69918 train-auc:0.999566
[36] eval-auc:0.699843 train-auc:0.999585
[37] eval-auc:0.7001 train-auc:0.999614
[38] eval-auc:0.699556 train-auc:0.999639
[39] eval-auc:0.699818 train-auc:0.999642
[40] eval-auc:0.700718 train-auc:0.999638
[41] eval-auc:0.700714 train-auc:0.999699
[42] eval-auc:0.700158 train-auc:0.999719
[43] eval-auc:0.700665 train-auc:0.999741
[44] eval-auc:0.700864 train-auc:0.99974
[45] eval-auc:0.700161 train-auc:0.999754
[46] eval-auc:0.700502 train-auc:0.999769
[47] eval-auc:0.70116 train-auc:0.999813
[48] eval-auc:0.700657 train-auc:0.999811
[49] eval-auc:0.701414 train-auc:0.999837
[50] eval-auc:0.70008 train-auc:0.999844
[51] eval-auc:0.699205 train-auc:0.999837
[52] eval-auc:0.69967 train-auc:0.999844
[53] eval-auc:0.699553 train-auc:0.999857
[54] eval-auc:0.699342 train-auc:0.999868
[55] eval-auc:0.698909 train-auc:0.999884
[56] eval-auc:0.698442 train-auc:0.99989
[57] eval-auc:0.697306 train-auc:0.999894
[58] eval-auc:0.6965 train-auc:0.999906
[59] eval-auc:0.696645 train-auc:0.99991
[60] eval-auc:0.696582 train-auc:0.999912
[61] eval-auc:0.69571 train-auc:0.999917
[62] eval-auc:0.695859 train-auc:0.99992
[63] eval-auc:0.697266 train-auc:0.999943
[64] eval-auc:0.69731 train-auc:0.999951
[65] eval-auc:0.698352 train-auc:0.999947
[66] eval-auc:0.697632 train-auc:0.999945
[67] eval-auc:0.696508 train-auc:0.999946
[68] eval-auc:0.696237 train-auc:0.999951
[69] eval-auc:0.696101 train-auc:0.999952
[70] eval-auc:0.695937 train-auc:0.99996
[71] eval-auc:0.696136 train-auc:0.999962
[72] eval-auc:0.696336 train-auc:0.999958
[73] eval-auc:0.695911 train-auc:0.999958
[74] eval-auc:0.696579 train-auc:0.99996
[75] eval-auc:0.69613 train-auc:0.999963
[76] eval-auc:0.695949 train-auc:0.999964
[77] eval-auc:0.696247 train-auc:0.999962
[78] eval-auc:0.696033 train-auc:0.99996
[79] eval-auc:0.695984 train-auc:0.999958
[80] eval-auc:0.696658 train-auc:0.999961
[81] eval-auc:0.697088 train-auc:0.99996
[82] eval-auc:0.696684 train-auc:0.999964
[83] eval-auc:0.697201 train-auc:0.999966
[84] eval-auc:0.697526 train-auc:0.999967
[85] eval-auc:0.697086 train-auc:0.999967
[86] eval-auc:0.697191 train-auc:0.999968
[87] eval-auc:0.697605 train-auc:0.999972
[88] eval-auc:0.697732 train-auc:0.999973
[89] eval-auc:0.697441 train-auc:0.999976
[90] eval-auc:0.697443 train-auc:0.999979
[91] eval-auc:0.696605 train-auc:0.999979
[92] eval-auc:0.696546 train-auc:0.999982
[93] eval-auc:0.697178 train-auc:0.999983
[94] eval-auc:0.696895 train-auc:0.999983
[95] eval-auc:0.697461 train-auc:0.999982
[96] eval-auc:0.697606 train-auc:0.999979
[97] eval-auc:0.697903 train-auc:0.999981
[98] eval-auc:0.697813 train-auc:0.999983
[99] eval-auc:0.698081 train-auc:0.999983
[100] eval-auc:0.697991 train-auc:0.99999
[101] eval-auc:0.698129 train-auc:0.999989
[102] eval-auc:0.698818 train-auc:0.999993
[103] eval-auc:0.699751 train-auc:0.999995
[104] eval-auc:0.699549 train-auc:0.999995
[105] eval-auc:0.700417 train-auc:0.999995
[106] eval-auc:0.700581 train-auc:0.999995
[107] eval-auc:0.70042 train-auc:0.999994
[108] eval-auc:0.69973 train-auc:0.999994
[109] eval-auc:0.699791 train-auc:0.999994
[110] eval-auc:0.700094 train-auc:0.999995
[111] eval-auc:0.700345 train-auc:0.999995
[112] eval-auc:0.700115 train-auc:0.999994
[113] eval-auc:0.700039 train-auc:0.999996
[114] eval-auc:0.700596 train-auc:0.999995
[115] eval-auc:0.700287 train-auc:0.999996
[116] eval-auc:0.700478 train-auc:0.999997
[117] eval-auc:0.700619 train-auc:0.999997
[118] eval-auc:0.700959 train-auc:0.999997
[119] eval-auc:0.700601 train-auc:0.999998
[120] eval-auc:0.700742 train-auc:0.999998
[121] eval-auc:0.700695 train-auc:0.999998
[122] eval-auc:0.70084 train-auc:0.999999
[123] eval-auc:0.700872 train-auc:0.999999
[124] eval-auc:0.700538 train-auc:0.999999
[125] eval-auc:0.700962 train-auc:0.999999
[126] eval-auc:0.700624 train-auc:0.999999
[127] eval-auc:0.700398 train-auc:0.999999
[128] eval-auc:0.700136 train-auc:0.999999
[129] eval-auc:0.700098 train-auc:0.999999
[130] eval-auc:0.699859 train-auc:0.999999
[131] eval-auc:0.699593 train-auc:0.999999
[132] eval-auc:0.699865 train-auc:0.999999
[133] eval-auc:0.699623 train-auc:0.999999
[134] eval-auc:0.699504 train-auc:0.999999
[135] eval-auc:0.698961 train-auc:0.999999
[136] eval-auc:0.699201 train-auc:0.999999
[137] eval-auc:0.699486 train-auc:0.999999
[138] eval-auc:0.69901 train-auc:0.999999
[139] eval-auc:0.699555 train-auc:0.999999
[140] eval-auc:0.699884 train-auc:0.999999
[141] eval-auc:0.699578 train-auc:1
[142] eval-auc:0.699664 train-auc:1
[143] eval-auc:0.699696 train-auc:1
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[192] eval-auc:0.698239 train-auc:1
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[200] eval-auc:0.697655 train-auc:1
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[220] eval-auc:0.697663 train-auc:1
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[238] eval-auc:0.696969 train-auc:1
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[240] eval-auc:0.696703 train-auc:1
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[248] eval-auc:0.696403 train-auc:1
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[250] eval-auc:0.696598 train-auc:1
[251] eval-auc:0.696856 train-auc:1
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[255] eval-auc:0.696735 train-auc:1
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[257] eval-auc:0.696902 train-auc:1
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[260] eval-auc:0.696692 train-auc:1
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[262] eval-auc:0.696625 train-auc:1
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[275] eval-auc:0.696389 train-auc:1
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[277] eval-auc:0.696331 train-auc:1
[278] eval-auc:0.696317 train-auc:1
[279] eval-auc:0.696267 train-auc:1
[280] eval-auc:0.696177 train-auc:1
[281] eval-auc:0.695993 train-auc:1
[282] eval-auc:0.695941 train-auc:1
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[284] eval-auc:0.696112 train-auc:1
[285] eval-auc:0.696372 train-auc:1
[286] eval-auc:0.696578 train-auc:1
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[290] eval-auc:0.696598 train-auc:1
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[293] eval-auc:0.696521 train-auc:1
[294] eval-auc:0.69643 train-auc:1
[295] eval-auc:0.696412 train-auc:1
[296] eval-auc:0.696395 train-auc:1
[297] eval-auc:0.696514 train-auc:1
[298] eval-auc:0.696499 train-auc:1
[299] eval-auc:0.696587 train-auc:1
[300] eval-auc:0.696566 train-auc:1
[301] eval-auc:0.696425 train-auc:1
[302] eval-auc:0.696761 train-auc:1
[303] eval-auc:0.696775 train-auc:1
[304] eval-auc:0.696998 train-auc:1
[305] eval-auc:0.696905 train-auc:1
[306] eval-auc:0.696869 train-auc:1
[307] eval-auc:0.696756 train-auc:1
[308] eval-auc:0.696847 train-auc:1
[309] eval-auc:0.696852 train-auc:1
[310] eval-auc:0.696927 train-auc:1
[311] eval-auc:0.696935 train-auc:1
[312] eval-auc:0.696951 train-auc:1
[313] eval-auc:0.697036 train-auc:1
[314] eval-auc:0.69699 train-auc:1
[315] eval-auc:0.696987 train-auc:1
[316] eval-auc:0.69712 train-auc:1
[317] eval-auc:0.697045 train-auc:1
[318] eval-auc:0.696981 train-auc:1
[319] eval-auc:0.696829 train-auc:1
[320] eval-auc:0.696724 train-auc:1
[321] eval-auc:0.696858 train-auc:1
[322] eval-auc:0.69685 train-auc:1
[323] eval-auc:0.696824 train-auc:1
[324] eval-auc:0.69664 train-auc:1
[325] eval-auc:0.696547 train-auc:1
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[327] eval-auc:0.696907 train-auc:1
[328] eval-auc:0.696869 train-auc:1
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[330] eval-auc:0.696872 train-auc:1
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[335] eval-auc:0.696601 train-auc:1
[336] eval-auc:0.696526 train-auc:1
[337] eval-auc:0.696422 train-auc:1
[338] eval-auc:0.696595 train-auc:1
[339] eval-auc:0.696578 train-auc:1
[340] eval-auc:0.696499 train-auc:1
[341] eval-auc:0.696523 train-auc:1
[342] eval-auc:0.696555 train-auc:1
[343] eval-auc:0.696502 train-auc:1
[344] eval-auc:0.69659 train-auc:1
[345] eval-auc:0.696526 train-auc:1
[346] eval-auc:0.696665 train-auc:1
[347] eval-auc:0.69662 train-auc:1
[348] eval-auc:0.696632 train-auc:1
[349] eval-auc:0.696716 train-auc:1
[350] eval-auc:0.696669 train-auc:1
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[352] eval-auc:0.696739 train-auc:1
[353] eval-auc:0.69698 train-auc:1
[354] eval-auc:0.696805 train-auc:1
[355] eval-auc:0.696818 train-auc:1
[356] eval-auc:0.696677 train-auc:1
[357] eval-auc:0.696613 train-auc:1
[358] eval-auc:0.696639 train-auc:1
[359] eval-auc:0.696735 train-auc:1
[360] eval-auc:0.696885 train-auc:1
[361] eval-auc:0.696866 train-auc:1
[362] eval-auc:0.696742 train-auc:1
[363] eval-auc:0.696681 train-auc:1
[364] eval-auc:0.696732 train-auc:1
[365] eval-auc:0.696796 train-auc:1
[366] eval-auc:0.696642 train-auc:1
[367] eval-auc:0.696643 train-auc:1
[368] eval-auc:0.696642 train-auc:1
[369] eval-auc:0.69656 train-auc:1
[370] eval-auc:0.696597 train-auc:1
[371] eval-auc:0.69648 train-auc:1
[372] eval-auc:0.696509 train-auc:1
[373] eval-auc:0.696675 train-auc:1
[374] eval-auc:0.696846 train-auc:1
[375] eval-auc:0.696732 train-auc:1
[376] eval-auc:0.696736 train-auc:1
[377] eval-auc:0.696631 train-auc:1
[378] eval-auc:0.696605 train-auc:1
[379] eval-auc:0.696567 train-auc:1
[380] eval-auc:0.696645 train-auc:1
[381] eval-auc:0.696482 train-auc:1
[382] eval-auc:0.696439 train-auc:1
[383] eval-auc:0.696535 train-auc:1
[384] eval-auc:0.696581 train-auc:1
[385] eval-auc:0.69663 train-auc:1
[386] eval-auc:0.696744 train-auc:1
[387] eval-auc:0.696824 train-auc:1
[388] eval-auc:0.696724 train-auc:1
[389] eval-auc:0.696756 train-auc:1
[390] eval-auc:0.696703 train-auc:1
[391] eval-auc:0.696698 train-auc:1
[392] eval-auc:0.696732 train-auc:1
[393] eval-auc:0.69678 train-auc:1
[394] eval-auc:0.696648 train-auc:1
[395] eval-auc:0.696634 train-auc:1
[396] eval-auc:0.696585 train-auc:1
[397] eval-auc:0.696587 train-auc:1
[398] eval-auc:0.696863 train-auc:1
[399] eval-auc:0.696882 train-auc:1
[400] eval-auc:0.696989 train-auc:1
[401] eval-auc:0.696942 train-auc:1
[402] eval-auc:0.696997 train-auc:1
[403] eval-auc:0.696923 train-auc:1
[404] eval-auc:0.696957 train-auc:1
[405] eval-auc:0.696901 train-auc:1
[406] eval-auc:0.696946 train-auc:1
[407] eval-auc:0.696911 train-auc:1
[408] eval-auc:0.696934 train-auc:1
[409] eval-auc:0.697144 train-auc:1
[410] eval-auc:0.697175 train-auc:1
[411] eval-auc:0.697118 train-auc:1
Score 0.6971183715235902
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.75, 'eta': 0.125, 'eval_metric': 'auc', 'gamma': 0.8, 'max_depth': 2, 'min_child_weight': 4.0, 'n_estimators': 716.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.7000000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.669357 train-auc:0.684642
[1] eval-auc:0.666109 train-auc:0.693078
[2] eval-auc:0.671167 train-auc:0.703166
[3] eval-auc:0.672127 train-auc:0.702037
[4] eval-auc:0.69086 train-auc:0.710709
[5] eval-auc:0.692935 train-auc:0.709638
[6] eval-auc:0.694559 train-auc:0.710767
[7] eval-auc:0.696333 train-auc:0.713441
[8] eval-auc:0.698436 train-auc:0.713567
[9] eval-auc:0.700355 train-auc:0.71557
[10] eval-auc:0.697361 train-auc:0.715586
[11] eval-auc:0.701375 train-auc:0.717732
[12] eval-auc:0.695546 train-auc:0.715841
[13] eval-auc:0.697632 train-auc:0.71713
[14] eval-auc:0.697717 train-auc:0.717711
[15] eval-auc:0.696871 train-auc:0.720249
[16] eval-auc:0.69539 train-auc:0.720407
[17] eval-auc:0.699654 train-auc:0.722795
[18] eval-auc:0.69859 train-auc:0.724089
[19] eval-auc:0.694785 train-auc:0.723274
[20] eval-auc:0.69475 train-auc:0.722801
[21] eval-auc:0.693733 train-auc:0.722805
[22] eval-auc:0.697136 train-auc:0.723332
[23] eval-auc:0.698585 train-auc:0.724535
[24] eval-auc:0.70056 train-auc:0.725383
[25] eval-auc:0.699617 train-auc:0.725184
[26] eval-auc:0.697622 train-auc:0.726285
[27] eval-auc:0.696684 train-auc:0.726564
[28] eval-auc:0.697743 train-auc:0.727107
[29] eval-auc:0.698081 train-auc:0.727642
[30] eval-auc:0.699078 train-auc:0.72837
[31] eval-auc:0.700637 train-auc:0.728963
[32] eval-auc:0.701454 train-auc:0.730327
[33] eval-auc:0.700571 train-auc:0.730975
[34] eval-auc:0.700666 train-auc:0.73074
[35] eval-auc:0.701517 train-auc:0.73215
[36] eval-auc:0.700446 train-auc:0.732601
[37] eval-auc:0.700979 train-auc:0.733458
[38] eval-auc:0.701089 train-auc:0.734096
[39] eval-auc:0.700408 train-auc:0.734876
[40] eval-auc:0.699719 train-auc:0.735135
[41] eval-auc:0.700034 train-auc:0.735765
[42] eval-auc:0.699886 train-auc:0.736431
[43] eval-auc:0.69987 train-auc:0.736688
[44] eval-auc:0.701131 train-auc:0.737766
[45] eval-auc:0.701945 train-auc:0.739178
[46] eval-auc:0.701909 train-auc:0.740071
[47] eval-auc:0.702562 train-auc:0.740741
[48] eval-auc:0.703196 train-auc:0.741039
[49] eval-auc:0.704377 train-auc:0.742004
[50] eval-auc:0.704715 train-auc:0.74322
[51] eval-auc:0.704456 train-auc:0.743948
[52] eval-auc:0.705181 train-auc:0.744547
[53] eval-auc:0.705809 train-auc:0.74512
[54] eval-auc:0.705902 train-auc:0.747113
[55] eval-auc:0.705343 train-auc:0.747973
[56] eval-auc:0.705054 train-auc:0.748937
[57] eval-auc:0.705313 train-auc:0.749565
[58] eval-auc:0.705516 train-auc:0.749914
[59] eval-auc:0.704721 train-auc:0.750869
[60] eval-auc:0.704873 train-auc:0.751042
[61] eval-auc:0.70478 train-auc:0.751098
[62] eval-auc:0.704917 train-auc:0.751477
[63] eval-auc:0.705271 train-auc:0.75276
[64] eval-auc:0.704756 train-auc:0.754155
[65] eval-auc:0.704222 train-auc:0.755025
[66] eval-auc:0.703911 train-auc:0.755417
[67] eval-auc:0.703575 train-auc:0.755558
[68] eval-auc:0.702206 train-auc:0.756605
[69] eval-auc:0.701722 train-auc:0.757371
[70] eval-auc:0.7023 train-auc:0.758013
[71] eval-auc:0.703462 train-auc:0.759338
[72] eval-auc:0.702963 train-auc:0.759536
[73] eval-auc:0.702908 train-auc:0.759942
[74] eval-auc:0.703305 train-auc:0.761004
[75] eval-auc:0.70315 train-auc:0.760875
[76] eval-auc:0.703473 train-auc:0.76144
[77] eval-auc:0.703703 train-auc:0.761761
[78] eval-auc:0.70394 train-auc:0.763315
[79] eval-auc:0.704109 train-auc:0.763945
[80] eval-auc:0.70453 train-auc:0.763875
[81] eval-auc:0.705394 train-auc:0.764388
[82] eval-auc:0.705291 train-auc:0.764439
[83] eval-auc:0.705567 train-auc:0.765177
[84] eval-auc:0.705796 train-auc:0.76532
[85] eval-auc:0.705589 train-auc:0.766102
[86] eval-auc:0.705687 train-auc:0.766819
[87] eval-auc:0.705018 train-auc:0.768386
[88] eval-auc:0.705908 train-auc:0.769056
[89] eval-auc:0.705815 train-auc:0.769794
[90] eval-auc:0.705777 train-auc:0.770176
[91] eval-auc:0.705749 train-auc:0.770721
[92] eval-auc:0.705439 train-auc:0.770966
[93] eval-auc:0.705722 train-auc:0.772216
[94] eval-auc:0.706265 train-auc:0.77328
[95] eval-auc:0.706518 train-auc:0.77366
[96] eval-auc:0.706741 train-auc:0.773779
[97] eval-auc:0.706313 train-auc:0.774474
[98] eval-auc:0.706535 train-auc:0.775336
[99] eval-auc:0.707051 train-auc:0.776469
[100] eval-auc:0.707027 train-auc:0.77608
[101] eval-auc:0.707254 train-auc:0.775986
[102] eval-auc:0.707986 train-auc:0.776609
[103] eval-auc:0.708158 train-auc:0.777169
[104] eval-auc:0.707928 train-auc:0.777272
[105] eval-auc:0.7069 train-auc:0.777744
[106] eval-auc:0.706277 train-auc:0.778576
[107] eval-auc:0.70618 train-auc:0.778871
[108] eval-auc:0.706357 train-auc:0.77914
[109] eval-auc:0.707085 train-auc:0.779428
[110] eval-auc:0.707246 train-auc:0.779935
[111] eval-auc:0.707773 train-auc:0.780922
[112] eval-auc:0.707963 train-auc:0.782193
[113] eval-auc:0.708349 train-auc:0.783072
[114] eval-auc:0.708085 train-auc:0.783586
[115] eval-auc:0.707085 train-auc:0.78449
[116] eval-auc:0.706626 train-auc:0.784985
[117] eval-auc:0.706401 train-auc:0.785655
[118] eval-auc:0.706023 train-auc:0.785853
[119] eval-auc:0.706803 train-auc:0.785621
[120] eval-auc:0.706786 train-auc:0.785368
[121] eval-auc:0.707105 train-auc:0.785355
[122] eval-auc:0.706788 train-auc:0.785465
[123] eval-auc:0.706377 train-auc:0.786447
[124] eval-auc:0.706809 train-auc:0.787086
[125] eval-auc:0.707156 train-auc:0.787434
[126] eval-auc:0.70678 train-auc:0.788118
[127] eval-auc:0.705882 train-auc:0.788297
[128] eval-auc:0.706302 train-auc:0.789237
[129] eval-auc:0.706154 train-auc:0.790093
[130] eval-auc:0.706349 train-auc:0.790109
[131] eval-auc:0.706459 train-auc:0.790068
[132] eval-auc:0.706788 train-auc:0.790603
[133] eval-auc:0.706782 train-auc:0.791048
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[628] eval-auc:0.694262 train-auc:0.892285
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[671] eval-auc:0.696374 train-auc:0.896414
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[675] eval-auc:0.695093 train-auc:0.896631
[676] eval-auc:0.695629 train-auc:0.896749
[677] eval-auc:0.695579 train-auc:0.897001
[678] eval-auc:0.695902 train-auc:0.89712
[679] eval-auc:0.695824 train-auc:0.897263
[680] eval-auc:0.696121 train-auc:0.897327
[681] eval-auc:0.695848 train-auc:0.89744
[682] eval-auc:0.695652 train-auc:0.897479
[683] eval-auc:0.696059 train-auc:0.89773
[684] eval-auc:0.696234 train-auc:0.897969
[685] eval-auc:0.69615 train-auc:0.898522
[686] eval-auc:0.69595 train-auc:0.898582
[687] eval-auc:0.695832 train-auc:0.898481
[688] eval-auc:0.695909 train-auc:0.898677
[689] eval-auc:0.696324 train-auc:0.898796
[690] eval-auc:0.696285 train-auc:0.898662
[691] eval-auc:0.696359 train-auc:0.898982
[692] eval-auc:0.695826 train-auc:0.898567
[693] eval-auc:0.695454 train-auc:0.898612
[694] eval-auc:0.695492 train-auc:0.898254
[695] eval-auc:0.695079 train-auc:0.898216
[696] eval-auc:0.695067 train-auc:0.89826
[697] eval-auc:0.69463 train-auc:0.898338
[698] eval-auc:0.69428 train-auc:0.898887
[699] eval-auc:0.695014 train-auc:0.898975
[700] eval-auc:0.694881 train-auc:0.89896
[701] eval-auc:0.695224 train-auc:0.899226
[702] eval-auc:0.695775 train-auc:0.899418
[703] eval-auc:0.695727 train-auc:0.89972
[704] eval-auc:0.695943 train-auc:0.899916
[705] eval-auc:0.695963 train-auc:0.89996
[706] eval-auc:0.695687 train-auc:0.900055
[707] eval-auc:0.695379 train-auc:0.900017
[708] eval-auc:0.695311 train-auc:0.899915
[709] eval-auc:0.695489 train-auc:0.90011
[710] eval-auc:0.695323 train-auc:0.90024
[711] eval-auc:0.694961 train-auc:0.900447
[712] eval-auc:0.694825 train-auc:0.900686
[713] eval-auc:0.69495 train-auc:0.900777
[714] eval-auc:0.694944 train-auc:0.900919
[715] eval-auc:0.694737 train-auc:0.900767
Score 0.6947368100476312
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9, 'eta': 0.07500000000000001, 'eval_metric': 'auc', 'gamma': 0.9, 'max_depth': 6, 'min_child_weight': 2.0, 'n_estimators': 862.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.712535 train-auc:0.766122
[1] eval-auc:0.690563 train-auc:0.792954
[2] eval-auc:0.695245 train-auc:0.811029
[3] eval-auc:0.699843 train-auc:0.824218
[4] eval-auc:0.696762 train-auc:0.834431
[5] eval-auc:0.694043 train-auc:0.857896
[6] eval-auc:0.695776 train-auc:0.860775
[7] eval-auc:0.698635 train-auc:0.872319
[8] eval-auc:0.695248 train-auc:0.879786
[9] eval-auc:0.693921 train-auc:0.8826
[10] eval-auc:0.687777 train-auc:0.888688
[11] eval-auc:0.690286 train-auc:0.896421
[12] eval-auc:0.690804 train-auc:0.896744
[13] eval-auc:0.690989 train-auc:0.902821
[14] eval-auc:0.689359 train-auc:0.905176
[15] eval-auc:0.687901 train-auc:0.909209
[16] eval-auc:0.685139 train-auc:0.914213
[17] eval-auc:0.685651 train-auc:0.91746
[18] eval-auc:0.684397 train-auc:0.92035
[19] eval-auc:0.68302 train-auc:0.923654
[20] eval-auc:0.684924 train-auc:0.925009
[21] eval-auc:0.687072 train-auc:0.928306
[22] eval-auc:0.686979 train-auc:0.929226
[23] eval-auc:0.688837 train-auc:0.932526
[24] eval-auc:0.689885 train-auc:0.935853
[25] eval-auc:0.690261 train-auc:0.939014
[26] eval-auc:0.690133 train-auc:0.941521
[27] eval-auc:0.688371 train-auc:0.94331
[28] eval-auc:0.687346 train-auc:0.944538
[29] eval-auc:0.686497 train-auc:0.946038
[30] eval-auc:0.687904 train-auc:0.94724
[31] eval-auc:0.686499 train-auc:0.949097
[32] eval-auc:0.687367 train-auc:0.95124
[33] eval-auc:0.687778 train-auc:0.952464
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[35] eval-auc:0.68615 train-auc:0.95666
[36] eval-auc:0.687087 train-auc:0.95763
[37] eval-auc:0.687554 train-auc:0.959139
[38] eval-auc:0.68754 train-auc:0.959857
[39] eval-auc:0.687138 train-auc:0.961975
[40] eval-auc:0.686986 train-auc:0.961926
[41] eval-auc:0.687952 train-auc:0.962998
[42] eval-auc:0.688877 train-auc:0.963708
[43] eval-auc:0.689429 train-auc:0.964876
[44] eval-auc:0.688589 train-auc:0.966195
[45] eval-auc:0.690159 train-auc:0.966753
[46] eval-auc:0.68929 train-auc:0.967775
[47] eval-auc:0.690293 train-auc:0.968035
[48] eval-auc:0.690118 train-auc:0.969221
[49] eval-auc:0.68964 train-auc:0.969384
[50] eval-auc:0.688273 train-auc:0.969829
[51] eval-auc:0.688556 train-auc:0.970274
[52] eval-auc:0.688896 train-auc:0.971069
[53] eval-auc:0.689304 train-auc:0.971972
[54] eval-auc:0.690073 train-auc:0.972857
[55] eval-auc:0.690441 train-auc:0.972994
[56] eval-auc:0.689797 train-auc:0.973252
[57] eval-auc:0.690036 train-auc:0.973807
[58] eval-auc:0.690469 train-auc:0.974618
[59] eval-auc:0.69061 train-auc:0.975571
[60] eval-auc:0.690662 train-auc:0.975903
[61] eval-auc:0.690627 train-auc:0.977494
[62] eval-auc:0.690689 train-auc:0.977569
[63] eval-auc:0.690388 train-auc:0.978477
[64] eval-auc:0.690406 train-auc:0.978529
[65] eval-auc:0.690938 train-auc:0.978636
[66] eval-auc:0.691069 train-auc:0.979089
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[68] eval-auc:0.689208 train-auc:0.979735
[69] eval-auc:0.688946 train-auc:0.979983
[70] eval-auc:0.689156 train-auc:0.980627
[71] eval-auc:0.68932 train-auc:0.98103
[72] eval-auc:0.689614 train-auc:0.981399
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[77] eval-auc:0.692235 train-auc:0.983498
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[85] eval-auc:0.693034 train-auc:0.986833
[86] eval-auc:0.692422 train-auc:0.987226
[87] eval-auc:0.692395 train-auc:0.987394
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[90] eval-auc:0.692678 train-auc:0.987706
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[100] eval-auc:0.694183 train-auc:0.989733
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[104] eval-auc:0.693796 train-auc:0.990796
[105] eval-auc:0.694454 train-auc:0.991105
[106] eval-auc:0.693846 train-auc:0.991202
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[108] eval-auc:0.6932 train-auc:0.991664
[109] eval-auc:0.693048 train-auc:0.991742
[110] eval-auc:0.693042 train-auc:0.991877
[111] eval-auc:0.694077 train-auc:0.992183
[112] eval-auc:0.693994 train-auc:0.992286
[113] eval-auc:0.69347 train-auc:0.99239
[114] eval-auc:0.693295 train-auc:0.992516
[115] eval-auc:0.693089 train-auc:0.992576
[116] eval-auc:0.693225 train-auc:0.992762
[117] eval-auc:0.69331 train-auc:0.992918
[118] eval-auc:0.693453 train-auc:0.99292
[119] eval-auc:0.693164 train-auc:0.993073
[120] eval-auc:0.693946 train-auc:0.993285
[121] eval-auc:0.69382 train-auc:0.993568
[122] eval-auc:0.693954 train-auc:0.993797
[123] eval-auc:0.693762 train-auc:0.993997
[124] eval-auc:0.693502 train-auc:0.99421
[125] eval-auc:0.693065 train-auc:0.994297
[126] eval-auc:0.693018 train-auc:0.994308
[127] eval-auc:0.692847 train-auc:0.994423
[128] eval-auc:0.692747 train-auc:0.994567
[129] eval-auc:0.693126 train-auc:0.994721
[130] eval-auc:0.692989 train-auc:0.994791
[131] eval-auc:0.692573 train-auc:0.994824
[132] eval-auc:0.6925 train-auc:0.994892
[133] eval-auc:0.691736 train-auc:0.995083
[134] eval-auc:0.691597 train-auc:0.995151
[135] eval-auc:0.691664 train-auc:0.995248
[136] eval-auc:0.691078 train-auc:0.99529
[137] eval-auc:0.691764 train-auc:0.995635
[138] eval-auc:0.692535 train-auc:0.995844
[139] eval-auc:0.692701 train-auc:0.995969
[140] eval-auc:0.692556 train-auc:0.995997
[141] eval-auc:0.692571 train-auc:0.996052
[142] eval-auc:0.692742 train-auc:0.996039
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[527] eval-auc:0.690994 train-auc:0.999999
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[530] eval-auc:0.690846 train-auc:0.999999
[531] eval-auc:0.690925 train-auc:0.999999
[532] eval-auc:0.690944 train-auc:0.999999
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[539] eval-auc:0.690951 train-auc:0.999999
[540] eval-auc:0.691108 train-auc:0.999999
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[560] eval-auc:0.691379 train-auc:0.999999
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[562] eval-auc:0.691422 train-auc:0.999999
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[565] eval-auc:0.691199 train-auc:0.999999
[566] eval-auc:0.691233 train-auc:0.999999
[567] eval-auc:0.691355 train-auc:0.999999
[568] eval-auc:0.69162 train-auc:1
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[574] eval-auc:0.691879 train-auc:0.999999
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[576] eval-auc:0.691793 train-auc:0.999999
[577] eval-auc:0.691918 train-auc:0.999999
[578] eval-auc:0.691848 train-auc:1
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[580] eval-auc:0.691506 train-auc:1
[581] eval-auc:0.691516 train-auc:1
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[583] eval-auc:0.691615 train-auc:1
[584] eval-auc:0.691589 train-auc:1
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[620] eval-auc:0.690901 train-auc:1
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[625] eval-auc:0.69065 train-auc:1
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[627] eval-auc:0.690753 train-auc:1
[628] eval-auc:0.690816 train-auc:1
[629] eval-auc:0.691146 train-auc:1
[630] eval-auc:0.691181 train-auc:1
[631] eval-auc:0.691327 train-auc:1
[632] eval-auc:0.691236 train-auc:1
[633] eval-auc:0.69133 train-auc:1
[634] eval-auc:0.69114 train-auc:1
[635] eval-auc:0.691132 train-auc:1
[636] eval-auc:0.69107 train-auc:1
[637] eval-auc:0.691029 train-auc:1
[638] eval-auc:0.690966 train-auc:1
[639] eval-auc:0.691072 train-auc:1
[640] eval-auc:0.691136 train-auc:1
[641] eval-auc:0.691064 train-auc:1
[642] eval-auc:0.691046 train-auc:1
[643] eval-auc:0.69109 train-auc:1
[644] eval-auc:0.691046 train-auc:1
[645] eval-auc:0.690963 train-auc:1
[646] eval-auc:0.690995 train-auc:1
[647] eval-auc:0.69104 train-auc:1
[648] eval-auc:0.690966 train-auc:1
[649] eval-auc:0.690593 train-auc:1
[650] eval-auc:0.690632 train-auc:1
[651] eval-auc:0.690787 train-auc:1
[652] eval-auc:0.690762 train-auc:1
[653] eval-auc:0.690782 train-auc:1
[654] eval-auc:0.690915 train-auc:1
[655] eval-auc:0.690828 train-auc:1
[656] eval-auc:0.690825 train-auc:1
[657] eval-auc:0.690782 train-auc:1
[658] eval-auc:0.690744 train-auc:1
[659] eval-auc:0.690846 train-auc:1
[660] eval-auc:0.690871 train-auc:1
[661] eval-auc:0.69079 train-auc:1
[662] eval-auc:0.690766 train-auc:1
[663] eval-auc:0.690823 train-auc:1
[664] eval-auc:0.690823 train-auc:1
[665] eval-auc:0.690893 train-auc:1
[666] eval-auc:0.690939 train-auc:1
[667] eval-auc:0.690994 train-auc:1
[668] eval-auc:0.691067 train-auc:1
[669] eval-auc:0.69119 train-auc:1
[670] eval-auc:0.691005 train-auc:1
[671] eval-auc:0.69109 train-auc:1
[672] eval-auc:0.690944 train-auc:1
[673] eval-auc:0.690787 train-auc:1
[674] eval-auc:0.690861 train-auc:1
[675] eval-auc:0.690744 train-auc:1
[676] eval-auc:0.690785 train-auc:1
[677] eval-auc:0.690738 train-auc:1
[678] eval-auc:0.690903 train-auc:1
[679] eval-auc:0.691012 train-auc:1
[680] eval-auc:0.691101 train-auc:1
[681] eval-auc:0.691143 train-auc:1
[682] eval-auc:0.691158 train-auc:1
[683] eval-auc:0.691218 train-auc:1
[684] eval-auc:0.691388 train-auc:1
[685] eval-auc:0.691396 train-auc:1
[686] eval-auc:0.691347 train-auc:1
[687] eval-auc:0.691084 train-auc:1
[688] eval-auc:0.691236 train-auc:1
[689] eval-auc:0.690991 train-auc:1
[690] eval-auc:0.691177 train-auc:1
[691] eval-auc:0.691177 train-auc:1
[692] eval-auc:0.691244 train-auc:1
[693] eval-auc:0.691207 train-auc:1
[694] eval-auc:0.691189 train-auc:1
[695] eval-auc:0.691273 train-auc:1
[696] eval-auc:0.69123 train-auc:1
[697] eval-auc:0.691052 train-auc:1
[698] eval-auc:0.690871 train-auc:1
[699] eval-auc:0.690697 train-auc:1
[700] eval-auc:0.690723 train-auc:1
[701] eval-auc:0.69056 train-auc:1
[702] eval-auc:0.69056 train-auc:1
[703] eval-auc:0.690635 train-auc:1
[704] eval-auc:0.690662 train-auc:1
[705] eval-auc:0.690663 train-auc:1
[706] eval-auc:0.690534 train-auc:1
[707] eval-auc:0.690685 train-auc:1
[708] eval-auc:0.690811 train-auc:1
[709] eval-auc:0.690829 train-auc:1
[710] eval-auc:0.690796 train-auc:1
[711] eval-auc:0.690814 train-auc:1
[712] eval-auc:0.690714 train-auc:1
[713] eval-auc:0.69089 train-auc:1
[714] eval-auc:0.690851 train-auc:1
[715] eval-auc:0.690848 train-auc:1
[716] eval-auc:0.690537 train-auc:1
[717] eval-auc:0.690557 train-auc:1
[718] eval-auc:0.690749 train-auc:1
[719] eval-auc:0.690901 train-auc:1
[720] eval-auc:0.690875 train-auc:1
[721] eval-auc:0.690971 train-auc:1
[722] eval-auc:0.690747 train-auc:1
[723] eval-auc:0.690695 train-auc:1
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[725] eval-auc:0.690528 train-auc:1
[726] eval-auc:0.690446 train-auc:1
[727] eval-auc:0.690482 train-auc:1
[728] eval-auc:0.690461 train-auc:1
[729] eval-auc:0.690406 train-auc:1
[730] eval-auc:0.69042 train-auc:1
[731] eval-auc:0.690353 train-auc:1
[732] eval-auc:0.690117 train-auc:1
[733] eval-auc:0.690219 train-auc:1
[734] eval-auc:0.690181 train-auc:1
[735] eval-auc:0.690134 train-auc:1
[736] eval-auc:0.689966 train-auc:1
[737] eval-auc:0.690044 train-auc:1
[738] eval-auc:0.69015 train-auc:1
[739] eval-auc:0.689977 train-auc:1
[740] eval-auc:0.689931 train-auc:1
[741] eval-auc:0.689968 train-auc:1
[742] eval-auc:0.690201 train-auc:1
[743] eval-auc:0.690092 train-auc:1
[744] eval-auc:0.689732 train-auc:1
[745] eval-auc:0.68978 train-auc:1
[746] eval-auc:0.689715 train-auc:1
[747] eval-auc:0.689587 train-auc:1
[748] eval-auc:0.689587 train-auc:1
[749] eval-auc:0.689546 train-auc:1
[750] eval-auc:0.68951 train-auc:1
[751] eval-auc:0.689619 train-auc:1
[752] eval-auc:0.689628 train-auc:1
[753] eval-auc:0.689628 train-auc:1
[754] eval-auc:0.689645 train-auc:1
[755] eval-auc:0.689692 train-auc:1
[756] eval-auc:0.689709 train-auc:1
[757] eval-auc:0.689703 train-auc:1
[758] eval-auc:0.689666 train-auc:1
[759] eval-auc:0.689588 train-auc:1
[760] eval-auc:0.689864 train-auc:1
[761] eval-auc:0.689617 train-auc:1
[762] eval-auc:0.689637 train-auc:1
[763] eval-auc:0.689607 train-auc:1
[764] eval-auc:0.689488 train-auc:1
[765] eval-auc:0.689413 train-auc:1
[766] eval-auc:0.689741 train-auc:1
[767] eval-auc:0.689864 train-auc:1
[768] eval-auc:0.689802 train-auc:1
[769] eval-auc:0.689826 train-auc:1
[770] eval-auc:0.689642 train-auc:1
[771] eval-auc:0.689677 train-auc:1
[772] eval-auc:0.689783 train-auc:1
[773] eval-auc:0.689882 train-auc:1
[774] eval-auc:0.689733 train-auc:1
[775] eval-auc:0.689797 train-auc:1
[776] eval-auc:0.689757 train-auc:1
[777] eval-auc:0.689942 train-auc:1
[778] eval-auc:0.689846 train-auc:1
[779] eval-auc:0.689881 train-auc:1
[780] eval-auc:0.689888 train-auc:1
[781] eval-auc:0.689791 train-auc:1
[782] eval-auc:0.689911 train-auc:1
[783] eval-auc:0.689858 train-auc:1
[784] eval-auc:0.690112 train-auc:1
[785] eval-auc:0.690035 train-auc:1
[786] eval-auc:0.690053 train-auc:1
[787] eval-auc:0.689905 train-auc:1
[788] eval-auc:0.689933 train-auc:1
[789] eval-auc:0.689952 train-auc:1
[790] eval-auc:0.689916 train-auc:1
[791] eval-auc:0.689759 train-auc:1
[792] eval-auc:0.68969 train-auc:1
[793] eval-auc:0.689608 train-auc:1
[794] eval-auc:0.689521 train-auc:1
[795] eval-auc:0.689537 train-auc:1
[796] eval-auc:0.689605 train-auc:1
[797] eval-auc:0.689771 train-auc:1
[798] eval-auc:0.689989 train-auc:1
[799] eval-auc:0.68998 train-auc:1
[800] eval-auc:0.690032 train-auc:1
[801] eval-auc:0.690033 train-auc:1
[802] eval-auc:0.690025 train-auc:1
[803] eval-auc:0.69001 train-auc:1
[804] eval-auc:0.689814 train-auc:1
[805] eval-auc:0.689786 train-auc:1
[806] eval-auc:0.689701 train-auc:1
[807] eval-auc:0.689846 train-auc:1
[808] eval-auc:0.689861 train-auc:1
[809] eval-auc:0.689861 train-auc:1
[810] eval-auc:0.689908 train-auc:1
[811] eval-auc:0.689809 train-auc:1
[812] eval-auc:0.689745 train-auc:1
[813] eval-auc:0.689736 train-auc:1
[814] eval-auc:0.689753 train-auc:1
[815] eval-auc:0.689844 train-auc:1
[816] eval-auc:0.689684 train-auc:1
[817] eval-auc:0.689802 train-auc:1
[818] eval-auc:0.689736 train-auc:1
[819] eval-auc:0.689627 train-auc:1
[820] eval-auc:0.689875 train-auc:1
[821] eval-auc:0.689651 train-auc:1
[822] eval-auc:0.689651 train-auc:1
[823] eval-auc:0.689697 train-auc:1
[824] eval-auc:0.689689 train-auc:1
[825] eval-auc:0.689803 train-auc:1
[826] eval-auc:0.689745 train-auc:1
[827] eval-auc:0.689642 train-auc:1
[828] eval-auc:0.689579 train-auc:1
[829] eval-auc:0.68954 train-auc:1
[830] eval-auc:0.68954 train-auc:1
[831] eval-auc:0.68954 train-auc:1
[832] eval-auc:0.689543 train-auc:1
[833] eval-auc:0.689247 train-auc:1
[834] eval-auc:0.689122 train-auc:1
[835] eval-auc:0.68908 train-auc:1
[836] eval-auc:0.689097 train-auc:1
[837] eval-auc:0.688915 train-auc:1
[838] eval-auc:0.688988 train-auc:1
[839] eval-auc:0.6892 train-auc:1
[840] eval-auc:0.689307 train-auc:1
[841] eval-auc:0.689252 train-auc:1
[842] eval-auc:0.689228 train-auc:1
[843] eval-auc:0.689285 train-auc:1
[844] eval-auc:0.689678 train-auc:1
[845] eval-auc:0.689716 train-auc:1
[846] eval-auc:0.689479 train-auc:1
[847] eval-auc:0.689407 train-auc:1
[848] eval-auc:0.689662 train-auc:1
[849] eval-auc:0.689672 train-auc:1
[850] eval-auc:0.689716 train-auc:1
[851] eval-auc:0.68964 train-auc:1
[852] eval-auc:0.689611 train-auc:1
[853] eval-auc:0.68968 train-auc:1
[854] eval-auc:0.689627 train-auc:1
[855] eval-auc:0.689476 train-auc:1
[856] eval-auc:0.689547 train-auc:1
[857] eval-auc:0.68941 train-auc:1
[858] eval-auc:0.68941 train-auc:1
[859] eval-auc:0.68941 train-auc:1
[860] eval-auc:0.689339 train-auc:1
[861] eval-auc:0.689421 train-auc:1
Score 0.6894209333771882
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8, 'eta': 0.225, 'eval_metric': 'auc', 'gamma': 0.65, 'max_depth': 3, 'min_child_weight': 1.0, 'n_estimators': 718.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.702485 train-auc:0.723761
[1] eval-auc:0.68419 train-auc:0.72773
[2] eval-auc:0.69533 train-auc:0.740988
[3] eval-auc:0.701666 train-auc:0.741204
[4] eval-auc:0.701613 train-auc:0.741244
[5] eval-auc:0.704118 train-auc:0.74717
[6] eval-auc:0.703435 train-auc:0.757657
[7] eval-auc:0.703607 train-auc:0.765082
[8] eval-auc:0.699511 train-auc:0.770599
[9] eval-auc:0.699887 train-auc:0.775001
[10] eval-auc:0.700184 train-auc:0.77716
[11] eval-auc:0.699646 train-auc:0.776526
[12] eval-auc:0.70216 train-auc:0.780304
[13] eval-auc:0.700136 train-auc:0.784361
[14] eval-auc:0.701294 train-auc:0.783346
[15] eval-auc:0.704239 train-auc:0.788061
[16] eval-auc:0.705147 train-auc:0.792046
[17] eval-auc:0.706881 train-auc:0.793572
[18] eval-auc:0.706163 train-auc:0.794465
[19] eval-auc:0.705552 train-auc:0.795294
[20] eval-auc:0.705743 train-auc:0.79607
[21] eval-auc:0.705433 train-auc:0.796399
[22] eval-auc:0.705527 train-auc:0.797853
[23] eval-auc:0.709378 train-auc:0.802872
[24] eval-auc:0.709218 train-auc:0.805558
[25] eval-auc:0.709295 train-auc:0.807864
[26] eval-auc:0.708378 train-auc:0.811277
[27] eval-auc:0.708709 train-auc:0.811975
[28] eval-auc:0.707607 train-auc:0.813104
[29] eval-auc:0.706406 train-auc:0.817621
[30] eval-auc:0.704918 train-auc:0.818548
[31] eval-auc:0.705 train-auc:0.82105
[32] eval-auc:0.703551 train-auc:0.823932
[33] eval-auc:0.703698 train-auc:0.827731
[34] eval-auc:0.701894 train-auc:0.832625
[35] eval-auc:0.701195 train-auc:0.834068
[36] eval-auc:0.701672 train-auc:0.83501
[37] eval-auc:0.701794 train-auc:0.837619
[38] eval-auc:0.700994 train-auc:0.840133
[39] eval-auc:0.702513 train-auc:0.842658
[40] eval-auc:0.701309 train-auc:0.843058
[41] eval-auc:0.700016 train-auc:0.844631
[42] eval-auc:0.700918 train-auc:0.84626
[43] eval-auc:0.702345 train-auc:0.847653
[44] eval-auc:0.702374 train-auc:0.849343
[45] eval-auc:0.703636 train-auc:0.8524
[46] eval-auc:0.703748 train-auc:0.851822
[47] eval-auc:0.705077 train-auc:0.853945
[48] eval-auc:0.705008 train-auc:0.854579
[49] eval-auc:0.703667 train-auc:0.855334
[50] eval-auc:0.703746 train-auc:0.856929
[51] eval-auc:0.703463 train-auc:0.857539
[52] eval-auc:0.703512 train-auc:0.857566
[53] eval-auc:0.703592 train-auc:0.859084
[54] eval-auc:0.704045 train-auc:0.859614
[55] eval-auc:0.704297 train-auc:0.8619
[56] eval-auc:0.704562 train-auc:0.863501
[57] eval-auc:0.705864 train-auc:0.864868
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[522] eval-auc:0.688845 train-auc:0.995048
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[524] eval-auc:0.688749 train-auc:0.995084
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[526] eval-auc:0.688774 train-auc:0.995128
[527] eval-auc:0.688911 train-auc:0.995144
[528] eval-auc:0.689081 train-auc:0.995216
[529] eval-auc:0.688815 train-auc:0.995218
[530] eval-auc:0.688937 train-auc:0.995278
[531] eval-auc:0.689066 train-auc:0.995277
[532] eval-auc:0.688981 train-auc:0.995281
[533] eval-auc:0.689129 train-auc:0.995295
[534] eval-auc:0.689113 train-auc:0.995353
[535] eval-auc:0.689188 train-auc:0.995369
[536] eval-auc:0.689196 train-auc:0.995375
[537] eval-auc:0.692153 train-auc:0.995414
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[539] eval-auc:0.692201 train-auc:0.995527
[540] eval-auc:0.692151 train-auc:0.995528
[541] eval-auc:0.692201 train-auc:0.995559
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[544] eval-auc:0.692243 train-auc:0.995677
[545] eval-auc:0.691952 train-auc:0.9957
[546] eval-auc:0.691967 train-auc:0.995711
[547] eval-auc:0.692039 train-auc:0.995727
[548] eval-auc:0.691975 train-auc:0.995758
[549] eval-auc:0.692173 train-auc:0.995762
[550] eval-auc:0.692545 train-auc:0.995825
[551] eval-auc:0.691996 train-auc:0.995856
[552] eval-auc:0.691783 train-auc:0.995862
[553] eval-auc:0.691579 train-auc:0.995866
[554] eval-auc:0.691539 train-auc:0.995871
[555] eval-auc:0.691161 train-auc:0.99592
[556] eval-auc:0.690782 train-auc:0.995974
[557] eval-auc:0.690671 train-auc:0.996001
[558] eval-auc:0.690737 train-auc:0.996007
[559] eval-auc:0.690775 train-auc:0.996096
[560] eval-auc:0.691154 train-auc:0.996102
[561] eval-auc:0.690951 train-auc:0.996105
[562] eval-auc:0.690493 train-auc:0.996106
[563] eval-auc:0.690456 train-auc:0.996129
[564] eval-auc:0.690758 train-auc:0.996168
[565] eval-auc:0.690883 train-auc:0.996195
[566] eval-auc:0.690849 train-auc:0.996225
[567] eval-auc:0.690654 train-auc:0.996246
[568] eval-auc:0.690402 train-auc:0.996262
[569] eval-auc:0.690426 train-auc:0.996283
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[572] eval-auc:0.689928 train-auc:0.996384
[573] eval-auc:0.68941 train-auc:0.996392
[574] eval-auc:0.689314 train-auc:0.996384
[575] eval-auc:0.688993 train-auc:0.996388
[576] eval-auc:0.689078 train-auc:0.996415
[577] eval-auc:0.688819 train-auc:0.996454
[578] eval-auc:0.688921 train-auc:0.996463
[579] eval-auc:0.689266 train-auc:0.996474
[580] eval-auc:0.689477 train-auc:0.996476
[581] eval-auc:0.689488 train-auc:0.996476
[582] eval-auc:0.68926 train-auc:0.996476
[583] eval-auc:0.688824 train-auc:0.996472
[584] eval-auc:0.688932 train-auc:0.996471
[585] eval-auc:0.688851 train-auc:0.996471
[586] eval-auc:0.688751 train-auc:0.996471
[587] eval-auc:0.688558 train-auc:0.996478
[588] eval-auc:0.688294 train-auc:0.996489
[589] eval-auc:0.688194 train-auc:0.996517
[590] eval-auc:0.688468 train-auc:0.99652
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[607] eval-auc:0.688628 train-auc:0.996734
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[612] eval-auc:0.688276 train-auc:0.99679
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[614] eval-auc:0.688063 train-auc:0.996791
[615] eval-auc:0.688186 train-auc:0.996789
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[618] eval-auc:0.687913 train-auc:0.996806
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[620] eval-auc:0.687979 train-auc:0.996831
[621] eval-auc:0.688142 train-auc:0.996894
[622] eval-auc:0.688111 train-auc:0.996913
[623] eval-auc:0.688309 train-auc:0.996919
[624] eval-auc:0.688512 train-auc:0.996947
[625] eval-auc:0.68843 train-auc:0.996937
[626] eval-auc:0.688527 train-auc:0.996965
[627] eval-auc:0.688459 train-auc:0.996983
[628] eval-auc:0.688201 train-auc:0.997007
[629] eval-auc:0.688069 train-auc:0.997013
[630] eval-auc:0.687933 train-auc:0.99701
[631] eval-auc:0.687725 train-auc:0.997011
[632] eval-auc:0.687726 train-auc:0.99704
[633] eval-auc:0.688081 train-auc:0.997069
[634] eval-auc:0.68802 train-auc:0.997081
[635] eval-auc:0.688079 train-auc:0.997095
[636] eval-auc:0.688456 train-auc:0.997106
[637] eval-auc:0.688465 train-auc:0.997077
[638] eval-auc:0.688245 train-auc:0.997086
[639] eval-auc:0.688264 train-auc:0.997069
[640] eval-auc:0.688545 train-auc:0.997099
[641] eval-auc:0.688247 train-auc:0.997102
[642] eval-auc:0.688171 train-auc:0.997107
[643] eval-auc:0.68811 train-auc:0.997117
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[646] eval-auc:0.688238 train-auc:0.997124
[647] eval-auc:0.688495 train-auc:0.997128
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[650] eval-auc:0.687522 train-auc:0.997171
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[652] eval-auc:0.68777 train-auc:0.997199
[653] eval-auc:0.687478 train-auc:0.997237
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[655] eval-auc:0.687207 train-auc:0.997268
[656] eval-auc:0.687017 train-auc:0.997283
[657] eval-auc:0.687137 train-auc:0.997287
[658] eval-auc:0.687047 train-auc:0.997289
[659] eval-auc:0.687324 train-auc:0.997281
[660] eval-auc:0.686911 train-auc:0.997324
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[662] eval-auc:0.687007 train-auc:0.997349
[663] eval-auc:0.686983 train-auc:0.997368
[664] eval-auc:0.68694 train-auc:0.997402
[665] eval-auc:0.686928 train-auc:0.997417
[666] eval-auc:0.686318 train-auc:0.997427
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[668] eval-auc:0.68661 train-auc:0.997429
[669] eval-auc:0.686647 train-auc:0.997434
[670] eval-auc:0.686977 train-auc:0.997437
[671] eval-auc:0.687084 train-auc:0.997459
[672] eval-auc:0.687233 train-auc:0.997483
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[674] eval-auc:0.687446 train-auc:0.997504
[675] eval-auc:0.686951 train-auc:0.997513
[676] eval-auc:0.687048 train-auc:0.997537
[677] eval-auc:0.686866 train-auc:0.997562
[678] eval-auc:0.686919 train-auc:0.997585
[679] eval-auc:0.686698 train-auc:0.99758
[680] eval-auc:0.687211 train-auc:0.997608
[681] eval-auc:0.687291 train-auc:0.997614
[682] eval-auc:0.686895 train-auc:0.997654
[683] eval-auc:0.686889 train-auc:0.997661
[684] eval-auc:0.686924 train-auc:0.997679
[685] eval-auc:0.686753 train-auc:0.997671
[686] eval-auc:0.686838 train-auc:0.997679
[687] eval-auc:0.686663 train-auc:0.997682
[688] eval-auc:0.686628 train-auc:0.997706
[689] eval-auc:0.686216 train-auc:0.99772
[690] eval-auc:0.686147 train-auc:0.997762
[691] eval-auc:0.686342 train-auc:0.997765
[692] eval-auc:0.686068 train-auc:0.997741
[693] eval-auc:0.685824 train-auc:0.99776
[694] eval-auc:0.685308 train-auc:0.997774
[695] eval-auc:0.685031 train-auc:0.997783
[696] eval-auc:0.684809 train-auc:0.997785
[697] eval-auc:0.684911 train-auc:0.997786
[698] eval-auc:0.684819 train-auc:0.997793
[699] eval-auc:0.684877 train-auc:0.997801
[700] eval-auc:0.684478 train-auc:0.997802
[701] eval-auc:0.684478 train-auc:0.997802
[702] eval-auc:0.684478 train-auc:0.997802
[703] eval-auc:0.684017 train-auc:0.997813
[704] eval-auc:0.684091 train-auc:0.997823
[705] eval-auc:0.684051 train-auc:0.997851
[706] eval-auc:0.683973 train-auc:0.997909
[707] eval-auc:0.68411 train-auc:0.997914
[708] eval-auc:0.684181 train-auc:0.997957
[709] eval-auc:0.684379 train-auc:0.997968
[710] eval-auc:0.684134 train-auc:0.997975
[711] eval-auc:0.684055 train-auc:0.997975
[712] eval-auc:0.684175 train-auc:0.997975
[713] eval-auc:0.683851 train-auc:0.99797
[714] eval-auc:0.683878 train-auc:0.997968
[715] eval-auc:0.683927 train-auc:0.997983
[716] eval-auc:0.683747 train-auc:0.997986
[717] eval-auc:0.683721 train-auc:0.997989
Score 0.6837213268525624
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8500000000000001, 'eta': 0.025, 'eval_metric': 'auc', 'gamma': 0.75, 'max_depth': 5, 'min_child_weight': 6.0, 'n_estimators': 850.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.8, 'tree_method': 'exact'}
[0] eval-auc:0.697173 train-auc:0.751164
[1] eval-auc:0.688913 train-auc:0.762029
[2] eval-auc:0.692779 train-auc:0.77508
[3] eval-auc:0.696237 train-auc:0.782854
[4] eval-auc:0.695956 train-auc:0.794769
[5] eval-auc:0.688719 train-auc:0.807077
[6] eval-auc:0.692776 train-auc:0.80678
[7] eval-auc:0.694129 train-auc:0.812379
[8] eval-auc:0.697022 train-auc:0.821952
[9] eval-auc:0.698943 train-auc:0.82523
[10] eval-auc:0.697883 train-auc:0.828194
[11] eval-auc:0.700075 train-auc:0.831245
[12] eval-auc:0.697916 train-auc:0.828296
[13] eval-auc:0.698531 train-auc:0.826104
[14] eval-auc:0.700863 train-auc:0.826642
[15] eval-auc:0.700439 train-auc:0.830225
[16] eval-auc:0.702987 train-auc:0.834974
[17] eval-auc:0.703208 train-auc:0.839355
[18] eval-auc:0.701609 train-auc:0.840441
[19] eval-auc:0.703745 train-auc:0.844458
[20] eval-auc:0.705433 train-auc:0.843962
[21] eval-auc:0.706 train-auc:0.847094
[22] eval-auc:0.707522 train-auc:0.84772
[23] eval-auc:0.707416 train-auc:0.847614
[24] eval-auc:0.704518 train-auc:0.851908
[25] eval-auc:0.704542 train-auc:0.854283
[26] eval-auc:0.702673 train-auc:0.854834
[27] eval-auc:0.703327 train-auc:0.857769
[28] eval-auc:0.703497 train-auc:0.855507
[29] eval-auc:0.702649 train-auc:0.854716
[30] eval-auc:0.703916 train-auc:0.857113
[31] eval-auc:0.703719 train-auc:0.857322
[32] eval-auc:0.70402 train-auc:0.859419
[33] eval-auc:0.704568 train-auc:0.859199
[34] eval-auc:0.704383 train-auc:0.859878
[35] eval-auc:0.704708 train-auc:0.861652
[36] eval-auc:0.706197 train-auc:0.86295
[37] eval-auc:0.706561 train-auc:0.862441
[38] eval-auc:0.707359 train-auc:0.862686
[39] eval-auc:0.707368 train-auc:0.862529
[40] eval-auc:0.706489 train-auc:0.863023
[41] eval-auc:0.707207 train-auc:0.862928
[42] eval-auc:0.707229 train-auc:0.863036
[43] eval-auc:0.706285 train-auc:0.865316
[44] eval-auc:0.706895 train-auc:0.866228
[45] eval-auc:0.707872 train-auc:0.865846
[46] eval-auc:0.707971 train-auc:0.866821
[47] eval-auc:0.708565 train-auc:0.866686
[48] eval-auc:0.709003 train-auc:0.867358
[49] eval-auc:0.708289 train-auc:0.869251
[50] eval-auc:0.708461 train-auc:0.869835
[51] eval-auc:0.707895 train-auc:0.871112
[52] eval-auc:0.708329 train-auc:0.872337
[53] eval-auc:0.70835 train-auc:0.873644
[54] eval-auc:0.708827 train-auc:0.875614
[55] eval-auc:0.708298 train-auc:0.876716
[56] eval-auc:0.707359 train-auc:0.877647
[57] eval-auc:0.706593 train-auc:0.878799
[58] eval-auc:0.706829 train-auc:0.879114
[59] eval-auc:0.70669 train-auc:0.879965
[60] eval-auc:0.705806 train-auc:0.88065
[61] eval-auc:0.705471 train-auc:0.880892
[62] eval-auc:0.705516 train-auc:0.882533
[63] eval-auc:0.704793 train-auc:0.884073
[64] eval-auc:0.70486 train-auc:0.884238
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[792] eval-auc:0.702169 train-auc:0.995038
[793] eval-auc:0.702171 train-auc:0.995084
[794] eval-auc:0.702172 train-auc:0.995083
[795] eval-auc:0.702142 train-auc:0.995073
[796] eval-auc:0.702137 train-auc:0.995072
[797] eval-auc:0.701967 train-auc:0.995074
[798] eval-auc:0.701895 train-auc:0.995076
[799] eval-auc:0.701836 train-auc:0.995088
[800] eval-auc:0.701649 train-auc:0.995132
[801] eval-auc:0.701435 train-auc:0.995148
[802] eval-auc:0.701608 train-auc:0.995173
[803] eval-auc:0.701779 train-auc:0.995187
[804] eval-auc:0.701996 train-auc:0.995208
[805] eval-auc:0.701913 train-auc:0.995218
[806] eval-auc:0.70193 train-auc:0.99522
[807] eval-auc:0.701688 train-auc:0.995231
[808] eval-auc:0.701703 train-auc:0.995293
[809] eval-auc:0.70181 train-auc:0.995292
[810] eval-auc:0.701613 train-auc:0.995307
[811] eval-auc:0.701703 train-auc:0.995301
[812] eval-auc:0.701613 train-auc:0.995316
[813] eval-auc:0.701606 train-auc:0.99533
[814] eval-auc:0.701582 train-auc:0.995322
[815] eval-auc:0.701513 train-auc:0.995318
[816] eval-auc:0.701475 train-auc:0.995328
[817] eval-auc:0.701677 train-auc:0.995335
[818] eval-auc:0.701554 train-auc:0.995357
[819] eval-auc:0.701518 train-auc:0.995398
[820] eval-auc:0.701387 train-auc:0.99543
[821] eval-auc:0.701368 train-auc:0.995427
[822] eval-auc:0.701256 train-auc:0.995428
[823] eval-auc:0.701263 train-auc:0.995457
[824] eval-auc:0.701216 train-auc:0.995473
[825] eval-auc:0.701116 train-auc:0.995511
[826] eval-auc:0.701339 train-auc:0.995524
[827] eval-auc:0.701428 train-auc:0.995545
[828] eval-auc:0.701463 train-auc:0.99555
[829] eval-auc:0.701449 train-auc:0.995587
[830] eval-auc:0.701385 train-auc:0.995604
[831] eval-auc:0.701342 train-auc:0.99561
[832] eval-auc:0.701385 train-auc:0.995617
[833] eval-auc:0.701431 train-auc:0.99564
[834] eval-auc:0.701364 train-auc:0.995669
[835] eval-auc:0.701361 train-auc:0.995668
[836] eval-auc:0.701419 train-auc:0.995697
[837] eval-auc:0.70131 train-auc:0.995711
[838] eval-auc:0.701303 train-auc:0.995712
[839] eval-auc:0.701384 train-auc:0.995734
[840] eval-auc:0.701342 train-auc:0.995733
[841] eval-auc:0.701483 train-auc:0.995758
[842] eval-auc:0.701463 train-auc:0.995776
[843] eval-auc:0.701515 train-auc:0.995785
[844] eval-auc:0.701531 train-auc:0.99579
[845] eval-auc:0.701511 train-auc:0.99581
[846] eval-auc:0.701458 train-auc:0.995805
[847] eval-auc:0.70135 train-auc:0.99582
[848] eval-auc:0.701416 train-auc:0.995818
[849] eval-auc:0.701306 train-auc:0.995853
Score 0.7013058996942343
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 1.0, 'eta': 0.17500000000000002, 'eval_metric': 'auc', 'gamma': 0.6000000000000001, 'max_depth': 4, 'min_child_weight': 4.0, 'n_estimators': 284.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.75, 'tree_method': 'exact'}
[0] eval-auc:0.695499 train-auc:0.737607
[1] eval-auc:0.704145 train-auc:0.756999
[2] eval-auc:0.701287 train-auc:0.766681
[3] eval-auc:0.701097 train-auc:0.772346
[4] eval-auc:0.707833 train-auc:0.778787
[5] eval-auc:0.706974 train-auc:0.782658
[6] eval-auc:0.710851 train-auc:0.78645
[7] eval-auc:0.712947 train-auc:0.787587
[8] eval-auc:0.710884 train-auc:0.789714
[9] eval-auc:0.710384 train-auc:0.796687
[10] eval-auc:0.707643 train-auc:0.799112
[11] eval-auc:0.709433 train-auc:0.800297
[12] eval-auc:0.712357 train-auc:0.806308
[13] eval-auc:0.712098 train-auc:0.81473
[14] eval-auc:0.709785 train-auc:0.816366
[15] eval-auc:0.709487 train-auc:0.818734
[16] eval-auc:0.710107 train-auc:0.820557
[17] eval-auc:0.708878 train-auc:0.82331
[18] eval-auc:0.707904 train-auc:0.82682
[19] eval-auc:0.708243 train-auc:0.833954
[20] eval-auc:0.708938 train-auc:0.838694
[21] eval-auc:0.711286 train-auc:0.842114
[22] eval-auc:0.710659 train-auc:0.848172
[23] eval-auc:0.709194 train-auc:0.850464
[24] eval-auc:0.71111 train-auc:0.854462
[25] eval-auc:0.70977 train-auc:0.855597
[26] eval-auc:0.70931 train-auc:0.856008
[27] eval-auc:0.713035 train-auc:0.859082
[28] eval-auc:0.71243 train-auc:0.861243
[29] eval-auc:0.710186 train-auc:0.864021
[30] eval-auc:0.709474 train-auc:0.867979
[31] eval-auc:0.711533 train-auc:0.872236
[32] eval-auc:0.714272 train-auc:0.876006
[33] eval-auc:0.712638 train-auc:0.879012
[34] eval-auc:0.71267 train-auc:0.879337
[35] eval-auc:0.710989 train-auc:0.882823
[36] eval-auc:0.711613 train-auc:0.882874
[37] eval-auc:0.712757 train-auc:0.885424
[38] eval-auc:0.712809 train-auc:0.887994
[39] eval-auc:0.712198 train-auc:0.889271
[40] eval-auc:0.713575 train-auc:0.892465
[41] eval-auc:0.711909 train-auc:0.895176
[42] eval-auc:0.710482 train-auc:0.896439
[43] eval-auc:0.710398 train-auc:0.897487
[44] eval-auc:0.710206 train-auc:0.899958
[45] eval-auc:0.711332 train-auc:0.901081
[46] eval-auc:0.711466 train-auc:0.901964
[47] eval-auc:0.711079 train-auc:0.902254
[48] eval-auc:0.710575 train-auc:0.903864
[49] eval-auc:0.710418 train-auc:0.906289
[50] eval-auc:0.710406 train-auc:0.906757
[51] eval-auc:0.709099 train-auc:0.908281
[52] eval-auc:0.711329 train-auc:0.909982
[53] eval-auc:0.711924 train-auc:0.910831
[54] eval-auc:0.711045 train-auc:0.911888
[55] eval-auc:0.711041 train-auc:0.914462
[56] eval-auc:0.712114 train-auc:0.915856
[57] eval-auc:0.711962 train-auc:0.916346
[58] eval-auc:0.712122 train-auc:0.917565
[59] eval-auc:0.713025 train-auc:0.919119
[60] eval-auc:0.712078 train-auc:0.920911
[61] eval-auc:0.710847 train-auc:0.922565
[62] eval-auc:0.710742 train-auc:0.924083
[63] eval-auc:0.710185 train-auc:0.924073
[64] eval-auc:0.70842 train-auc:0.925436
[65] eval-auc:0.707612 train-auc:0.925203
[66] eval-auc:0.707286 train-auc:0.925986
[67] eval-auc:0.707068 train-auc:0.926571
[68] eval-auc:0.706471 train-auc:0.926527
[69] eval-auc:0.705292 train-auc:0.927119
[70] eval-auc:0.704239 train-auc:0.928473
[71] eval-auc:0.704834 train-auc:0.929358
[72] eval-auc:0.70433 train-auc:0.930024
[73] eval-auc:0.703718 train-auc:0.929869
[74] eval-auc:0.7046 train-auc:0.930956
[75] eval-auc:0.705136 train-auc:0.932264
[76] eval-auc:0.706077 train-auc:0.93377
[77] eval-auc:0.705161 train-auc:0.934494
[78] eval-auc:0.704511 train-auc:0.934751
[79] eval-auc:0.704099 train-auc:0.935461
[80] eval-auc:0.705461 train-auc:0.93606
[81] eval-auc:0.704493 train-auc:0.937786
[82] eval-auc:0.704093 train-auc:0.939505
[83] eval-auc:0.703631 train-auc:0.939886
[84] eval-auc:0.702704 train-auc:0.940606
[85] eval-auc:0.703167 train-auc:0.940956
[86] eval-auc:0.702309 train-auc:0.941477
[87] eval-auc:0.700876 train-auc:0.94178
[88] eval-auc:0.701193 train-auc:0.942591
[89] eval-auc:0.70089 train-auc:0.943926
[90] eval-auc:0.700799 train-auc:0.945031
[91] eval-auc:0.701131 train-auc:0.945367
[92] eval-auc:0.701515 train-auc:0.94627
[93] eval-auc:0.702445 train-auc:0.947523
[94] eval-auc:0.702597 train-auc:0.947882
[95] eval-auc:0.702419 train-auc:0.948309
[96] eval-auc:0.702679 train-auc:0.948839
[97] eval-auc:0.702622 train-auc:0.94916
[98] eval-auc:0.703917 train-auc:0.949887
[99] eval-auc:0.704389 train-auc:0.950865
[100] eval-auc:0.704061 train-auc:0.950935
[101] eval-auc:0.704482 train-auc:0.951255
[102] eval-auc:0.705029 train-auc:0.952075
[103] eval-auc:0.7066 train-auc:0.952667
[104] eval-auc:0.706987 train-auc:0.953327
[105] eval-auc:0.707331 train-auc:0.954078
[106] eval-auc:0.706085 train-auc:0.955193
[107] eval-auc:0.707121 train-auc:0.956309
[108] eval-auc:0.706932 train-auc:0.956719
[109] eval-auc:0.705859 train-auc:0.957637
[110] eval-auc:0.706014 train-auc:0.957321
[111] eval-auc:0.705935 train-auc:0.957577
[112] eval-auc:0.705535 train-auc:0.95845
[113] eval-auc:0.705474 train-auc:0.959059
[114] eval-auc:0.705477 train-auc:0.959439
[115] eval-auc:0.705186 train-auc:0.960207
[116] eval-auc:0.70514 train-auc:0.961319
[117] eval-auc:0.704496 train-auc:0.961707
[118] eval-auc:0.704214 train-auc:0.961863
[119] eval-auc:0.705041 train-auc:0.963068
[120] eval-auc:0.704295 train-auc:0.96387
[121] eval-auc:0.704685 train-auc:0.964241
[122] eval-auc:0.704479 train-auc:0.964617
[123] eval-auc:0.705665 train-auc:0.965544
[124] eval-auc:0.704478 train-auc:0.965503
[125] eval-auc:0.705021 train-auc:0.965611
[126] eval-auc:0.703366 train-auc:0.965898
[127] eval-auc:0.703121 train-auc:0.966145
[128] eval-auc:0.702727 train-auc:0.967018
[129] eval-auc:0.703829 train-auc:0.967736
[130] eval-auc:0.703564 train-auc:0.968126
[131] eval-auc:0.702827 train-auc:0.968682
[132] eval-auc:0.701716 train-auc:0.969578
[133] eval-auc:0.702165 train-auc:0.970142
[134] eval-auc:0.701338 train-auc:0.970667
[135] eval-auc:0.702014 train-auc:0.97083
[136] eval-auc:0.702191 train-auc:0.971313
[137] eval-auc:0.702174 train-auc:0.971536
[138] eval-auc:0.702405 train-auc:0.971899
[139] eval-auc:0.702334 train-auc:0.972508
[140] eval-auc:0.702393 train-auc:0.972724
[141] eval-auc:0.702407 train-auc:0.972799
[142] eval-auc:0.702772 train-auc:0.973041
[143] eval-auc:0.702896 train-auc:0.973348
[144] eval-auc:0.702201 train-auc:0.973933
[145] eval-auc:0.702538 train-auc:0.974627
[146] eval-auc:0.702685 train-auc:0.975036
[147] eval-auc:0.702172 train-auc:0.97506
[148] eval-auc:0.702486 train-auc:0.975386
[149] eval-auc:0.70257 train-auc:0.975619
[150] eval-auc:0.702795 train-auc:0.975686
[151] eval-auc:0.703118 train-auc:0.976033
[152] eval-auc:0.703346 train-auc:0.976549
[153] eval-auc:0.703566 train-auc:0.976677
[154] eval-auc:0.703697 train-auc:0.977435
[155] eval-auc:0.702954 train-auc:0.977509
[156] eval-auc:0.703221 train-auc:0.977712
[157] eval-auc:0.703369 train-auc:0.977798
[158] eval-auc:0.704012 train-auc:0.978097
[159] eval-auc:0.703925 train-auc:0.978684
[160] eval-auc:0.704278 train-auc:0.97961
[161] eval-auc:0.704368 train-auc:0.979903
[162] eval-auc:0.705067 train-auc:0.97996
[163] eval-auc:0.703575 train-auc:0.980226
[164] eval-auc:0.703333 train-auc:0.980322
[165] eval-auc:0.703137 train-auc:0.980623
[166] eval-auc:0.702407 train-auc:0.980941
[167] eval-auc:0.702267 train-auc:0.981175
[168] eval-auc:0.702845 train-auc:0.981219
[169] eval-auc:0.703177 train-auc:0.981574
[170] eval-auc:0.703403 train-auc:0.981643
[171] eval-auc:0.703351 train-auc:0.982093
[172] eval-auc:0.703127 train-auc:0.982381
[173] eval-auc:0.703208 train-auc:0.982395
[174] eval-auc:0.703404 train-auc:0.982583
[175] eval-auc:0.702792 train-auc:0.982846
[176] eval-auc:0.702993 train-auc:0.982783
[177] eval-auc:0.703183 train-auc:0.982884
[178] eval-auc:0.703433 train-auc:0.982936
[179] eval-auc:0.703505 train-auc:0.983287
[180] eval-auc:0.703779 train-auc:0.983343
[181] eval-auc:0.704514 train-auc:0.983995
[182] eval-auc:0.704839 train-auc:0.984099
[183] eval-auc:0.704799 train-auc:0.984185
[184] eval-auc:0.704682 train-auc:0.984169
[185] eval-auc:0.705809 train-auc:0.984499
[186] eval-auc:0.705879 train-auc:0.984614
[187] eval-auc:0.705605 train-auc:0.9848
[188] eval-auc:0.705655 train-auc:0.984953
[189] eval-auc:0.706421 train-auc:0.985143
[190] eval-auc:0.706128 train-auc:0.985317
[191] eval-auc:0.706031 train-auc:0.985402
[192] eval-auc:0.705655 train-auc:0.985523
[193] eval-auc:0.706188 train-auc:0.985943
[194] eval-auc:0.706859 train-auc:0.986158
[195] eval-auc:0.706501 train-auc:0.986293
[196] eval-auc:0.706736 train-auc:0.986517
[197] eval-auc:0.706902 train-auc:0.987115
[198] eval-auc:0.707095 train-auc:0.987181
[199] eval-auc:0.707392 train-auc:0.987715
[200] eval-auc:0.708513 train-auc:0.988037
[201] eval-auc:0.707962 train-auc:0.988193
[202] eval-auc:0.707485 train-auc:0.988435
[203] eval-auc:0.707672 train-auc:0.988578
[204] eval-auc:0.707605 train-auc:0.988701
[205] eval-auc:0.70756 train-auc:0.988793
[206] eval-auc:0.707447 train-auc:0.988945
[207] eval-auc:0.708097 train-auc:0.989151
[208] eval-auc:0.708429 train-auc:0.989264
[209] eval-auc:0.70863 train-auc:0.98939
[210] eval-auc:0.708971 train-auc:0.989427
[211] eval-auc:0.709483 train-auc:0.989534
[212] eval-auc:0.709305 train-auc:0.98977
[213] eval-auc:0.708894 train-auc:0.989911
[214] eval-auc:0.709215 train-auc:0.990065
[215] eval-auc:0.708414 train-auc:0.990019
[216] eval-auc:0.709047 train-auc:0.990253
[217] eval-auc:0.709236 train-auc:0.990463
[218] eval-auc:0.708492 train-auc:0.990564
[219] eval-auc:0.708059 train-auc:0.990812
[220] eval-auc:0.707637 train-auc:0.991003
[221] eval-auc:0.707444 train-auc:0.991212
[222] eval-auc:0.708332 train-auc:0.991366
[223] eval-auc:0.708245 train-auc:0.991397
[224] eval-auc:0.70724 train-auc:0.991475
[225] eval-auc:0.707261 train-auc:0.991466
[226] eval-auc:0.707016 train-auc:0.991615
[227] eval-auc:0.707913 train-auc:0.991788
[228] eval-auc:0.707179 train-auc:0.991951
[229] eval-auc:0.707922 train-auc:0.992038
[230] eval-auc:0.70734 train-auc:0.9921
[231] eval-auc:0.708186 train-auc:0.992129
[232] eval-auc:0.707854 train-auc:0.992165
[233] eval-auc:0.708489 train-auc:0.992238
[234] eval-auc:0.708484 train-auc:0.992235
[235] eval-auc:0.709207 train-auc:0.992342
[236] eval-auc:0.708575 train-auc:0.99254
[237] eval-auc:0.709017 train-auc:0.992541
[238] eval-auc:0.708681 train-auc:0.992639
[239] eval-auc:0.707819 train-auc:0.992587
[240] eval-auc:0.70802 train-auc:0.992497
[241] eval-auc:0.708624 train-auc:0.992655
[242] eval-auc:0.708359 train-auc:0.992791
[243] eval-auc:0.708615 train-auc:0.992778
[244] eval-auc:0.708857 train-auc:0.992922
[245] eval-auc:0.708455 train-auc:0.992955
[246] eval-auc:0.70839 train-auc:0.993037
[247] eval-auc:0.708068 train-auc:0.993247
[248] eval-auc:0.708049 train-auc:0.993405
[249] eval-auc:0.708446 train-auc:0.993456
[250] eval-auc:0.708831 train-auc:0.993618
[251] eval-auc:0.707931 train-auc:0.99368
[252] eval-auc:0.707503 train-auc:0.993785
[253] eval-auc:0.707998 train-auc:0.993963
[254] eval-auc:0.708787 train-auc:0.994083
[255] eval-auc:0.709186 train-auc:0.994111
[256] eval-auc:0.709515 train-auc:0.994097
[257] eval-auc:0.709576 train-auc:0.99409
[258] eval-auc:0.709742 train-auc:0.994061
[259] eval-auc:0.70962 train-auc:0.994253
[260] eval-auc:0.709759 train-auc:0.994285
[261] eval-auc:0.709804 train-auc:0.994469
[262] eval-auc:0.709386 train-auc:0.994454
[263] eval-auc:0.709498 train-auc:0.994551
[264] eval-auc:0.709127 train-auc:0.994622
[265] eval-auc:0.709143 train-auc:0.994637
[266] eval-auc:0.708795 train-auc:0.994658
[267] eval-auc:0.708757 train-auc:0.99479
[268] eval-auc:0.709294 train-auc:0.994893
[269] eval-auc:0.709623 train-auc:0.994988
[270] eval-auc:0.710001 train-auc:0.995089
[271] eval-auc:0.709634 train-auc:0.995098
[272] eval-auc:0.709809 train-auc:0.995129
[273] eval-auc:0.709894 train-auc:0.995196
[274] eval-auc:0.710391 train-auc:0.995268
[275] eval-auc:0.710406 train-auc:0.995372
[276] eval-auc:0.709887 train-auc:0.995345
[277] eval-auc:0.709411 train-auc:0.995383
[278] eval-auc:0.708796 train-auc:0.995422
[279] eval-auc:0.708821 train-auc:0.995449
[280] eval-auc:0.708757 train-auc:0.995557
[281] eval-auc:0.708703 train-auc:0.995623
[282] eval-auc:0.70858 train-auc:0.995639
[283] eval-auc:0.708519 train-auc:0.995666
Score 0.7085191073103583
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 1.0, 'eta': 0.17500000000000002, 'eval_metric': 'auc', 'gamma': 0.6000000000000001, 'max_depth': 7, 'min_child_weight': 4.0, 'n_estimators': 443.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.7000000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.705635 train-auc:0.780588
[1] eval-auc:0.706134 train-auc:0.820037
[2] eval-auc:0.711348 train-auc:0.834908
[3] eval-auc:0.702034 train-auc:0.852496
[4] eval-auc:0.699942 train-auc:0.863937
[5] eval-auc:0.702267 train-auc:0.874851
[6] eval-auc:0.705209 train-auc:0.883183
[7] eval-auc:0.705892 train-auc:0.889396
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[418] eval-auc:0.68373 train-auc:1
[419] eval-auc:0.683472 train-auc:1
[420] eval-auc:0.683272 train-auc:1
[421] eval-auc:0.683356 train-auc:1
[422] eval-auc:0.683816 train-auc:1
[423] eval-auc:0.683801 train-auc:1
[424] eval-auc:0.68374 train-auc:1
[425] eval-auc:0.683953 train-auc:1
[426] eval-auc:0.683359 train-auc:1
[427] eval-auc:0.683289 train-auc:1
[428] eval-auc:0.683289 train-auc:1
[429] eval-auc:0.683773 train-auc:1
[430] eval-auc:0.683412 train-auc:1
[431] eval-auc:0.683481 train-auc:1
[432] eval-auc:0.683488 train-auc:1
[433] eval-auc:0.683478 train-auc:1
[434] eval-auc:0.683641 train-auc:1
[435] eval-auc:0.683858 train-auc:1
[436] eval-auc:0.683854 train-auc:1
[437] eval-auc:0.683593 train-auc:1
[438] eval-auc:0.683861 train-auc:1
[439] eval-auc:0.683848 train-auc:1
[440] eval-auc:0.68372 train-auc:1
[441] eval-auc:0.684539 train-auc:1
[442] eval-auc:0.684601 train-auc:1
Score 0.684601469137156
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.55, 'eta': 0.4, 'eval_metric': 'auc', 'gamma': 0.5, 'max_depth': 12, 'min_child_weight': 5.0, 'n_estimators': 576.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.65, 'tree_method': 'exact'}
[0] eval-auc:0.516409 train-auc:0.681553
[1] eval-auc:0.578803 train-auc:0.828566
[2] eval-auc:0.572783 train-auc:0.852212
[3] eval-auc:0.586061 train-auc:0.888089
[4] eval-auc:0.608997 train-auc:0.915304
[5] eval-auc:0.61191 train-auc:0.93944
[6] eval-auc:0.631317 train-auc:0.947968
[7] eval-auc:0.627167 train-auc:0.95047
[8] eval-auc:0.629422 train-auc:0.963554
[9] eval-auc:0.636273 train-auc:0.969389
[10] eval-auc:0.627831 train-auc:0.976376
[11] eval-auc:0.626504 train-auc:0.981615
[12] eval-auc:0.627557 train-auc:0.984031
[13] eval-auc:0.636475 train-auc:0.987378
[14] eval-auc:0.634889 train-auc:0.989874
[15] eval-auc:0.639002 train-auc:0.991802
[16] eval-auc:0.637457 train-auc:0.993274
[17] eval-auc:0.655089 train-auc:0.994163
[18] eval-auc:0.653655 train-auc:0.995521
[19] eval-auc:0.657827 train-auc:0.996371
[20] eval-auc:0.657943 train-auc:0.996956
[21] eval-auc:0.655988 train-auc:0.997243
[22] eval-auc:0.653503 train-auc:0.997546
[23] eval-auc:0.654805 train-auc:0.997766
[24] eval-auc:0.651477 train-auc:0.998099
[25] eval-auc:0.644193 train-auc:0.998654
[26] eval-auc:0.641921 train-auc:0.998643
[27] eval-auc:0.641523 train-auc:0.998804
[28] eval-auc:0.644362 train-auc:0.999008
[29] eval-auc:0.642011 train-auc:0.999021
[30] eval-auc:0.641922 train-auc:0.999169
[31] eval-auc:0.641292 train-auc:0.999289
[32] eval-auc:0.64165 train-auc:0.999396
[33] eval-auc:0.642909 train-auc:0.999479
[34] eval-auc:0.643236 train-auc:0.999591
[35] eval-auc:0.643433 train-auc:0.999617
[36] eval-auc:0.645077 train-auc:0.999598
[37] eval-auc:0.643296 train-auc:0.999646
[38] eval-auc:0.641427 train-auc:0.999644
[39] eval-auc:0.641354 train-auc:0.999695
[40] eval-auc:0.643093 train-auc:0.999738
[41] eval-auc:0.641819 train-auc:0.999784
[42] eval-auc:0.64182 train-auc:0.999767
[43] eval-auc:0.644994 train-auc:0.999744
[44] eval-auc:0.645466 train-auc:0.999832
[45] eval-auc:0.646114 train-auc:0.999847
[46] eval-auc:0.644913 train-auc:0.999899
[47] eval-auc:0.644246 train-auc:0.999915
[48] eval-auc:0.647692 train-auc:0.999931
[49] eval-auc:0.64836 train-auc:0.999953
[50] eval-auc:0.647002 train-auc:0.99997
[51] eval-auc:0.647463 train-auc:0.999973
[52] eval-auc:0.646434 train-auc:0.999979
[53] eval-auc:0.646262 train-auc:0.999977
[54] eval-auc:0.648238 train-auc:0.999978
[55] eval-auc:0.646778 train-auc:0.999982
[56] eval-auc:0.648593 train-auc:0.999983
[57] eval-auc:0.648215 train-auc:0.999988
[58] eval-auc:0.647639 train-auc:0.999985
[59] eval-auc:0.650594 train-auc:0.999992
[60] eval-auc:0.651713 train-auc:0.99999
[61] eval-auc:0.651506 train-auc:0.999992
[62] eval-auc:0.650128 train-auc:0.999998
[63] eval-auc:0.652916 train-auc:0.999997
[64] eval-auc:0.652067 train-auc:0.999997
[65] eval-auc:0.652583 train-auc:0.999999
[66] eval-auc:0.65189 train-auc:0.999999
[67] eval-auc:0.650587 train-auc:0.999998
[68] eval-auc:0.650194 train-auc:1
[69] eval-auc:0.649416 train-auc:1
[70] eval-auc:0.650008 train-auc:1
[71] eval-auc:0.649519 train-auc:1
[72] eval-auc:0.64979 train-auc:1
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[74] eval-auc:0.650654 train-auc:1
[75] eval-auc:0.651226 train-auc:1
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[78] eval-auc:0.650693 train-auc:1
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[80] eval-auc:0.649274 train-auc:1
[81] eval-auc:0.649269 train-auc:1
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[83] eval-auc:0.649079 train-auc:1
[84] eval-auc:0.649391 train-auc:1
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[87] eval-auc:0.64849 train-auc:1
[88] eval-auc:0.647121 train-auc:1
[89] eval-auc:0.647468 train-auc:1
[90] eval-auc:0.647483 train-auc:1
[91] eval-auc:0.647868 train-auc:1
[92] eval-auc:0.646924 train-auc:1
[93] eval-auc:0.645543 train-auc:1
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[95] eval-auc:0.645831 train-auc:1
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[100] eval-auc:0.644275 train-auc:1
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[110] eval-auc:0.646181 train-auc:1
[111] eval-auc:0.646825 train-auc:1
[112] eval-auc:0.646181 train-auc:1
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[118] eval-auc:0.645979 train-auc:1
[119] eval-auc:0.647588 train-auc:1
[120] eval-auc:0.648669 train-auc:1
[121] eval-auc:0.64856 train-auc:1
[122] eval-auc:0.649001 train-auc:1
[123] eval-auc:0.647815 train-auc:1
[124] eval-auc:0.64752 train-auc:1
[125] eval-auc:0.648388 train-auc:1
[126] eval-auc:0.648609 train-auc:1
[127] eval-auc:0.649498 train-auc:1
[128] eval-auc:0.648869 train-auc:1
[129] eval-auc:0.649172 train-auc:1
[130] eval-auc:0.649317 train-auc:1
[131] eval-auc:0.648996 train-auc:1
[132] eval-auc:0.648292 train-auc:1
[133] eval-auc:0.648762 train-auc:1
[134] eval-auc:0.648709 train-auc:1
[135] eval-auc:0.648319 train-auc:1
[136] eval-auc:0.647827 train-auc:1
[137] eval-auc:0.6479 train-auc:1
[138] eval-auc:0.647398 train-auc:1
[139] eval-auc:0.64905 train-auc:1
[140] eval-auc:0.650736 train-auc:1
[141] eval-auc:0.651729 train-auc:1
[142] eval-auc:0.651261 train-auc:1
[143] eval-auc:0.651381 train-auc:1
[144] eval-auc:0.65088 train-auc:1
[145] eval-auc:0.650259 train-auc:1
[146] eval-auc:0.650649 train-auc:1
[147] eval-auc:0.650917 train-auc:1
[148] eval-auc:0.650883 train-auc:1
[149] eval-auc:0.651631 train-auc:1
[150] eval-auc:0.651557 train-auc:1
[151] eval-auc:0.650868 train-auc:1
[152] eval-auc:0.650273 train-auc:1
[153] eval-auc:0.651218 train-auc:1
[154] eval-auc:0.650186 train-auc:1
[155] eval-auc:0.649812 train-auc:1
[156] eval-auc:0.650577 train-auc:1
[157] eval-auc:0.651738 train-auc:1
[158] eval-auc:0.650798 train-auc:1
[159] eval-auc:0.650217 train-auc:1
[160] eval-auc:0.649974 train-auc:1
[161] eval-auc:0.650076 train-auc:1
[162] eval-auc:0.650227 train-auc:1
[163] eval-auc:0.649408 train-auc:1
[164] eval-auc:0.649929 train-auc:1
[165] eval-auc:0.649795 train-auc:1
[166] eval-auc:0.64905 train-auc:1
[167] eval-auc:0.648502 train-auc:1
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[169] eval-auc:0.648115 train-auc:1
[170] eval-auc:0.647667 train-auc:1
[171] eval-auc:0.647617 train-auc:1
[172] eval-auc:0.648701 train-auc:1
[173] eval-auc:0.649102 train-auc:1
[174] eval-auc:0.648386 train-auc:1
[175] eval-auc:0.648301 train-auc:1
[176] eval-auc:0.647864 train-auc:1
[177] eval-auc:0.646927 train-auc:1
[178] eval-auc:0.646699 train-auc:1
[179] eval-auc:0.64688 train-auc:1
[180] eval-auc:0.646626 train-auc:1
[181] eval-auc:0.646545 train-auc:1
[182] eval-auc:0.646428 train-auc:1
[183] eval-auc:0.646376 train-auc:1
[184] eval-auc:0.64653 train-auc:1
[185] eval-auc:0.646687 train-auc:1
[186] eval-auc:0.646801 train-auc:1
[187] eval-auc:0.647715 train-auc:1
[188] eval-auc:0.647928 train-auc:1
[189] eval-auc:0.64777 train-auc:1
[190] eval-auc:0.650204 train-auc:1
[191] eval-auc:0.649936 train-auc:1
[192] eval-auc:0.650762 train-auc:1
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[195] eval-auc:0.651477 train-auc:1
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[198] eval-auc:0.651365 train-auc:1
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[200] eval-auc:0.65088 train-auc:1
[201] eval-auc:0.650874 train-auc:1
[202] eval-auc:0.649324 train-auc:1
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[209] eval-auc:0.649652 train-auc:1
[210] eval-auc:0.650242 train-auc:1
[211] eval-auc:0.650096 train-auc:1
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[215] eval-auc:0.65053 train-auc:1
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[218] eval-auc:0.65274 train-auc:1
[219] eval-auc:0.652475 train-auc:1
[220] eval-auc:0.65235 train-auc:1
[221] eval-auc:0.651531 train-auc:1
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[240] eval-auc:0.65007 train-auc:1
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[391] eval-auc:0.65353 train-auc:1
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[393] eval-auc:0.654058 train-auc:1
[394] eval-auc:0.653694 train-auc:1
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[400] eval-auc:0.654272 train-auc:1
[401] eval-auc:0.653877 train-auc:1
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[414] eval-auc:0.653041 train-auc:1
[415] eval-auc:0.653371 train-auc:1
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[418] eval-auc:0.653818 train-auc:1
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[420] eval-auc:0.653825 train-auc:1
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[423] eval-auc:0.653073 train-auc:1
[424] eval-auc:0.653513 train-auc:1
[425] eval-auc:0.653629 train-auc:1
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[427] eval-auc:0.653271 train-auc:1
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[435] eval-auc:0.65355 train-auc:1
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[437] eval-auc:0.65448 train-auc:1
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[439] eval-auc:0.654922 train-auc:1
[440] eval-auc:0.654741 train-auc:1
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[442] eval-auc:0.655508 train-auc:1
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[444] eval-auc:0.655753 train-auc:1
[445] eval-auc:0.655753 train-auc:1
[446] eval-auc:0.655962 train-auc:1
[447] eval-auc:0.656004 train-auc:1
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[449] eval-auc:0.655864 train-auc:1
[450] eval-auc:0.655771 train-auc:1
[451] eval-auc:0.655341 train-auc:1
[452] eval-auc:0.655974 train-auc:1
[453] eval-auc:0.656014 train-auc:1
[454] eval-auc:0.65575 train-auc:1
[455] eval-auc:0.655257 train-auc:1
[456] eval-auc:0.655604 train-auc:1
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[458] eval-auc:0.654811 train-auc:1
[459] eval-auc:0.654064 train-auc:1
[460] eval-auc:0.654064 train-auc:1
[461] eval-auc:0.654241 train-auc:1
[462] eval-auc:0.65408 train-auc:1
[463] eval-auc:0.653725 train-auc:1
[464] eval-auc:0.653725 train-auc:1
[465] eval-auc:0.653725 train-auc:1
[466] eval-auc:0.653725 train-auc:1
[467] eval-auc:0.653725 train-auc:1
[468] eval-auc:0.653725 train-auc:1
[469] eval-auc:0.653725 train-auc:1
[470] eval-auc:0.653914 train-auc:1
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[472] eval-auc:0.653743 train-auc:1
[473] eval-auc:0.654238 train-auc:1
[474] eval-auc:0.65438 train-auc:1
[475] eval-auc:0.653915 train-auc:1
[476] eval-auc:0.654345 train-auc:1
[477] eval-auc:0.654169 train-auc:1
[478] eval-auc:0.654169 train-auc:1
[479] eval-auc:0.654169 train-auc:1
[480] eval-auc:0.654165 train-auc:1
[481] eval-auc:0.654165 train-auc:1
[482] eval-auc:0.654075 train-auc:1
[483] eval-auc:0.654075 train-auc:1
[484] eval-auc:0.653895 train-auc:1
[485] eval-auc:0.653895 train-auc:1
[486] eval-auc:0.653468 train-auc:1
[487] eval-auc:0.654031 train-auc:1
[488] eval-auc:0.653943 train-auc:1
[489] eval-auc:0.653943 train-auc:1
[490] eval-auc:0.653943 train-auc:1
[491] eval-auc:0.653426 train-auc:1
[492] eval-auc:0.653426 train-auc:1
[493] eval-auc:0.653719 train-auc:1
[494] eval-auc:0.65401 train-auc:1
[495] eval-auc:0.65401 train-auc:1
[496] eval-auc:0.654226 train-auc:1
[497] eval-auc:0.654226 train-auc:1
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[499] eval-auc:0.654226 train-auc:1
[500] eval-auc:0.654025 train-auc:1
[501] eval-auc:0.654025 train-auc:1
[502] eval-auc:0.653961 train-auc:1
[503] eval-auc:0.653961 train-auc:1
[504] eval-auc:0.653611 train-auc:1
[505] eval-auc:0.653468 train-auc:1
[506] eval-auc:0.653181 train-auc:1
[507] eval-auc:0.653122 train-auc:1
[508] eval-auc:0.652753 train-auc:1
[509] eval-auc:0.652656 train-auc:1
[510] eval-auc:0.652476 train-auc:1
[511] eval-auc:0.652153 train-auc:1
[512] eval-auc:0.653364 train-auc:1
[513] eval-auc:0.653364 train-auc:1
[514] eval-auc:0.653364 train-auc:1
[515] eval-auc:0.653691 train-auc:1
[516] eval-auc:0.653691 train-auc:1
[517] eval-auc:0.653178 train-auc:1
[518] eval-auc:0.653178 train-auc:1
[519] eval-auc:0.653742 train-auc:1
[520] eval-auc:0.653742 train-auc:1
[521] eval-auc:0.653742 train-auc:1
[522] eval-auc:0.653742 train-auc:1
[523] eval-auc:0.653742 train-auc:1
[524] eval-auc:0.653632 train-auc:1
[525] eval-auc:0.652536 train-auc:1
[526] eval-auc:0.652255 train-auc:1
[527] eval-auc:0.652403 train-auc:1
[528] eval-auc:0.652543 train-auc:1
[529] eval-auc:0.652449 train-auc:1
[530] eval-auc:0.652449 train-auc:1
[531] eval-auc:0.652192 train-auc:1
[532] eval-auc:0.652192 train-auc:1
[533] eval-auc:0.652082 train-auc:1
[534] eval-auc:0.652082 train-auc:1
[535] eval-auc:0.652376 train-auc:1
[536] eval-auc:0.652874 train-auc:1
[537] eval-auc:0.652741 train-auc:1
[538] eval-auc:0.652782 train-auc:1
[539] eval-auc:0.652898 train-auc:1
[540] eval-auc:0.652898 train-auc:1
[541] eval-auc:0.652898 train-auc:1
[542] eval-auc:0.65295 train-auc:1
[543] eval-auc:0.652583 train-auc:1
[544] eval-auc:0.652635 train-auc:1
[545] eval-auc:0.652551 train-auc:1
[546] eval-auc:0.652551 train-auc:1
[547] eval-auc:0.652417 train-auc:1
[548] eval-auc:0.652562 train-auc:1
[549] eval-auc:0.652562 train-auc:1
[550] eval-auc:0.652562 train-auc:1
[551] eval-auc:0.652746 train-auc:1
[552] eval-auc:0.652629 train-auc:1
[553] eval-auc:0.652842 train-auc:1
[554] eval-auc:0.652303 train-auc:1
[555] eval-auc:0.652863 train-auc:1
[556] eval-auc:0.652904 train-auc:1
[557] eval-auc:0.652778 train-auc:1
[558] eval-auc:0.652932 train-auc:1
[559] eval-auc:0.652932 train-auc:1
[560] eval-auc:0.652932 train-auc:1
[561] eval-auc:0.652932 train-auc:1
[562] eval-auc:0.653535 train-auc:1
[563] eval-auc:0.653535 train-auc:1
[564] eval-auc:0.653535 train-auc:1
[565] eval-auc:0.653359 train-auc:1
[566] eval-auc:0.653359 train-auc:1
[567] eval-auc:0.653359 train-auc:1
[568] eval-auc:0.653758 train-auc:1
[569] eval-auc:0.653758 train-auc:1
[570] eval-auc:0.653774 train-auc:1
[571] eval-auc:0.653774 train-auc:1
[572] eval-auc:0.654054 train-auc:1
[573] eval-auc:0.654341 train-auc:1
[574] eval-auc:0.654341 train-auc:1
[575] eval-auc:0.654401 train-auc:1
Score 0.6544010159704711
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9500000000000001, 'eta': 0.15000000000000002, 'eval_metric': 'auc', 'gamma': 0.55, 'max_depth': 1, 'min_child_weight': 6.0, 'n_estimators': 280.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.6000000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.637627 train-auc:0.641495
[1] eval-auc:0.639239 train-auc:0.642213
[2] eval-auc:0.639239 train-auc:0.642213
[3] eval-auc:0.639239 train-auc:0.642213
[4] eval-auc:0.639239 train-auc:0.642213
[5] eval-auc:0.667391 train-auc:0.675934
[6] eval-auc:0.667391 train-auc:0.675934
[7] eval-auc:0.695062 train-auc:0.696544
[8] eval-auc:0.704077 train-auc:0.698945
[9] eval-auc:0.704397 train-auc:0.699539
[10] eval-auc:0.704283 train-auc:0.69989
[11] eval-auc:0.700622 train-auc:0.698201
[12] eval-auc:0.705911 train-auc:0.69951
[13] eval-auc:0.706061 train-auc:0.699583
[14] eval-auc:0.704852 train-auc:0.699944
[15] eval-auc:0.704852 train-auc:0.699944
[16] eval-auc:0.702765 train-auc:0.698851
[17] eval-auc:0.708017 train-auc:0.701018
[18] eval-auc:0.7035 train-auc:0.69947
[19] eval-auc:0.701571 train-auc:0.699539
[20] eval-auc:0.699114 train-auc:0.701616
[21] eval-auc:0.699603 train-auc:0.701648
[22] eval-auc:0.700066 train-auc:0.701596
[23] eval-auc:0.698238 train-auc:0.701715
[24] eval-auc:0.698768 train-auc:0.701965
[25] eval-auc:0.700423 train-auc:0.704007
[26] eval-auc:0.700426 train-auc:0.704235
[27] eval-auc:0.701799 train-auc:0.704836
[28] eval-auc:0.701932 train-auc:0.705108
[29] eval-auc:0.703015 train-auc:0.705663
[30] eval-auc:0.703547 train-auc:0.706727
[31] eval-auc:0.704539 train-auc:0.706571
[32] eval-auc:0.70553 train-auc:0.706254
[33] eval-auc:0.704924 train-auc:0.706353
[34] eval-auc:0.70448 train-auc:0.707786
[35] eval-auc:0.704544 train-auc:0.708305
[36] eval-auc:0.705203 train-auc:0.708538
[37] eval-auc:0.706189 train-auc:0.708993
[38] eval-auc:0.706016 train-auc:0.708131
[39] eval-auc:0.707244 train-auc:0.709768
[40] eval-auc:0.706335 train-auc:0.709659
[41] eval-auc:0.705893 train-auc:0.709769
[42] eval-auc:0.70468 train-auc:0.709921
[43] eval-auc:0.704882 train-auc:0.71037
[44] eval-auc:0.703592 train-auc:0.711816
[45] eval-auc:0.702987 train-auc:0.712062
[46] eval-auc:0.703223 train-auc:0.712123
[47] eval-auc:0.703458 train-auc:0.712244
[48] eval-auc:0.703935 train-auc:0.71251
[49] eval-auc:0.704293 train-auc:0.712644
[50] eval-auc:0.705695 train-auc:0.713221
[51] eval-auc:0.704462 train-auc:0.712543
[52] eval-auc:0.704436 train-auc:0.713064
[53] eval-auc:0.704642 train-auc:0.713094
[54] eval-auc:0.704456 train-auc:0.713096
[55] eval-auc:0.704919 train-auc:0.713286
[56] eval-auc:0.704223 train-auc:0.713447
[57] eval-auc:0.704185 train-auc:0.713981
[58] eval-auc:0.703732 train-auc:0.713938
[59] eval-auc:0.703689 train-auc:0.713828
[60] eval-auc:0.703741 train-auc:0.713973
[61] eval-auc:0.702909 train-auc:0.714233
[62] eval-auc:0.702304 train-auc:0.713896
[63] eval-auc:0.701929 train-auc:0.71437
[64] eval-auc:0.701279 train-auc:0.713902
[65] eval-auc:0.701412 train-auc:0.714203
[66] eval-auc:0.701563 train-auc:0.714397
[67] eval-auc:0.701362 train-auc:0.714699
[68] eval-auc:0.700632 train-auc:0.715086
[69] eval-auc:0.699973 train-auc:0.715042
[70] eval-auc:0.699894 train-auc:0.715579
[71] eval-auc:0.700752 train-auc:0.715546
[72] eval-auc:0.700388 train-auc:0.715923
[73] eval-auc:0.700475 train-auc:0.71599
[74] eval-auc:0.700439 train-auc:0.715787
[75] eval-auc:0.700594 train-auc:0.715644
[76] eval-auc:0.700069 train-auc:0.715649
[77] eval-auc:0.699985 train-auc:0.71621
[78] eval-auc:0.70032 train-auc:0.716823
[79] eval-auc:0.700421 train-auc:0.716824
[80] eval-auc:0.700423 train-auc:0.717323
[81] eval-auc:0.700212 train-auc:0.717546
[82] eval-auc:0.700136 train-auc:0.717809
[83] eval-auc:0.699377 train-auc:0.718068
[84] eval-auc:0.698676 train-auc:0.718347
[85] eval-auc:0.698771 train-auc:0.718748
[86] eval-auc:0.698372 train-auc:0.718883
[87] eval-auc:0.698649 train-auc:0.718904
[88] eval-auc:0.698694 train-auc:0.719355
[89] eval-auc:0.699643 train-auc:0.719378
[90] eval-auc:0.698637 train-auc:0.719709
[91] eval-auc:0.697896 train-auc:0.719851
[92] eval-auc:0.69758 train-auc:0.719602
[93] eval-auc:0.698107 train-auc:0.71973
[94] eval-auc:0.698177 train-auc:0.71979
[95] eval-auc:0.698602 train-auc:0.720081
[96] eval-auc:0.698288 train-auc:0.720047
[97] eval-auc:0.699423 train-auc:0.720086
[98] eval-auc:0.70016 train-auc:0.72026
[99] eval-auc:0.700505 train-auc:0.720465
[100] eval-auc:0.69893 train-auc:0.720823
[101] eval-auc:0.698972 train-auc:0.720847
[102] eval-auc:0.698886 train-auc:0.721151
[103] eval-auc:0.699327 train-auc:0.721315
[104] eval-auc:0.69956 train-auc:0.721189
[105] eval-auc:0.699017 train-auc:0.721538
[106] eval-auc:0.698402 train-auc:0.721427
[107] eval-auc:0.698503 train-auc:0.721337
[108] eval-auc:0.698758 train-auc:0.721312
[109] eval-auc:0.698495 train-auc:0.721491
[110] eval-auc:0.699402 train-auc:0.721554
[111] eval-auc:0.700164 train-auc:0.721496
[112] eval-auc:0.699776 train-auc:0.721521
[113] eval-auc:0.69908 train-auc:0.721627
[114] eval-auc:0.699345 train-auc:0.72181
[115] eval-auc:0.699621 train-auc:0.722128
[116] eval-auc:0.698777 train-auc:0.72226
[117] eval-auc:0.699249 train-auc:0.72245
[118] eval-auc:0.698997 train-auc:0.722428
[119] eval-auc:0.698787 train-auc:0.722311
[120] eval-auc:0.699179 train-auc:0.722377
[121] eval-auc:0.699488 train-auc:0.722327
[122] eval-auc:0.699739 train-auc:0.722368
[123] eval-auc:0.699963 train-auc:0.722795
[124] eval-auc:0.699768 train-auc:0.722746
[125] eval-auc:0.699486 train-auc:0.722778
[126] eval-auc:0.700024 train-auc:0.72299
[127] eval-auc:0.699626 train-auc:0.723234
[128] eval-auc:0.69923 train-auc:0.723419
[129] eval-auc:0.699248 train-auc:0.72356
[130] eval-auc:0.699237 train-auc:0.723904
[131] eval-auc:0.698988 train-auc:0.723777
[132] eval-auc:0.698026 train-auc:0.723966
[133] eval-auc:0.698029 train-auc:0.724033
[134] eval-auc:0.69816 train-auc:0.724291
[135] eval-auc:0.698375 train-auc:0.724306
[136] eval-auc:0.698351 train-auc:0.724471
[137] eval-auc:0.697299 train-auc:0.724498
[138] eval-auc:0.696791 train-auc:0.724524
[139] eval-auc:0.695938 train-auc:0.724526
[140] eval-auc:0.69622 train-auc:0.724665
[141] eval-auc:0.696384 train-auc:0.724772
[142] eval-auc:0.697056 train-auc:0.7251
[143] eval-auc:0.69749 train-auc:0.725335
[144] eval-auc:0.696974 train-auc:0.725448
[145] eval-auc:0.697118 train-auc:0.725422
[146] eval-auc:0.697347 train-auc:0.725684
[147] eval-auc:0.69864 train-auc:0.725853
[148] eval-auc:0.698731 train-auc:0.726097
[149] eval-auc:0.697904 train-auc:0.726229
[150] eval-auc:0.698064 train-auc:0.726378
[151] eval-auc:0.698565 train-auc:0.726551
[152] eval-auc:0.698539 train-auc:0.72663
[153] eval-auc:0.698161 train-auc:0.726588
[154] eval-auc:0.698965 train-auc:0.726591
[155] eval-auc:0.699351 train-auc:0.727049
[156] eval-auc:0.698862 train-auc:0.727074
[157] eval-auc:0.699361 train-auc:0.727221
[158] eval-auc:0.699174 train-auc:0.727204
[159] eval-auc:0.699852 train-auc:0.727298
[160] eval-auc:0.700328 train-auc:0.727263
[161] eval-auc:0.700884 train-auc:0.727391
[162] eval-auc:0.701416 train-auc:0.727461
[163] eval-auc:0.702503 train-auc:0.727424
[164] eval-auc:0.702114 train-auc:0.727595
[165] eval-auc:0.702312 train-auc:0.727632
[166] eval-auc:0.701283 train-auc:0.72777
[167] eval-auc:0.700851 train-auc:0.727952
[168] eval-auc:0.701116 train-auc:0.728072
[169] eval-auc:0.700235 train-auc:0.728338
[170] eval-auc:0.700654 train-auc:0.728362
[171] eval-auc:0.700558 train-auc:0.728384
[172] eval-auc:0.700517 train-auc:0.728607
[173] eval-auc:0.700572 train-auc:0.728696
[174] eval-auc:0.700447 train-auc:0.728794
[175] eval-auc:0.69967 train-auc:0.72883
[176] eval-auc:0.699897 train-auc:0.729201
[177] eval-auc:0.700175 train-auc:0.729456
[178] eval-auc:0.700206 train-auc:0.729582
[179] eval-auc:0.700382 train-auc:0.730002
[180] eval-auc:0.700724 train-auc:0.7304
[181] eval-auc:0.700503 train-auc:0.730246
[182] eval-auc:0.700424 train-auc:0.730382
[183] eval-auc:0.69994 train-auc:0.730204
[184] eval-auc:0.699194 train-auc:0.730316
[185] eval-auc:0.699836 train-auc:0.730382
[186] eval-auc:0.699345 train-auc:0.730537
[187] eval-auc:0.699596 train-auc:0.73017
[188] eval-auc:0.6999 train-auc:0.730165
[189] eval-auc:0.699989 train-auc:0.730391
[190] eval-auc:0.699926 train-auc:0.729984
[191] eval-auc:0.700228 train-auc:0.730041
[192] eval-auc:0.700249 train-auc:0.730059
[193] eval-auc:0.700668 train-auc:0.730277
[194] eval-auc:0.700628 train-auc:0.730417
[195] eval-auc:0.700578 train-auc:0.730424
[196] eval-auc:0.70068 train-auc:0.730598
[197] eval-auc:0.700858 train-auc:0.730932
[198] eval-auc:0.701065 train-auc:0.731049
[199] eval-auc:0.701046 train-auc:0.731056
[200] eval-auc:0.701755 train-auc:0.731289
[201] eval-auc:0.701193 train-auc:0.731377
[202] eval-auc:0.701309 train-auc:0.731464
[203] eval-auc:0.701452 train-auc:0.731837
[204] eval-auc:0.700756 train-auc:0.731949
[205] eval-auc:0.700942 train-auc:0.73209
[206] eval-auc:0.700211 train-auc:0.732241
[207] eval-auc:0.699797 train-auc:0.732375
[208] eval-auc:0.699724 train-auc:0.732398
[209] eval-auc:0.699923 train-auc:0.732703
[210] eval-auc:0.699625 train-auc:0.732826
[211] eval-auc:0.699162 train-auc:0.732782
[212] eval-auc:0.699611 train-auc:0.73287
[213] eval-auc:0.698815 train-auc:0.733031
[214] eval-auc:0.698335 train-auc:0.732862
[215] eval-auc:0.697268 train-auc:0.732859
[216] eval-auc:0.697854 train-auc:0.733058
[217] eval-auc:0.698283 train-auc:0.733324
[218] eval-auc:0.698474 train-auc:0.73382
[219] eval-auc:0.698767 train-auc:0.734111
[220] eval-auc:0.698563 train-auc:0.733726
[221] eval-auc:0.698623 train-auc:0.73384
[222] eval-auc:0.698624 train-auc:0.734036
[223] eval-auc:0.699098 train-auc:0.733954
[224] eval-auc:0.699081 train-auc:0.734104
[225] eval-auc:0.699436 train-auc:0.734228
[226] eval-auc:0.699655 train-auc:0.734235
[227] eval-auc:0.699023 train-auc:0.73414
[228] eval-auc:0.699299 train-auc:0.73422
[229] eval-auc:0.699754 train-auc:0.734144
[230] eval-auc:0.699265 train-auc:0.734222
[231] eval-auc:0.698751 train-auc:0.734353
[232] eval-auc:0.698437 train-auc:0.734478
[233] eval-auc:0.69789 train-auc:0.734567
[234] eval-auc:0.697627 train-auc:0.734534
[235] eval-auc:0.697925 train-auc:0.734841
[236] eval-auc:0.698119 train-auc:0.734954
[237] eval-auc:0.698215 train-auc:0.73454
[238] eval-auc:0.697144 train-auc:0.734423
[239] eval-auc:0.696946 train-auc:0.734163
[240] eval-auc:0.697383 train-auc:0.734113
[241] eval-auc:0.697319 train-auc:0.734173
[242] eval-auc:0.69837 train-auc:0.734213
[243] eval-auc:0.697999 train-auc:0.734352
[244] eval-auc:0.698588 train-auc:0.734435
[245] eval-auc:0.69872 train-auc:0.734559
[246] eval-auc:0.69844 train-auc:0.734604
[247] eval-auc:0.69826 train-auc:0.734809
[248] eval-auc:0.697986 train-auc:0.734599
[249] eval-auc:0.697928 train-auc:0.734658
[250] eval-auc:0.697823 train-auc:0.734769
[251] eval-auc:0.697849 train-auc:0.734949
[252] eval-auc:0.698131 train-auc:0.735305
[253] eval-auc:0.697811 train-auc:0.735132
[254] eval-auc:0.69835 train-auc:0.735178
[255] eval-auc:0.698461 train-auc:0.735127
[256] eval-auc:0.698662 train-auc:0.735058
[257] eval-auc:0.698819 train-auc:0.735236
[258] eval-auc:0.699083 train-auc:0.735207
[259] eval-auc:0.698364 train-auc:0.735161
[260] eval-auc:0.69754 train-auc:0.735253
[261] eval-auc:0.697304 train-auc:0.735228
[262] eval-auc:0.697583 train-auc:0.735251
[263] eval-auc:0.697555 train-auc:0.735309
[264] eval-auc:0.6976 train-auc:0.735405
[265] eval-auc:0.697545 train-auc:0.735631
[266] eval-auc:0.697997 train-auc:0.735731
[267] eval-auc:0.69826 train-auc:0.735897
[268] eval-auc:0.69812 train-auc:0.735937
[269] eval-auc:0.698034 train-auc:0.735981
[270] eval-auc:0.697791 train-auc:0.735973
[271] eval-auc:0.698334 train-auc:0.736063
[272] eval-auc:0.69772 train-auc:0.73619
[273] eval-auc:0.698516 train-auc:0.736236
[274] eval-auc:0.698573 train-auc:0.736347
[275] eval-auc:0.699121 train-auc:0.736527
[276] eval-auc:0.699663 train-auc:0.736497
[277] eval-auc:0.698839 train-auc:0.736663
[278] eval-auc:0.698225 train-auc:0.736787
[279] eval-auc:0.698114 train-auc:0.73686
Score 0.6981142418594453
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 1.0, 'eta': 0.225, 'eval_metric': 'auc', 'gamma': 0.6000000000000001, 'max_depth': 10, 'min_child_weight': 5.0, 'n_estimators': 679.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.75, 'tree_method': 'exact'}
[0] eval-auc:0.686856 train-auc:0.846713
[1] eval-auc:0.699887 train-auc:0.888238
[2] eval-auc:0.70103 train-auc:0.909261
[3] eval-auc:0.701265 train-auc:0.928758
[4] eval-auc:0.70676 train-auc:0.946437
[5] eval-auc:0.71224 train-auc:0.954702
[6] eval-auc:0.710681 train-auc:0.960676
[7] eval-auc:0.711392 train-auc:0.968334
[8] eval-auc:0.708403 train-auc:0.975196
[9] eval-auc:0.704702 train-auc:0.977376
[10] eval-auc:0.701999 train-auc:0.98018
[11] eval-auc:0.700728 train-auc:0.984078
[12] eval-auc:0.703172 train-auc:0.987436
[13] eval-auc:0.703873 train-auc:0.989754
[14] eval-auc:0.704088 train-auc:0.991768
[15] eval-auc:0.702542 train-auc:0.992801
[16] eval-auc:0.701243 train-auc:0.994287
[17] eval-auc:0.701723 train-auc:0.995087
[18] eval-auc:0.700969 train-auc:0.99592
[19] eval-auc:0.702206 train-auc:0.99662
[20] eval-auc:0.704924 train-auc:0.996879
[21] eval-auc:0.702079 train-auc:0.997237
[22] eval-auc:0.703856 train-auc:0.99767
[23] eval-auc:0.702454 train-auc:0.99819
[24] eval-auc:0.700313 train-auc:0.998654
[25] eval-auc:0.700733 train-auc:0.999085
[26] eval-auc:0.700493 train-auc:0.999134
[27] eval-auc:0.69839 train-auc:0.999286
[28] eval-auc:0.698116 train-auc:0.999406
[29] eval-auc:0.696703 train-auc:0.999464
[30] eval-auc:0.697414 train-auc:0.99957
[31] eval-auc:0.697123 train-auc:0.999592
[32] eval-auc:0.695981 train-auc:0.99962
[33] eval-auc:0.696605 train-auc:0.999713
[34] eval-auc:0.695381 train-auc:0.999809
[35] eval-auc:0.694667 train-auc:0.999854
[36] eval-auc:0.694341 train-auc:0.999859
[37] eval-auc:0.695438 train-auc:0.999891
[38] eval-auc:0.695606 train-auc:0.999891
[39] eval-auc:0.69431 train-auc:0.999896
[40] eval-auc:0.69493 train-auc:0.999932
[41] eval-auc:0.695976 train-auc:0.999958
[42] eval-auc:0.694496 train-auc:0.999982
[43] eval-auc:0.694871 train-auc:0.999985
[44] eval-auc:0.693453 train-auc:0.999986
[45] eval-auc:0.694513 train-auc:0.999982
[46] eval-auc:0.694501 train-auc:0.999984
[47] eval-auc:0.693953 train-auc:0.99999
[48] eval-auc:0.694239 train-auc:0.999991
[49] eval-auc:0.693749 train-auc:0.999994
[50] eval-auc:0.694144 train-auc:0.999994
[51] eval-auc:0.693429 train-auc:0.999996
[52] eval-auc:0.694082 train-auc:0.999996
[53] eval-auc:0.692351 train-auc:0.999998
[54] eval-auc:0.692835 train-auc:0.999998
[55] eval-auc:0.693153 train-auc:0.999999
[56] eval-auc:0.694003 train-auc:0.999999
[57] eval-auc:0.692996 train-auc:0.999998
[58] eval-auc:0.693193 train-auc:0.999999
[59] eval-auc:0.693286 train-auc:0.999999
[60] eval-auc:0.694886 train-auc:0.999999
[61] eval-auc:0.695466 train-auc:0.999999
[62] eval-auc:0.695551 train-auc:0.999999
[63] eval-auc:0.695976 train-auc:1
[64] eval-auc:0.696327 train-auc:1
[65] eval-auc:0.696969 train-auc:1
[66] eval-auc:0.696362 train-auc:1
[67] eval-auc:0.697137 train-auc:0.999999
[68] eval-auc:0.696794 train-auc:0.999999
[69] eval-auc:0.696346 train-auc:1
[70] eval-auc:0.69546 train-auc:0.999999
[71] eval-auc:0.695481 train-auc:0.999999
[72] eval-auc:0.695025 train-auc:1
[73] eval-auc:0.694303 train-auc:1
[74] eval-auc:0.694615 train-auc:1
[75] eval-auc:0.694176 train-auc:1
[76] eval-auc:0.696581 train-auc:1
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[78] eval-auc:0.696742 train-auc:1
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[80] eval-auc:0.695739 train-auc:1
[81] eval-auc:0.695099 train-auc:1
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[84] eval-auc:0.694819 train-auc:1
[85] eval-auc:0.694464 train-auc:1
[86] eval-auc:0.694393 train-auc:1
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[88] eval-auc:0.694556 train-auc:1
[89] eval-auc:0.695515 train-auc:1
[90] eval-auc:0.694866 train-auc:1
[91] eval-auc:0.694793 train-auc:1
[92] eval-auc:0.694487 train-auc:1
[93] eval-auc:0.694272 train-auc:1
[94] eval-auc:0.694358 train-auc:1
[95] eval-auc:0.694371 train-auc:1
[96] eval-auc:0.693707 train-auc:1
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[100] eval-auc:0.690903 train-auc:1
[101] eval-auc:0.689876 train-auc:1
[102] eval-auc:0.690572 train-auc:1
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[106] eval-auc:0.68869 train-auc:1
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[110] eval-auc:0.691658 train-auc:1
[111] eval-auc:0.691988 train-auc:1
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[118] eval-auc:0.69079 train-auc:1
[119] eval-auc:0.691573 train-auc:1
[120] eval-auc:0.691161 train-auc:1
[121] eval-auc:0.691608 train-auc:1
[122] eval-auc:0.691964 train-auc:1
[123] eval-auc:0.691195 train-auc:1
[124] eval-auc:0.690802 train-auc:1
[125] eval-auc:0.69133 train-auc:1
[126] eval-auc:0.691463 train-auc:1
[127] eval-auc:0.691464 train-auc:1
[128] eval-auc:0.692121 train-auc:1
[129] eval-auc:0.6922 train-auc:1
[130] eval-auc:0.691679 train-auc:1
[131] eval-auc:0.691528 train-auc:1
[132] eval-auc:0.691507 train-auc:1
[133] eval-auc:0.691397 train-auc:1
[134] eval-auc:0.69118 train-auc:1
[135] eval-auc:0.691143 train-auc:1
[136] eval-auc:0.691312 train-auc:1
[137] eval-auc:0.691116 train-auc:1
[138] eval-auc:0.691554 train-auc:1
[139] eval-auc:0.691119 train-auc:1
[140] eval-auc:0.690938 train-auc:1
[141] eval-auc:0.690921 train-auc:1
[142] eval-auc:0.69133 train-auc:1
[143] eval-auc:0.69164 train-auc:1
[144] eval-auc:0.691332 train-auc:1
[145] eval-auc:0.691353 train-auc:1
[146] eval-auc:0.691199 train-auc:1
[147] eval-auc:0.690901 train-auc:1
[148] eval-auc:0.690878 train-auc:1
[149] eval-auc:0.690953 train-auc:1
[150] eval-auc:0.690604 train-auc:1
[151] eval-auc:0.690056 train-auc:1
[152] eval-auc:0.690345 train-auc:1
[153] eval-auc:0.690074 train-auc:1
[154] eval-auc:0.690105 train-auc:1
[155] eval-auc:0.690173 train-auc:1
[156] eval-auc:0.690671 train-auc:1
[157] eval-auc:0.690858 train-auc:1
[158] eval-auc:0.690881 train-auc:1
[159] eval-auc:0.690989 train-auc:1
[160] eval-auc:0.690191 train-auc:1
[161] eval-auc:0.690682 train-auc:1
[162] eval-auc:0.689933 train-auc:1
[163] eval-auc:0.689537 train-auc:1
[164] eval-auc:0.688969 train-auc:1
[165] eval-auc:0.689398 train-auc:1
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[169] eval-auc:0.690954 train-auc:1
[170] eval-auc:0.691323 train-auc:1
[171] eval-auc:0.690989 train-auc:1
[172] eval-auc:0.691052 train-auc:1
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[174] eval-auc:0.690149 train-auc:1
[175] eval-auc:0.69005 train-auc:1
[176] eval-auc:0.68927 train-auc:1
[177] eval-auc:0.690038 train-auc:1
[178] eval-auc:0.689692 train-auc:1
[179] eval-auc:0.689604 train-auc:1
[180] eval-auc:0.68961 train-auc:1
[181] eval-auc:0.689151 train-auc:1
[182] eval-auc:0.688749 train-auc:1
[183] eval-auc:0.688882 train-auc:1
[184] eval-auc:0.688832 train-auc:1
[185] eval-auc:0.689244 train-auc:1
[186] eval-auc:0.689342 train-auc:1
[187] eval-auc:0.688538 train-auc:1
[188] eval-auc:0.688579 train-auc:1
[189] eval-auc:0.688702 train-auc:1
[190] eval-auc:0.688644 train-auc:1
[191] eval-auc:0.687999 train-auc:1
[192] eval-auc:0.687779 train-auc:1
[193] eval-auc:0.688286 train-auc:1
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[198] eval-auc:0.687482 train-auc:1
[199] eval-auc:0.687126 train-auc:1
[200] eval-auc:0.686998 train-auc:1
[201] eval-auc:0.687347 train-auc:1
[202] eval-auc:0.686919 train-auc:1
[203] eval-auc:0.686568 train-auc:1
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[208] eval-auc:0.686511 train-auc:1
[209] eval-auc:0.686613 train-auc:1
[210] eval-auc:0.686327 train-auc:1
[211] eval-auc:0.686181 train-auc:1
[212] eval-auc:0.685836 train-auc:1
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[219] eval-auc:0.68596 train-auc:1
[220] eval-auc:0.686331 train-auc:1
[221] eval-auc:0.686188 train-auc:1
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[224] eval-auc:0.685996 train-auc:1
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[270] eval-auc:0.684795 train-auc:1
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[276] eval-auc:0.684856 train-auc:1
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[280] eval-auc:0.685086 train-auc:1
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[300] eval-auc:0.685227 train-auc:1
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[331] eval-auc:0.686333 train-auc:1
[332] eval-auc:0.686604 train-auc:1
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[442] eval-auc:0.68328 train-auc:1
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[447] eval-auc:0.683003 train-auc:1
[448] eval-auc:0.682963 train-auc:1
[449] eval-auc:0.682827 train-auc:1
[450] eval-auc:0.682718 train-auc:1
[451] eval-auc:0.682733 train-auc:1
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[455] eval-auc:0.683339 train-auc:1
[456] eval-auc:0.683467 train-auc:1
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[459] eval-auc:0.683424 train-auc:1
[460] eval-auc:0.683612 train-auc:1
[461] eval-auc:0.683612 train-auc:1
[462] eval-auc:0.683612 train-auc:1
[463] eval-auc:0.683607 train-auc:1
[464] eval-auc:0.683872 train-auc:1
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[466] eval-auc:0.684289 train-auc:1
[467] eval-auc:0.684273 train-auc:1
[468] eval-auc:0.684273 train-auc:1
[469] eval-auc:0.684061 train-auc:1
[470] eval-auc:0.683767 train-auc:1
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[475] eval-auc:0.683667 train-auc:1
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[478] eval-auc:0.683811 train-auc:1
[479] eval-auc:0.683811 train-auc:1
[480] eval-auc:0.683533 train-auc:1
[481] eval-auc:0.683533 train-auc:1
[482] eval-auc:0.683533 train-auc:1
[483] eval-auc:0.683533 train-auc:1
[484] eval-auc:0.683644 train-auc:1
[485] eval-auc:0.683895 train-auc:1
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[487] eval-auc:0.684206 train-auc:1
[488] eval-auc:0.683878 train-auc:1
[489] eval-auc:0.683945 train-auc:1
[490] eval-auc:0.68403 train-auc:1
[491] eval-auc:0.68403 train-auc:1
[492] eval-auc:0.68403 train-auc:1
[493] eval-auc:0.68404 train-auc:1
[494] eval-auc:0.68421 train-auc:1
[495] eval-auc:0.684155 train-auc:1
[496] eval-auc:0.684097 train-auc:1
[497] eval-auc:0.684097 train-auc:1
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[500] eval-auc:0.684198 train-auc:1
[501] eval-auc:0.684018 train-auc:1
[502] eval-auc:0.683641 train-auc:1
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[506] eval-auc:0.683338 train-auc:1
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[508] eval-auc:0.683196 train-auc:1
[509] eval-auc:0.683196 train-auc:1
[510] eval-auc:0.683196 train-auc:1
[511] eval-auc:0.683062 train-auc:1
[512] eval-auc:0.683033 train-auc:1
[513] eval-auc:0.683033 train-auc:1
[514] eval-auc:0.683033 train-auc:1
[515] eval-auc:0.683033 train-auc:1
[516] eval-auc:0.683033 train-auc:1
[517] eval-auc:0.683033 train-auc:1
[518] eval-auc:0.683033 train-auc:1
[519] eval-auc:0.683064 train-auc:1
[520] eval-auc:0.683097 train-auc:1
[521] eval-auc:0.683097 train-auc:1
[522] eval-auc:0.683097 train-auc:1
[523] eval-auc:0.683097 train-auc:1
[524] eval-auc:0.683146 train-auc:1
[525] eval-auc:0.683146 train-auc:1
[526] eval-auc:0.68317 train-auc:1
[527] eval-auc:0.68317 train-auc:1
[528] eval-auc:0.683091 train-auc:1
[529] eval-auc:0.683091 train-auc:1
[530] eval-auc:0.683301 train-auc:1
[531] eval-auc:0.6837 train-auc:1
[532] eval-auc:0.68389 train-auc:1
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[534] eval-auc:0.683452 train-auc:1
[535] eval-auc:0.683417 train-auc:1
[536] eval-auc:0.683417 train-auc:1
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[538] eval-auc:0.683324 train-auc:1
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[540] eval-auc:0.683169 train-auc:1
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[544] eval-auc:0.682968 train-auc:1
[545] eval-auc:0.683194 train-auc:1
[546] eval-auc:0.683194 train-auc:1
[547] eval-auc:0.683194 train-auc:1
[548] eval-auc:0.683194 train-auc:1
[549] eval-auc:0.683389 train-auc:1
[550] eval-auc:0.683389 train-auc:1
[551] eval-auc:0.683389 train-auc:1
[552] eval-auc:0.683546 train-auc:1
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[554] eval-auc:0.682852 train-auc:1
[555] eval-auc:0.682905 train-auc:1
[556] eval-auc:0.682905 train-auc:1
[557] eval-auc:0.682905 train-auc:1
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[560] eval-auc:0.682905 train-auc:1
[561] eval-auc:0.682905 train-auc:1
[562] eval-auc:0.683036 train-auc:1
[563] eval-auc:0.682957 train-auc:1
[564] eval-auc:0.682957 train-auc:1
[565] eval-auc:0.682957 train-auc:1
[566] eval-auc:0.682983 train-auc:1
[567] eval-auc:0.682983 train-auc:1
[568] eval-auc:0.682983 train-auc:1
[569] eval-auc:0.682951 train-auc:1
[570] eval-auc:0.682951 train-auc:1
[571] eval-auc:0.682951 train-auc:1
[572] eval-auc:0.682951 train-auc:1
[573] eval-auc:0.682951 train-auc:1
[574] eval-auc:0.682951 train-auc:1
[575] eval-auc:0.683127 train-auc:1
[576] eval-auc:0.683127 train-auc:1
[577] eval-auc:0.682945 train-auc:1
[578] eval-auc:0.683003 train-auc:1
[579] eval-auc:0.682957 train-auc:1
[580] eval-auc:0.682957 train-auc:1
[581] eval-auc:0.682957 train-auc:1
[582] eval-auc:0.682957 train-auc:1
[583] eval-auc:0.68321 train-auc:1
[584] eval-auc:0.68321 train-auc:1
[585] eval-auc:0.68321 train-auc:1
[586] eval-auc:0.683278 train-auc:1
[587] eval-auc:0.683278 train-auc:1
[588] eval-auc:0.683278 train-auc:1
[589] eval-auc:0.683278 train-auc:1
[590] eval-auc:0.683278 train-auc:1
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[594] eval-auc:0.683041 train-auc:1
[595] eval-auc:0.683124 train-auc:1
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[599] eval-auc:0.683002 train-auc:1
[600] eval-auc:0.682983 train-auc:1
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[602] eval-auc:0.682971 train-auc:1
[603] eval-auc:0.682809 train-auc:1
[604] eval-auc:0.682809 train-auc:1
[605] eval-auc:0.682814 train-auc:1
[606] eval-auc:0.682739 train-auc:1
[607] eval-auc:0.682739 train-auc:1
[608] eval-auc:0.682978 train-auc:1
[609] eval-auc:0.682876 train-auc:1
[610] eval-auc:0.682876 train-auc:1
[611] eval-auc:0.683141 train-auc:1
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[613] eval-auc:0.683182 train-auc:1
[614] eval-auc:0.683182 train-auc:1
[615] eval-auc:0.683182 train-auc:1
[616] eval-auc:0.683182 train-auc:1
[617] eval-auc:0.683182 train-auc:1
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[620] eval-auc:0.683182 train-auc:1
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[622] eval-auc:0.683182 train-auc:1
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[624] eval-auc:0.683182 train-auc:1
[625] eval-auc:0.683077 train-auc:1
[626] eval-auc:0.683033 train-auc:1
[627] eval-auc:0.683339 train-auc:1
[628] eval-auc:0.683583 train-auc:1
[629] eval-auc:0.683583 train-auc:1
[630] eval-auc:0.683583 train-auc:1
[631] eval-auc:0.683583 train-auc:1
[632] eval-auc:0.683446 train-auc:1
[633] eval-auc:0.683446 train-auc:1
[634] eval-auc:0.683446 train-auc:1
[635] eval-auc:0.683446 train-auc:1
[636] eval-auc:0.683446 train-auc:1
[637] eval-auc:0.683523 train-auc:1
[638] eval-auc:0.683523 train-auc:1
[639] eval-auc:0.683523 train-auc:1
[640] eval-auc:0.683651 train-auc:1
[641] eval-auc:0.683689 train-auc:1
[642] eval-auc:0.68361 train-auc:1
[643] eval-auc:0.68361 train-auc:1
[644] eval-auc:0.68361 train-auc:1
[645] eval-auc:0.68361 train-auc:1
[646] eval-auc:0.683826 train-auc:1
[647] eval-auc:0.683764 train-auc:1
[648] eval-auc:0.683764 train-auc:1
[649] eval-auc:0.683764 train-auc:1
[650] eval-auc:0.683764 train-auc:1
[651] eval-auc:0.683764 train-auc:1
[652] eval-auc:0.683764 train-auc:1
[653] eval-auc:0.683764 train-auc:1
[654] eval-auc:0.683764 train-auc:1
[655] eval-auc:0.683735 train-auc:1
[656] eval-auc:0.683858 train-auc:1
[657] eval-auc:0.68397 train-auc:1
[658] eval-auc:0.68397 train-auc:1
[659] eval-auc:0.68397 train-auc:1
[660] eval-auc:0.683956 train-auc:1
[661] eval-auc:0.684 train-auc:1
[662] eval-auc:0.684 train-auc:1
[663] eval-auc:0.684 train-auc:1
[664] eval-auc:0.684 train-auc:1
[665] eval-auc:0.684222 train-auc:1
[666] eval-auc:0.684222 train-auc:1
[667] eval-auc:0.684222 train-auc:1
[668] eval-auc:0.684222 train-auc:1
[669] eval-auc:0.684222 train-auc:1
[670] eval-auc:0.684222 train-auc:1
[671] eval-auc:0.684222 train-auc:1
[672] eval-auc:0.68456 train-auc:1
[673] eval-auc:0.684556 train-auc:1
[674] eval-auc:0.684562 train-auc:1
[675] eval-auc:0.684586 train-auc:1
[676] eval-auc:0.684531 train-auc:1
[677] eval-auc:0.684531 train-auc:1
[678] eval-auc:0.684531 train-auc:1
Score 0.6845314232113925
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8500000000000001, 'eta': 0.25, 'eval_metric': 'auc', 'gamma': 0.55, 'max_depth': 4, 'min_child_weight': 4.0, 'n_estimators': 561.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.5, 'tree_method': 'exact'}
[0] eval-auc:0.684332 train-auc:0.728285
[1] eval-auc:0.672294 train-auc:0.732602
[2] eval-auc:0.683482 train-auc:0.740184
[3] eval-auc:0.682727 train-auc:0.74969
[4] eval-auc:0.684283 train-auc:0.759832
[5] eval-auc:0.688755 train-auc:0.767473
[6] eval-auc:0.687264 train-auc:0.773509
[7] eval-auc:0.688449 train-auc:0.778078
[8] eval-auc:0.691355 train-auc:0.781257
[9] eval-auc:0.695137 train-auc:0.78934
[10] eval-auc:0.699661 train-auc:0.795375
[11] eval-auc:0.699683 train-auc:0.797801
[12] eval-auc:0.70378 train-auc:0.801814
[13] eval-auc:0.707005 train-auc:0.805511
[14] eval-auc:0.706158 train-auc:0.812991
[15] eval-auc:0.708523 train-auc:0.816025
[16] eval-auc:0.707705 train-auc:0.817159
[17] eval-auc:0.709213 train-auc:0.821734
[18] eval-auc:0.708926 train-auc:0.828934
[19] eval-auc:0.706058 train-auc:0.829039
[20] eval-auc:0.704612 train-auc:0.833159
[21] eval-auc:0.702865 train-auc:0.834475
[22] eval-auc:0.702912 train-auc:0.837707
[23] eval-auc:0.702717 train-auc:0.839872
[24] eval-auc:0.701974 train-auc:0.842792
[25] eval-auc:0.700162 train-auc:0.84284
[26] eval-auc:0.698525 train-auc:0.846014
[27] eval-auc:0.699468 train-auc:0.846533
[28] eval-auc:0.70264 train-auc:0.847996
[29] eval-auc:0.700538 train-auc:0.848014
[30] eval-auc:0.704379 train-auc:0.850257
[31] eval-auc:0.705478 train-auc:0.854287
[32] eval-auc:0.706386 train-auc:0.856652
[33] eval-auc:0.703322 train-auc:0.858278
[34] eval-auc:0.704115 train-auc:0.859214
[35] eval-auc:0.703971 train-auc:0.86141
[36] eval-auc:0.70384 train-auc:0.860628
[37] eval-auc:0.702646 train-auc:0.861101
[38] eval-auc:0.701977 train-auc:0.865111
[39] eval-auc:0.700726 train-auc:0.867615
[40] eval-auc:0.700339 train-auc:0.868701
[41] eval-auc:0.699996 train-auc:0.872379
[42] eval-auc:0.701099 train-auc:0.873205
[43] eval-auc:0.7007 train-auc:0.87469
[44] eval-auc:0.703349 train-auc:0.876147
[45] eval-auc:0.701393 train-auc:0.878192
[46] eval-auc:0.702641 train-auc:0.881185
[47] eval-auc:0.70246 train-auc:0.882966
[48] eval-auc:0.700188 train-auc:0.884663
[49] eval-auc:0.699794 train-auc:0.88696
[50] eval-auc:0.700458 train-auc:0.888178
[51] eval-auc:0.700583 train-auc:0.889141
[52] eval-auc:0.697057 train-auc:0.888946
[53] eval-auc:0.695792 train-auc:0.890209
[54] eval-auc:0.694636 train-auc:0.891519
[55] eval-auc:0.695446 train-auc:0.89116
[56] eval-auc:0.693837 train-auc:0.891984
[57] eval-auc:0.696351 train-auc:0.893988
[58] eval-auc:0.696799 train-auc:0.89553
[59] eval-auc:0.696486 train-auc:0.896099
[60] eval-auc:0.695035 train-auc:0.897288
[61] eval-auc:0.697009 train-auc:0.899154
[62] eval-auc:0.698099 train-auc:0.900512
[63] eval-auc:0.699063 train-auc:0.903165
[64] eval-auc:0.700686 train-auc:0.903674
[65] eval-auc:0.698617 train-auc:0.903193
[66] eval-auc:0.700267 train-auc:0.905876
[67] eval-auc:0.698598 train-auc:0.908738
[68] eval-auc:0.69622 train-auc:0.909164
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[439] eval-auc:0.695923 train-auc:0.998495
[440] eval-auc:0.69511 train-auc:0.998471
[441] eval-auc:0.696075 train-auc:0.998484
[442] eval-auc:0.696212 train-auc:0.998485
[443] eval-auc:0.695565 train-auc:0.998549
[444] eval-auc:0.695213 train-auc:0.998547
[445] eval-auc:0.695148 train-auc:0.998575
[446] eval-auc:0.695548 train-auc:0.998584
[447] eval-auc:0.695419 train-auc:0.998596
[448] eval-auc:0.694933 train-auc:0.998556
[449] eval-auc:0.694516 train-auc:0.998531
[450] eval-auc:0.694246 train-auc:0.998577
[451] eval-auc:0.693619 train-auc:0.998625
[452] eval-auc:0.693843 train-auc:0.998621
[453] eval-auc:0.694353 train-auc:0.998639
[454] eval-auc:0.694313 train-auc:0.998683
[455] eval-auc:0.694216 train-auc:0.9987
[456] eval-auc:0.694653 train-auc:0.99871
[457] eval-auc:0.694152 train-auc:0.998734
[458] eval-auc:0.692919 train-auc:0.998735
[459] eval-auc:0.692878 train-auc:0.998793
[460] eval-auc:0.693063 train-auc:0.998877
[461] eval-auc:0.692716 train-auc:0.9989
[462] eval-auc:0.693479 train-auc:0.998851
[463] eval-auc:0.693785 train-auc:0.99886
[464] eval-auc:0.694184 train-auc:0.998865
[465] eval-auc:0.693644 train-auc:0.998874
[466] eval-auc:0.693889 train-auc:0.998905
[467] eval-auc:0.693348 train-auc:0.998908
[468] eval-auc:0.693199 train-auc:0.998878
[469] eval-auc:0.692843 train-auc:0.998842
[470] eval-auc:0.692881 train-auc:0.998851
[471] eval-auc:0.693074 train-auc:0.998852
[472] eval-auc:0.693633 train-auc:0.998889
[473] eval-auc:0.695055 train-auc:0.998914
[474] eval-auc:0.695536 train-auc:0.998937
[475] eval-auc:0.695888 train-auc:0.999003
[476] eval-auc:0.695127 train-auc:0.999018
[477] eval-auc:0.695069 train-auc:0.999047
[478] eval-auc:0.695012 train-auc:0.999067
[479] eval-auc:0.694831 train-auc:0.999061
[480] eval-auc:0.695019 train-auc:0.999045
[481] eval-auc:0.694786 train-auc:0.99908
[482] eval-auc:0.695082 train-auc:0.999071
[483] eval-auc:0.695434 train-auc:0.999124
[484] eval-auc:0.694245 train-auc:0.999138
[485] eval-auc:0.693887 train-auc:0.999146
[486] eval-auc:0.693799 train-auc:0.999141
[487] eval-auc:0.694144 train-auc:0.999183
[488] eval-auc:0.693811 train-auc:0.999206
[489] eval-auc:0.693881 train-auc:0.999245
[490] eval-auc:0.693904 train-auc:0.999256
[491] eval-auc:0.693512 train-auc:0.999214
[492] eval-auc:0.693663 train-auc:0.999196
[493] eval-auc:0.693292 train-auc:0.999206
[494] eval-auc:0.693088 train-auc:0.999217
[495] eval-auc:0.693879 train-auc:0.999201
[496] eval-auc:0.693781 train-auc:0.999215
[497] eval-auc:0.694361 train-auc:0.99922
[498] eval-auc:0.695591 train-auc:0.999233
[499] eval-auc:0.696406 train-auc:0.9993
[500] eval-auc:0.695687 train-auc:0.999306
[501] eval-auc:0.695081 train-auc:0.999286
[502] eval-auc:0.695139 train-auc:0.999328
[503] eval-auc:0.695005 train-auc:0.99932
[504] eval-auc:0.693826 train-auc:0.999303
[505] eval-auc:0.69273 train-auc:0.999318
[506] eval-auc:0.691806 train-auc:0.9993
[507] eval-auc:0.691909 train-auc:0.99931
[508] eval-auc:0.691737 train-auc:0.999353
[509] eval-auc:0.69171 train-auc:0.999363
[510] eval-auc:0.693107 train-auc:0.999328
[511] eval-auc:0.693301 train-auc:0.999321
[512] eval-auc:0.692823 train-auc:0.999329
[513] eval-auc:0.692943 train-auc:0.999352
[514] eval-auc:0.69271 train-auc:0.999368
[515] eval-auc:0.692217 train-auc:0.999392
[516] eval-auc:0.692154 train-auc:0.999376
[517] eval-auc:0.691253 train-auc:0.999412
[518] eval-auc:0.690874 train-auc:0.999401
[519] eval-auc:0.691591 train-auc:0.999401
[520] eval-auc:0.690898 train-auc:0.999395
[521] eval-auc:0.690251 train-auc:0.999388
[522] eval-auc:0.690539 train-auc:0.99939
[523] eval-auc:0.691142 train-auc:0.999405
[524] eval-auc:0.691629 train-auc:0.999433
[525] eval-auc:0.69024 train-auc:0.999449
[526] eval-auc:0.690884 train-auc:0.999491
[527] eval-auc:0.690574 train-auc:0.999494
[528] eval-auc:0.690622 train-auc:0.999516
[529] eval-auc:0.690819 train-auc:0.999532
[530] eval-auc:0.690963 train-auc:0.999532
[531] eval-auc:0.69207 train-auc:0.99955
[532] eval-auc:0.692978 train-auc:0.999563
[533] eval-auc:0.692343 train-auc:0.999572
[534] eval-auc:0.691815 train-auc:0.999571
[535] eval-auc:0.691929 train-auc:0.999581
[536] eval-auc:0.691819 train-auc:0.999595
[537] eval-auc:0.690976 train-auc:0.999626
[538] eval-auc:0.690619 train-auc:0.999638
[539] eval-auc:0.6903 train-auc:0.999617
[540] eval-auc:0.690766 train-auc:0.99964
[541] eval-auc:0.690523 train-auc:0.999657
[542] eval-auc:0.690024 train-auc:0.999678
[543] eval-auc:0.690035 train-auc:0.999683
[544] eval-auc:0.689652 train-auc:0.999671
[545] eval-auc:0.689365 train-auc:0.999693
[546] eval-auc:0.689747 train-auc:0.999692
[547] eval-auc:0.690181 train-auc:0.999697
[548] eval-auc:0.689407 train-auc:0.999688
[549] eval-auc:0.689728 train-auc:0.999693
[550] eval-auc:0.690067 train-auc:0.999675
[551] eval-auc:0.690301 train-auc:0.999699
[552] eval-auc:0.690513 train-auc:0.999696
[553] eval-auc:0.690534 train-auc:0.999721
[554] eval-auc:0.691041 train-auc:0.999726
[555] eval-auc:0.6906 train-auc:0.999723
[556] eval-auc:0.690982 train-auc:0.999725
[557] eval-auc:0.690616 train-auc:0.999724
[558] eval-auc:0.690939 train-auc:0.999719
[559] eval-auc:0.690903 train-auc:0.999727
[560] eval-auc:0.691471 train-auc:0.999732
Score 0.6914705380745289
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9500000000000001, 'eta': 0.4, 'eval_metric': 'auc', 'gamma': 0.65, 'max_depth': 3, 'min_child_weight': 4.0, 'n_estimators': 123.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.55, 'tree_method': 'exact'}
[0] eval-auc:0.696973 train-auc:0.719689
[1] eval-auc:0.696968 train-auc:0.725128
[2] eval-auc:0.694931 train-auc:0.723588
[3] eval-auc:0.695442 train-auc:0.732722
[4] eval-auc:0.701619 train-auc:0.737179
[5] eval-auc:0.703592 train-auc:0.746418
[6] eval-auc:0.703238 train-auc:0.755288
[7] eval-auc:0.702907 train-auc:0.757733
[8] eval-auc:0.707371 train-auc:0.761077
[9] eval-auc:0.706078 train-auc:0.762664
[10] eval-auc:0.710712 train-auc:0.764287
[11] eval-auc:0.709593 train-auc:0.76699
[12] eval-auc:0.711493 train-auc:0.773954
[13] eval-auc:0.714366 train-auc:0.779281
[14] eval-auc:0.709038 train-auc:0.781945
[15] eval-auc:0.712558 train-auc:0.783034
[16] eval-auc:0.712076 train-auc:0.781448
[17] eval-auc:0.7165 train-auc:0.785523
[18] eval-auc:0.714577 train-auc:0.791287
[19] eval-auc:0.716102 train-auc:0.796141
[20] eval-auc:0.715145 train-auc:0.796196
[21] eval-auc:0.712186 train-auc:0.797439
[22] eval-auc:0.706399 train-auc:0.800747
[23] eval-auc:0.705708 train-auc:0.804807
[24] eval-auc:0.706588 train-auc:0.806761
[25] eval-auc:0.705767 train-auc:0.808353
[26] eval-auc:0.703603 train-auc:0.81137
[27] eval-auc:0.706772 train-auc:0.815059
[28] eval-auc:0.707775 train-auc:0.819131
[29] eval-auc:0.7058 train-auc:0.819921
[30] eval-auc:0.708352 train-auc:0.818557
[31] eval-auc:0.705135 train-auc:0.819628
[32] eval-auc:0.706211 train-auc:0.822909
[33] eval-auc:0.707885 train-auc:0.825006
[34] eval-auc:0.704349 train-auc:0.825647
[35] eval-auc:0.699699 train-auc:0.828166
[36] eval-auc:0.69969 train-auc:0.829897
[37] eval-auc:0.701079 train-auc:0.832378
[38] eval-auc:0.698566 train-auc:0.835371
[39] eval-auc:0.697732 train-auc:0.83789
[40] eval-auc:0.698391 train-auc:0.840284
[41] eval-auc:0.697979 train-auc:0.841937
[42] eval-auc:0.699537 train-auc:0.843569
[43] eval-auc:0.699023 train-auc:0.846865
[44] eval-auc:0.700133 train-auc:0.848579
[45] eval-auc:0.699229 train-auc:0.848943
[46] eval-auc:0.695444 train-auc:0.84947
[47] eval-auc:0.695748 train-auc:0.853324
[48] eval-auc:0.69707 train-auc:0.853261
[49] eval-auc:0.698049 train-auc:0.854402
[50] eval-auc:0.696899 train-auc:0.853152
[51] eval-auc:0.697222 train-auc:0.855226
[52] eval-auc:0.698128 train-auc:0.855183
[53] eval-auc:0.697076 train-auc:0.856909
[54] eval-auc:0.699896 train-auc:0.858334
[55] eval-auc:0.699903 train-auc:0.859631
[56] eval-auc:0.6982 train-auc:0.861416
[57] eval-auc:0.696997 train-auc:0.860444
[58] eval-auc:0.696288 train-auc:0.861431
[59] eval-auc:0.696416 train-auc:0.862895
[60] eval-auc:0.696458 train-auc:0.864567
[61] eval-auc:0.697581 train-auc:0.86702
[62] eval-auc:0.697022 train-auc:0.867764
[63] eval-auc:0.695582 train-auc:0.867521
[64] eval-auc:0.692162 train-auc:0.867771
[65] eval-auc:0.692259 train-auc:0.868603
[66] eval-auc:0.692497 train-auc:0.870172
[67] eval-auc:0.690593 train-auc:0.870734
[68] eval-auc:0.69012 train-auc:0.87159
[69] eval-auc:0.689031 train-auc:0.871931
[70] eval-auc:0.689177 train-auc:0.87303
[71] eval-auc:0.690434 train-auc:0.875104
[72] eval-auc:0.689451 train-auc:0.876123
[73] eval-auc:0.689655 train-auc:0.878631
[74] eval-auc:0.688311 train-auc:0.879681
[75] eval-auc:0.687129 train-auc:0.881327
[76] eval-auc:0.688427 train-auc:0.880946
[77] eval-auc:0.68709 train-auc:0.880695
[78] eval-auc:0.687635 train-auc:0.883033
[79] eval-auc:0.688541 train-auc:0.884002
[80] eval-auc:0.686774 train-auc:0.885065
[81] eval-auc:0.687224 train-auc:0.886276
[82] eval-auc:0.687129 train-auc:0.886031
[83] eval-auc:0.685874 train-auc:0.886569
[84] eval-auc:0.683694 train-auc:0.887256
[85] eval-auc:0.684735 train-auc:0.888125
[86] eval-auc:0.684624 train-auc:0.88766
[87] eval-auc:0.686516 train-auc:0.888838
[88] eval-auc:0.686569 train-auc:0.891591
[89] eval-auc:0.686244 train-auc:0.892572
[90] eval-auc:0.683571 train-auc:0.893737
[91] eval-auc:0.681725 train-auc:0.89418
[92] eval-auc:0.678127 train-auc:0.895434
[93] eval-auc:0.677129 train-auc:0.89654
[94] eval-auc:0.678203 train-auc:0.897788
[95] eval-auc:0.678291 train-auc:0.897398
[96] eval-auc:0.678005 train-auc:0.898689
[97] eval-auc:0.676825 train-auc:0.899367
[98] eval-auc:0.676822 train-auc:0.900353
[99] eval-auc:0.676199 train-auc:0.900925
[100] eval-auc:0.676712 train-auc:0.900975
[101] eval-auc:0.677516 train-auc:0.901934
[102] eval-auc:0.676983 train-auc:0.902234
[103] eval-auc:0.677918 train-auc:0.902921
[104] eval-auc:0.679193 train-auc:0.904867
[105] eval-auc:0.678026 train-auc:0.904892
[106] eval-auc:0.677507 train-auc:0.905598
[107] eval-auc:0.677373 train-auc:0.90599
[108] eval-auc:0.676598 train-auc:0.906792
[109] eval-auc:0.674882 train-auc:0.908441
[110] eval-auc:0.673985 train-auc:0.90934
[111] eval-auc:0.674541 train-auc:0.909352
[112] eval-auc:0.674695 train-auc:0.910222
[113] eval-auc:0.675176 train-auc:0.910985
[114] eval-auc:0.674137 train-auc:0.910983
[115] eval-auc:0.675456 train-auc:0.912465
[116] eval-auc:0.67622 train-auc:0.912891
[117] eval-auc:0.678349 train-auc:0.912965
[118] eval-auc:0.677534 train-auc:0.913252
[119] eval-auc:0.678448 train-auc:0.915158
[120] eval-auc:0.677157 train-auc:0.91477
[121] eval-auc:0.680088 train-auc:0.914523
[122] eval-auc:0.679776 train-auc:0.913549
Score 0.6797759139470574
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8, 'eta': 0.15000000000000002, 'eval_metric': 'auc', 'gamma': 0.5, 'max_depth': 7, 'min_child_weight': 6.0, 'n_estimators': 997.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.7000000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.614597 train-auc:0.727926
[1] eval-auc:0.624469 train-auc:0.775004
[2] eval-auc:0.625199 train-auc:0.806004
[3] eval-auc:0.639423 train-auc:0.81952
[4] eval-auc:0.668151 train-auc:0.846061
[5] eval-auc:0.671598 train-auc:0.861424
[6] eval-auc:0.677473 train-auc:0.869094
[7] eval-auc:0.674715 train-auc:0.876394
[8] eval-auc:0.676961 train-auc:0.887714
[9] eval-auc:0.675007 train-auc:0.893515
[10] eval-auc:0.683245 train-auc:0.904956
[11] eval-auc:0.682314 train-auc:0.909676
[12] eval-auc:0.68217 train-auc:0.91645
[13] eval-auc:0.684994 train-auc:0.920528
[14] eval-auc:0.686136 train-auc:0.925126
[15] eval-auc:0.688272 train-auc:0.928767
[16] eval-auc:0.68447 train-auc:0.932034
[17] eval-auc:0.6894 train-auc:0.936087
[18] eval-auc:0.687387 train-auc:0.939674
[19] eval-auc:0.687135 train-auc:0.943097
[20] eval-auc:0.687971 train-auc:0.946774
[21] eval-auc:0.687441 train-auc:0.951496
[22] eval-auc:0.689345 train-auc:0.954221
[23] eval-auc:0.687295 train-auc:0.955738
[24] eval-auc:0.685871 train-auc:0.959238
[25] eval-auc:0.684959 train-auc:0.96171
[26] eval-auc:0.683452 train-auc:0.962122
[27] eval-auc:0.68557 train-auc:0.963918
[28] eval-auc:0.686327 train-auc:0.965387
[29] eval-auc:0.684722 train-auc:0.966672
[30] eval-auc:0.684743 train-auc:0.967806
[31] eval-auc:0.685789 train-auc:0.968399
[32] eval-auc:0.683936 train-auc:0.970103
[33] eval-auc:0.684471 train-auc:0.973296
[34] eval-auc:0.683046 train-auc:0.974725
[35] eval-auc:0.681347 train-auc:0.975977
[36] eval-auc:0.682811 train-auc:0.97656
[37] eval-auc:0.682773 train-auc:0.977616
[38] eval-auc:0.683385 train-auc:0.97897
[39] eval-auc:0.680772 train-auc:0.981018
[40] eval-auc:0.682337 train-auc:0.982131
[41] eval-auc:0.682531 train-auc:0.983333
[42] eval-auc:0.681998 train-auc:0.984054
[43] eval-auc:0.681763 train-auc:0.984679
[44] eval-auc:0.680569 train-auc:0.985467
[45] eval-auc:0.682741 train-auc:0.985611
[46] eval-auc:0.682687 train-auc:0.986413
[47] eval-auc:0.682231 train-auc:0.986638
[48] eval-auc:0.681937 train-auc:0.987262
[49] eval-auc:0.681372 train-auc:0.988455
[50] eval-auc:0.682094 train-auc:0.98886
[51] eval-auc:0.682783 train-auc:0.989129
[52] eval-auc:0.685451 train-auc:0.989662
[53] eval-auc:0.685835 train-auc:0.990274
[54] eval-auc:0.684705 train-auc:0.99074
[55] eval-auc:0.686377 train-auc:0.991201
[56] eval-auc:0.686473 train-auc:0.991661
[57] eval-auc:0.685606 train-auc:0.992077
[58] eval-auc:0.685489 train-auc:0.992006
[59] eval-auc:0.685532 train-auc:0.992729
[60] eval-auc:0.684993 train-auc:0.993003
[61] eval-auc:0.685329 train-auc:0.99314
[62] eval-auc:0.685715 train-auc:0.993699
[63] eval-auc:0.68846 train-auc:0.993918
[64] eval-auc:0.688851 train-auc:0.994189
[65] eval-auc:0.688396 train-auc:0.994175
[66] eval-auc:0.688191 train-auc:0.994226
[67] eval-auc:0.687659 train-auc:0.994511
[68] eval-auc:0.688545 train-auc:0.994741
[69] eval-auc:0.688236 train-auc:0.995054
[70] eval-auc:0.688446 train-auc:0.995166
[71] eval-auc:0.689374 train-auc:0.995253
[72] eval-auc:0.690141 train-auc:0.995405
[73] eval-auc:0.689704 train-auc:0.995777
[74] eval-auc:0.689907 train-auc:0.996087
[75] eval-auc:0.690843 train-auc:0.996204
[76] eval-auc:0.691026 train-auc:0.996344
[77] eval-auc:0.690138 train-auc:0.996397
[78] eval-auc:0.688562 train-auc:0.996327
[79] eval-auc:0.688873 train-auc:0.996306
[80] eval-auc:0.6891 train-auc:0.996501
[81] eval-auc:0.687441 train-auc:0.996694
[82] eval-auc:0.687205 train-auc:0.996706
[83] eval-auc:0.688189 train-auc:0.996796
[84] eval-auc:0.688833 train-auc:0.996895
[85] eval-auc:0.691461 train-auc:0.99711
[86] eval-auc:0.691656 train-auc:0.997193
[87] eval-auc:0.691548 train-auc:0.997256
[88] eval-auc:0.690991 train-auc:0.997506
[89] eval-auc:0.691046 train-auc:0.997603
[90] eval-auc:0.69112 train-auc:0.997821
[91] eval-auc:0.690843 train-auc:0.997864
[92] eval-auc:0.689357 train-auc:0.997947
[93] eval-auc:0.689151 train-auc:0.997948
[94] eval-auc:0.689537 train-auc:0.998025
[95] eval-auc:0.689442 train-auc:0.998095
[96] eval-auc:0.689579 train-auc:0.998237
[97] eval-auc:0.690022 train-auc:0.998327
[98] eval-auc:0.689684 train-auc:0.998482
[99] eval-auc:0.690032 train-auc:0.998526
[100] eval-auc:0.689931 train-auc:0.998543
[101] eval-auc:0.68924 train-auc:0.998651
[102] eval-auc:0.689561 train-auc:0.998714
[103] eval-auc:0.689323 train-auc:0.998716
[104] eval-auc:0.690134 train-auc:0.998773
[105] eval-auc:0.688777 train-auc:0.9988
[106] eval-auc:0.68929 train-auc:0.998888
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[967] eval-auc:0.683645 train-auc:1
[968] eval-auc:0.683505 train-auc:1
[969] eval-auc:0.683461 train-auc:1
[970] eval-auc:0.683478 train-auc:1
[971] eval-auc:0.683453 train-auc:1
[972] eval-auc:0.683453 train-auc:1
[973] eval-auc:0.683453 train-auc:1
[974] eval-auc:0.683306 train-auc:1
[975] eval-auc:0.683522 train-auc:1
[976] eval-auc:0.683685 train-auc:1
[977] eval-auc:0.683721 train-auc:1
[978] eval-auc:0.683721 train-auc:1
[979] eval-auc:0.683627 train-auc:1
[980] eval-auc:0.683776 train-auc:1
[981] eval-auc:0.68367 train-auc:1
[982] eval-auc:0.683773 train-auc:1
[983] eval-auc:0.683752 train-auc:1
[984] eval-auc:0.683921 train-auc:1
[985] eval-auc:0.683957 train-auc:1
[986] eval-auc:0.683788 train-auc:1
[987] eval-auc:0.683831 train-auc:1
[988] eval-auc:0.683612 train-auc:1
[989] eval-auc:0.683612 train-auc:1
[990] eval-auc:0.68336 train-auc:1
[991] eval-auc:0.68328 train-auc:1
[992] eval-auc:0.68328 train-auc:1
[993] eval-auc:0.683459 train-auc:1
[994] eval-auc:0.683482 train-auc:1
[995] eval-auc:0.683409 train-auc:1
[996] eval-auc:0.683286 train-auc:1
Score 0.6832858239228154
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 1.0, 'eta': 0.07500000000000001, 'eval_metric': 'auc', 'gamma': 0.6000000000000001, 'max_depth': 11, 'min_child_weight': 5.0, 'n_estimators': 278.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.75, 'tree_method': 'exact'}
[0] eval-auc:0.688375 train-auc:0.856306
[1] eval-auc:0.69282 train-auc:0.899573
[2] eval-auc:0.70233 train-auc:0.92801
[3] eval-auc:0.698696 train-auc:0.940899
[4] eval-auc:0.699011 train-auc:0.950113
[5] eval-auc:0.696937 train-auc:0.956625
[6] eval-auc:0.700617 train-auc:0.961752
[7] eval-auc:0.698857 train-auc:0.966618
[8] eval-auc:0.69811 train-auc:0.973052
[9] eval-auc:0.697198 train-auc:0.976358
[10] eval-auc:0.698684 train-auc:0.977845
[11] eval-auc:0.699517 train-auc:0.980932
[12] eval-auc:0.702265 train-auc:0.983517
[13] eval-auc:0.700353 train-auc:0.984031
[14] eval-auc:0.699419 train-auc:0.986229
[15] eval-auc:0.703321 train-auc:0.986796
[16] eval-auc:0.701917 train-auc:0.988126
[17] eval-auc:0.702118 train-auc:0.989494
[18] eval-auc:0.703006 train-auc:0.99048
[19] eval-auc:0.699059 train-auc:0.992063
[20] eval-auc:0.700092 train-auc:0.992964
[21] eval-auc:0.701023 train-auc:0.993293
[22] eval-auc:0.699645 train-auc:0.99369
[23] eval-auc:0.697954 train-auc:0.994163
[24] eval-auc:0.699689 train-auc:0.994802
[25] eval-auc:0.699462 train-auc:0.99506
[26] eval-auc:0.699692 train-auc:0.995468
[27] eval-auc:0.700063 train-auc:0.996002
[28] eval-auc:0.699859 train-auc:0.996423
[29] eval-auc:0.696011 train-auc:0.996702
[30] eval-auc:0.698987 train-auc:0.996979
[31] eval-auc:0.699122 train-auc:0.997404
[32] eval-auc:0.698079 train-auc:0.997626
[33] eval-auc:0.697306 train-auc:0.997871
[34] eval-auc:0.695542 train-auc:0.998041
[35] eval-auc:0.695605 train-auc:0.998265
[36] eval-auc:0.696197 train-auc:0.998279
[37] eval-auc:0.695574 train-auc:0.998437
[38] eval-auc:0.695523 train-auc:0.99849
[39] eval-auc:0.695757 train-auc:0.99853
[40] eval-auc:0.69721 train-auc:0.998656
[41] eval-auc:0.697887 train-auc:0.998797
[42] eval-auc:0.698591 train-auc:0.998854
[43] eval-auc:0.699421 train-auc:0.998958
[44] eval-auc:0.698291 train-auc:0.999042
[45] eval-auc:0.698219 train-auc:0.999108
[46] eval-auc:0.697708 train-auc:0.999143
[47] eval-auc:0.697549 train-auc:0.999162
[48] eval-auc:0.697195 train-auc:0.999209
[49] eval-auc:0.698163 train-auc:0.999337
[50] eval-auc:0.699768 train-auc:0.999343
[51] eval-auc:0.699951 train-auc:0.999365
[52] eval-auc:0.700628 train-auc:0.999431
[53] eval-auc:0.70105 train-auc:0.999499
[54] eval-auc:0.701393 train-auc:0.999543
[55] eval-auc:0.700962 train-auc:0.999584
[56] eval-auc:0.701405 train-auc:0.999631
[57] eval-auc:0.702229 train-auc:0.999642
[58] eval-auc:0.702302 train-auc:0.999678
[59] eval-auc:0.702009 train-auc:0.999685
[60] eval-auc:0.702542 train-auc:0.999689
[61] eval-auc:0.703004 train-auc:0.999709
[62] eval-auc:0.702373 train-auc:0.999732
[63] eval-auc:0.703683 train-auc:0.999723
[64] eval-auc:0.703025 train-auc:0.99972
[65] eval-auc:0.703546 train-auc:0.999716
[66] eval-auc:0.70329 train-auc:0.99974
[67] eval-auc:0.703397 train-auc:0.99975
[68] eval-auc:0.703882 train-auc:0.999769
[69] eval-auc:0.703284 train-auc:0.999786
[70] eval-auc:0.703995 train-auc:0.999792
[71] eval-auc:0.704357 train-auc:0.999812
[72] eval-auc:0.704455 train-auc:0.999827
[73] eval-auc:0.704109 train-auc:0.999832
[74] eval-auc:0.704496 train-auc:0.999878
[75] eval-auc:0.704662 train-auc:0.999884
[76] eval-auc:0.703698 train-auc:0.999906
[77] eval-auc:0.702885 train-auc:0.999912
[78] eval-auc:0.702387 train-auc:0.999917
[79] eval-auc:0.70222 train-auc:0.999916
[80] eval-auc:0.702926 train-auc:0.999915
[81] eval-auc:0.702628 train-auc:0.999912
[82] eval-auc:0.702772 train-auc:0.999919
[83] eval-auc:0.703549 train-auc:0.999918
[84] eval-auc:0.70405 train-auc:0.999918
[85] eval-auc:0.703305 train-auc:0.999919
[86] eval-auc:0.70288 train-auc:0.999925
[87] eval-auc:0.703712 train-auc:0.999929
[88] eval-auc:0.703674 train-auc:0.999925
[89] eval-auc:0.703751 train-auc:0.999932
[90] eval-auc:0.703541 train-auc:0.999947
[91] eval-auc:0.703065 train-auc:0.999949
[92] eval-auc:0.703158 train-auc:0.999959
[93] eval-auc:0.703185 train-auc:0.999962
[94] eval-auc:0.702911 train-auc:0.999961
[95] eval-auc:0.702608 train-auc:0.999967
[96] eval-auc:0.70194 train-auc:0.999967
[97] eval-auc:0.701722 train-auc:0.999971
[98] eval-auc:0.701728 train-auc:0.999972
[99] eval-auc:0.701639 train-auc:0.999972
[100] eval-auc:0.701282 train-auc:0.999969
[101] eval-auc:0.701208 train-auc:0.999968
[102] eval-auc:0.701412 train-auc:0.999967
[103] eval-auc:0.701441 train-auc:0.99997
[104] eval-auc:0.701387 train-auc:0.999973
[105] eval-auc:0.701029 train-auc:0.999972
[106] eval-auc:0.700509 train-auc:0.999973
[107] eval-auc:0.701236 train-auc:0.999975
[108] eval-auc:0.701173 train-auc:0.999979
[109] eval-auc:0.701875 train-auc:0.999977
[110] eval-auc:0.701688 train-auc:0.999977
[111] eval-auc:0.701709 train-auc:0.999973
[112] eval-auc:0.701312 train-auc:0.999974
[113] eval-auc:0.700933 train-auc:0.999974
[114] eval-auc:0.701283 train-auc:0.999975
[115] eval-auc:0.701247 train-auc:0.99998
[116] eval-auc:0.701265 train-auc:0.999985
[117] eval-auc:0.701585 train-auc:0.999985
[118] eval-auc:0.701758 train-auc:0.999986
[119] eval-auc:0.7014 train-auc:0.999985
[120] eval-auc:0.701186 train-auc:0.999986
[121] eval-auc:0.700773 train-auc:0.999987
[122] eval-auc:0.700398 train-auc:0.999987
[123] eval-auc:0.700353 train-auc:0.999989
[124] eval-auc:0.700462 train-auc:0.999993
[125] eval-auc:0.700336 train-auc:0.999993
[126] eval-auc:0.699922 train-auc:0.999994
[127] eval-auc:0.699826 train-auc:0.999994
[128] eval-auc:0.699709 train-auc:0.999994
[129] eval-auc:0.699258 train-auc:0.999994
[130] eval-auc:0.699381 train-auc:0.999994
[131] eval-auc:0.699092 train-auc:0.999996
[132] eval-auc:0.698559 train-auc:0.999998
[133] eval-auc:0.698053 train-auc:0.999999
[134] eval-auc:0.699144 train-auc:0.999999
[135] eval-auc:0.698949 train-auc:0.999999
[136] eval-auc:0.698885 train-auc:1
[137] eval-auc:0.698595 train-auc:1
[138] eval-auc:0.698503 train-auc:1
[139] eval-auc:0.698917 train-auc:0.999999
[140] eval-auc:0.698745 train-auc:1
[141] eval-auc:0.698751 train-auc:1
[142] eval-auc:0.699524 train-auc:1
[143] eval-auc:0.699049 train-auc:0.999999
[144] eval-auc:0.698924 train-auc:1
[145] eval-auc:0.698643 train-auc:0.999999
[146] eval-auc:0.698924 train-auc:1
[147] eval-auc:0.698959 train-auc:0.999999
[148] eval-auc:0.699267 train-auc:1
[149] eval-auc:0.698474 train-auc:1
[150] eval-auc:0.698836 train-auc:1
[151] eval-auc:0.698938 train-auc:1
[152] eval-auc:0.699291 train-auc:1
[153] eval-auc:0.698882 train-auc:1
[154] eval-auc:0.698559 train-auc:1
[155] eval-auc:0.698254 train-auc:1
[156] eval-auc:0.69878 train-auc:1
[157] eval-auc:0.698664 train-auc:1
[158] eval-auc:0.699095 train-auc:1
[159] eval-auc:0.698541 train-auc:1
[160] eval-auc:0.698647 train-auc:1
[161] eval-auc:0.69848 train-auc:1
[162] eval-auc:0.698842 train-auc:1
[163] eval-auc:0.699302 train-auc:1
[164] eval-auc:0.699285 train-auc:1
[165] eval-auc:0.699529 train-auc:1
[166] eval-auc:0.699963 train-auc:1
[167] eval-auc:0.699579 train-auc:1
[168] eval-auc:0.699579 train-auc:1
[169] eval-auc:0.699398 train-auc:1
[170] eval-auc:0.699313 train-auc:1
[171] eval-auc:0.699721 train-auc:1
[172] eval-auc:0.69994 train-auc:1
[173] eval-auc:0.699867 train-auc:1
[174] eval-auc:0.700231 train-auc:1
[175] eval-auc:0.7001 train-auc:1
[176] eval-auc:0.700047 train-auc:1
[177] eval-auc:0.700395 train-auc:1
[178] eval-auc:0.700506 train-auc:1
[179] eval-auc:0.700041 train-auc:1
[180] eval-auc:0.700267 train-auc:1
[181] eval-auc:0.700051 train-auc:1
[182] eval-auc:0.699978 train-auc:1
[183] eval-auc:0.700001 train-auc:1
[184] eval-auc:0.700229 train-auc:1
[185] eval-auc:0.700558 train-auc:1
[186] eval-auc:0.699955 train-auc:1
[187] eval-auc:0.700001 train-auc:1
[188] eval-auc:0.699836 train-auc:1
[189] eval-auc:0.700004 train-auc:1
[190] eval-auc:0.700139 train-auc:1
[191] eval-auc:0.699897 train-auc:1
[192] eval-auc:0.699622 train-auc:1
[193] eval-auc:0.699791 train-auc:1
[194] eval-auc:0.700149 train-auc:1
[195] eval-auc:0.700491 train-auc:1
[196] eval-auc:0.700672 train-auc:1
[197] eval-auc:0.700838 train-auc:1
[198] eval-auc:0.700972 train-auc:1
[199] eval-auc:0.700887 train-auc:1
[200] eval-auc:0.700872 train-auc:1
[201] eval-auc:0.700565 train-auc:1
[202] eval-auc:0.700817 train-auc:1
[203] eval-auc:0.700531 train-auc:1
[204] eval-auc:0.701017 train-auc:1
[205] eval-auc:0.700959 train-auc:1
[206] eval-auc:0.701081 train-auc:1
[207] eval-auc:0.701108 train-auc:1
[208] eval-auc:0.700825 train-auc:1
[209] eval-auc:0.700711 train-auc:1
[210] eval-auc:0.700942 train-auc:1
[211] eval-auc:0.70144 train-auc:1
[212] eval-auc:0.701158 train-auc:1
[213] eval-auc:0.700953 train-auc:1
[214] eval-auc:0.701091 train-auc:1
[215] eval-auc:0.701362 train-auc:1
[216] eval-auc:0.701329 train-auc:1
[217] eval-auc:0.70123 train-auc:1
[218] eval-auc:0.701029 train-auc:1
[219] eval-auc:0.700922 train-auc:1
[220] eval-auc:0.701096 train-auc:1
[221] eval-auc:0.701097 train-auc:1
[222] eval-auc:0.700663 train-auc:1
[223] eval-auc:0.700572 train-auc:1
[224] eval-auc:0.700491 train-auc:1
[225] eval-auc:0.700633 train-auc:1
[226] eval-auc:0.700506 train-auc:1
[227] eval-auc:0.700432 train-auc:1
[228] eval-auc:0.700598 train-auc:1
[229] eval-auc:0.700749 train-auc:1
[230] eval-auc:0.700817 train-auc:1
[231] eval-auc:0.701116 train-auc:1
[232] eval-auc:0.701221 train-auc:1
[233] eval-auc:0.70098 train-auc:1
[234] eval-auc:0.701039 train-auc:1
[235] eval-auc:0.701131 train-auc:1
[236] eval-auc:0.700948 train-auc:1
[237] eval-auc:0.700828 train-auc:1
[238] eval-auc:0.700656 train-auc:1
[239] eval-auc:0.700647 train-auc:1
[240] eval-auc:0.700442 train-auc:1
[241] eval-auc:0.700345 train-auc:1
[242] eval-auc:0.700997 train-auc:1
[243] eval-auc:0.701516 train-auc:1
[244] eval-auc:0.701578 train-auc:1
[245] eval-auc:0.701495 train-auc:1
[246] eval-auc:0.701455 train-auc:1
[247] eval-auc:0.701352 train-auc:1
[248] eval-auc:0.701406 train-auc:1
[249] eval-auc:0.701458 train-auc:1
[250] eval-auc:0.701339 train-auc:1
[251] eval-auc:0.70139 train-auc:1
[252] eval-auc:0.701223 train-auc:1
[253] eval-auc:0.701387 train-auc:1
[254] eval-auc:0.701213 train-auc:1
[255] eval-auc:0.701722 train-auc:1
[256] eval-auc:0.701843 train-auc:1
[257] eval-auc:0.701848 train-auc:1
[258] eval-auc:0.701515 train-auc:1
[259] eval-auc:0.701708 train-auc:1
[260] eval-auc:0.7013 train-auc:1
[261] eval-auc:0.701187 train-auc:1
[262] eval-auc:0.701297 train-auc:1
[263] eval-auc:0.701288 train-auc:1
[264] eval-auc:0.701114 train-auc:1
[265] eval-auc:0.701012 train-auc:1
[266] eval-auc:0.701009 train-auc:1
[267] eval-auc:0.700488 train-auc:1
[268] eval-auc:0.70038 train-auc:1
[269] eval-auc:0.700164 train-auc:1
[270] eval-auc:0.70021 train-auc:1
[271] eval-auc:0.700245 train-auc:1
[272] eval-auc:0.699841 train-auc:1
[273] eval-auc:0.699984 train-auc:1
[274] eval-auc:0.70003 train-auc:1
[275] eval-auc:0.699825 train-auc:1
[276] eval-auc:0.700111 train-auc:1
[277] eval-auc:0.700167 train-auc:1
Score 0.700166892031819
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.7000000000000001, 'eta': 0.17500000000000002, 'eval_metric': 'auc', 'gamma': 0.55, 'max_depth': 12, 'min_child_weight': 3.0, 'n_estimators': 460.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.8500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.630544 train-auc:0.84357
[1] eval-auc:0.628726 train-auc:0.921412
[2] eval-auc:0.624191 train-auc:0.956031
[3] eval-auc:0.637917 train-auc:0.969179
[4] eval-auc:0.656308 train-auc:0.981375
[5] eval-auc:0.655009 train-auc:0.988888
[6] eval-auc:0.66116 train-auc:0.991282
[7] eval-auc:0.657136 train-auc:0.99278
[8] eval-auc:0.663964 train-auc:0.995175
[9] eval-auc:0.669588 train-auc:0.996055
[10] eval-auc:0.665002 train-auc:0.997945
[11] eval-auc:0.66057 train-auc:0.998369
[12] eval-auc:0.662904 train-auc:0.998774
[13] eval-auc:0.666453 train-auc:0.998884
[14] eval-auc:0.665592 train-auc:0.99926
[15] eval-auc:0.662004 train-auc:0.999502
[16] eval-auc:0.658011 train-auc:0.999647
[17] eval-auc:0.669511 train-auc:0.999826
[18] eval-auc:0.667878 train-auc:0.999834
[19] eval-auc:0.675258 train-auc:0.99989
[20] eval-auc:0.675171 train-auc:0.999898
[21] eval-auc:0.67555 train-auc:0.999929
[22] eval-auc:0.673295 train-auc:0.999945
[23] eval-auc:0.678678 train-auc:0.999953
[24] eval-auc:0.682623 train-auc:0.999953
[25] eval-auc:0.682689 train-auc:0.99997
[26] eval-auc:0.68125 train-auc:0.999981
[27] eval-auc:0.683105 train-auc:0.999991
[28] eval-auc:0.683257 train-auc:0.999994
[29] eval-auc:0.680964 train-auc:0.999997
[30] eval-auc:0.679467 train-auc:0.999998
[31] eval-auc:0.680831 train-auc:0.999998
[32] eval-auc:0.679627 train-auc:0.999998
[33] eval-auc:0.679377 train-auc:0.999998
[34] eval-auc:0.6791 train-auc:0.999998
[35] eval-auc:0.680126 train-auc:1
[36] eval-auc:0.679086 train-auc:0.999999
[37] eval-auc:0.679051 train-auc:1
[38] eval-auc:0.679018 train-auc:0.999999
[39] eval-auc:0.677373 train-auc:1
[40] eval-auc:0.677505 train-auc:1
[41] eval-auc:0.676338 train-auc:1
[42] eval-auc:0.67613 train-auc:1
[43] eval-auc:0.675005 train-auc:1
[44] eval-auc:0.679948 train-auc:1
[45] eval-auc:0.680292 train-auc:1
[46] eval-auc:0.683913 train-auc:1
[47] eval-auc:0.684501 train-auc:1
[48] eval-auc:0.683773 train-auc:1
[49] eval-auc:0.683242 train-auc:1
[50] eval-auc:0.682381 train-auc:1
[51] eval-auc:0.682159 train-auc:1
[52] eval-auc:0.682817 train-auc:1
[53] eval-auc:0.682374 train-auc:1
[54] eval-auc:0.681955 train-auc:1
[55] eval-auc:0.682328 train-auc:1
[56] eval-auc:0.683204 train-auc:1
[57] eval-auc:0.683533 train-auc:1
[58] eval-auc:0.684102 train-auc:1
[59] eval-auc:0.683884 train-auc:1
[60] eval-auc:0.683817 train-auc:1
[61] eval-auc:0.682978 train-auc:1
[62] eval-auc:0.682462 train-auc:1
[63] eval-auc:0.686278 train-auc:1
[64] eval-auc:0.685654 train-auc:1
[65] eval-auc:0.686165 train-auc:1
[66] eval-auc:0.686598 train-auc:1
[67] eval-auc:0.686691 train-auc:1
[68] eval-auc:0.686991 train-auc:1
[69] eval-auc:0.68703 train-auc:1
[70] eval-auc:0.686605 train-auc:1
[71] eval-auc:0.686223 train-auc:1
[72] eval-auc:0.686561 train-auc:1
[73] eval-auc:0.68643 train-auc:1
[74] eval-auc:0.686478 train-auc:1
[75] eval-auc:0.686671 train-auc:1
[76] eval-auc:0.686264 train-auc:1
[77] eval-auc:0.68557 train-auc:1
[78] eval-auc:0.686321 train-auc:1
[79] eval-auc:0.686086 train-auc:1
[80] eval-auc:0.688675 train-auc:1
[81] eval-auc:0.689068 train-auc:1
[82] eval-auc:0.689433 train-auc:1
[83] eval-auc:0.688768 train-auc:1
[84] eval-auc:0.688503 train-auc:1
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[230] eval-auc:0.689087 train-auc:1
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[232] eval-auc:0.688818 train-auc:1
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[235] eval-auc:0.688905 train-auc:1
[236] eval-auc:0.68881 train-auc:1
[237] eval-auc:0.68881 train-auc:1
[238] eval-auc:0.688927 train-auc:1
[239] eval-auc:0.68888 train-auc:1
[240] eval-auc:0.688472 train-auc:1
[241] eval-auc:0.688472 train-auc:1
[242] eval-auc:0.688318 train-auc:1
[243] eval-auc:0.688466 train-auc:1
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[246] eval-auc:0.688641 train-auc:1
[247] eval-auc:0.688518 train-auc:1
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[250] eval-auc:0.688497 train-auc:1
[251] eval-auc:0.688376 train-auc:1
[252] eval-auc:0.688653 train-auc:1
[253] eval-auc:0.688521 train-auc:1
[254] eval-auc:0.688218 train-auc:1
[255] eval-auc:0.688093 train-auc:1
[256] eval-auc:0.688216 train-auc:1
[257] eval-auc:0.688216 train-auc:1
[258] eval-auc:0.688043 train-auc:1
[259] eval-auc:0.688136 train-auc:1
[260] eval-auc:0.688116 train-auc:1
[261] eval-auc:0.688116 train-auc:1
[262] eval-auc:0.6886 train-auc:1
[263] eval-auc:0.688912 train-auc:1
[264] eval-auc:0.688693 train-auc:1
[265] eval-auc:0.688459 train-auc:1
[266] eval-auc:0.68842 train-auc:1
[267] eval-auc:0.68832 train-auc:1
[268] eval-auc:0.688238 train-auc:1
[269] eval-auc:0.688227 train-auc:1
[270] eval-auc:0.687979 train-auc:1
[271] eval-auc:0.687979 train-auc:1
[272] eval-auc:0.687979 train-auc:1
[273] eval-auc:0.688248 train-auc:1
[274] eval-auc:0.688277 train-auc:1
[275] eval-auc:0.688385 train-auc:1
[276] eval-auc:0.688433 train-auc:1
[277] eval-auc:0.688433 train-auc:1
[278] eval-auc:0.68848 train-auc:1
[279] eval-auc:0.688472 train-auc:1
[280] eval-auc:0.688404 train-auc:1
[281] eval-auc:0.688353 train-auc:1
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[283] eval-auc:0.688332 train-auc:1
[284] eval-auc:0.688407 train-auc:1
[285] eval-auc:0.68843 train-auc:1
[286] eval-auc:0.68843 train-auc:1
[287] eval-auc:0.688472 train-auc:1
[288] eval-auc:0.68846 train-auc:1
[289] eval-auc:0.688369 train-auc:1
[290] eval-auc:0.688369 train-auc:1
[291] eval-auc:0.688369 train-auc:1
[292] eval-auc:0.688369 train-auc:1
[293] eval-auc:0.688526 train-auc:1
[294] eval-auc:0.688526 train-auc:1
[295] eval-auc:0.688454 train-auc:1
[296] eval-auc:0.688279 train-auc:1
[297] eval-auc:0.688229 train-auc:1
[298] eval-auc:0.688067 train-auc:1
[299] eval-auc:0.688107 train-auc:1
[300] eval-auc:0.688247 train-auc:1
[301] eval-auc:0.687962 train-auc:1
[302] eval-auc:0.687962 train-auc:1
[303] eval-auc:0.68807 train-auc:1
[304] eval-auc:0.68902 train-auc:1
[305] eval-auc:0.68899 train-auc:1
[306] eval-auc:0.689121 train-auc:1
[307] eval-auc:0.68878 train-auc:1
[308] eval-auc:0.688737 train-auc:1
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[310] eval-auc:0.688842 train-auc:1
[311] eval-auc:0.688842 train-auc:1
[312] eval-auc:0.688917 train-auc:1
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[314] eval-auc:0.68874 train-auc:1
[315] eval-auc:0.688833 train-auc:1
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[321] eval-auc:0.688449 train-auc:1
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[324] eval-auc:0.688449 train-auc:1
[325] eval-auc:0.688449 train-auc:1
[326] eval-auc:0.688449 train-auc:1
[327] eval-auc:0.688332 train-auc:1
[328] eval-auc:0.688149 train-auc:1
[329] eval-auc:0.688149 train-auc:1
[330] eval-auc:0.688028 train-auc:1
[331] eval-auc:0.687965 train-auc:1
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[335] eval-auc:0.688104 train-auc:1
[336] eval-auc:0.687953 train-auc:1
[337] eval-auc:0.687589 train-auc:1
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[339] eval-auc:0.687423 train-auc:1
[340] eval-auc:0.687295 train-auc:1
[341] eval-auc:0.687295 train-auc:1
[342] eval-auc:0.68714 train-auc:1
[343] eval-auc:0.687367 train-auc:1
[344] eval-auc:0.687412 train-auc:1
[345] eval-auc:0.687412 train-auc:1
[346] eval-auc:0.687412 train-auc:1
[347] eval-auc:0.688017 train-auc:1
[348] eval-auc:0.688017 train-auc:1
[349] eval-auc:0.688017 train-auc:1
[350] eval-auc:0.688017 train-auc:1
[351] eval-auc:0.688069 train-auc:1
[352] eval-auc:0.688195 train-auc:1
[353] eval-auc:0.688079 train-auc:1
[354] eval-auc:0.688168 train-auc:1
[355] eval-auc:0.688235 train-auc:1
[356] eval-auc:0.688322 train-auc:1
[357] eval-auc:0.688098 train-auc:1
[358] eval-auc:0.687903 train-auc:1
[359] eval-auc:0.687903 train-auc:1
[360] eval-auc:0.687738 train-auc:1
[361] eval-auc:0.687778 train-auc:1
[362] eval-auc:0.687956 train-auc:1
[363] eval-auc:0.687956 train-auc:1
[364] eval-auc:0.687956 train-auc:1
[365] eval-auc:0.687956 train-auc:1
[366] eval-auc:0.688002 train-auc:1
[367] eval-auc:0.688092 train-auc:1
[368] eval-auc:0.688092 train-auc:1
[369] eval-auc:0.687916 train-auc:1
[370] eval-auc:0.687938 train-auc:1
[371] eval-auc:0.687991 train-auc:1
[372] eval-auc:0.687991 train-auc:1
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[374] eval-auc:0.688079 train-auc:1
[375] eval-auc:0.687945 train-auc:1
[376] eval-auc:0.688169 train-auc:1
[377] eval-auc:0.68807 train-auc:1
[378] eval-auc:0.688049 train-auc:1
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[380] eval-auc:0.688029 train-auc:1
[381] eval-auc:0.688029 train-auc:1
[382] eval-auc:0.688029 train-auc:1
[383] eval-auc:0.688367 train-auc:1
[384] eval-auc:0.688265 train-auc:1
[385] eval-auc:0.688063 train-auc:1
[386] eval-auc:0.687837 train-auc:1
[387] eval-auc:0.687837 train-auc:1
[388] eval-auc:0.687837 train-auc:1
[389] eval-auc:0.687837 train-auc:1
[390] eval-auc:0.687804 train-auc:1
[391] eval-auc:0.687754 train-auc:1
[392] eval-auc:0.687754 train-auc:1
[393] eval-auc:0.687754 train-auc:1
[394] eval-auc:0.687754 train-auc:1
[395] eval-auc:0.687182 train-auc:1
[396] eval-auc:0.687027 train-auc:1
[397] eval-auc:0.687052 train-auc:1
[398] eval-auc:0.68691 train-auc:1
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[400] eval-auc:0.68686 train-auc:1
[401] eval-auc:0.686694 train-auc:1
[402] eval-auc:0.68673 train-auc:1
[403] eval-auc:0.686685 train-auc:1
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[406] eval-auc:0.686817 train-auc:1
[407] eval-auc:0.687231 train-auc:1
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[409] eval-auc:0.687231 train-auc:1
[410] eval-auc:0.687231 train-auc:1
[411] eval-auc:0.687231 train-auc:1
[412] eval-auc:0.687084 train-auc:1
[413] eval-auc:0.687084 train-auc:1
[414] eval-auc:0.687084 train-auc:1
[415] eval-auc:0.687265 train-auc:1
[416] eval-auc:0.687265 train-auc:1
[417] eval-auc:0.686992 train-auc:1
[418] eval-auc:0.686992 train-auc:1
[419] eval-auc:0.687093 train-auc:1
[420] eval-auc:0.687093 train-auc:1
[421] eval-auc:0.687653 train-auc:1
[422] eval-auc:0.687484 train-auc:1
[423] eval-auc:0.687484 train-auc:1
[424] eval-auc:0.687473 train-auc:1
[425] eval-auc:0.687728 train-auc:1
[426] eval-auc:0.687714 train-auc:1
[427] eval-auc:0.687714 train-auc:1
[428] eval-auc:0.687714 train-auc:1
[429] eval-auc:0.687714 train-auc:1
[430] eval-auc:0.68763 train-auc:1
[431] eval-auc:0.68763 train-auc:1
[432] eval-auc:0.687607 train-auc:1
[433] eval-auc:0.687607 train-auc:1
[434] eval-auc:0.687607 train-auc:1
[435] eval-auc:0.687355 train-auc:1
[436] eval-auc:0.687355 train-auc:1
[437] eval-auc:0.68738 train-auc:1
[438] eval-auc:0.687417 train-auc:1
[439] eval-auc:0.687417 train-auc:1
[440] eval-auc:0.687154 train-auc:1
[441] eval-auc:0.68716 train-auc:1
[442] eval-auc:0.687132 train-auc:1
[443] eval-auc:0.687132 train-auc:1
[444] eval-auc:0.687132 train-auc:1
[445] eval-auc:0.687164 train-auc:1
[446] eval-auc:0.687151 train-auc:1
[447] eval-auc:0.687151 train-auc:1
[448] eval-auc:0.687151 train-auc:1
[449] eval-auc:0.687084 train-auc:1
[450] eval-auc:0.687084 train-auc:1
[451] eval-auc:0.687096 train-auc:1
[452] eval-auc:0.687246 train-auc:1
[453] eval-auc:0.687246 train-auc:1
[454] eval-auc:0.687105 train-auc:1
[455] eval-auc:0.687105 train-auc:1
[456] eval-auc:0.687129 train-auc:1
[457] eval-auc:0.687129 train-auc:1
[458] eval-auc:0.687129 train-auc:1
[459] eval-auc:0.686669 train-auc:1
Score 0.6866693466846959
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9500000000000001, 'eta': 0.25, 'eval_metric': 'auc', 'gamma': 0.7000000000000001, 'max_depth': 3, 'min_child_weight': 3.0, 'n_estimators': 827.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.6000000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.696362 train-auc:0.719773
[1] eval-auc:0.689224 train-auc:0.730325
[2] eval-auc:0.693548 train-auc:0.733647
[3] eval-auc:0.69595 train-auc:0.736636
[4] eval-auc:0.69424 train-auc:0.743478
[5] eval-auc:0.698264 train-auc:0.755001
[6] eval-auc:0.704938 train-auc:0.757755
[7] eval-auc:0.70379 train-auc:0.76129
[8] eval-auc:0.705011 train-auc:0.765668
[9] eval-auc:0.705812 train-auc:0.766975
[10] eval-auc:0.706685 train-auc:0.768831
[11] eval-auc:0.708831 train-auc:0.771457
[12] eval-auc:0.715202 train-auc:0.77271
[13] eval-auc:0.716138 train-auc:0.774169
[14] eval-auc:0.710821 train-auc:0.779028
[15] eval-auc:0.712768 train-auc:0.779665
[16] eval-auc:0.710729 train-auc:0.782441
[17] eval-auc:0.709926 train-auc:0.78461
[18] eval-auc:0.71079 train-auc:0.787642
[19] eval-auc:0.711014 train-auc:0.793198
[20] eval-auc:0.710912 train-auc:0.796857
[21] eval-auc:0.710007 train-auc:0.798398
[22] eval-auc:0.710282 train-auc:0.800037
[23] eval-auc:0.70991 train-auc:0.800358
[24] eval-auc:0.706404 train-auc:0.801911
[25] eval-auc:0.704511 train-auc:0.804826
[26] eval-auc:0.702925 train-auc:0.807272
[27] eval-auc:0.699578 train-auc:0.809815
[28] eval-auc:0.698691 train-auc:0.811458
[29] eval-auc:0.698069 train-auc:0.814035
[30] eval-auc:0.700697 train-auc:0.817678
[31] eval-auc:0.698965 train-auc:0.819149
[32] eval-auc:0.699025 train-auc:0.821263
[33] eval-auc:0.698023 train-auc:0.82263
[34] eval-auc:0.697001 train-auc:0.824523
[35] eval-auc:0.694342 train-auc:0.824713
[36] eval-auc:0.692454 train-auc:0.824945
[37] eval-auc:0.692134 train-auc:0.825119
[38] eval-auc:0.692843 train-auc:0.826104
[39] eval-auc:0.692581 train-auc:0.829332
[40] eval-auc:0.694735 train-auc:0.832112
[41] eval-auc:0.695096 train-auc:0.832696
[42] eval-auc:0.696904 train-auc:0.834024
[43] eval-auc:0.697211 train-auc:0.835393
[44] eval-auc:0.700076 train-auc:0.836769
[45] eval-auc:0.701355 train-auc:0.838693
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[780] eval-auc:0.685061 train-auc:0.997284
[781] eval-auc:0.684694 train-auc:0.997241
[782] eval-auc:0.684522 train-auc:0.997224
[783] eval-auc:0.684758 train-auc:0.997288
[784] eval-auc:0.684815 train-auc:0.99729
[785] eval-auc:0.684738 train-auc:0.997318
[786] eval-auc:0.68458 train-auc:0.997359
[787] eval-auc:0.684687 train-auc:0.997414
[788] eval-auc:0.684775 train-auc:0.997466
[789] eval-auc:0.685552 train-auc:0.997487
[790] eval-auc:0.68544 train-auc:0.997504
[791] eval-auc:0.685774 train-auc:0.997537
[792] eval-auc:0.686083 train-auc:0.997501
[793] eval-auc:0.686453 train-auc:0.997495
[794] eval-auc:0.687208 train-auc:0.997414
[795] eval-auc:0.687227 train-auc:0.997426
[796] eval-auc:0.686534 train-auc:0.997497
[797] eval-auc:0.686139 train-auc:0.997605
[798] eval-auc:0.686101 train-auc:0.997653
[799] eval-auc:0.685109 train-auc:0.997646
[800] eval-auc:0.685267 train-auc:0.997739
[801] eval-auc:0.684595 train-auc:0.997798
[802] eval-auc:0.685153 train-auc:0.997845
[803] eval-auc:0.684761 train-auc:0.997877
[804] eval-auc:0.684889 train-auc:0.997857
[805] eval-auc:0.685073 train-auc:0.997816
[806] eval-auc:0.68525 train-auc:0.997814
[807] eval-auc:0.684978 train-auc:0.99777
[808] eval-auc:0.68494 train-auc:0.997793
[809] eval-auc:0.68522 train-auc:0.997784
[810] eval-auc:0.685229 train-auc:0.997802
[811] eval-auc:0.684807 train-auc:0.997786
[812] eval-auc:0.685728 train-auc:0.997753
[813] eval-auc:0.685864 train-auc:0.997785
[814] eval-auc:0.68578 train-auc:0.997823
[815] eval-auc:0.685925 train-auc:0.997817
[816] eval-auc:0.686362 train-auc:0.997819
[817] eval-auc:0.686171 train-auc:0.997808
[818] eval-auc:0.685806 train-auc:0.997823
[819] eval-auc:0.685809 train-auc:0.997846
[820] eval-auc:0.686278 train-auc:0.997834
[821] eval-auc:0.686677 train-auc:0.997818
[822] eval-auc:0.68701 train-auc:0.997831
[823] eval-auc:0.687144 train-auc:0.997883
[824] eval-auc:0.687021 train-auc:0.997899
[825] eval-auc:0.688297 train-auc:0.997921
[826] eval-auc:0.687642 train-auc:0.997996
Score 0.687642375957802
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9, 'eta': 0.125, 'eval_metric': 'auc', 'gamma': 0.75, 'max_depth': 4, 'min_child_weight': 4.0, 'n_estimators': 962.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.65, 'tree_method': 'exact'}
[0] eval-auc:0.687235 train-auc:0.734437
[1] eval-auc:0.673771 train-auc:0.736375
[2] eval-auc:0.682921 train-auc:0.749856
[3] eval-auc:0.676949 train-auc:0.759783
[4] eval-auc:0.680086 train-auc:0.76474
[5] eval-auc:0.678821 train-auc:0.774967
[6] eval-auc:0.678103 train-auc:0.77663
[7] eval-auc:0.681122 train-auc:0.781294
[8] eval-auc:0.685267 train-auc:0.786877
[9] eval-auc:0.685572 train-auc:0.790136
[10] eval-auc:0.688827 train-auc:0.795034
[11] eval-auc:0.687843 train-auc:0.797974
[12] eval-auc:0.691551 train-auc:0.802429
[13] eval-auc:0.693691 train-auc:0.801974
[14] eval-auc:0.692082 train-auc:0.80465
[15] eval-auc:0.694967 train-auc:0.808409
[16] eval-auc:0.695991 train-auc:0.811704
[17] eval-auc:0.694905 train-auc:0.814387
[18] eval-auc:0.693313 train-auc:0.816311
[19] eval-auc:0.692653 train-auc:0.818524
[20] eval-auc:0.693522 train-auc:0.820937
[21] eval-auc:0.694063 train-auc:0.825943
[22] eval-auc:0.692829 train-auc:0.829987
[23] eval-auc:0.694817 train-auc:0.831294
[24] eval-auc:0.69355 train-auc:0.833575
[25] eval-auc:0.695221 train-auc:0.833569
[26] eval-auc:0.692776 train-auc:0.834522
[27] eval-auc:0.691973 train-auc:0.837026
[28] eval-auc:0.694159 train-auc:0.839004
[29] eval-auc:0.695024 train-auc:0.841376
[30] eval-auc:0.696291 train-auc:0.84299
[31] eval-auc:0.696322 train-auc:0.84569
[32] eval-auc:0.698908 train-auc:0.847186
[33] eval-auc:0.698564 train-auc:0.848893
[34] eval-auc:0.699424 train-auc:0.849455
[35] eval-auc:0.698824 train-auc:0.851666
[36] eval-auc:0.698008 train-auc:0.855397
[37] eval-auc:0.697724 train-auc:0.855222
[38] eval-auc:0.698212 train-auc:0.856552
[39] eval-auc:0.697188 train-auc:0.85726
[40] eval-auc:0.696007 train-auc:0.858787
[41] eval-auc:0.696517 train-auc:0.86088
[42] eval-auc:0.696747 train-auc:0.86367
[43] eval-auc:0.697278 train-auc:0.86581
[44] eval-auc:0.696642 train-auc:0.865867
[45] eval-auc:0.697321 train-auc:0.866869
[46] eval-auc:0.696278 train-auc:0.868256
[47] eval-auc:0.696139 train-auc:0.870395
[48] eval-auc:0.696464 train-auc:0.871203
[49] eval-auc:0.695242 train-auc:0.874032
[50] eval-auc:0.694848 train-auc:0.875404
[51] eval-auc:0.694303 train-auc:0.87736
[52] eval-auc:0.692578 train-auc:0.878385
[53] eval-auc:0.693822 train-auc:0.880775
[54] eval-auc:0.695314 train-auc:0.882963
[55] eval-auc:0.69747 train-auc:0.8849
[56] eval-auc:0.698632 train-auc:0.885662
[57] eval-auc:0.699664 train-auc:0.886763
[58] eval-auc:0.700302 train-auc:0.888525
[59] eval-auc:0.698044 train-auc:0.892825
[60] eval-auc:0.697668 train-auc:0.8927
[61] eval-auc:0.698005 train-auc:0.893581
[62] eval-auc:0.697942 train-auc:0.894947
[63] eval-auc:0.69726 train-auc:0.895602
[64] eval-auc:0.69717 train-auc:0.896901
[65] eval-auc:0.696834 train-auc:0.896276
[66] eval-auc:0.697408 train-auc:0.896432
[67] eval-auc:0.698082 train-auc:0.897247
[68] eval-auc:0.698932 train-auc:0.897398
[69] eval-auc:0.699165 train-auc:0.899252
[70] eval-auc:0.700374 train-auc:0.900039
[71] eval-auc:0.701717 train-auc:0.90215
[72] eval-auc:0.701373 train-auc:0.902484
[73] eval-auc:0.701935 train-auc:0.903663
[74] eval-auc:0.701292 train-auc:0.906244
[75] eval-auc:0.701566 train-auc:0.90921
[76] eval-auc:0.701409 train-auc:0.910077
[77] eval-auc:0.700634 train-auc:0.910948
[78] eval-auc:0.700497 train-auc:0.912049
[79] eval-auc:0.698326 train-auc:0.913343
[80] eval-auc:0.698362 train-auc:0.914694
[81] eval-auc:0.697758 train-auc:0.915534
[82] eval-auc:0.697901 train-auc:0.916129
[83] eval-auc:0.697258 train-auc:0.916997
[84] eval-auc:0.698524 train-auc:0.917788
[85] eval-auc:0.699237 train-auc:0.919624
[86] eval-auc:0.698282 train-auc:0.919915
[87] eval-auc:0.697558 train-auc:0.920455
[88] eval-auc:0.696968 train-auc:0.921182
[89] eval-auc:0.697549 train-auc:0.922568
[90] eval-auc:0.696415 train-auc:0.923688
[91] eval-auc:0.696142 train-auc:0.923945
[92] eval-auc:0.695486 train-auc:0.925226
[93] eval-auc:0.695469 train-auc:0.925893
[94] eval-auc:0.694358 train-auc:0.927614
[95] eval-auc:0.69455 train-auc:0.928999
[96] eval-auc:0.695309 train-auc:0.930007
[97] eval-auc:0.6958 train-auc:0.93083
[98] eval-auc:0.696084 train-auc:0.932016
[99] eval-auc:0.695794 train-auc:0.932582
[100] eval-auc:0.695469 train-auc:0.932453
[101] eval-auc:0.694026 train-auc:0.932813
[102] eval-auc:0.694609 train-auc:0.933584
[103] eval-auc:0.695387 train-auc:0.93423
[104] eval-auc:0.69551 train-auc:0.934825
[105] eval-auc:0.697721 train-auc:0.934989
[106] eval-auc:0.696062 train-auc:0.935779
[107] eval-auc:0.695813 train-auc:0.936197
[108] eval-auc:0.695259 train-auc:0.936928
[109] eval-auc:0.695903 train-auc:0.937531
[110] eval-auc:0.695745 train-auc:0.937816
[111] eval-auc:0.69499 train-auc:0.938185
[112] eval-auc:0.69484 train-auc:0.9387
[113] eval-auc:0.695252 train-auc:0.938662
[114] eval-auc:0.695772 train-auc:0.939556
[115] eval-auc:0.69483 train-auc:0.94017
[116] eval-auc:0.695623 train-auc:0.941089
[117] eval-auc:0.695363 train-auc:0.941328
[118] eval-auc:0.695886 train-auc:0.942089
[119] eval-auc:0.695838 train-auc:0.942325
[120] eval-auc:0.696304 train-auc:0.942987
[121] eval-auc:0.696904 train-auc:0.943343
[122] eval-auc:0.695998 train-auc:0.943973
[123] eval-auc:0.695635 train-auc:0.944373
[124] eval-auc:0.695183 train-auc:0.944738
[125] eval-auc:0.695701 train-auc:0.945906
[126] eval-auc:0.695127 train-auc:0.94625
[127] eval-auc:0.69543 train-auc:0.947096
[128] eval-auc:0.695826 train-auc:0.947668
[129] eval-auc:0.695953 train-auc:0.948267
[130] eval-auc:0.695871 train-auc:0.948141
[131] eval-auc:0.695551 train-auc:0.948438
[132] eval-auc:0.695724 train-auc:0.948709
[133] eval-auc:0.695897 train-auc:0.949689
[134] eval-auc:0.694566 train-auc:0.950086
[135] eval-auc:0.694374 train-auc:0.951055
[136] eval-auc:0.694359 train-auc:0.951775
[137] eval-auc:0.693773 train-auc:0.95162
[138] eval-auc:0.694527 train-auc:0.952261
[139] eval-auc:0.694746 train-auc:0.952105
[140] eval-auc:0.694298 train-auc:0.95236
[141] eval-auc:0.694694 train-auc:0.952359
[142] eval-auc:0.695453 train-auc:0.952875
[143] eval-auc:0.695171 train-auc:0.952974
[144] eval-auc:0.694834 train-auc:0.953549
[145] eval-auc:0.69409 train-auc:0.954476
[146] eval-auc:0.694076 train-auc:0.955225
[147] eval-auc:0.694508 train-auc:0.955364
[148] eval-auc:0.693721 train-auc:0.956052
[149] eval-auc:0.69365 train-auc:0.955897
[150] eval-auc:0.693111 train-auc:0.956202
[151] eval-auc:0.692874 train-auc:0.957051
[152] eval-auc:0.69306 train-auc:0.957414
[153] eval-auc:0.692797 train-auc:0.957727
[154] eval-auc:0.693034 train-auc:0.958455
[155] eval-auc:0.692865 train-auc:0.959321
[156] eval-auc:0.693549 train-auc:0.959895
[157] eval-auc:0.694365 train-auc:0.960161
[158] eval-auc:0.693717 train-auc:0.960419
[159] eval-auc:0.693481 train-auc:0.960941
[160] eval-auc:0.693774 train-auc:0.961553
[161] eval-auc:0.693749 train-auc:0.962145
[162] eval-auc:0.69368 train-auc:0.96263
[163] eval-auc:0.69298 train-auc:0.962628
[164] eval-auc:0.693007 train-auc:0.962288
[165] eval-auc:0.693583 train-auc:0.962722
[166] eval-auc:0.693505 train-auc:0.962535
[167] eval-auc:0.694779 train-auc:0.962635
[168] eval-auc:0.695856 train-auc:0.962441
[169] eval-auc:0.696509 train-auc:0.962975
[170] eval-auc:0.696415 train-auc:0.962924
[171] eval-auc:0.695416 train-auc:0.963276
[172] eval-auc:0.695052 train-auc:0.963714
[173] eval-auc:0.695634 train-auc:0.964118
[174] eval-auc:0.694983 train-auc:0.964329
[175] eval-auc:0.694219 train-auc:0.964521
[176] eval-auc:0.69372 train-auc:0.964717
[177] eval-auc:0.694196 train-auc:0.964835
[178] eval-auc:0.69454 train-auc:0.965046
[179] eval-auc:0.695401 train-auc:0.965139
[180] eval-auc:0.696024 train-auc:0.965351
[181] eval-auc:0.696305 train-auc:0.965541
[182] eval-auc:0.696799 train-auc:0.965594
[183] eval-auc:0.696387 train-auc:0.966263
[184] eval-auc:0.696345 train-auc:0.966078
[185] eval-auc:0.696138 train-auc:0.96653
[186] eval-auc:0.696123 train-auc:0.967092
[187] eval-auc:0.696537 train-auc:0.967673
[188] eval-auc:0.697214 train-auc:0.96799
[189] eval-auc:0.698367 train-auc:0.968689
[190] eval-auc:0.698221 train-auc:0.969084
[191] eval-auc:0.698384 train-auc:0.969154
[192] eval-auc:0.698652 train-auc:0.969172
[193] eval-auc:0.699142 train-auc:0.969387
[194] eval-auc:0.698844 train-auc:0.969406
[195] eval-auc:0.698399 train-auc:0.969659
[196] eval-auc:0.698538 train-auc:0.969909
[197] eval-auc:0.699067 train-auc:0.970514
[198] eval-auc:0.699471 train-auc:0.970793
[199] eval-auc:0.700016 train-auc:0.971009
[200] eval-auc:0.698991 train-auc:0.97136
[201] eval-auc:0.698901 train-auc:0.971606
[202] eval-auc:0.698685 train-auc:0.971841
[203] eval-auc:0.700062 train-auc:0.971867
[204] eval-auc:0.699739 train-auc:0.972176
[205] eval-auc:0.699847 train-auc:0.972247
[206] eval-auc:0.698151 train-auc:0.972594
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[208] eval-auc:0.698486 train-auc:0.973051
[209] eval-auc:0.698289 train-auc:0.973326
[210] eval-auc:0.698317 train-auc:0.973373
[211] eval-auc:0.69781 train-auc:0.973434
[212] eval-auc:0.69766 train-auc:0.973634
[213] eval-auc:0.696835 train-auc:0.973778
[214] eval-auc:0.69731 train-auc:0.974561
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[216] eval-auc:0.697124 train-auc:0.975002
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[218] eval-auc:0.697992 train-auc:0.975558
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[223] eval-auc:0.69911 train-auc:0.976956
[224] eval-auc:0.698682 train-auc:0.977109
[225] eval-auc:0.69848 train-auc:0.977539
[226] eval-auc:0.698926 train-auc:0.977635
[227] eval-auc:0.698203 train-auc:0.977692
[228] eval-auc:0.697592 train-auc:0.978109
[229] eval-auc:0.69782 train-auc:0.978435
[230] eval-auc:0.698464 train-auc:0.978486
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[232] eval-auc:0.699506 train-auc:0.97889
[233] eval-auc:0.699036 train-auc:0.979065
[234] eval-auc:0.699801 train-auc:0.979259
[235] eval-auc:0.700872 train-auc:0.979692
[236] eval-auc:0.700599 train-auc:0.979756
[237] eval-auc:0.700267 train-auc:0.980314
[238] eval-auc:0.700165 train-auc:0.980295
[239] eval-auc:0.699582 train-auc:0.980194
[240] eval-auc:0.700205 train-auc:0.980301
[241] eval-auc:0.700281 train-auc:0.980444
[242] eval-auc:0.700302 train-auc:0.980593
[243] eval-auc:0.700398 train-auc:0.980578
[244] eval-auc:0.700995 train-auc:0.980596
[245] eval-auc:0.700354 train-auc:0.980648
[246] eval-auc:0.700243 train-auc:0.980663
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[248] eval-auc:0.700321 train-auc:0.981114
[249] eval-auc:0.701154 train-auc:0.981287
[250] eval-auc:0.700822 train-auc:0.981393
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[252] eval-auc:0.700516 train-auc:0.98141
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[254] eval-auc:0.700277 train-auc:0.981632
[255] eval-auc:0.699587 train-auc:0.981782
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[258] eval-auc:0.700248 train-auc:0.982293
[259] eval-auc:0.699483 train-auc:0.982551
[260] eval-auc:0.699415 train-auc:0.982797
[261] eval-auc:0.699314 train-auc:0.983045
[262] eval-auc:0.699544 train-auc:0.983414
[263] eval-auc:0.700496 train-auc:0.983377
[264] eval-auc:0.700787 train-auc:0.983448
[265] eval-auc:0.700412 train-auc:0.983546
[266] eval-auc:0.700263 train-auc:0.983537
[267] eval-auc:0.70006 train-auc:0.983741
[268] eval-auc:0.700365 train-auc:0.984006
[269] eval-auc:0.700494 train-auc:0.984125
[270] eval-auc:0.70103 train-auc:0.984391
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[272] eval-auc:0.701341 train-auc:0.984601
[273] eval-auc:0.701161 train-auc:0.984719
[274] eval-auc:0.701105 train-auc:0.984866
[275] eval-auc:0.701367 train-auc:0.985066
[276] eval-auc:0.700933 train-auc:0.985125
[277] eval-auc:0.700462 train-auc:0.985126
[278] eval-auc:0.700203 train-auc:0.985457
[279] eval-auc:0.700281 train-auc:0.985499
[280] eval-auc:0.70077 train-auc:0.985521
[281] eval-auc:0.701208 train-auc:0.985555
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[283] eval-auc:0.700572 train-auc:0.985913
[284] eval-auc:0.700528 train-auc:0.986206
[285] eval-auc:0.70052 train-auc:0.986258
[286] eval-auc:0.700895 train-auc:0.986525
[287] eval-auc:0.700928 train-auc:0.986626
[288] eval-auc:0.699954 train-auc:0.986695
[289] eval-auc:0.699614 train-auc:0.986833
[290] eval-auc:0.700435 train-auc:0.986842
[291] eval-auc:0.700534 train-auc:0.987036
[292] eval-auc:0.700101 train-auc:0.987093
[293] eval-auc:0.700313 train-auc:0.987197
[294] eval-auc:0.700541 train-auc:0.987259
[295] eval-auc:0.700088 train-auc:0.987448
[296] eval-auc:0.7001 train-auc:0.98763
[297] eval-auc:0.70038 train-auc:0.987747
[298] eval-auc:0.699923 train-auc:0.987965
[299] eval-auc:0.70064 train-auc:0.988085
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[301] eval-auc:0.700549 train-auc:0.988183
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[306] eval-auc:0.70235 train-auc:0.988883
[307] eval-auc:0.702954 train-auc:0.988975
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[722] eval-auc:0.696162 train-auc:0.99968
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[726] eval-auc:0.696651 train-auc:0.999696
[727] eval-auc:0.697012 train-auc:0.999687
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[761] eval-auc:0.696143 train-auc:0.999815
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[765] eval-auc:0.696039 train-auc:0.999813
[766] eval-auc:0.696077 train-auc:0.999822
[767] eval-auc:0.695929 train-auc:0.999823
[768] eval-auc:0.696203 train-auc:0.999822
[769] eval-auc:0.696534 train-auc:0.999825
[770] eval-auc:0.696055 train-auc:0.999821
[771] eval-auc:0.69626 train-auc:0.999824
[772] eval-auc:0.696467 train-auc:0.999826
[773] eval-auc:0.696713 train-auc:0.999826
[774] eval-auc:0.697112 train-auc:0.999817
[775] eval-auc:0.696828 train-auc:0.999824
[776] eval-auc:0.696582 train-auc:0.999824
[777] eval-auc:0.696234 train-auc:0.999818
[778] eval-auc:0.695985 train-auc:0.999822
[779] eval-auc:0.696055 train-auc:0.999824
[780] eval-auc:0.695783 train-auc:0.999821
[781] eval-auc:0.695778 train-auc:0.99982
[782] eval-auc:0.695689 train-auc:0.99982
[783] eval-auc:0.695515 train-auc:0.999819
[784] eval-auc:0.695536 train-auc:0.999817
[785] eval-auc:0.695614 train-auc:0.99982
[786] eval-auc:0.695469 train-auc:0.999827
[787] eval-auc:0.695498 train-auc:0.999822
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[789] eval-auc:0.695381 train-auc:0.999828
[790] eval-auc:0.695079 train-auc:0.999834
[791] eval-auc:0.695189 train-auc:0.999836
[792] eval-auc:0.695131 train-auc:0.999843
[793] eval-auc:0.694857 train-auc:0.999842
[794] eval-auc:0.695431 train-auc:0.999838
[795] eval-auc:0.696054 train-auc:0.999855
[796] eval-auc:0.69617 train-auc:0.999859
[797] eval-auc:0.695943 train-auc:0.999863
[798] eval-auc:0.696261 train-auc:0.999864
[799] eval-auc:0.696264 train-auc:0.999866
[800] eval-auc:0.696197 train-auc:0.999867
[801] eval-auc:0.695832 train-auc:0.999865
[802] eval-auc:0.695766 train-auc:0.999866
[803] eval-auc:0.695355 train-auc:0.999869
[804] eval-auc:0.695803 train-auc:0.99987
[805] eval-auc:0.695734 train-auc:0.999873
[806] eval-auc:0.695853 train-auc:0.999872
[807] eval-auc:0.696083 train-auc:0.999873
[808] eval-auc:0.69581 train-auc:0.999872
[809] eval-auc:0.696159 train-auc:0.999871
[810] eval-auc:0.69629 train-auc:0.999873
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[812] eval-auc:0.696095 train-auc:0.999869
[813] eval-auc:0.696529 train-auc:0.999875
[814] eval-auc:0.696448 train-auc:0.99988
[815] eval-auc:0.696584 train-auc:0.999882
[816] eval-auc:0.696532 train-auc:0.999889
[817] eval-auc:0.696508 train-auc:0.999892
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[820] eval-auc:0.695692 train-auc:0.999898
[821] eval-auc:0.695622 train-auc:0.999894
[822] eval-auc:0.695593 train-auc:0.999895
[823] eval-auc:0.695503 train-auc:0.9999
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[825] eval-auc:0.695054 train-auc:0.999898
[826] eval-auc:0.69506 train-auc:0.999901
[827] eval-auc:0.695041 train-auc:0.9999
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[830] eval-auc:0.694606 train-auc:0.999906
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[850] eval-auc:0.694271 train-auc:0.999898
[851] eval-auc:0.69439 train-auc:0.999895
[852] eval-auc:0.694283 train-auc:0.999891
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[854] eval-auc:0.694397 train-auc:0.999902
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[858] eval-auc:0.694097 train-auc:0.999909
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[860] eval-auc:0.693516 train-auc:0.999914
[861] eval-auc:0.693749 train-auc:0.999915
[862] eval-auc:0.693205 train-auc:0.999912
[863] eval-auc:0.693223 train-auc:0.999919
[864] eval-auc:0.693015 train-auc:0.999919
[865] eval-auc:0.693152 train-auc:0.999917
[866] eval-auc:0.693231 train-auc:0.999916
[867] eval-auc:0.693134 train-auc:0.999918
[868] eval-auc:0.693197 train-auc:0.999921
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[870] eval-auc:0.693374 train-auc:0.999925
[871] eval-auc:0.692882 train-auc:0.999927
[872] eval-auc:0.693033 train-auc:0.999927
[873] eval-auc:0.692867 train-auc:0.999927
[874] eval-auc:0.692855 train-auc:0.999926
[875] eval-auc:0.692558 train-auc:0.999923
[876] eval-auc:0.69241 train-auc:0.99992
[877] eval-auc:0.692281 train-auc:0.999919
[878] eval-auc:0.692533 train-auc:0.99992
[879] eval-auc:0.69245 train-auc:0.999912
[880] eval-auc:0.692549 train-auc:0.999912
[881] eval-auc:0.692296 train-auc:0.999907
[882] eval-auc:0.691975 train-auc:0.999912
[883] eval-auc:0.692084 train-auc:0.999912
[884] eval-auc:0.691933 train-auc:0.999908
[885] eval-auc:0.691869 train-auc:0.999909
[886] eval-auc:0.691892 train-auc:0.99991
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[889] eval-auc:0.692637 train-auc:0.99991
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[891] eval-auc:0.692334 train-auc:0.999912
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[893] eval-auc:0.692197 train-auc:0.999901
[894] eval-auc:0.692305 train-auc:0.999896
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[896] eval-auc:0.692133 train-auc:0.999916
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[898] eval-auc:0.69174 train-auc:0.999914
[899] eval-auc:0.691684 train-auc:0.999918
[900] eval-auc:0.692151 train-auc:0.999914
[901] eval-auc:0.692208 train-auc:0.999916
[902] eval-auc:0.692116 train-auc:0.999926
[903] eval-auc:0.692013 train-auc:0.999928
[904] eval-auc:0.692235 train-auc:0.99993
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[906] eval-auc:0.692107 train-auc:0.999935
[907] eval-auc:0.692255 train-auc:0.999934
[908] eval-auc:0.692198 train-auc:0.999934
[909] eval-auc:0.692054 train-auc:0.999933
[910] eval-auc:0.692023 train-auc:0.999932
[911] eval-auc:0.692169 train-auc:0.999935
[912] eval-auc:0.691901 train-auc:0.999936
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[915] eval-auc:0.692026 train-auc:0.999942
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[918] eval-auc:0.691344 train-auc:0.999953
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[920] eval-auc:0.691291 train-auc:0.999954
[921] eval-auc:0.690957 train-auc:0.999953
[922] eval-auc:0.690881 train-auc:0.999955
[923] eval-auc:0.690756 train-auc:0.999956
[924] eval-auc:0.690796 train-auc:0.999954
[925] eval-auc:0.691006 train-auc:0.999953
[926] eval-auc:0.690516 train-auc:0.999953
[927] eval-auc:0.690485 train-auc:0.999954
[928] eval-auc:0.690603 train-auc:0.999956
[929] eval-auc:0.690429 train-auc:0.999956
[930] eval-auc:0.68986 train-auc:0.999954
[931] eval-auc:0.689776 train-auc:0.999964
[932] eval-auc:0.689369 train-auc:0.999962
[933] eval-auc:0.689739 train-auc:0.999961
[934] eval-auc:0.689884 train-auc:0.999961
[935] eval-auc:0.689634 train-auc:0.999958
[936] eval-auc:0.689843 train-auc:0.999958
[937] eval-auc:0.689902 train-auc:0.999953
[938] eval-auc:0.68969 train-auc:0.999949
[939] eval-auc:0.689788 train-auc:0.999953
[940] eval-auc:0.689773 train-auc:0.999953
[941] eval-auc:0.69003 train-auc:0.999959
[942] eval-auc:0.69005 train-auc:0.999958
[943] eval-auc:0.68964 train-auc:0.99996
[944] eval-auc:0.689497 train-auc:0.999958
[945] eval-auc:0.689415 train-auc:0.999959
[946] eval-auc:0.689703 train-auc:0.999961
[947] eval-auc:0.689826 train-auc:0.999967
[948] eval-auc:0.689891 train-auc:0.999964
[949] eval-auc:0.689625 train-auc:0.999964
[950] eval-auc:0.68945 train-auc:0.999964
[951] eval-auc:0.689244 train-auc:0.999964
[952] eval-auc:0.689261 train-auc:0.999965
[953] eval-auc:0.689164 train-auc:0.999968
[954] eval-auc:0.690004 train-auc:0.99997
[955] eval-auc:0.690246 train-auc:0.999971
[956] eval-auc:0.69023 train-auc:0.999971
[957] eval-auc:0.690345 train-auc:0.999972
[958] eval-auc:0.690523 train-auc:0.999971
[959] eval-auc:0.690871 train-auc:0.999976
[960] eval-auc:0.691137 train-auc:0.999974
[961] eval-auc:0.690641 train-auc:0.999975
Score 0.690640646127983
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8500000000000001, 'eta': 0.05, 'eval_metric': 'auc', 'gamma': 0.8500000000000001, 'max_depth': 5, 'min_child_weight': 5.0, 'n_estimators': 743.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.8, 'tree_method': 'exact'}
[0] eval-auc:0.697173 train-auc:0.751164
[1] eval-auc:0.693334 train-auc:0.76478
[2] eval-auc:0.696578 train-auc:0.776086
[3] eval-auc:0.697677 train-auc:0.784713
[4] eval-auc:0.698091 train-auc:0.789928
[5] eval-auc:0.690401 train-auc:0.802744
[6] eval-auc:0.693567 train-auc:0.803019
[7] eval-auc:0.6987 train-auc:0.811598
[8] eval-auc:0.701536 train-auc:0.820138
[9] eval-auc:0.705812 train-auc:0.822766
[10] eval-auc:0.706503 train-auc:0.827752
[11] eval-auc:0.707952 train-auc:0.831786
[12] eval-auc:0.705075 train-auc:0.830101
[13] eval-auc:0.706048 train-auc:0.8299
[14] eval-auc:0.707428 train-auc:0.831227
[15] eval-auc:0.705645 train-auc:0.835097
[16] eval-auc:0.707663 train-auc:0.840426
[17] eval-auc:0.708219 train-auc:0.846039
[18] eval-auc:0.70662 train-auc:0.846508
[19] eval-auc:0.705023 train-auc:0.848953
[20] eval-auc:0.70638 train-auc:0.849336
[21] eval-auc:0.707568 train-auc:0.853758
[22] eval-auc:0.707133 train-auc:0.855283
[23] eval-auc:0.708876 train-auc:0.855631
[24] eval-auc:0.707533 train-auc:0.859467
[25] eval-auc:0.707334 train-auc:0.862106
[26] eval-auc:0.707981 train-auc:0.863728
[27] eval-auc:0.708004 train-auc:0.867105
[28] eval-auc:0.708412 train-auc:0.867129
[29] eval-auc:0.706939 train-auc:0.868489
[30] eval-auc:0.706779 train-auc:0.871331
[31] eval-auc:0.707796 train-auc:0.873463
[32] eval-auc:0.708639 train-auc:0.875486
[33] eval-auc:0.707984 train-auc:0.874959
[34] eval-auc:0.707372 train-auc:0.876254
[35] eval-auc:0.708338 train-auc:0.878899
[36] eval-auc:0.707997 train-auc:0.880158
[37] eval-auc:0.707142 train-auc:0.880747
[38] eval-auc:0.706297 train-auc:0.882557
[39] eval-auc:0.706913 train-auc:0.883775
[40] eval-auc:0.705705 train-auc:0.885615
[41] eval-auc:0.706823 train-auc:0.887039
[42] eval-auc:0.706203 train-auc:0.887719
[43] eval-auc:0.705382 train-auc:0.890232
[44] eval-auc:0.704765 train-auc:0.891537
[45] eval-auc:0.704922 train-auc:0.891787
[46] eval-auc:0.703346 train-auc:0.892249
[47] eval-auc:0.703765 train-auc:0.892556
[48] eval-auc:0.703997 train-auc:0.893054
[49] eval-auc:0.704423 train-auc:0.893079
[50] eval-auc:0.704268 train-auc:0.894468
[51] eval-auc:0.703327 train-auc:0.895432
[52] eval-auc:0.704246 train-auc:0.897098
[53] eval-auc:0.704268 train-auc:0.897732
[54] eval-auc:0.703821 train-auc:0.901001
[55] eval-auc:0.70433 train-auc:0.901209
[56] eval-auc:0.702944 train-auc:0.90179
[57] eval-auc:0.701617 train-auc:0.902657
[58] eval-auc:0.700925 train-auc:0.903323
[59] eval-auc:0.701539 train-auc:0.903384
[60] eval-auc:0.701589 train-auc:0.903306
[61] eval-auc:0.702364 train-auc:0.904148
[62] eval-auc:0.701444 train-auc:0.904919
[63] eval-auc:0.700677 train-auc:0.906402
[64] eval-auc:0.700202 train-auc:0.906983
[65] eval-auc:0.700095 train-auc:0.907188
[66] eval-auc:0.700497 train-auc:0.907602
[67] eval-auc:0.701108 train-auc:0.908382
[68] eval-auc:0.701775 train-auc:0.908973
[69] eval-auc:0.701947 train-auc:0.909797
[70] eval-auc:0.701329 train-auc:0.910382
[71] eval-auc:0.700613 train-auc:0.912814
[72] eval-auc:0.70063 train-auc:0.913571
[73] eval-auc:0.699876 train-auc:0.915237
[74] eval-auc:0.69991 train-auc:0.916461
[75] eval-auc:0.700767 train-auc:0.91809
[76] eval-auc:0.701601 train-auc:0.919299
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[543] eval-auc:0.698627 train-auc:0.998416
[544] eval-auc:0.698399 train-auc:0.998424
[545] eval-auc:0.698522 train-auc:0.998427
[546] eval-auc:0.698845 train-auc:0.998435
[547] eval-auc:0.698923 train-auc:0.998459
[548] eval-auc:0.699071 train-auc:0.99848
[549] eval-auc:0.699069 train-auc:0.998475
[550] eval-auc:0.69909 train-auc:0.998475
[551] eval-auc:0.69894 train-auc:0.99847
[552] eval-auc:0.699005 train-auc:0.99848
[553] eval-auc:0.698944 train-auc:0.998492
[554] eval-auc:0.698611 train-auc:0.998499
[555] eval-auc:0.698384 train-auc:0.998516
[556] eval-auc:0.698396 train-auc:0.998522
[557] eval-auc:0.698283 train-auc:0.998524
[558] eval-auc:0.698277 train-auc:0.998526
[559] eval-auc:0.698496 train-auc:0.998535
[560] eval-auc:0.698626 train-auc:0.998532
[561] eval-auc:0.698577 train-auc:0.998538
[562] eval-auc:0.698717 train-auc:0.998552
[563] eval-auc:0.698796 train-auc:0.998607
[564] eval-auc:0.699093 train-auc:0.9986
[565] eval-auc:0.699208 train-auc:0.998628
[566] eval-auc:0.699214 train-auc:0.998637
[567] eval-auc:0.699302 train-auc:0.998666
[568] eval-auc:0.699226 train-auc:0.998671
[569] eval-auc:0.699055 train-auc:0.998681
[570] eval-auc:0.698927 train-auc:0.998679
[571] eval-auc:0.699008 train-auc:0.998691
[572] eval-auc:0.69917 train-auc:0.998692
[573] eval-auc:0.699051 train-auc:0.998685
[574] eval-auc:0.698798 train-auc:0.998715
[575] eval-auc:0.698821 train-auc:0.998714
[576] eval-auc:0.699007 train-auc:0.99872
[577] eval-auc:0.698929 train-auc:0.998719
[578] eval-auc:0.699004 train-auc:0.998748
[579] eval-auc:0.698924 train-auc:0.99875
[580] eval-auc:0.698903 train-auc:0.998753
[581] eval-auc:0.699115 train-auc:0.998757
[582] eval-auc:0.699259 train-auc:0.998785
[583] eval-auc:0.699307 train-auc:0.998783
[584] eval-auc:0.699689 train-auc:0.998814
[585] eval-auc:0.699865 train-auc:0.998826
[586] eval-auc:0.699879 train-auc:0.998841
[587] eval-auc:0.699891 train-auc:0.998849
[588] eval-auc:0.69989 train-auc:0.998863
[589] eval-auc:0.699923 train-auc:0.998866
[590] eval-auc:0.699942 train-auc:0.99887
[591] eval-auc:0.699861 train-auc:0.998874
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[593] eval-auc:0.699716 train-auc:0.998877
[594] eval-auc:0.699728 train-auc:0.998897
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[596] eval-auc:0.699118 train-auc:0.998906
[597] eval-auc:0.698988 train-auc:0.998905
[598] eval-auc:0.699141 train-auc:0.998908
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[600] eval-auc:0.699304 train-auc:0.998937
[601] eval-auc:0.699238 train-auc:0.998943
[602] eval-auc:0.699247 train-auc:0.998944
[603] eval-auc:0.699293 train-auc:0.998948
[604] eval-auc:0.699349 train-auc:0.998965
[605] eval-auc:0.699509 train-auc:0.998977
[606] eval-auc:0.699345 train-auc:0.998982
[607] eval-auc:0.699445 train-auc:0.998989
[608] eval-auc:0.699509 train-auc:0.999
[609] eval-auc:0.699313 train-auc:0.999014
[610] eval-auc:0.699323 train-auc:0.999014
[611] eval-auc:0.699303 train-auc:0.999014
[612] eval-auc:0.699371 train-auc:0.99901
[613] eval-auc:0.699221 train-auc:0.999018
[614] eval-auc:0.699115 train-auc:0.999018
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[626] eval-auc:0.699384 train-auc:0.999074
[627] eval-auc:0.699121 train-auc:0.999075
[628] eval-auc:0.698815 train-auc:0.999097
[629] eval-auc:0.698949 train-auc:0.9991
[630] eval-auc:0.698961 train-auc:0.999111
[631] eval-auc:0.698716 train-auc:0.999115
[632] eval-auc:0.698909 train-auc:0.999116
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[634] eval-auc:0.699025 train-auc:0.999138
[635] eval-auc:0.69906 train-auc:0.999143
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[637] eval-auc:0.699008 train-auc:0.999145
[638] eval-auc:0.698857 train-auc:0.999157
[639] eval-auc:0.698959 train-auc:0.999164
[640] eval-auc:0.698917 train-auc:0.999166
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[642] eval-auc:0.69865 train-auc:0.999167
[643] eval-auc:0.698714 train-auc:0.999175
[644] eval-auc:0.698646 train-auc:0.999163
[645] eval-auc:0.698842 train-auc:0.99915
[646] eval-auc:0.698723 train-auc:0.999165
[647] eval-auc:0.69897 train-auc:0.999166
[648] eval-auc:0.699067 train-auc:0.999171
[649] eval-auc:0.699282 train-auc:0.999168
[650] eval-auc:0.699215 train-auc:0.999169
[651] eval-auc:0.699387 train-auc:0.999168
[652] eval-auc:0.69934 train-auc:0.999184
[653] eval-auc:0.699335 train-auc:0.999186
[654] eval-auc:0.699221 train-auc:0.999183
[655] eval-auc:0.69947 train-auc:0.999181
[656] eval-auc:0.699375 train-auc:0.999188
[657] eval-auc:0.699812 train-auc:0.999206
[658] eval-auc:0.699745 train-auc:0.999226
[659] eval-auc:0.700066 train-auc:0.999234
[660] eval-auc:0.70006 train-auc:0.999235
[661] eval-auc:0.700152 train-auc:0.999248
[662] eval-auc:0.700235 train-auc:0.999245
[663] eval-auc:0.700335 train-auc:0.999245
[664] eval-auc:0.700379 train-auc:0.999252
[665] eval-auc:0.700389 train-auc:0.999245
[666] eval-auc:0.700202 train-auc:0.99924
[667] eval-auc:0.699824 train-auc:0.999246
[668] eval-auc:0.699736 train-auc:0.999257
[669] eval-auc:0.699893 train-auc:0.999256
[670] eval-auc:0.69989 train-auc:0.999261
[671] eval-auc:0.699806 train-auc:0.999272
[672] eval-auc:0.699814 train-auc:0.999275
[673] eval-auc:0.699884 train-auc:0.99929
[674] eval-auc:0.699796 train-auc:0.999293
[675] eval-auc:0.699599 train-auc:0.999307
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[678] eval-auc:0.699855 train-auc:0.999316
[679] eval-auc:0.699873 train-auc:0.999328
[680] eval-auc:0.699804 train-auc:0.99934
[681] eval-auc:0.699546 train-auc:0.999353
[682] eval-auc:0.699567 train-auc:0.999356
[683] eval-auc:0.699638 train-auc:0.999367
[684] eval-auc:0.699605 train-auc:0.999372
[685] eval-auc:0.699511 train-auc:0.999374
[686] eval-auc:0.699351 train-auc:0.999374
[687] eval-auc:0.699392 train-auc:0.999395
[688] eval-auc:0.699406 train-auc:0.999395
[689] eval-auc:0.699389 train-auc:0.999393
[690] eval-auc:0.699401 train-auc:0.999404
[691] eval-auc:0.699433 train-auc:0.999401
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[693] eval-auc:0.699308 train-auc:0.999412
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[697] eval-auc:0.699259 train-auc:0.999432
[698] eval-auc:0.699072 train-auc:0.999451
[699] eval-auc:0.699093 train-auc:0.999455
[700] eval-auc:0.698997 train-auc:0.999461
[701] eval-auc:0.69918 train-auc:0.999457
[702] eval-auc:0.699237 train-auc:0.999455
[703] eval-auc:0.699115 train-auc:0.99945
[704] eval-auc:0.699163 train-auc:0.999449
[705] eval-auc:0.699195 train-auc:0.999462
[706] eval-auc:0.699131 train-auc:0.99946
[707] eval-auc:0.699396 train-auc:0.999461
[708] eval-auc:0.699142 train-auc:0.999471
[709] eval-auc:0.699195 train-auc:0.999474
[710] eval-auc:0.699471 train-auc:0.999472
[711] eval-auc:0.699588 train-auc:0.99947
[712] eval-auc:0.699358 train-auc:0.999487
[713] eval-auc:0.699278 train-auc:0.999488
[714] eval-auc:0.699162 train-auc:0.999487
[715] eval-auc:0.699197 train-auc:0.99949
[716] eval-auc:0.699046 train-auc:0.999501
[717] eval-auc:0.699045 train-auc:0.9995
[718] eval-auc:0.699052 train-auc:0.999505
[719] eval-auc:0.698859 train-auc:0.999506
[720] eval-auc:0.699051 train-auc:0.999509
[721] eval-auc:0.699113 train-auc:0.999513
[722] eval-auc:0.699002 train-auc:0.999518
[723] eval-auc:0.699119 train-auc:0.999509
[724] eval-auc:0.699466 train-auc:0.999512
[725] eval-auc:0.699441 train-auc:0.999506
[726] eval-auc:0.699537 train-auc:0.999504
[727] eval-auc:0.699619 train-auc:0.999506
[728] eval-auc:0.699666 train-auc:0.999506
[729] eval-auc:0.699619 train-auc:0.99952
[730] eval-auc:0.699294 train-auc:0.999527
[731] eval-auc:0.699319 train-auc:0.999526
[732] eval-auc:0.699346 train-auc:0.999534
[733] eval-auc:0.699389 train-auc:0.999537
[734] eval-auc:0.699433 train-auc:0.999542
[735] eval-auc:0.699453 train-auc:0.999541
[736] eval-auc:0.699464 train-auc:0.99954
[737] eval-auc:0.699405 train-auc:0.999542
[738] eval-auc:0.699455 train-auc:0.999549
[739] eval-auc:0.699505 train-auc:0.999551
[740] eval-auc:0.699744 train-auc:0.999553
[741] eval-auc:0.69977 train-auc:0.999552
[742] eval-auc:0.699852 train-auc:0.999548
Score 0.6998516853658834
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.75, 'eta': 0.30000000000000004, 'eval_metric': 'auc', 'gamma': 0.65, 'max_depth': 8, 'min_child_weight': 4.0, 'n_estimators': 523.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.55, 'tree_method': 'exact'}
[0] eval-auc:0.602062 train-auc:0.736317
[1] eval-auc:0.613032 train-auc:0.768406
[2] eval-auc:0.614593 train-auc:0.807519
[3] eval-auc:0.628654 train-auc:0.827221
[4] eval-auc:0.662151 train-auc:0.868128
[5] eval-auc:0.663295 train-auc:0.882743
[6] eval-auc:0.667717 train-auc:0.893343
[7] eval-auc:0.666161 train-auc:0.899545
[8] eval-auc:0.675707 train-auc:0.907926
[9] eval-auc:0.679228 train-auc:0.915532
[10] eval-auc:0.677729 train-auc:0.926953
[11] eval-auc:0.67144 train-auc:0.931786
[12] eval-auc:0.669139 train-auc:0.938673
[13] eval-auc:0.667226 train-auc:0.941444
[14] eval-auc:0.665984 train-auc:0.943687
[15] eval-auc:0.662902 train-auc:0.950595
[16] eval-auc:0.660436 train-auc:0.954968
[17] eval-auc:0.677085 train-auc:0.96017
[18] eval-auc:0.671019 train-auc:0.962193
[19] eval-auc:0.680871 train-auc:0.965703
[20] eval-auc:0.678996 train-auc:0.968874
[21] eval-auc:0.678415 train-auc:0.96975
[22] eval-auc:0.676178 train-auc:0.97172
[23] eval-auc:0.680894 train-auc:0.97483
[24] eval-auc:0.681363 train-auc:0.978493
[25] eval-auc:0.679146 train-auc:0.979024
[26] eval-auc:0.677649 train-auc:0.980098
[27] eval-auc:0.680831 train-auc:0.981278
[28] eval-auc:0.680766 train-auc:0.983249
[29] eval-auc:0.677707 train-auc:0.983647
[30] eval-auc:0.679723 train-auc:0.985109
[31] eval-auc:0.678 train-auc:0.986556
[32] eval-auc:0.675884 train-auc:0.987971
[33] eval-auc:0.675698 train-auc:0.988411
[34] eval-auc:0.676007 train-auc:0.98873
[35] eval-auc:0.674067 train-auc:0.989141
[36] eval-auc:0.67395 train-auc:0.989434
[37] eval-auc:0.675824 train-auc:0.989968
[38] eval-auc:0.675148 train-auc:0.990641
[39] eval-auc:0.675167 train-auc:0.991222
[40] eval-auc:0.678975 train-auc:0.992085
[41] eval-auc:0.679983 train-auc:0.992509
[42] eval-auc:0.681953 train-auc:0.992856
[43] eval-auc:0.679986 train-auc:0.993245
[44] eval-auc:0.680396 train-auc:0.993464
[45] eval-auc:0.680962 train-auc:0.993632
[46] eval-auc:0.677244 train-auc:0.994315
[47] eval-auc:0.675447 train-auc:0.994675
[48] eval-auc:0.675844 train-auc:0.994712
[49] eval-auc:0.674978 train-auc:0.995071
[50] eval-auc:0.674079 train-auc:0.995452
[51] eval-auc:0.672864 train-auc:0.995831
[52] eval-auc:0.673347 train-auc:0.996389
[53] eval-auc:0.673105 train-auc:0.996709
[54] eval-auc:0.673845 train-auc:0.997029
[55] eval-auc:0.674524 train-auc:0.997266
[56] eval-auc:0.673284 train-auc:0.997555
[57] eval-auc:0.67254 train-auc:0.997846
[58] eval-auc:0.674154 train-auc:0.997816
[59] eval-auc:0.672939 train-auc:0.998035
[60] eval-auc:0.67546 train-auc:0.99852
[61] eval-auc:0.674191 train-auc:0.998749
[62] eval-auc:0.67285 train-auc:0.998863
[63] eval-auc:0.679069 train-auc:0.998948
[64] eval-auc:0.678823 train-auc:0.999023
[65] eval-auc:0.680251 train-auc:0.999087
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[498] eval-auc:0.677427 train-auc:1
[499] eval-auc:0.677397 train-auc:1
[500] eval-auc:0.677528 train-auc:1
[501] eval-auc:0.677425 train-auc:1
[502] eval-auc:0.677257 train-auc:1
[503] eval-auc:0.67741 train-auc:1
[504] eval-auc:0.677268 train-auc:1
[505] eval-auc:0.676892 train-auc:1
[506] eval-auc:0.676913 train-auc:1
[507] eval-auc:0.676569 train-auc:1
[508] eval-auc:0.676145 train-auc:1
[509] eval-auc:0.676023 train-auc:1
[510] eval-auc:0.676255 train-auc:1
[511] eval-auc:0.676342 train-auc:1
[512] eval-auc:0.676213 train-auc:1
[513] eval-auc:0.676053 train-auc:1
[514] eval-auc:0.675649 train-auc:1
[515] eval-auc:0.675698 train-auc:1
[516] eval-auc:0.675677 train-auc:1
[517] eval-auc:0.675594 train-auc:1
[518] eval-auc:0.675386 train-auc:1
[519] eval-auc:0.675591 train-auc:1
[520] eval-auc:0.675645 train-auc:1
[521] eval-auc:0.675183 train-auc:1
[522] eval-auc:0.675183 train-auc:1
Score 0.6751833375969984
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.6000000000000001, 'eta': 0.2, 'eval_metric': 'auc', 'gamma': 0.55, 'max_depth': 9, 'min_child_weight': 6.0, 'n_estimators': 897.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.510612 train-auc:0.711928
[1] eval-auc:0.5946 train-auc:0.872692
[2] eval-auc:0.586655 train-auc:0.876383
[3] eval-auc:0.60225 train-auc:0.90329
[4] eval-auc:0.635307 train-auc:0.916364
[5] eval-auc:0.640013 train-auc:0.943308
[6] eval-auc:0.652287 train-auc:0.948134
[7] eval-auc:0.649153 train-auc:0.948925
[8] eval-auc:0.652521 train-auc:0.962505
[9] eval-auc:0.660212 train-auc:0.971083
[10] eval-auc:0.661993 train-auc:0.976654
[11] eval-auc:0.664453 train-auc:0.979698
[12] eval-auc:0.670387 train-auc:0.980526
[13] eval-auc:0.668931 train-auc:0.983114
[14] eval-auc:0.669427 train-auc:0.984137
[15] eval-auc:0.672668 train-auc:0.986688
[16] eval-auc:0.671753 train-auc:0.986817
[17] eval-auc:0.685945 train-auc:0.99057
[18] eval-auc:0.686345 train-auc:0.991477
[19] eval-auc:0.694913 train-auc:0.993365
[20] eval-auc:0.693112 train-auc:0.994238
[21] eval-auc:0.69335 train-auc:0.994546
[22] eval-auc:0.696176 train-auc:0.995314
[23] eval-auc:0.694164 train-auc:0.995895
[24] eval-auc:0.69338 train-auc:0.996519
[25] eval-auc:0.692133 train-auc:0.996631
[26] eval-auc:0.691653 train-auc:0.997097
[27] eval-auc:0.690865 train-auc:0.997348
[28] eval-auc:0.691757 train-auc:0.997914
[29] eval-auc:0.691235 train-auc:0.997948
[30] eval-auc:0.691058 train-auc:0.998243
[31] eval-auc:0.689652 train-auc:0.998402
[32] eval-auc:0.68931 train-auc:0.998501
[33] eval-auc:0.688503 train-auc:0.998575
[34] eval-auc:0.688457 train-auc:0.998765
[35] eval-auc:0.688561 train-auc:0.998857
[36] eval-auc:0.689896 train-auc:0.998837
[37] eval-auc:0.689631 train-auc:0.998834
[38] eval-auc:0.68913 train-auc:0.998914
[39] eval-auc:0.687763 train-auc:0.998927
[40] eval-auc:0.688341 train-auc:0.998936
[41] eval-auc:0.686788 train-auc:0.999046
[42] eval-auc:0.686494 train-auc:0.999065
[43] eval-auc:0.686753 train-auc:0.999202
[44] eval-auc:0.687184 train-auc:0.999176
[45] eval-auc:0.686063 train-auc:0.9993
[46] eval-auc:0.685718 train-auc:0.999365
[47] eval-auc:0.685169 train-auc:0.999465
[48] eval-auc:0.684793 train-auc:0.99949
[49] eval-auc:0.684798 train-auc:0.999515
[50] eval-auc:0.683668 train-auc:0.999567
[51] eval-auc:0.683548 train-auc:0.999575
[52] eval-auc:0.683694 train-auc:0.999578
[53] eval-auc:0.684111 train-auc:0.999631
[54] eval-auc:0.684783 train-auc:0.999668
[55] eval-auc:0.683829 train-auc:0.999706
[56] eval-auc:0.684305 train-auc:0.999717
[57] eval-auc:0.683749 train-auc:0.999726
[58] eval-auc:0.68337 train-auc:0.999765
[59] eval-auc:0.687486 train-auc:0.99981
[60] eval-auc:0.686174 train-auc:0.999838
[61] eval-auc:0.687521 train-auc:0.999863
[62] eval-auc:0.687055 train-auc:0.999875
[63] eval-auc:0.687827 train-auc:0.999887
[64] eval-auc:0.687543 train-auc:0.999893
[65] eval-auc:0.6879 train-auc:0.999887
[66] eval-auc:0.688929 train-auc:0.999886
[67] eval-auc:0.688583 train-auc:0.9999
[68] eval-auc:0.687138 train-auc:0.999901
[69] eval-auc:0.687045 train-auc:0.999901
[70] eval-auc:0.687285 train-auc:0.999892
[71] eval-auc:0.687134 train-auc:0.999889
[72] eval-auc:0.686665 train-auc:0.999902
[73] eval-auc:0.685827 train-auc:0.999919
[74] eval-auc:0.685616 train-auc:0.9999
[75] eval-auc:0.685536 train-auc:0.999898
[76] eval-auc:0.684661 train-auc:0.99992
[77] eval-auc:0.683852 train-auc:0.999922
[78] eval-auc:0.684333 train-auc:0.99992
[79] eval-auc:0.684047 train-auc:0.99993
[80] eval-auc:0.683123 train-auc:0.999944
[81] eval-auc:0.683601 train-auc:0.999947
[82] eval-auc:0.682322 train-auc:0.999941
[83] eval-auc:0.682677 train-auc:0.99993
[84] eval-auc:0.681792 train-auc:0.999937
[85] eval-auc:0.682007 train-auc:0.999939
[86] eval-auc:0.681812 train-auc:0.999939
[87] eval-auc:0.685393 train-auc:0.999965
[88] eval-auc:0.684877 train-auc:0.999968
[89] eval-auc:0.685168 train-auc:0.999969
[90] eval-auc:0.685281 train-auc:0.999966
[91] eval-auc:0.685617 train-auc:0.99998
[92] eval-auc:0.684749 train-auc:0.999982
[93] eval-auc:0.68407 train-auc:0.999983
[94] eval-auc:0.683968 train-auc:0.999983
[95] eval-auc:0.684254 train-auc:0.999983
[96] eval-auc:0.684224 train-auc:0.999983
[97] eval-auc:0.684608 train-auc:0.999985
[98] eval-auc:0.684489 train-auc:0.999986
[99] eval-auc:0.684154 train-auc:0.999987
[100] eval-auc:0.683877 train-auc:0.999987
[101] eval-auc:0.683636 train-auc:0.999984
[102] eval-auc:0.683618 train-auc:0.999984
[103] eval-auc:0.684262 train-auc:0.999985
[104] eval-auc:0.684297 train-auc:0.99999
[105] eval-auc:0.684169 train-auc:0.999993
[106] eval-auc:0.683202 train-auc:0.999993
[107] eval-auc:0.683435 train-auc:0.999996
[108] eval-auc:0.682556 train-auc:0.999999
[109] eval-auc:0.682963 train-auc:1
[110] eval-auc:0.683924 train-auc:1
[111] eval-auc:0.683595 train-auc:1
[112] eval-auc:0.683319 train-auc:1
[113] eval-auc:0.683437 train-auc:1
[114] eval-auc:0.68317 train-auc:0.999999
[115] eval-auc:0.682986 train-auc:0.999999
[116] eval-auc:0.682459 train-auc:0.999999
[117] eval-auc:0.682459 train-auc:0.999999
[118] eval-auc:0.682273 train-auc:0.999999
[119] eval-auc:0.682422 train-auc:0.999999
[120] eval-auc:0.682788 train-auc:0.999999
[121] eval-auc:0.68296 train-auc:0.999999
[122] eval-auc:0.684729 train-auc:0.999999
[123] eval-auc:0.684568 train-auc:0.999998
[124] eval-auc:0.684426 train-auc:0.999998
[125] eval-auc:0.684713 train-auc:0.999999
[126] eval-auc:0.684301 train-auc:1
[127] eval-auc:0.684181 train-auc:1
[128] eval-auc:0.683965 train-auc:1
[129] eval-auc:0.68426 train-auc:1
[130] eval-auc:0.683834 train-auc:1
[131] eval-auc:0.68388 train-auc:1
[132] eval-auc:0.683819 train-auc:1
[133] eval-auc:0.683341 train-auc:1
[134] eval-auc:0.683207 train-auc:1
[135] eval-auc:0.682922 train-auc:1
[136] eval-auc:0.682497 train-auc:1
[137] eval-auc:0.682623 train-auc:1
[138] eval-auc:0.681411 train-auc:1
[139] eval-auc:0.68134 train-auc:1
[140] eval-auc:0.681081 train-auc:1
[141] eval-auc:0.681925 train-auc:1
[142] eval-auc:0.681509 train-auc:1
[143] eval-auc:0.681605 train-auc:1
[144] eval-auc:0.681355 train-auc:1
[145] eval-auc:0.681457 train-auc:1
[146] eval-auc:0.681655 train-auc:1
[147] eval-auc:0.681838 train-auc:1
[148] eval-auc:0.681264 train-auc:1
[149] eval-auc:0.681518 train-auc:1
[150] eval-auc:0.681783 train-auc:1
[151] eval-auc:0.68157 train-auc:1
[152] eval-auc:0.681806 train-auc:1
[153] eval-auc:0.681631 train-auc:1
[154] eval-auc:0.682136 train-auc:1
[155] eval-auc:0.682023 train-auc:1
[156] eval-auc:0.682311 train-auc:1
[157] eval-auc:0.682403 train-auc:1
[158] eval-auc:0.682511 train-auc:1
[159] eval-auc:0.682625 train-auc:1
[160] eval-auc:0.681812 train-auc:1
[161] eval-auc:0.681475 train-auc:1
[162] eval-auc:0.681289 train-auc:1
[163] eval-auc:0.681064 train-auc:1
[164] eval-auc:0.681349 train-auc:1
[165] eval-auc:0.680857 train-auc:1
[166] eval-auc:0.680479 train-auc:1
[167] eval-auc:0.680484 train-auc:1
[168] eval-auc:0.680408 train-auc:1
[169] eval-auc:0.67995 train-auc:1
[170] eval-auc:0.678652 train-auc:1
[171] eval-auc:0.678092 train-auc:1
[172] eval-auc:0.678014 train-auc:1
[173] eval-auc:0.677507 train-auc:1
[174] eval-auc:0.677353 train-auc:1
[175] eval-auc:0.677483 train-auc:1
[176] eval-auc:0.677655 train-auc:1
[177] eval-auc:0.677445 train-auc:1
[178] eval-auc:0.677588 train-auc:1
[179] eval-auc:0.677347 train-auc:1
[180] eval-auc:0.67756 train-auc:1
[181] eval-auc:0.677397 train-auc:1
[182] eval-auc:0.677554 train-auc:1
[183] eval-auc:0.67697 train-auc:1
[184] eval-auc:0.677524 train-auc:1
[185] eval-auc:0.677639 train-auc:1
[186] eval-auc:0.67785 train-auc:1
[187] eval-auc:0.677978 train-auc:1
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[189] eval-auc:0.67788 train-auc:1
[190] eval-auc:0.677646 train-auc:1
[191] eval-auc:0.676843 train-auc:1
[192] eval-auc:0.67644 train-auc:1
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[195] eval-auc:0.677248 train-auc:1
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[198] eval-auc:0.677563 train-auc:1
[199] eval-auc:0.678095 train-auc:1
[200] eval-auc:0.678087 train-auc:1
[201] eval-auc:0.678137 train-auc:1
[202] eval-auc:0.678081 train-auc:1
[203] eval-auc:0.677871 train-auc:1
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[205] eval-auc:0.678361 train-auc:1
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[208] eval-auc:0.677949 train-auc:1
[209] eval-auc:0.677562 train-auc:1
[210] eval-auc:0.677557 train-auc:1
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[212] eval-auc:0.677513 train-auc:1
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[220] eval-auc:0.676831 train-auc:1
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[224] eval-auc:0.675943 train-auc:1
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[230] eval-auc:0.675954 train-auc:1
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[250] eval-auc:0.676013 train-auc:1
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[259] eval-auc:0.675072 train-auc:1
[260] eval-auc:0.674836 train-auc:1
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[291] eval-auc:0.677793 train-auc:1
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[310] eval-auc:0.677751 train-auc:1
[311] eval-auc:0.677831 train-auc:1
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[819] eval-auc:0.680146 train-auc:1
[820] eval-auc:0.680146 train-auc:1
[821] eval-auc:0.680146 train-auc:1
[822] eval-auc:0.680146 train-auc:1
[823] eval-auc:0.680213 train-auc:1
[824] eval-auc:0.680213 train-auc:1
[825] eval-auc:0.680213 train-auc:1
[826] eval-auc:0.680213 train-auc:1
[827] eval-auc:0.680213 train-auc:1
[828] eval-auc:0.680213 train-auc:1
[829] eval-auc:0.680213 train-auc:1
[830] eval-auc:0.680213 train-auc:1
[831] eval-auc:0.680211 train-auc:1
[832] eval-auc:0.680341 train-auc:1
[833] eval-auc:0.680341 train-auc:1
[834] eval-auc:0.680341 train-auc:1
[835] eval-auc:0.680149 train-auc:1
[836] eval-auc:0.68019 train-auc:1
[837] eval-auc:0.68019 train-auc:1
[838] eval-auc:0.68019 train-auc:1
[839] eval-auc:0.68019 train-auc:1
[840] eval-auc:0.68019 train-auc:1
[841] eval-auc:0.68019 train-auc:1
[842] eval-auc:0.68019 train-auc:1
[843] eval-auc:0.68019 train-auc:1
[844] eval-auc:0.68019 train-auc:1
[845] eval-auc:0.680109 train-auc:1
[846] eval-auc:0.680109 train-auc:1
[847] eval-auc:0.680179 train-auc:1
[848] eval-auc:0.680317 train-auc:1
[849] eval-auc:0.680317 train-auc:1
[850] eval-auc:0.680317 train-auc:1
[851] eval-auc:0.680317 train-auc:1
[852] eval-auc:0.680498 train-auc:1
[853] eval-auc:0.680581 train-auc:1
[854] eval-auc:0.680581 train-auc:1
[855] eval-auc:0.680581 train-auc:1
[856] eval-auc:0.680581 train-auc:1
[857] eval-auc:0.680581 train-auc:1
[858] eval-auc:0.680581 train-auc:1
[859] eval-auc:0.680581 train-auc:1
[860] eval-auc:0.68031 train-auc:1
[861] eval-auc:0.68031 train-auc:1
[862] eval-auc:0.68031 train-auc:1
[863] eval-auc:0.68031 train-auc:1
[864] eval-auc:0.680423 train-auc:1
[865] eval-auc:0.680499 train-auc:1
[866] eval-auc:0.680499 train-auc:1
[867] eval-auc:0.680499 train-auc:1
[868] eval-auc:0.680144 train-auc:1
[869] eval-auc:0.68008 train-auc:1
[870] eval-auc:0.68008 train-auc:1
[871] eval-auc:0.68008 train-auc:1
[872] eval-auc:0.68008 train-auc:1
[873] eval-auc:0.68008 train-auc:1
[874] eval-auc:0.680278 train-auc:1
[875] eval-auc:0.680278 train-auc:1
[876] eval-auc:0.680278 train-auc:1
[877] eval-auc:0.680278 train-auc:1
[878] eval-auc:0.680288 train-auc:1
[879] eval-auc:0.680288 train-auc:1
[880] eval-auc:0.680166 train-auc:1
[881] eval-auc:0.680076 train-auc:1
[882] eval-auc:0.680076 train-auc:1
[883] eval-auc:0.680076 train-auc:1
[884] eval-auc:0.680044 train-auc:1
[885] eval-auc:0.680044 train-auc:1
[886] eval-auc:0.680044 train-auc:1
[887] eval-auc:0.679847 train-auc:1
[888] eval-auc:0.679847 train-auc:1
[889] eval-auc:0.679847 train-auc:1
[890] eval-auc:0.679847 train-auc:1
[891] eval-auc:0.67948 train-auc:1
[892] eval-auc:0.67948 train-auc:1
[893] eval-auc:0.67948 train-auc:1
[894] eval-auc:0.67948 train-auc:1
[895] eval-auc:0.679442 train-auc:1
[896] eval-auc:0.679442 train-auc:1
Score 0.6794424344309226
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 1.0, 'eta': 0.1, 'eval_metric': 'auc', 'gamma': 0.6000000000000001, 'max_depth': 3, 'min_child_weight': 3.0, 'n_estimators': 595.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.75, 'tree_method': 'exact'}
[0] eval-auc:0.694407 train-auc:0.726141
[1] eval-auc:0.699577 train-auc:0.735219
[2] eval-auc:0.68708 train-auc:0.74144
[3] eval-auc:0.689741 train-auc:0.748054
[4] eval-auc:0.696757 train-auc:0.751627
[5] eval-auc:0.696923 train-auc:0.753965
[6] eval-auc:0.697641 train-auc:0.756476
[7] eval-auc:0.702353 train-auc:0.755584
[8] eval-auc:0.699889 train-auc:0.756775
[9] eval-auc:0.701291 train-auc:0.76356
[10] eval-auc:0.702767 train-auc:0.764939
[11] eval-auc:0.704954 train-auc:0.766352
[12] eval-auc:0.708545 train-auc:0.769285
[13] eval-auc:0.70942 train-auc:0.769753
[14] eval-auc:0.710385 train-auc:0.76994
[15] eval-auc:0.70959 train-auc:0.769541
[16] eval-auc:0.710081 train-auc:0.771032
[17] eval-auc:0.707913 train-auc:0.77217
[18] eval-auc:0.710883 train-auc:0.773747
[19] eval-auc:0.706504 train-auc:0.774655
[20] eval-auc:0.707856 train-auc:0.775788
[21] eval-auc:0.708167 train-auc:0.776666
[22] eval-auc:0.708194 train-auc:0.778484
[23] eval-auc:0.706204 train-auc:0.780267
[24] eval-auc:0.707573 train-auc:0.781852
[25] eval-auc:0.708182 train-auc:0.78317
[26] eval-auc:0.706515 train-auc:0.782214
[27] eval-auc:0.706761 train-auc:0.782804
[28] eval-auc:0.707366 train-auc:0.78215
[29] eval-auc:0.707431 train-auc:0.782187
[30] eval-auc:0.709567 train-auc:0.785754
[31] eval-auc:0.709819 train-auc:0.787867
[32] eval-auc:0.711606 train-auc:0.791985
[33] eval-auc:0.713742 train-auc:0.795686
[34] eval-auc:0.713382 train-auc:0.796908
[35] eval-auc:0.712784 train-auc:0.799118
[36] eval-auc:0.712332 train-auc:0.801513
[37] eval-auc:0.712117 train-auc:0.802112
[38] eval-auc:0.712411 train-auc:0.802513
[39] eval-auc:0.712034 train-auc:0.804139
[40] eval-auc:0.711501 train-auc:0.804328
[41] eval-auc:0.710373 train-auc:0.805745
[42] eval-auc:0.710111 train-auc:0.806113
[43] eval-auc:0.709931 train-auc:0.8063
[44] eval-auc:0.710111 train-auc:0.806228
[45] eval-auc:0.711057 train-auc:0.808858
[46] eval-auc:0.711086 train-auc:0.809429
[47] eval-auc:0.711789 train-auc:0.809424
[48] eval-auc:0.71115 train-auc:0.810815
[49] eval-auc:0.713056 train-auc:0.812818
[50] eval-auc:0.712797 train-auc:0.813436
[51] eval-auc:0.712394 train-auc:0.815419
[52] eval-auc:0.713901 train-auc:0.816002
[53] eval-auc:0.714736 train-auc:0.817828
[54] eval-auc:0.71473 train-auc:0.818669
[55] eval-auc:0.714579 train-auc:0.819976
[56] eval-auc:0.715556 train-auc:0.821584
[57] eval-auc:0.715955 train-auc:0.822131
[58] eval-auc:0.715956 train-auc:0.822441
[59] eval-auc:0.715992 train-auc:0.824248
[60] eval-auc:0.716232 train-auc:0.826399
[61] eval-auc:0.717162 train-auc:0.827652
[62] eval-auc:0.71708 train-auc:0.827436
[63] eval-auc:0.717908 train-auc:0.82973
[64] eval-auc:0.718569 train-auc:0.830573
[65] eval-auc:0.718038 train-auc:0.830055
[66] eval-auc:0.717849 train-auc:0.831336
[67] eval-auc:0.71803 train-auc:0.833802
[68] eval-auc:0.719431 train-auc:0.83528
[69] eval-auc:0.718539 train-auc:0.836394
[70] eval-auc:0.716794 train-auc:0.837968
[71] eval-auc:0.718269 train-auc:0.839418
[72] eval-auc:0.71648 train-auc:0.840683
[73] eval-auc:0.717321 train-auc:0.841008
[74] eval-auc:0.716582 train-auc:0.842993
[75] eval-auc:0.717341 train-auc:0.844825
[76] eval-auc:0.718418 train-auc:0.845205
[77] eval-auc:0.717885 train-auc:0.846385
[78] eval-auc:0.715845 train-auc:0.848565
[79] eval-auc:0.716008 train-auc:0.848992
[80] eval-auc:0.716527 train-auc:0.84961
[81] eval-auc:0.716539 train-auc:0.849826
[82] eval-auc:0.716194 train-auc:0.850121
[83] eval-auc:0.716334 train-auc:0.850512
[84] eval-auc:0.716718 train-auc:0.851126
[85] eval-auc:0.716957 train-auc:0.852151
[86] eval-auc:0.715853 train-auc:0.853444
[87] eval-auc:0.714781 train-auc:0.853967
[88] eval-auc:0.713307 train-auc:0.854745
[89] eval-auc:0.712431 train-auc:0.85598
[90] eval-auc:0.712396 train-auc:0.856327
[91] eval-auc:0.712 train-auc:0.856721
[92] eval-auc:0.712219 train-auc:0.857787
[93] eval-auc:0.712292 train-auc:0.858446
[94] eval-auc:0.712404 train-auc:0.859256
[95] eval-auc:0.711845 train-auc:0.860362
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[100] eval-auc:0.712481 train-auc:0.863895
[101] eval-auc:0.71152 train-auc:0.864987
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[103] eval-auc:0.712509 train-auc:0.866773
[104] eval-auc:0.713042 train-auc:0.868229
[105] eval-auc:0.712402 train-auc:0.868714
[106] eval-auc:0.71211 train-auc:0.869706
[107] eval-auc:0.71241 train-auc:0.87079
[108] eval-auc:0.712789 train-auc:0.871364
[109] eval-auc:0.712509 train-auc:0.87148
[110] eval-auc:0.71286 train-auc:0.87205
[111] eval-auc:0.712483 train-auc:0.872067
[112] eval-auc:0.712885 train-auc:0.873101
[113] eval-auc:0.712847 train-auc:0.873519
[114] eval-auc:0.712553 train-auc:0.873476
[115] eval-auc:0.712586 train-auc:0.875307
[116] eval-auc:0.712104 train-auc:0.875635
[117] eval-auc:0.712433 train-auc:0.877515
[118] eval-auc:0.711928 train-auc:0.87745
[119] eval-auc:0.712262 train-auc:0.878505
[120] eval-auc:0.712318 train-auc:0.878728
[121] eval-auc:0.712493 train-auc:0.879412
[122] eval-auc:0.712436 train-auc:0.879676
[123] eval-auc:0.712768 train-auc:0.880622
[124] eval-auc:0.712072 train-auc:0.880993
[125] eval-auc:0.712178 train-auc:0.880475
[126] eval-auc:0.712423 train-auc:0.881058
[127] eval-auc:0.712442 train-auc:0.881213
[128] eval-auc:0.711793 train-auc:0.881488
[129] eval-auc:0.712321 train-auc:0.882237
[130] eval-auc:0.71176 train-auc:0.882287
[131] eval-auc:0.711143 train-auc:0.883463
[132] eval-auc:0.711033 train-auc:0.884237
[133] eval-auc:0.710703 train-auc:0.884741
[134] eval-auc:0.710226 train-auc:0.885252
[135] eval-auc:0.709958 train-auc:0.885482
[136] eval-auc:0.709629 train-auc:0.886677
[137] eval-auc:0.709127 train-auc:0.88684
[138] eval-auc:0.708222 train-auc:0.88723
[139] eval-auc:0.708172 train-auc:0.887524
[140] eval-auc:0.708661 train-auc:0.888471
[141] eval-auc:0.708478 train-auc:0.888935
[142] eval-auc:0.708431 train-auc:0.889242
[143] eval-auc:0.708374 train-auc:0.889846
[144] eval-auc:0.708231 train-auc:0.890167
[145] eval-auc:0.708537 train-auc:0.890268
[146] eval-auc:0.708271 train-auc:0.890941
[147] eval-auc:0.707936 train-auc:0.891311
[148] eval-auc:0.707712 train-auc:0.892159
[149] eval-auc:0.707901 train-auc:0.892288
[150] eval-auc:0.708344 train-auc:0.89349
[151] eval-auc:0.708239 train-auc:0.894662
[152] eval-auc:0.707773 train-auc:0.894817
[153] eval-auc:0.707309 train-auc:0.895714
[154] eval-auc:0.707108 train-auc:0.896045
[155] eval-auc:0.707417 train-auc:0.896345
[156] eval-auc:0.707948 train-auc:0.89693
[157] eval-auc:0.707744 train-auc:0.897524
[158] eval-auc:0.707834 train-auc:0.898272
[159] eval-auc:0.70777 train-auc:0.898674
[160] eval-auc:0.707697 train-auc:0.899014
[161] eval-auc:0.707618 train-auc:0.899205
[162] eval-auc:0.70782 train-auc:0.899891
[163] eval-auc:0.706765 train-auc:0.90071
[164] eval-auc:0.706858 train-auc:0.901481
[165] eval-auc:0.706782 train-auc:0.901112
[166] eval-auc:0.707103 train-auc:0.901087
[167] eval-auc:0.706937 train-auc:0.901623
[168] eval-auc:0.707542 train-auc:0.901465
[169] eval-auc:0.707558 train-auc:0.901493
[170] eval-auc:0.707561 train-auc:0.901668
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[172] eval-auc:0.708845 train-auc:0.902942
[173] eval-auc:0.708772 train-auc:0.903663
[174] eval-auc:0.708767 train-auc:0.904406
[175] eval-auc:0.708642 train-auc:0.904835
[176] eval-auc:0.708565 train-auc:0.905871
[177] eval-auc:0.708658 train-auc:0.905976
[178] eval-auc:0.708775 train-auc:0.90646
[179] eval-auc:0.708245 train-auc:0.907011
[180] eval-auc:0.708413 train-auc:0.907782
[181] eval-auc:0.708178 train-auc:0.908208
[182] eval-auc:0.707916 train-auc:0.908333
[183] eval-auc:0.707503 train-auc:0.908416
[184] eval-auc:0.707299 train-auc:0.908227
[185] eval-auc:0.706891 train-auc:0.908329
[186] eval-auc:0.706779 train-auc:0.908481
[187] eval-auc:0.706823 train-auc:0.909392
[188] eval-auc:0.705873 train-auc:0.909818
[189] eval-auc:0.706014 train-auc:0.910507
[190] eval-auc:0.706157 train-auc:0.910628
[191] eval-auc:0.705592 train-auc:0.911621
[192] eval-auc:0.705605 train-auc:0.911406
[193] eval-auc:0.705653 train-auc:0.911401
[194] eval-auc:0.70562 train-auc:0.911694
[195] eval-auc:0.705262 train-auc:0.912008
[196] eval-auc:0.705131 train-auc:0.912886
[197] eval-auc:0.705483 train-auc:0.913355
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[202] eval-auc:0.705541 train-auc:0.915582
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[215] eval-auc:0.706122 train-auc:0.920169
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[230] eval-auc:0.705364 train-auc:0.925236
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[234] eval-auc:0.705758 train-auc:0.92634
[235] eval-auc:0.705565 train-auc:0.92629
[236] eval-auc:0.706122 train-auc:0.926359
[237] eval-auc:0.706572 train-auc:0.926509
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[241] eval-auc:0.706412 train-auc:0.92745
[242] eval-auc:0.70645 train-auc:0.927364
[243] eval-auc:0.707292 train-auc:0.927557
[244] eval-auc:0.707162 train-auc:0.927566
[245] eval-auc:0.70666 train-auc:0.927479
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[250] eval-auc:0.706355 train-auc:0.92774
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[260] eval-auc:0.707137 train-auc:0.930438
[261] eval-auc:0.707237 train-auc:0.93048
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[263] eval-auc:0.707519 train-auc:0.93095
[264] eval-auc:0.707857 train-auc:0.931324
[265] eval-auc:0.708023 train-auc:0.931751
[266] eval-auc:0.707654 train-auc:0.931851
[267] eval-auc:0.708186 train-auc:0.931999
[268] eval-auc:0.707845 train-auc:0.932635
[269] eval-auc:0.707336 train-auc:0.932948
[270] eval-auc:0.707176 train-auc:0.933061
[271] eval-auc:0.707475 train-auc:0.933308
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[276] eval-auc:0.707704 train-auc:0.934003
[277] eval-auc:0.7084 train-auc:0.934237
[278] eval-auc:0.707563 train-auc:0.934309
[279] eval-auc:0.707837 train-auc:0.934475
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[283] eval-auc:0.708003 train-auc:0.934947
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[285] eval-auc:0.70738 train-auc:0.935335
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[287] eval-auc:0.707284 train-auc:0.935753
[288] eval-auc:0.707922 train-auc:0.936039
[289] eval-auc:0.708024 train-auc:0.936671
[290] eval-auc:0.708073 train-auc:0.93684
[291] eval-auc:0.708061 train-auc:0.937155
[292] eval-auc:0.70824 train-auc:0.936915
[293] eval-auc:0.707978 train-auc:0.937235
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[295] eval-auc:0.708237 train-auc:0.938219
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[360] eval-auc:0.701169 train-auc:0.951508
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[400] eval-auc:0.700612 train-auc:0.957041
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[407] eval-auc:0.700607 train-auc:0.958685
[408] eval-auc:0.700191 train-auc:0.958782
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[410] eval-auc:0.70019 train-auc:0.958602
[411] eval-auc:0.700143 train-auc:0.958848
[412] eval-auc:0.699745 train-auc:0.959187
[413] eval-auc:0.699628 train-auc:0.959163
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[415] eval-auc:0.699061 train-auc:0.959124
[416] eval-auc:0.698892 train-auc:0.959377
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[418] eval-auc:0.699419 train-auc:0.959678
[419] eval-auc:0.6993 train-auc:0.959961
[420] eval-auc:0.699229 train-auc:0.960055
[421] eval-auc:0.699233 train-auc:0.960249
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[423] eval-auc:0.698865 train-auc:0.960528
[424] eval-auc:0.698905 train-auc:0.960544
[425] eval-auc:0.69888 train-auc:0.960564
[426] eval-auc:0.698965 train-auc:0.960822
[427] eval-auc:0.699131 train-auc:0.960963
[428] eval-auc:0.699144 train-auc:0.961158
[429] eval-auc:0.699177 train-auc:0.961299
[430] eval-auc:0.699565 train-auc:0.961402
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[434] eval-auc:0.699444 train-auc:0.961727
[435] eval-auc:0.699418 train-auc:0.961855
[436] eval-auc:0.699856 train-auc:0.962137
[437] eval-auc:0.699899 train-auc:0.962206
[438] eval-auc:0.700139 train-auc:0.962446
[439] eval-auc:0.699788 train-auc:0.962368
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[442] eval-auc:0.699841 train-auc:0.962446
[443] eval-auc:0.700057 train-auc:0.962674
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[445] eval-auc:0.69992 train-auc:0.962901
[446] eval-auc:0.700048 train-auc:0.962804
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[448] eval-auc:0.700164 train-auc:0.962916
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[450] eval-auc:0.700065 train-auc:0.96315
[451] eval-auc:0.700161 train-auc:0.963085
[452] eval-auc:0.700254 train-auc:0.962862
[453] eval-auc:0.700368 train-auc:0.963014
[454] eval-auc:0.700523 train-auc:0.963019
[455] eval-auc:0.700513 train-auc:0.96324
[456] eval-auc:0.700016 train-auc:0.963439
[457] eval-auc:0.699798 train-auc:0.963417
[458] eval-auc:0.700161 train-auc:0.963516
[459] eval-auc:0.700178 train-auc:0.963684
[460] eval-auc:0.700293 train-auc:0.96379
[461] eval-auc:0.700607 train-auc:0.9638
[462] eval-auc:0.700557 train-auc:0.96377
[463] eval-auc:0.700327 train-auc:0.964018
[464] eval-auc:0.700566 train-auc:0.964218
[465] eval-auc:0.700479 train-auc:0.964463
[466] eval-auc:0.700628 train-auc:0.96431
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[468] eval-auc:0.700554 train-auc:0.964329
[469] eval-auc:0.70059 train-auc:0.964243
[470] eval-auc:0.700555 train-auc:0.964406
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[485] eval-auc:0.700781 train-auc:0.966777
[486] eval-auc:0.700857 train-auc:0.967012
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[488] eval-auc:0.700701 train-auc:0.967295
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[491] eval-auc:0.700482 train-auc:0.967485
[492] eval-auc:0.700202 train-auc:0.967653
[493] eval-auc:0.700079 train-auc:0.96772
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[495] eval-auc:0.700397 train-auc:0.968013
[496] eval-auc:0.700608 train-auc:0.968117
[497] eval-auc:0.700712 train-auc:0.968184
[498] eval-auc:0.700517 train-auc:0.968294
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[500] eval-auc:0.70026 train-auc:0.968445
[501] eval-auc:0.699987 train-auc:0.968658
[502] eval-auc:0.699998 train-auc:0.968704
[503] eval-auc:0.699608 train-auc:0.968704
[504] eval-auc:0.699546 train-auc:0.968776
[505] eval-auc:0.700045 train-auc:0.968772
[506] eval-auc:0.699512 train-auc:0.968663
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[508] eval-auc:0.699838 train-auc:0.969097
[509] eval-auc:0.699413 train-auc:0.969157
[510] eval-auc:0.699876 train-auc:0.969381
[511] eval-auc:0.699477 train-auc:0.969558
[512] eval-auc:0.699565 train-auc:0.969438
[513] eval-auc:0.699956 train-auc:0.969709
[514] eval-auc:0.700126 train-auc:0.969839
[515] eval-auc:0.700223 train-auc:0.969936
[516] eval-auc:0.699529 train-auc:0.970161
[517] eval-auc:0.699795 train-auc:0.970258
[518] eval-auc:0.699246 train-auc:0.970252
[519] eval-auc:0.699043 train-auc:0.970458
[520] eval-auc:0.698953 train-auc:0.970377
[521] eval-auc:0.698879 train-auc:0.970461
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[523] eval-auc:0.698629 train-auc:0.970549
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[525] eval-auc:0.698915 train-auc:0.970704
[526] eval-auc:0.698972 train-auc:0.97082
[527] eval-auc:0.699424 train-auc:0.97098
[528] eval-auc:0.699533 train-auc:0.970958
[529] eval-auc:0.699669 train-auc:0.971017
[530] eval-auc:0.700199 train-auc:0.971236
[531] eval-auc:0.700293 train-auc:0.971239
[532] eval-auc:0.700289 train-auc:0.971369
[533] eval-auc:0.700124 train-auc:0.97128
[534] eval-auc:0.700403 train-auc:0.971495
[535] eval-auc:0.700703 train-auc:0.971526
[536] eval-auc:0.700968 train-auc:0.971637
[537] eval-auc:0.70095 train-auc:0.971764
[538] eval-auc:0.700965 train-auc:0.971955
[539] eval-auc:0.70117 train-auc:0.971936
[540] eval-auc:0.701128 train-auc:0.972114
[541] eval-auc:0.701071 train-auc:0.972058
[542] eval-auc:0.701475 train-auc:0.972133
[543] eval-auc:0.701618 train-auc:0.972347
[544] eval-auc:0.701 train-auc:0.972354
[545] eval-auc:0.701636 train-auc:0.972504
[546] eval-auc:0.701636 train-auc:0.972619
[547] eval-auc:0.701814 train-auc:0.972725
[548] eval-auc:0.701661 train-auc:0.972872
[549] eval-auc:0.701783 train-auc:0.972925
[550] eval-auc:0.701624 train-auc:0.972883
[551] eval-auc:0.701677 train-auc:0.972887
[552] eval-auc:0.701384 train-auc:0.973051
[553] eval-auc:0.701419 train-auc:0.973198
[554] eval-auc:0.701441 train-auc:0.973369
[555] eval-auc:0.701419 train-auc:0.973288
[556] eval-auc:0.701461 train-auc:0.973215
[557] eval-auc:0.701443 train-auc:0.973274
[558] eval-auc:0.70155 train-auc:0.973273
[559] eval-auc:0.701537 train-auc:0.973313
[560] eval-auc:0.701455 train-auc:0.973279
[561] eval-auc:0.701629 train-auc:0.973302
[562] eval-auc:0.70155 train-auc:0.973221
[563] eval-auc:0.701947 train-auc:0.973333
[564] eval-auc:0.702312 train-auc:0.973419
[565] eval-auc:0.702585 train-auc:0.973483
[566] eval-auc:0.702716 train-auc:0.973618
[567] eval-auc:0.70263 train-auc:0.973744
[568] eval-auc:0.702965 train-auc:0.973815
[569] eval-auc:0.70282 train-auc:0.973868
[570] eval-auc:0.70313 train-auc:0.973733
[571] eval-auc:0.703066 train-auc:0.97377
[572] eval-auc:0.702803 train-auc:0.973686
[573] eval-auc:0.70304 train-auc:0.973741
[574] eval-auc:0.702672 train-auc:0.973908
[575] eval-auc:0.702833 train-auc:0.973971
[576] eval-auc:0.702934 train-auc:0.974069
[577] eval-auc:0.702842 train-auc:0.974306
[578] eval-auc:0.702711 train-auc:0.974237
[579] eval-auc:0.702702 train-auc:0.974274
[580] eval-auc:0.702701 train-auc:0.974363
[581] eval-auc:0.702813 train-auc:0.974506
[582] eval-auc:0.70304 train-auc:0.974696
[583] eval-auc:0.702361 train-auc:0.974631
[584] eval-auc:0.702564 train-auc:0.974702
[585] eval-auc:0.702465 train-auc:0.974762
[586] eval-auc:0.702614 train-auc:0.974992
[587] eval-auc:0.702821 train-auc:0.975159
[588] eval-auc:0.702792 train-auc:0.975134
[589] eval-auc:0.702685 train-auc:0.975148
[590] eval-auc:0.702646 train-auc:0.975268
[591] eval-auc:0.702347 train-auc:0.975288
[592] eval-auc:0.702067 train-auc:0.975453
[593] eval-auc:0.701953 train-auc:0.975403
[594] eval-auc:0.701837 train-auc:0.97555
Score 0.7018373350875271
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8500000000000001, 'eta': 0.375, 'eval_metric': 'auc', 'gamma': 0.7000000000000001, 'max_depth': 2, 'min_child_weight': 5.0, 'n_estimators': 656.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9, 'tree_method': 'exact'}
[0] eval-auc:0.673761 train-auc:0.684105
[1] eval-auc:0.669415 train-auc:0.693334
[2] eval-auc:0.695906 train-auc:0.712089
[3] eval-auc:0.700427 train-auc:0.717702
[4] eval-auc:0.699322 train-auc:0.716583
[5] eval-auc:0.693519 train-auc:0.711774
[6] eval-auc:0.699039 train-auc:0.717158
[7] eval-auc:0.698456 train-auc:0.722051
[8] eval-auc:0.702606 train-auc:0.728863
[9] eval-auc:0.704361 train-auc:0.731096
[10] eval-auc:0.70044 train-auc:0.730673
[11] eval-auc:0.699455 train-auc:0.729653
[12] eval-auc:0.701424 train-auc:0.734763
[13] eval-auc:0.703932 train-auc:0.736443
[14] eval-auc:0.704192 train-auc:0.737061
[15] eval-auc:0.704827 train-auc:0.737775
[16] eval-auc:0.709428 train-auc:0.743408
[17] eval-auc:0.710019 train-auc:0.745728
[18] eval-auc:0.71054 train-auc:0.746547
[19] eval-auc:0.710282 train-auc:0.7473
[20] eval-auc:0.709895 train-auc:0.746537
[21] eval-auc:0.710642 train-auc:0.74833
[22] eval-auc:0.705915 train-auc:0.751166
[23] eval-auc:0.708784 train-auc:0.75363
[24] eval-auc:0.706812 train-auc:0.756633
[25] eval-auc:0.707327 train-auc:0.76019
[26] eval-auc:0.708144 train-auc:0.762301
[27] eval-auc:0.711553 train-auc:0.7639
[28] eval-auc:0.711858 train-auc:0.764015
[29] eval-auc:0.71085 train-auc:0.764146
[30] eval-auc:0.711833 train-auc:0.766527
[31] eval-auc:0.712307 train-auc:0.7692
[32] eval-auc:0.710503 train-auc:0.772085
[33] eval-auc:0.710917 train-auc:0.773213
[34] eval-auc:0.710195 train-auc:0.774173
[35] eval-auc:0.709267 train-auc:0.775812
[36] eval-auc:0.709928 train-auc:0.778052
[37] eval-auc:0.712793 train-auc:0.78085
[38] eval-auc:0.713241 train-auc:0.781449
[39] eval-auc:0.711642 train-auc:0.783653
[40] eval-auc:0.712218 train-auc:0.78543
[41] eval-auc:0.712034 train-auc:0.785384
[42] eval-auc:0.711543 train-auc:0.787698
[43] eval-auc:0.710509 train-auc:0.789591
[44] eval-auc:0.711788 train-auc:0.79027
[45] eval-auc:0.713097 train-auc:0.788877
[46] eval-auc:0.71242 train-auc:0.789407
[47] eval-auc:0.713179 train-auc:0.791808
[48] eval-auc:0.711466 train-auc:0.792789
[49] eval-auc:0.711555 train-auc:0.794161
[50] eval-auc:0.711772 train-auc:0.795056
[51] eval-auc:0.710742 train-auc:0.79578
[52] eval-auc:0.711119 train-auc:0.798222
[53] eval-auc:0.712303 train-auc:0.799558
[54] eval-auc:0.710849 train-auc:0.800296
[55] eval-auc:0.7105 train-auc:0.802293
[56] eval-auc:0.710214 train-auc:0.804235
[57] eval-auc:0.709772 train-auc:0.804606
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[426] eval-auc:0.691222 train-auc:0.935256
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[450] eval-auc:0.687009 train-auc:0.937178
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[458] eval-auc:0.687246 train-auc:0.937734
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[460] eval-auc:0.686615 train-auc:0.938047
[461] eval-auc:0.686892 train-auc:0.938536
[462] eval-auc:0.68717 train-auc:0.938449
[463] eval-auc:0.686797 train-auc:0.938671
[464] eval-auc:0.687449 train-auc:0.938738
[465] eval-auc:0.687263 train-auc:0.938827
[466] eval-auc:0.686473 train-auc:0.938857
[467] eval-auc:0.686086 train-auc:0.939262
[468] eval-auc:0.686767 train-auc:0.939362
[469] eval-auc:0.687344 train-auc:0.93922
[470] eval-auc:0.687853 train-auc:0.939367
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[472] eval-auc:0.68777 train-auc:0.939531
[473] eval-auc:0.687723 train-auc:0.939665
[474] eval-auc:0.687843 train-auc:0.940124
[475] eval-auc:0.687376 train-auc:0.940147
[476] eval-auc:0.687705 train-auc:0.940365
[477] eval-auc:0.687961 train-auc:0.940851
[478] eval-auc:0.688524 train-auc:0.941057
[479] eval-auc:0.687604 train-auc:0.941315
[480] eval-auc:0.687484 train-auc:0.941298
[481] eval-auc:0.687737 train-auc:0.941441
[482] eval-auc:0.687516 train-auc:0.941486
[483] eval-auc:0.687551 train-auc:0.941323
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[485] eval-auc:0.687379 train-auc:0.941431
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[488] eval-auc:0.687476 train-auc:0.941995
[489] eval-auc:0.6873 train-auc:0.942163
[490] eval-auc:0.686886 train-auc:0.942114
[491] eval-auc:0.686167 train-auc:0.942127
[492] eval-auc:0.686147 train-auc:0.94216
[493] eval-auc:0.686369 train-auc:0.942326
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[497] eval-auc:0.685821 train-auc:0.942268
[498] eval-auc:0.684664 train-auc:0.942091
[499] eval-auc:0.685182 train-auc:0.942405
[500] eval-auc:0.685986 train-auc:0.942146
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[514] eval-auc:0.685431 train-auc:0.94436
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[516] eval-auc:0.684614 train-auc:0.944644
[517] eval-auc:0.685332 train-auc:0.944893
[518] eval-auc:0.68483 train-auc:0.944826
[519] eval-auc:0.684967 train-auc:0.94497
[520] eval-auc:0.684735 train-auc:0.944981
[521] eval-auc:0.685005 train-auc:0.945313
[522] eval-auc:0.685425 train-auc:0.945504
[523] eval-auc:0.685862 train-auc:0.945381
[524] eval-auc:0.686211 train-auc:0.945578
[525] eval-auc:0.686311 train-auc:0.945774
[526] eval-auc:0.686129 train-auc:0.945906
[527] eval-auc:0.686412 train-auc:0.946095
[528] eval-auc:0.686129 train-auc:0.946325
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[536] eval-auc:0.685917 train-auc:0.947072
[537] eval-auc:0.686018 train-auc:0.946968
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[543] eval-auc:0.686951 train-auc:0.947595
[544] eval-auc:0.687039 train-auc:0.94772
[545] eval-auc:0.686677 train-auc:0.947665
[546] eval-auc:0.686831 train-auc:0.9478
[547] eval-auc:0.687336 train-auc:0.947942
[548] eval-auc:0.686954 train-auc:0.948058
[549] eval-auc:0.686966 train-auc:0.948092
[550] eval-auc:0.686978 train-auc:0.948289
[551] eval-auc:0.68675 train-auc:0.948474
[552] eval-auc:0.687358 train-auc:0.948822
[553] eval-auc:0.687003 train-auc:0.948967
[554] eval-auc:0.68698 train-auc:0.949057
[555] eval-auc:0.687472 train-auc:0.949362
[556] eval-auc:0.687996 train-auc:0.949464
[557] eval-auc:0.688037 train-auc:0.949499
[558] eval-auc:0.687527 train-auc:0.949708
[559] eval-auc:0.68816 train-auc:0.949909
[560] eval-auc:0.686844 train-auc:0.949858
[561] eval-auc:0.687754 train-auc:0.950037
[562] eval-auc:0.688253 train-auc:0.9498
[563] eval-auc:0.688223 train-auc:0.949961
[564] eval-auc:0.688294 train-auc:0.949882
[565] eval-auc:0.688594 train-auc:0.949949
[566] eval-auc:0.688906 train-auc:0.949792
[567] eval-auc:0.689224 train-auc:0.949749
[568] eval-auc:0.689531 train-auc:0.949866
[569] eval-auc:0.689386 train-auc:0.950111
[570] eval-auc:0.688836 train-auc:0.950045
[571] eval-auc:0.688582 train-auc:0.950081
[572] eval-auc:0.687723 train-auc:0.950283
[573] eval-auc:0.68765 train-auc:0.950431
[574] eval-auc:0.68813 train-auc:0.950572
[575] eval-auc:0.688908 train-auc:0.950726
[576] eval-auc:0.688932 train-auc:0.950729
[577] eval-auc:0.689319 train-auc:0.951029
[578] eval-auc:0.689686 train-auc:0.950746
[579] eval-auc:0.688867 train-auc:0.950751
[580] eval-auc:0.688823 train-auc:0.950776
[581] eval-auc:0.687708 train-auc:0.950928
[582] eval-auc:0.686607 train-auc:0.951049
[583] eval-auc:0.687228 train-auc:0.951088
[584] eval-auc:0.687562 train-auc:0.951034
[585] eval-auc:0.687955 train-auc:0.951026
[586] eval-auc:0.68786 train-auc:0.951052
[587] eval-auc:0.688507 train-auc:0.951341
[588] eval-auc:0.687507 train-auc:0.951159
[589] eval-auc:0.6883 train-auc:0.951289
[590] eval-auc:0.68853 train-auc:0.951404
[591] eval-auc:0.68835 train-auc:0.95147
[592] eval-auc:0.687071 train-auc:0.951419
[593] eval-auc:0.687035 train-auc:0.951558
[594] eval-auc:0.687327 train-auc:0.951622
[595] eval-auc:0.687015 train-auc:0.951653
[596] eval-auc:0.686838 train-auc:0.951661
[597] eval-auc:0.686436 train-auc:0.95163
[598] eval-auc:0.6859 train-auc:0.951777
[599] eval-auc:0.685926 train-auc:0.952026
[600] eval-auc:0.686299 train-auc:0.952355
[601] eval-auc:0.686604 train-auc:0.952576
[602] eval-auc:0.685908 train-auc:0.952686
[603] eval-auc:0.685893 train-auc:0.952804
[604] eval-auc:0.685948 train-auc:0.953284
[605] eval-auc:0.685442 train-auc:0.953371
[606] eval-auc:0.685632 train-auc:0.953445
[607] eval-auc:0.685402 train-auc:0.953461
[608] eval-auc:0.686079 train-auc:0.953607
[609] eval-auc:0.685191 train-auc:0.953511
[610] eval-auc:0.684923 train-auc:0.953711
[611] eval-auc:0.684677 train-auc:0.953648
[612] eval-auc:0.68481 train-auc:0.953744
[613] eval-auc:0.68435 train-auc:0.953847
[614] eval-auc:0.684612 train-auc:0.953875
[615] eval-auc:0.684886 train-auc:0.954309
[616] eval-auc:0.685351 train-auc:0.954343
[617] eval-auc:0.685077 train-auc:0.954392
[618] eval-auc:0.685249 train-auc:0.954484
[619] eval-auc:0.685096 train-auc:0.954613
[620] eval-auc:0.685166 train-auc:0.954724
[621] eval-auc:0.685204 train-auc:0.95472
[622] eval-auc:0.685235 train-auc:0.954997
[623] eval-auc:0.685553 train-auc:0.954907
[624] eval-auc:0.686401 train-auc:0.954971
[625] eval-auc:0.685931 train-auc:0.95491
[626] eval-auc:0.685952 train-auc:0.955
[627] eval-auc:0.685404 train-auc:0.954917
[628] eval-auc:0.685445 train-auc:0.954954
[629] eval-auc:0.685067 train-auc:0.955029
[630] eval-auc:0.685115 train-auc:0.954977
[631] eval-auc:0.684478 train-auc:0.955068
[632] eval-auc:0.684481 train-auc:0.955305
[633] eval-auc:0.684489 train-auc:0.955364
[634] eval-auc:0.683254 train-auc:0.955414
[635] eval-auc:0.683099 train-auc:0.95558
[636] eval-auc:0.683331 train-auc:0.955684
[637] eval-auc:0.683197 train-auc:0.955821
[638] eval-auc:0.682751 train-auc:0.95577
[639] eval-auc:0.683251 train-auc:0.955838
[640] eval-auc:0.682992 train-auc:0.955905
[641] eval-auc:0.68229 train-auc:0.956235
[642] eval-auc:0.682482 train-auc:0.956405
[643] eval-auc:0.681653 train-auc:0.956656
[644] eval-auc:0.681688 train-auc:0.956527
[645] eval-auc:0.681334 train-auc:0.956646
[646] eval-auc:0.681296 train-auc:0.956766
[647] eval-auc:0.68118 train-auc:0.956747
[648] eval-auc:0.680999 train-auc:0.956762
[649] eval-auc:0.680712 train-auc:0.956813
[650] eval-auc:0.680076 train-auc:0.956796
[651] eval-auc:0.680432 train-auc:0.956829
[652] eval-auc:0.680629 train-auc:0.95697
[653] eval-auc:0.680703 train-auc:0.956968
[654] eval-auc:0.68054 train-auc:0.957075
[655] eval-auc:0.680974 train-auc:0.957153
Score 0.68097430837262
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9, 'eta': 0.30000000000000004, 'eval_metric': 'auc', 'gamma': 0.5, 'max_depth': 11, 'min_child_weight': 3.0, 'n_estimators': 368.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.65, 'tree_method': 'exact'}
[0] eval-auc:0.683709 train-auc:0.817912
[1] eval-auc:0.646528 train-auc:0.851117
[2] eval-auc:0.669903 train-auc:0.895395
[3] eval-auc:0.680299 train-auc:0.925051
[4] eval-auc:0.694938 train-auc:0.94543
[5] eval-auc:0.686095 train-auc:0.960369
[6] eval-auc:0.686835 train-auc:0.96928
[7] eval-auc:0.68658 train-auc:0.974004
[8] eval-auc:0.689537 train-auc:0.980296
[9] eval-auc:0.686361 train-auc:0.982737
[10] eval-auc:0.686378 train-auc:0.986374
[11] eval-auc:0.689863 train-auc:0.98962
[12] eval-auc:0.69006 train-auc:0.99142
[13] eval-auc:0.686866 train-auc:0.99304
[14] eval-auc:0.682476 train-auc:0.995315
[15] eval-auc:0.68167 train-auc:0.996632
[16] eval-auc:0.682051 train-auc:0.997191
[17] eval-auc:0.680285 train-auc:0.997255
[18] eval-auc:0.678807 train-auc:0.997622
[19] eval-auc:0.685846 train-auc:0.998067
[20] eval-auc:0.686505 train-auc:0.998508
[21] eval-auc:0.690616 train-auc:0.998933
[22] eval-auc:0.689307 train-auc:0.99904
[23] eval-auc:0.688046 train-auc:0.999146
[24] eval-auc:0.68719 train-auc:0.999302
[25] eval-auc:0.687565 train-auc:0.99931
[26] eval-auc:0.686829 train-auc:0.999417
[27] eval-auc:0.685657 train-auc:0.99947
[28] eval-auc:0.686532 train-auc:0.999568
[29] eval-auc:0.687064 train-auc:0.999638
[30] eval-auc:0.68709 train-auc:0.999731
[31] eval-auc:0.688413 train-auc:0.999708
[32] eval-auc:0.689282 train-auc:0.999808
[33] eval-auc:0.686375 train-auc:0.999883
[34] eval-auc:0.688095 train-auc:0.999913
[35] eval-auc:0.687408 train-auc:0.999937
[36] eval-auc:0.687985 train-auc:0.999947
[37] eval-auc:0.687685 train-auc:0.999943
[38] eval-auc:0.685914 train-auc:0.999959
[39] eval-auc:0.687344 train-auc:0.99996
[40] eval-auc:0.687821 train-auc:0.999974
[41] eval-auc:0.685841 train-auc:0.999994
[42] eval-auc:0.68561 train-auc:0.999995
[43] eval-auc:0.684097 train-auc:0.999995
[44] eval-auc:0.684129 train-auc:0.999996
[45] eval-auc:0.683933 train-auc:0.999996
[46] eval-auc:0.684064 train-auc:0.999998
[47] eval-auc:0.68363 train-auc:0.999999
[48] eval-auc:0.683233 train-auc:0.999996
[49] eval-auc:0.682896 train-auc:0.999997
[50] eval-auc:0.682333 train-auc:0.999997
[51] eval-auc:0.682639 train-auc:0.999998
[52] eval-auc:0.682243 train-auc:0.999999
[53] eval-auc:0.680208 train-auc:1
[54] eval-auc:0.680842 train-auc:1
[55] eval-auc:0.68009 train-auc:1
[56] eval-auc:0.679022 train-auc:1
[57] eval-auc:0.678294 train-auc:1
[58] eval-auc:0.679988 train-auc:1
[59] eval-auc:0.679424 train-auc:1
[60] eval-auc:0.679507 train-auc:1
[61] eval-auc:0.679896 train-auc:1
[62] eval-auc:0.680496 train-auc:1
[63] eval-auc:0.682855 train-auc:1
[64] eval-auc:0.680868 train-auc:1
[65] eval-auc:0.682281 train-auc:1
[66] eval-auc:0.683493 train-auc:1
[67] eval-auc:0.682651 train-auc:1
[68] eval-auc:0.682783 train-auc:1
[69] eval-auc:0.682273 train-auc:1
[70] eval-auc:0.681885 train-auc:1
[71] eval-auc:0.681184 train-auc:1
[72] eval-auc:0.685046 train-auc:1
[73] eval-auc:0.683109 train-auc:1
[74] eval-auc:0.683009 train-auc:1
[75] eval-auc:0.684672 train-auc:1
[76] eval-auc:0.684874 train-auc:1
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[78] eval-auc:0.684965 train-auc:1
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[80] eval-auc:0.684944 train-auc:1
[81] eval-auc:0.684859 train-auc:1
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[84] eval-auc:0.687297 train-auc:1
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[88] eval-auc:0.686583 train-auc:1
[89] eval-auc:0.687059 train-auc:1
[90] eval-auc:0.687093 train-auc:1
[91] eval-auc:0.686538 train-auc:1
[92] eval-auc:0.685944 train-auc:1
[93] eval-auc:0.688492 train-auc:1
[94] eval-auc:0.688551 train-auc:1
[95] eval-auc:0.686796 train-auc:1
[96] eval-auc:0.687138 train-auc:1
[97] eval-auc:0.686447 train-auc:1
[98] eval-auc:0.68559 train-auc:1
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[100] eval-auc:0.684903 train-auc:1
[101] eval-auc:0.684515 train-auc:1
[102] eval-auc:0.684157 train-auc:1
[103] eval-auc:0.684722 train-auc:1
[104] eval-auc:0.684015 train-auc:1
[105] eval-auc:0.682951 train-auc:1
[106] eval-auc:0.682352 train-auc:1
[107] eval-auc:0.681789 train-auc:1
[108] eval-auc:0.68232 train-auc:1
[109] eval-auc:0.682709 train-auc:1
[110] eval-auc:0.685602 train-auc:1
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[112] eval-auc:0.684764 train-auc:1
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[114] eval-auc:0.684034 train-auc:1
[115] eval-auc:0.684274 train-auc:1
[116] eval-auc:0.683411 train-auc:1
[117] eval-auc:0.68231 train-auc:1
[118] eval-auc:0.681644 train-auc:1
[119] eval-auc:0.682476 train-auc:1
[120] eval-auc:0.68268 train-auc:1
[121] eval-auc:0.683217 train-auc:1
[122] eval-auc:0.683393 train-auc:1
[123] eval-auc:0.684195 train-auc:1
[124] eval-auc:0.684489 train-auc:1
[125] eval-auc:0.684633 train-auc:1
[126] eval-auc:0.68374 train-auc:1
[127] eval-auc:0.683268 train-auc:1
[128] eval-auc:0.683542 train-auc:1
[129] eval-auc:0.68252 train-auc:1
[130] eval-auc:0.682894 train-auc:1
[131] eval-auc:0.682764 train-auc:1
[132] eval-auc:0.683193 train-auc:1
[133] eval-auc:0.682831 train-auc:1
[134] eval-auc:0.682934 train-auc:1
[135] eval-auc:0.683356 train-auc:1
[136] eval-auc:0.683852 train-auc:1
[137] eval-auc:0.684021 train-auc:1
[138] eval-auc:0.683718 train-auc:1
[139] eval-auc:0.684463 train-auc:1
[140] eval-auc:0.683552 train-auc:1
[141] eval-auc:0.683674 train-auc:1
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[324] eval-auc:0.67957 train-auc:1
[325] eval-auc:0.679793 train-auc:1
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[329] eval-auc:0.679762 train-auc:1
[330] eval-auc:0.679828 train-auc:1
[331] eval-auc:0.679922 train-auc:1
[332] eval-auc:0.679779 train-auc:1
[333] eval-auc:0.679675 train-auc:1
[334] eval-auc:0.679675 train-auc:1
[335] eval-auc:0.679784 train-auc:1
[336] eval-auc:0.679653 train-auc:1
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[338] eval-auc:0.679666 train-auc:1
[339] eval-auc:0.679593 train-auc:1
[340] eval-auc:0.679942 train-auc:1
[341] eval-auc:0.679939 train-auc:1
[342] eval-auc:0.680257 train-auc:1
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[344] eval-auc:0.679893 train-auc:1
[345] eval-auc:0.68031 train-auc:1
[346] eval-auc:0.680636 train-auc:1
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[350] eval-auc:0.680109 train-auc:1
[351] eval-auc:0.680451 train-auc:1
[352] eval-auc:0.680451 train-auc:1
[353] eval-auc:0.680635 train-auc:1
[354] eval-auc:0.680479 train-auc:1
[355] eval-auc:0.68049 train-auc:1
[356] eval-auc:0.68049 train-auc:1
[357] eval-auc:0.680469 train-auc:1
[358] eval-auc:0.680572 train-auc:1
[359] eval-auc:0.680572 train-auc:1
[360] eval-auc:0.680572 train-auc:1
[361] eval-auc:0.68021 train-auc:1
[362] eval-auc:0.680271 train-auc:1
[363] eval-auc:0.680438 train-auc:1
[364] eval-auc:0.680438 train-auc:1
[365] eval-auc:0.680487 train-auc:1
[366] eval-auc:0.680487 train-auc:1
[367] eval-auc:0.680082 train-auc:1
Score 0.6800819841878936
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.5, 'eta': 0.05, 'eval_metric': 'auc', 'gamma': 0.9500000000000001, 'max_depth': 6, 'min_child_weight': 4.0, 'n_estimators': 313.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.8500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.53154 train-auc:0.585605
[1] eval-auc:0.661853 train-auc:0.738348
[2] eval-auc:0.644062 train-auc:0.750398
[3] eval-auc:0.647247 train-auc:0.783518
[4] eval-auc:0.650029 train-auc:0.78589
[5] eval-auc:0.651984 train-auc:0.814353
[6] eval-auc:0.661203 train-auc:0.816926
[7] eval-auc:0.658916 train-auc:0.818476
[8] eval-auc:0.665735 train-auc:0.826799
[9] eval-auc:0.666556 train-auc:0.827553
[10] eval-auc:0.668534 train-auc:0.839213
[11] eval-auc:0.666553 train-auc:0.8457
[12] eval-auc:0.670471 train-auc:0.850791
[13] eval-auc:0.672968 train-auc:0.850232
[14] eval-auc:0.675961 train-auc:0.84924
[15] eval-auc:0.678118 train-auc:0.856421
[16] eval-auc:0.677856 train-auc:0.85938
[17] eval-auc:0.685172 train-auc:0.863594
[18] eval-auc:0.682264 train-auc:0.869446
[19] eval-auc:0.692093 train-auc:0.881072
[20] eval-auc:0.692538 train-auc:0.880561
[21] eval-auc:0.690327 train-auc:0.880642
[22] eval-auc:0.693844 train-auc:0.882556
[23] eval-auc:0.693957 train-auc:0.881879
[24] eval-auc:0.693449 train-auc:0.883391
[25] eval-auc:0.692017 train-auc:0.884486
[26] eval-auc:0.695207 train-auc:0.887828
[27] eval-auc:0.694033 train-auc:0.889634
[28] eval-auc:0.69437 train-auc:0.888659
[29] eval-auc:0.694218 train-auc:0.889146
[30] eval-auc:0.694049 train-auc:0.892293
[31] eval-auc:0.695355 train-auc:0.893364
[32] eval-auc:0.695136 train-auc:0.894065
[33] eval-auc:0.693545 train-auc:0.896604
[34] eval-auc:0.692329 train-auc:0.898855
[35] eval-auc:0.693561 train-auc:0.902237
[36] eval-auc:0.695092 train-auc:0.902228
[37] eval-auc:0.695853 train-auc:0.901586
[38] eval-auc:0.693606 train-auc:0.901445
[39] eval-auc:0.693149 train-auc:0.902237
[40] eval-auc:0.692992 train-auc:0.901779
[41] eval-auc:0.693234 train-auc:0.902472
[42] eval-auc:0.692899 train-auc:0.902735
[43] eval-auc:0.693558 train-auc:0.904977
[44] eval-auc:0.693637 train-auc:0.908904
[45] eval-auc:0.694201 train-auc:0.910562
[46] eval-auc:0.693555 train-auc:0.913413
[47] eval-auc:0.693707 train-auc:0.914234
[48] eval-auc:0.692777 train-auc:0.915931
[49] eval-auc:0.693421 train-auc:0.918991
[50] eval-auc:0.692815 train-auc:0.919749
[51] eval-auc:0.692331 train-auc:0.919849
[52] eval-auc:0.693278 train-auc:0.922516
[53] eval-auc:0.69335 train-auc:0.924282
[54] eval-auc:0.693953 train-auc:0.926201
[55] eval-auc:0.693445 train-auc:0.928631
[56] eval-auc:0.693473 train-auc:0.930503
[57] eval-auc:0.694301 train-auc:0.931575
[58] eval-auc:0.695212 train-auc:0.932055
[59] eval-auc:0.69447 train-auc:0.933867
[60] eval-auc:0.693522 train-auc:0.933322
[61] eval-auc:0.693432 train-auc:0.934442
[62] eval-auc:0.693269 train-auc:0.934645
[63] eval-auc:0.695626 train-auc:0.938209
[64] eval-auc:0.695296 train-auc:0.938369
[65] eval-auc:0.695725 train-auc:0.939088
[66] eval-auc:0.695761 train-auc:0.939005
[67] eval-auc:0.694109 train-auc:0.940168
[68] eval-auc:0.693829 train-auc:0.940842
[69] eval-auc:0.693179 train-auc:0.942238
[70] eval-auc:0.693925 train-auc:0.944941
[71] eval-auc:0.693817 train-auc:0.945409
[72] eval-auc:0.693497 train-auc:0.945536
[73] eval-auc:0.694297 train-auc:0.94684
[74] eval-auc:0.693711 train-auc:0.948371
[75] eval-auc:0.693599 train-auc:0.94834
[76] eval-auc:0.692943 train-auc:0.948321
[77] eval-auc:0.690944 train-auc:0.948901
[78] eval-auc:0.691058 train-auc:0.948664
[79] eval-auc:0.69082 train-auc:0.948718
[80] eval-auc:0.690589 train-auc:0.949715
[81] eval-auc:0.690814 train-auc:0.950302
[82] eval-auc:0.690852 train-auc:0.950714
[83] eval-auc:0.690018 train-auc:0.95134
[84] eval-auc:0.690667 train-auc:0.951908
[85] eval-auc:0.689904 train-auc:0.952781
[86] eval-auc:0.68955 train-auc:0.953515
[87] eval-auc:0.689209 train-auc:0.954201
[88] eval-auc:0.68961 train-auc:0.955472
[89] eval-auc:0.689882 train-auc:0.955988
[90] eval-auc:0.689148 train-auc:0.956014
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[92] eval-auc:0.68872 train-auc:0.957558
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[100] eval-auc:0.687612 train-auc:0.961052
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[102] eval-auc:0.687554 train-auc:0.962263
[103] eval-auc:0.68761 train-auc:0.962712
[104] eval-auc:0.687504 train-auc:0.962888
[105] eval-auc:0.687652 train-auc:0.963104
[106] eval-auc:0.68703 train-auc:0.962998
[107] eval-auc:0.686838 train-auc:0.963255
[108] eval-auc:0.686369 train-auc:0.964288
[109] eval-auc:0.68548 train-auc:0.964456
[110] eval-auc:0.68557 train-auc:0.964571
[111] eval-auc:0.685264 train-auc:0.965292
[112] eval-auc:0.686085 train-auc:0.966072
[113] eval-auc:0.686656 train-auc:0.966266
[114] eval-auc:0.685908 train-auc:0.966457
[115] eval-auc:0.686193 train-auc:0.967142
[116] eval-auc:0.68668 train-auc:0.968403
[117] eval-auc:0.687003 train-auc:0.968682
[118] eval-auc:0.687266 train-auc:0.969303
[119] eval-auc:0.687259 train-auc:0.96951
[120] eval-auc:0.687632 train-auc:0.970209
[121] eval-auc:0.688189 train-auc:0.970467
[122] eval-auc:0.688491 train-auc:0.971227
[123] eval-auc:0.687635 train-auc:0.971331
[124] eval-auc:0.687607 train-auc:0.97117
[125] eval-auc:0.688053 train-auc:0.97164
[126] eval-auc:0.689165 train-auc:0.97317
[127] eval-auc:0.689534 train-auc:0.97323
[128] eval-auc:0.689587 train-auc:0.973457
[129] eval-auc:0.689997 train-auc:0.973747
[130] eval-auc:0.689971 train-auc:0.974347
[131] eval-auc:0.689643 train-auc:0.974772
[132] eval-auc:0.690164 train-auc:0.97532
[133] eval-auc:0.689987 train-auc:0.975448
[134] eval-auc:0.689753 train-auc:0.975603
[135] eval-auc:0.68989 train-auc:0.975841
[136] eval-auc:0.690027 train-auc:0.975951
[137] eval-auc:0.689606 train-auc:0.97629
[138] eval-auc:0.689269 train-auc:0.976439
[139] eval-auc:0.690464 train-auc:0.977247
[140] eval-auc:0.690382 train-auc:0.977313
[141] eval-auc:0.689983 train-auc:0.977641
[142] eval-auc:0.689713 train-auc:0.977693
[143] eval-auc:0.689605 train-auc:0.97767
[144] eval-auc:0.689503 train-auc:0.978149
[145] eval-auc:0.68932 train-auc:0.978332
[146] eval-auc:0.689311 train-auc:0.978783
[147] eval-auc:0.689465 train-auc:0.979088
[148] eval-auc:0.689695 train-auc:0.979169
[149] eval-auc:0.689986 train-auc:0.979541
[150] eval-auc:0.690208 train-auc:0.979787
[151] eval-auc:0.69017 train-auc:0.980117
[152] eval-auc:0.690187 train-auc:0.98061
[153] eval-auc:0.689779 train-auc:0.980645
[154] eval-auc:0.690097 train-auc:0.981139
[155] eval-auc:0.69019 train-auc:0.981306
[156] eval-auc:0.690246 train-auc:0.981529
[157] eval-auc:0.690377 train-auc:0.981707
[158] eval-auc:0.690365 train-auc:0.981844
[159] eval-auc:0.690048 train-auc:0.982128
[160] eval-auc:0.690287 train-auc:0.982509
[161] eval-auc:0.690144 train-auc:0.982509
[162] eval-auc:0.690079 train-auc:0.982518
[163] eval-auc:0.68998 train-auc:0.982805
[164] eval-auc:0.689838 train-auc:0.982959
[165] eval-auc:0.68954 train-auc:0.983232
[166] eval-auc:0.689467 train-auc:0.983648
[167] eval-auc:0.689506 train-auc:0.983778
[168] eval-auc:0.689051 train-auc:0.984085
[169] eval-auc:0.689109 train-auc:0.984187
[170] eval-auc:0.68954 train-auc:0.984417
[171] eval-auc:0.689343 train-auc:0.984456
[172] eval-auc:0.688966 train-auc:0.984549
[173] eval-auc:0.688894 train-auc:0.984735
[174] eval-auc:0.689086 train-auc:0.984876
[175] eval-auc:0.688579 train-auc:0.985121
[176] eval-auc:0.688373 train-auc:0.985156
[177] eval-auc:0.688536 train-auc:0.98529
[178] eval-auc:0.688836 train-auc:0.985751
[179] eval-auc:0.688883 train-auc:0.985868
[180] eval-auc:0.688705 train-auc:0.985915
[181] eval-auc:0.688899 train-auc:0.985926
[182] eval-auc:0.688906 train-auc:0.985932
[183] eval-auc:0.688848 train-auc:0.98603
[184] eval-auc:0.688847 train-auc:0.986086
[185] eval-auc:0.689135 train-auc:0.986288
[186] eval-auc:0.689339 train-auc:0.986413
[187] eval-auc:0.689474 train-auc:0.986563
[188] eval-auc:0.689476 train-auc:0.986626
[189] eval-auc:0.689317 train-auc:0.986803
[190] eval-auc:0.689116 train-auc:0.986984
[191] eval-auc:0.688698 train-auc:0.987005
[192] eval-auc:0.688532 train-auc:0.987058
[193] eval-auc:0.688358 train-auc:0.987252
[194] eval-auc:0.688168 train-auc:0.987345
[195] eval-auc:0.688325 train-auc:0.9874
[196] eval-auc:0.688602 train-auc:0.987543
[197] eval-auc:0.688544 train-auc:0.98767
[198] eval-auc:0.688641 train-auc:0.98763
[199] eval-auc:0.688602 train-auc:0.987821
[200] eval-auc:0.688637 train-auc:0.988091
[201] eval-auc:0.688599 train-auc:0.988047
[202] eval-auc:0.688481 train-auc:0.988189
[203] eval-auc:0.688488 train-auc:0.988453
[204] eval-auc:0.688379 train-auc:0.988525
[205] eval-auc:0.688415 train-auc:0.988608
[206] eval-auc:0.68836 train-auc:0.988708
[207] eval-auc:0.688264 train-auc:0.98892
[208] eval-auc:0.688293 train-auc:0.989029
[209] eval-auc:0.688125 train-auc:0.989223
[210] eval-auc:0.687918 train-auc:0.989352
[211] eval-auc:0.687802 train-auc:0.989353
[212] eval-auc:0.687717 train-auc:0.989495
[213] eval-auc:0.688258 train-auc:0.989565
[214] eval-auc:0.688136 train-auc:0.9896
[215] eval-auc:0.68841 train-auc:0.989604
[216] eval-auc:0.688258 train-auc:0.989666
[217] eval-auc:0.687907 train-auc:0.989875
[218] eval-auc:0.687906 train-auc:0.990104
[219] eval-auc:0.688073 train-auc:0.990443
[220] eval-auc:0.688456 train-auc:0.990677
[221] eval-auc:0.688159 train-auc:0.990853
[222] eval-auc:0.688204 train-auc:0.990932
[223] eval-auc:0.688334 train-auc:0.991001
[224] eval-auc:0.688092 train-auc:0.991062
[225] eval-auc:0.687942 train-auc:0.991135
[226] eval-auc:0.688626 train-auc:0.991499
[227] eval-auc:0.688397 train-auc:0.991581
[228] eval-auc:0.68869 train-auc:0.991845
[229] eval-auc:0.689214 train-auc:0.991861
[230] eval-auc:0.688929 train-auc:0.991918
[231] eval-auc:0.688431 train-auc:0.991958
[232] eval-auc:0.688833 train-auc:0.992048
[233] eval-auc:0.689255 train-auc:0.992322
[234] eval-auc:0.689468 train-auc:0.992441
[235] eval-auc:0.689019 train-auc:0.992486
[236] eval-auc:0.68911 train-auc:0.992521
[237] eval-auc:0.688935 train-auc:0.992614
[238] eval-auc:0.688824 train-auc:0.992644
[239] eval-auc:0.689406 train-auc:0.99279
[240] eval-auc:0.689305 train-auc:0.992859
[241] eval-auc:0.689355 train-auc:0.992921
[242] eval-auc:0.689258 train-auc:0.992951
[243] eval-auc:0.689209 train-auc:0.992971
[244] eval-auc:0.689416 train-auc:0.993017
[245] eval-auc:0.689483 train-auc:0.993056
[246] eval-auc:0.689503 train-auc:0.99307
[247] eval-auc:0.689741 train-auc:0.993147
[248] eval-auc:0.689521 train-auc:0.993252
[249] eval-auc:0.689179 train-auc:0.993327
[250] eval-auc:0.689062 train-auc:0.993373
[251] eval-auc:0.689094 train-auc:0.993423
[252] eval-auc:0.688978 train-auc:0.993451
[253] eval-auc:0.688928 train-auc:0.99351
[254] eval-auc:0.688801 train-auc:0.993539
[255] eval-auc:0.688673 train-auc:0.993549
[256] eval-auc:0.688798 train-auc:0.993663
[257] eval-auc:0.688924 train-auc:0.993677
[258] eval-auc:0.688979 train-auc:0.993757
[259] eval-auc:0.689057 train-auc:0.993805
[260] eval-auc:0.689115 train-auc:0.99381
[261] eval-auc:0.689122 train-auc:0.993867
[262] eval-auc:0.689037 train-auc:0.993973
[263] eval-auc:0.688468 train-auc:0.994024
[264] eval-auc:0.688516 train-auc:0.99412
[265] eval-auc:0.688559 train-auc:0.994191
[266] eval-auc:0.688538 train-auc:0.994302
[267] eval-auc:0.688191 train-auc:0.994336
[268] eval-auc:0.688219 train-auc:0.994444
[269] eval-auc:0.688586 train-auc:0.994535
[270] eval-auc:0.688689 train-auc:0.994645
[271] eval-auc:0.688632 train-auc:0.994643
[272] eval-auc:0.68821 train-auc:0.99463
[273] eval-auc:0.688093 train-auc:0.994647
[274] eval-auc:0.687974 train-auc:0.99465
[275] eval-auc:0.687797 train-auc:0.994729
[276] eval-auc:0.688428 train-auc:0.994793
[277] eval-auc:0.688439 train-auc:0.994815
[278] eval-auc:0.688491 train-auc:0.994829
[279] eval-auc:0.688002 train-auc:0.994858
[280] eval-auc:0.687962 train-auc:0.994881
[281] eval-auc:0.688274 train-auc:0.994888
[282] eval-auc:0.688148 train-auc:0.994929
[283] eval-auc:0.687986 train-auc:0.994939
[284] eval-auc:0.688204 train-auc:0.994936
[285] eval-auc:0.68841 train-auc:0.994937
[286] eval-auc:0.688285 train-auc:0.994978
[287] eval-auc:0.688329 train-auc:0.995068
[288] eval-auc:0.688372 train-auc:0.995072
[289] eval-auc:0.687948 train-auc:0.995141
[290] eval-auc:0.687898 train-auc:0.995208
[291] eval-auc:0.688067 train-auc:0.995216
[292] eval-auc:0.688061 train-auc:0.995231
[293] eval-auc:0.68795 train-auc:0.995346
[294] eval-auc:0.688442 train-auc:0.995459
[295] eval-auc:0.688437 train-auc:0.99546
[296] eval-auc:0.688136 train-auc:0.995539
[297] eval-auc:0.688166 train-auc:0.995551
[298] eval-auc:0.688131 train-auc:0.995549
[299] eval-auc:0.687926 train-auc:0.995627
[300] eval-auc:0.688248 train-auc:0.995705
[301] eval-auc:0.688353 train-auc:0.995795
[302] eval-auc:0.688456 train-auc:0.99585
[303] eval-auc:0.688373 train-auc:0.995901
[304] eval-auc:0.688258 train-auc:0.995941
[305] eval-auc:0.688456 train-auc:0.995987
[306] eval-auc:0.688005 train-auc:0.996081
[307] eval-auc:0.687983 train-auc:0.996093
[308] eval-auc:0.688089 train-auc:0.9961
[309] eval-auc:0.688181 train-auc:0.99612
[310] eval-auc:0.688417 train-auc:0.996183
[311] eval-auc:0.68855 train-auc:0.996252
[312] eval-auc:0.688545 train-auc:0.996262
Score 0.6885453593051445
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9500000000000001, 'eta': 0.275, 'eval_metric': 'auc', 'gamma': 0.8, 'max_depth': 13, 'min_child_weight': 5.0, 'n_estimators': 245.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.7000000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.701524 train-auc:0.846428
[1] eval-auc:0.666782 train-auc:0.882228
[2] eval-auc:0.683057 train-auc:0.919358
[3] eval-auc:0.69326 train-auc:0.937877
[4] eval-auc:0.705021 train-auc:0.95194
[5] eval-auc:0.695348 train-auc:0.965175
[6] eval-auc:0.694311 train-auc:0.973427
[7] eval-auc:0.695575 train-auc:0.979526
[8] eval-auc:0.690651 train-auc:0.984882
[9] eval-auc:0.688487 train-auc:0.988386
[10] eval-auc:0.691337 train-auc:0.990947
[11] eval-auc:0.693261 train-auc:0.991935
[12] eval-auc:0.692645 train-auc:0.993374
[13] eval-auc:0.690667 train-auc:0.995403
[14] eval-auc:0.690112 train-auc:0.996262
[15] eval-auc:0.688885 train-auc:0.996807
[16] eval-auc:0.688121 train-auc:0.997467
[17] eval-auc:0.691024 train-auc:0.997856
[18] eval-auc:0.690826 train-auc:0.998218
[19] eval-auc:0.691614 train-auc:0.998737
[20] eval-auc:0.690458 train-auc:0.999001
[21] eval-auc:0.689059 train-auc:0.99921
[22] eval-auc:0.687192 train-auc:0.999319
[23] eval-auc:0.689352 train-auc:0.999537
[24] eval-auc:0.692043 train-auc:0.999591
[25] eval-auc:0.69299 train-auc:0.999641
[26] eval-auc:0.694853 train-auc:0.999718
[27] eval-auc:0.693424 train-auc:0.999743
[28] eval-auc:0.694353 train-auc:0.999856
[29] eval-auc:0.692122 train-auc:0.999887
[30] eval-auc:0.690038 train-auc:0.999912
[31] eval-auc:0.692733 train-auc:0.999923
[32] eval-auc:0.693013 train-auc:0.999927
[33] eval-auc:0.692789 train-auc:0.999934
[34] eval-auc:0.693348 train-auc:0.999959
[35] eval-auc:0.695469 train-auc:0.999963
[36] eval-auc:0.695181 train-auc:0.999956
[37] eval-auc:0.694259 train-auc:0.999957
[38] eval-auc:0.693896 train-auc:0.999958
[39] eval-auc:0.694973 train-auc:0.999963
[40] eval-auc:0.695417 train-auc:0.999971
[41] eval-auc:0.69493 train-auc:0.999988
[42] eval-auc:0.695331 train-auc:0.999995
[43] eval-auc:0.695564 train-auc:0.99999
[44] eval-auc:0.69435 train-auc:0.999982
[45] eval-auc:0.695515 train-auc:0.999985
[46] eval-auc:0.694154 train-auc:0.999987
[47] eval-auc:0.693388 train-auc:0.999994
[48] eval-auc:0.693755 train-auc:0.999987
[49] eval-auc:0.693139 train-auc:0.999987
[50] eval-auc:0.692984 train-auc:0.999992
[51] eval-auc:0.6922 train-auc:0.999997
[52] eval-auc:0.691207 train-auc:0.999997
[53] eval-auc:0.689302 train-auc:0.999998
[54] eval-auc:0.69116 train-auc:0.999999
[55] eval-auc:0.691898 train-auc:0.999996
[56] eval-auc:0.691521 train-auc:0.999999
[57] eval-auc:0.69166 train-auc:0.999998
[58] eval-auc:0.691697 train-auc:1
[59] eval-auc:0.691496 train-auc:0.999999
[60] eval-auc:0.691134 train-auc:1
[61] eval-auc:0.690542 train-auc:1
[62] eval-auc:0.691554 train-auc:1
[63] eval-auc:0.692218 train-auc:1
[64] eval-auc:0.692031 train-auc:1
[65] eval-auc:0.692348 train-auc:1
[66] eval-auc:0.690749 train-auc:1
[67] eval-auc:0.691024 train-auc:1
[68] eval-auc:0.690516 train-auc:1
[69] eval-auc:0.691005 train-auc:1
[70] eval-auc:0.691816 train-auc:1
[71] eval-auc:0.690919 train-auc:1
[72] eval-auc:0.69074 train-auc:1
[73] eval-auc:0.691661 train-auc:1
[74] eval-auc:0.692422 train-auc:1
[75] eval-auc:0.692649 train-auc:1
[76] eval-auc:0.692549 train-auc:1
[77] eval-auc:0.692501 train-auc:1
[78] eval-auc:0.692375 train-auc:1
[79] eval-auc:0.692453 train-auc:1
[80] eval-auc:0.692322 train-auc:1
[81] eval-auc:0.691116 train-auc:1
[82] eval-auc:0.691426 train-auc:1
[83] eval-auc:0.690989 train-auc:1
[84] eval-auc:0.690392 train-auc:1
[85] eval-auc:0.691283 train-auc:1
[86] eval-auc:0.691592 train-auc:1
[87] eval-auc:0.691169 train-auc:1
[88] eval-auc:0.690727 train-auc:1
[89] eval-auc:0.690587 train-auc:1
[90] eval-auc:0.690912 train-auc:1
[91] eval-auc:0.691688 train-auc:1
[92] eval-auc:0.691467 train-auc:1
[93] eval-auc:0.69158 train-auc:1
[94] eval-auc:0.690808 train-auc:1
[95] eval-auc:0.690158 train-auc:1
[96] eval-auc:0.690147 train-auc:1
[97] eval-auc:0.689977 train-auc:1
[98] eval-auc:0.689342 train-auc:1
[99] eval-auc:0.68989 train-auc:1
[100] eval-auc:0.690231 train-auc:1
[101] eval-auc:0.690418 train-auc:1
[102] eval-auc:0.690813 train-auc:1
[103] eval-auc:0.689697 train-auc:1
[104] eval-auc:0.688593 train-auc:1
[105] eval-auc:0.688596 train-auc:1
[106] eval-auc:0.689191 train-auc:1
[107] eval-auc:0.688521 train-auc:1
[108] eval-auc:0.688408 train-auc:1
[109] eval-auc:0.688323 train-auc:1
[110] eval-auc:0.688408 train-auc:1
[111] eval-auc:0.687734 train-auc:1
[112] eval-auc:0.687665 train-auc:1
[113] eval-auc:0.68844 train-auc:1
[114] eval-auc:0.68804 train-auc:1
[115] eval-auc:0.687673 train-auc:1
[116] eval-auc:0.687708 train-auc:1
[117] eval-auc:0.687766 train-auc:1
[118] eval-auc:0.687391 train-auc:1
[119] eval-auc:0.690044 train-auc:1
[120] eval-auc:0.691332 train-auc:1
[121] eval-auc:0.690947 train-auc:1
[122] eval-auc:0.691117 train-auc:1
[123] eval-auc:0.69007 train-auc:1
[124] eval-auc:0.688929 train-auc:1
[125] eval-auc:0.689123 train-auc:1
[126] eval-auc:0.688873 train-auc:1
[127] eval-auc:0.687735 train-auc:1
[128] eval-auc:0.688693 train-auc:1
[129] eval-auc:0.689628 train-auc:1
[130] eval-auc:0.689514 train-auc:1
[131] eval-auc:0.688774 train-auc:1
[132] eval-auc:0.689176 train-auc:1
[133] eval-auc:0.688914 train-auc:1
[134] eval-auc:0.688629 train-auc:1
[135] eval-auc:0.688893 train-auc:1
[136] eval-auc:0.688941 train-auc:1
[137] eval-auc:0.689129 train-auc:1
[138] eval-auc:0.689221 train-auc:1
[139] eval-auc:0.68936 train-auc:1
[140] eval-auc:0.689377 train-auc:1
[141] eval-auc:0.689211 train-auc:1
[142] eval-auc:0.688752 train-auc:1
[143] eval-auc:0.688897 train-auc:1
[144] eval-auc:0.689094 train-auc:1
[145] eval-auc:0.688754 train-auc:1
[146] eval-auc:0.688612 train-auc:1
[147] eval-auc:0.688568 train-auc:1
[148] eval-auc:0.688745 train-auc:1
[149] eval-auc:0.6886 train-auc:1
[150] eval-auc:0.689354 train-auc:1
[151] eval-auc:0.688722 train-auc:1
[152] eval-auc:0.688456 train-auc:1
[153] eval-auc:0.688663 train-auc:1
[154] eval-auc:0.688387 train-auc:1
[155] eval-auc:0.68813 train-auc:1
[156] eval-auc:0.688201 train-auc:1
[157] eval-auc:0.688032 train-auc:1
[158] eval-auc:0.688032 train-auc:1
[159] eval-auc:0.688506 train-auc:1
[160] eval-auc:0.68866 train-auc:1
[161] eval-auc:0.68878 train-auc:1
[162] eval-auc:0.6886 train-auc:1
[163] eval-auc:0.688046 train-auc:1
[164] eval-auc:0.687384 train-auc:1
[165] eval-auc:0.686925 train-auc:1
[166] eval-auc:0.685809 train-auc:1
[167] eval-auc:0.685538 train-auc:1
[168] eval-auc:0.685579 train-auc:1
[169] eval-auc:0.685686 train-auc:1
[170] eval-auc:0.68596 train-auc:1
[171] eval-auc:0.68598 train-auc:1
[172] eval-auc:0.686193 train-auc:1
[173] eval-auc:0.686103 train-auc:1
[174] eval-auc:0.685774 train-auc:1
[175] eval-auc:0.685638 train-auc:1
[176] eval-auc:0.685144 train-auc:1
[177] eval-auc:0.685337 train-auc:1
[178] eval-auc:0.684964 train-auc:1
[179] eval-auc:0.684839 train-auc:1
[180] eval-auc:0.68476 train-auc:1
[181] eval-auc:0.684439 train-auc:1
[182] eval-auc:0.684569 train-auc:1
[183] eval-auc:0.684553 train-auc:1
[184] eval-auc:0.684404 train-auc:1
[185] eval-auc:0.684618 train-auc:1
[186] eval-auc:0.684067 train-auc:1
[187] eval-auc:0.683528 train-auc:1
[188] eval-auc:0.68423 train-auc:1
[189] eval-auc:0.684187 train-auc:1
[190] eval-auc:0.683947 train-auc:1
[191] eval-auc:0.684139 train-auc:1
[192] eval-auc:0.684283 train-auc:1
[193] eval-auc:0.684256 train-auc:1
[194] eval-auc:0.685795 train-auc:1
[195] eval-auc:0.686181 train-auc:1
[196] eval-auc:0.685495 train-auc:1
[197] eval-auc:0.685092 train-auc:1
[198] eval-auc:0.685092 train-auc:1
[199] eval-auc:0.684997 train-auc:1
[200] eval-auc:0.685 train-auc:1
[201] eval-auc:0.684786 train-auc:1
[202] eval-auc:0.684824 train-auc:1
[203] eval-auc:0.685209 train-auc:1
[204] eval-auc:0.685296 train-auc:1
[205] eval-auc:0.685418 train-auc:1
[206] eval-auc:0.685279 train-auc:1
[207] eval-auc:0.685625 train-auc:1
[208] eval-auc:0.685969 train-auc:1
[209] eval-auc:0.686133 train-auc:1
[210] eval-auc:0.68583 train-auc:1
[211] eval-auc:0.685629 train-auc:1
[212] eval-auc:0.685934 train-auc:1
[213] eval-auc:0.686156 train-auc:1
[214] eval-auc:0.686548 train-auc:1
[215] eval-auc:0.686171 train-auc:1
[216] eval-auc:0.686767 train-auc:1
[217] eval-auc:0.687036 train-auc:1
[218] eval-auc:0.687141 train-auc:1
[219] eval-auc:0.687141 train-auc:1
[220] eval-auc:0.686777 train-auc:1
[221] eval-auc:0.68695 train-auc:1
[222] eval-auc:0.687237 train-auc:1
[223] eval-auc:0.687521 train-auc:1
[224] eval-auc:0.687295 train-auc:1
[225] eval-auc:0.687295 train-auc:1
[226] eval-auc:0.687214 train-auc:1
[227] eval-auc:0.687461 train-auc:1
[228] eval-auc:0.687253 train-auc:1
[229] eval-auc:0.687114 train-auc:1
[230] eval-auc:0.687111 train-auc:1
[231] eval-auc:0.686825 train-auc:1
[232] eval-auc:0.686468 train-auc:1
[233] eval-auc:0.686162 train-auc:1
[234] eval-auc:0.686092 train-auc:1
[235] eval-auc:0.685451 train-auc:1
[236] eval-auc:0.685558 train-auc:1
[237] eval-auc:0.685558 train-auc:1
[238] eval-auc:0.685512 train-auc:1
[239] eval-auc:0.685521 train-auc:1
[240] eval-auc:0.685477 train-auc:1
[241] eval-auc:0.685477 train-auc:1
[242] eval-auc:0.68596 train-auc:1
[243] eval-auc:0.686146 train-auc:1
[244] eval-auc:0.686272 train-auc:1
Score 0.686271912192864
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.55, 'eta': 0.325, 'eval_metric': 'auc', 'gamma': 0.7000000000000001, 'max_depth': 1, 'min_child_weight': 3.0, 'n_estimators': 408.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9, 'tree_method': 'exact'}
[0] eval-auc:0.548351 train-auc:0.559549
[1] eval-auc:0.6691 train-auc:0.677286
[2] eval-auc:0.6691 train-auc:0.677286
[3] eval-auc:0.669347 train-auc:0.677515
[4] eval-auc:0.669347 train-auc:0.677515
[5] eval-auc:0.698286 train-auc:0.697795
[6] eval-auc:0.698286 train-auc:0.697795
[7] eval-auc:0.700018 train-auc:0.700059
[8] eval-auc:0.699406 train-auc:0.700789
[9] eval-auc:0.702047 train-auc:0.70231
[10] eval-auc:0.703783 train-auc:0.702058
[11] eval-auc:0.698678 train-auc:0.700137
[12] eval-auc:0.699453 train-auc:0.700799
[13] eval-auc:0.701634 train-auc:0.702748
[14] eval-auc:0.70235 train-auc:0.70431
[15] eval-auc:0.701906 train-auc:0.704594
[16] eval-auc:0.699191 train-auc:0.702344
[17] eval-auc:0.704699 train-auc:0.704966
[18] eval-auc:0.701754 train-auc:0.70832
[19] eval-auc:0.701974 train-auc:0.708558
[20] eval-auc:0.701885 train-auc:0.708702
[21] eval-auc:0.702132 train-auc:0.709262
[22] eval-auc:0.70291 train-auc:0.709978
[23] eval-auc:0.701055 train-auc:0.709492
[24] eval-auc:0.70161 train-auc:0.710373
[25] eval-auc:0.701547 train-auc:0.710104
[26] eval-auc:0.703177 train-auc:0.711715
[27] eval-auc:0.701717 train-auc:0.711393
[28] eval-auc:0.702063 train-auc:0.711605
[29] eval-auc:0.702344 train-auc:0.711374
[30] eval-auc:0.702651 train-auc:0.712004
[31] eval-auc:0.701156 train-auc:0.7129
[32] eval-auc:0.700743 train-auc:0.712978
[33] eval-auc:0.700617 train-auc:0.713302
[34] eval-auc:0.70249 train-auc:0.713433
[35] eval-auc:0.701527 train-auc:0.713906
[36] eval-auc:0.701147 train-auc:0.71479
[37] eval-auc:0.701972 train-auc:0.715389
[38] eval-auc:0.702557 train-auc:0.715848
[39] eval-auc:0.702919 train-auc:0.716392
[40] eval-auc:0.702891 train-auc:0.71637
[41] eval-auc:0.7032 train-auc:0.716572
[42] eval-auc:0.704412 train-auc:0.716939
[43] eval-auc:0.705124 train-auc:0.717542
[44] eval-auc:0.705093 train-auc:0.718132
[45] eval-auc:0.705638 train-auc:0.718538
[46] eval-auc:0.704769 train-auc:0.718879
[47] eval-auc:0.705362 train-auc:0.719459
[48] eval-auc:0.70538 train-auc:0.719342
[49] eval-auc:0.705571 train-auc:0.719843
[50] eval-auc:0.703901 train-auc:0.720047
[51] eval-auc:0.703443 train-auc:0.719707
[52] eval-auc:0.703703 train-auc:0.719906
[53] eval-auc:0.705607 train-auc:0.719994
[54] eval-auc:0.704984 train-auc:0.720356
[55] eval-auc:0.705114 train-auc:0.720545
[56] eval-auc:0.704157 train-auc:0.720873
[57] eval-auc:0.704426 train-auc:0.720829
[58] eval-auc:0.703715 train-auc:0.721064
[59] eval-auc:0.703848 train-auc:0.721391
[60] eval-auc:0.703933 train-auc:0.721531
[61] eval-auc:0.703822 train-auc:0.721776
[62] eval-auc:0.703591 train-auc:0.722012
[63] eval-auc:0.7042 train-auc:0.722347
[64] eval-auc:0.704868 train-auc:0.722699
[65] eval-auc:0.705883 train-auc:0.722359
[66] eval-auc:0.705393 train-auc:0.722722
[67] eval-auc:0.703803 train-auc:0.72288
[68] eval-auc:0.703094 train-auc:0.723034
[69] eval-auc:0.702399 train-auc:0.72311
[70] eval-auc:0.7018 train-auc:0.723363
[71] eval-auc:0.70241 train-auc:0.723648
[72] eval-auc:0.704103 train-auc:0.723752
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[76] eval-auc:0.703004 train-auc:0.72448
[77] eval-auc:0.701639 train-auc:0.724575
[78] eval-auc:0.701921 train-auc:0.724927
[79] eval-auc:0.702032 train-auc:0.724634
[80] eval-auc:0.701758 train-auc:0.724943
[81] eval-auc:0.701776 train-auc:0.72491
[82] eval-auc:0.702038 train-auc:0.725083
[83] eval-auc:0.702284 train-auc:0.725212
[84] eval-auc:0.702577 train-auc:0.725298
[85] eval-auc:0.702331 train-auc:0.725595
[86] eval-auc:0.701467 train-auc:0.725632
[87] eval-auc:0.701668 train-auc:0.725902
[88] eval-auc:0.701515 train-auc:0.726
[89] eval-auc:0.700698 train-auc:0.725964
[90] eval-auc:0.69977 train-auc:0.726054
[91] eval-auc:0.698764 train-auc:0.726304
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[100] eval-auc:0.699126 train-auc:0.727995
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[102] eval-auc:0.699189 train-auc:0.728208
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[104] eval-auc:0.699989 train-auc:0.72806
[105] eval-auc:0.699075 train-auc:0.728455
[106] eval-auc:0.698972 train-auc:0.72854
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[108] eval-auc:0.700267 train-auc:0.728699
[109] eval-auc:0.699398 train-auc:0.729009
[110] eval-auc:0.698956 train-auc:0.728903
[111] eval-auc:0.699288 train-auc:0.7291
[112] eval-auc:0.699594 train-auc:0.729313
[113] eval-auc:0.699666 train-auc:0.729437
[114] eval-auc:0.699484 train-auc:0.729476
[115] eval-auc:0.699418 train-auc:0.729614
[116] eval-auc:0.699224 train-auc:0.729506
[117] eval-auc:0.699434 train-auc:0.729833
[118] eval-auc:0.699376 train-auc:0.730003
[119] eval-auc:0.699586 train-auc:0.730369
[120] eval-auc:0.699718 train-auc:0.730605
[121] eval-auc:0.699775 train-auc:0.730626
[122] eval-auc:0.699886 train-auc:0.730797
[123] eval-auc:0.699224 train-auc:0.730981
[124] eval-auc:0.699382 train-auc:0.731458
[125] eval-auc:0.699475 train-auc:0.731511
[126] eval-auc:0.699368 train-auc:0.731907
[127] eval-auc:0.699507 train-auc:0.732024
[128] eval-auc:0.699346 train-auc:0.73208
[129] eval-auc:0.69878 train-auc:0.73208
[130] eval-auc:0.699257 train-auc:0.732134
[131] eval-auc:0.699055 train-auc:0.731869
[132] eval-auc:0.698117 train-auc:0.732047
[133] eval-auc:0.697684 train-auc:0.732255
[134] eval-auc:0.698663 train-auc:0.732359
[135] eval-auc:0.699044 train-auc:0.732521
[136] eval-auc:0.699201 train-auc:0.732679
[137] eval-auc:0.699053 train-auc:0.732741
[138] eval-auc:0.699009 train-auc:0.732844
[139] eval-auc:0.698951 train-auc:0.732946
[140] eval-auc:0.698866 train-auc:0.733048
[141] eval-auc:0.698929 train-auc:0.733135
[142] eval-auc:0.699608 train-auc:0.733271
[143] eval-auc:0.699712 train-auc:0.733345
[144] eval-auc:0.699697 train-auc:0.733524
[145] eval-auc:0.699944 train-auc:0.733663
[146] eval-auc:0.700264 train-auc:0.734222
[147] eval-auc:0.699694 train-auc:0.734382
[148] eval-auc:0.69953 train-auc:0.734372
[149] eval-auc:0.699563 train-auc:0.734289
[150] eval-auc:0.699074 train-auc:0.734374
[151] eval-auc:0.699333 train-auc:0.734446
[152] eval-auc:0.69907 train-auc:0.734435
[153] eval-auc:0.699065 train-auc:0.734094
[154] eval-auc:0.699335 train-auc:0.734147
[155] eval-auc:0.698674 train-auc:0.734388
[156] eval-auc:0.698783 train-auc:0.73492
[157] eval-auc:0.698951 train-auc:0.735107
[158] eval-auc:0.698962 train-auc:0.735199
[159] eval-auc:0.700188 train-auc:0.735298
[160] eval-auc:0.700401 train-auc:0.735363
[161] eval-auc:0.700541 train-auc:0.735615
[162] eval-auc:0.700058 train-auc:0.735603
[163] eval-auc:0.699182 train-auc:0.735875
[164] eval-auc:0.699012 train-auc:0.735967
[165] eval-auc:0.699335 train-auc:0.736043
[166] eval-auc:0.699434 train-auc:0.735361
[167] eval-auc:0.699728 train-auc:0.735972
[168] eval-auc:0.700254 train-auc:0.736112
[169] eval-auc:0.700126 train-auc:0.736156
[170] eval-auc:0.700022 train-auc:0.73623
[171] eval-auc:0.699504 train-auc:0.736305
[172] eval-auc:0.699571 train-auc:0.736689
[173] eval-auc:0.69973 train-auc:0.73696
[174] eval-auc:0.699264 train-auc:0.7371
[175] eval-auc:0.698653 train-auc:0.737163
[176] eval-auc:0.699696 train-auc:0.737276
[177] eval-auc:0.698475 train-auc:0.737447
[178] eval-auc:0.698748 train-auc:0.737443
[179] eval-auc:0.698914 train-auc:0.737652
[180] eval-auc:0.698552 train-auc:0.737821
[181] eval-auc:0.698491 train-auc:0.73808
[182] eval-auc:0.699076 train-auc:0.738151
[183] eval-auc:0.698942 train-auc:0.738196
[184] eval-auc:0.697756 train-auc:0.738461
[185] eval-auc:0.697514 train-auc:0.738506
[186] eval-auc:0.698417 train-auc:0.738714
[187] eval-auc:0.697721 train-auc:0.738819
[188] eval-auc:0.697827 train-auc:0.738766
[189] eval-auc:0.698088 train-auc:0.738799
[190] eval-auc:0.698126 train-auc:0.738292
[191] eval-auc:0.698211 train-auc:0.738547
[192] eval-auc:0.697501 train-auc:0.738393
[193] eval-auc:0.698563 train-auc:0.73845
[194] eval-auc:0.698255 train-auc:0.738666
[195] eval-auc:0.698222 train-auc:0.739314
[196] eval-auc:0.698194 train-auc:0.739382
[197] eval-auc:0.698097 train-auc:0.739566
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[199] eval-auc:0.698055 train-auc:0.739749
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[201] eval-auc:0.698289 train-auc:0.739982
[202] eval-auc:0.698051 train-auc:0.74032
[203] eval-auc:0.697657 train-auc:0.740288
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[210] eval-auc:0.696666 train-auc:0.739592
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[213] eval-auc:0.69594 train-auc:0.740575
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[230] eval-auc:0.694307 train-auc:0.742178
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[234] eval-auc:0.693746 train-auc:0.741999
[235] eval-auc:0.69342 train-auc:0.741735
[236] eval-auc:0.694033 train-auc:0.741946
[237] eval-auc:0.69469 train-auc:0.742022
[238] eval-auc:0.694066 train-auc:0.741988
[239] eval-auc:0.694087 train-auc:0.74216
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[361] eval-auc:0.692354 train-auc:0.751974
[362] eval-auc:0.692386 train-auc:0.7521
[363] eval-auc:0.692273 train-auc:0.752379
[364] eval-auc:0.692013 train-auc:0.752882
[365] eval-auc:0.692584 train-auc:0.752934
[366] eval-auc:0.692002 train-auc:0.752822
[367] eval-auc:0.692137 train-auc:0.752991
[368] eval-auc:0.692632 train-auc:0.752986
[369] eval-auc:0.692258 train-auc:0.753036
[370] eval-auc:0.691842 train-auc:0.75313
[371] eval-auc:0.692192 train-auc:0.753213
[372] eval-auc:0.69225 train-auc:0.752675
[373] eval-auc:0.692497 train-auc:0.752541
[374] eval-auc:0.691834 train-auc:0.752583
[375] eval-auc:0.691732 train-auc:0.752662
[376] eval-auc:0.692049 train-auc:0.752809
[377] eval-auc:0.691732 train-auc:0.752508
[378] eval-auc:0.691566 train-auc:0.752535
[379] eval-auc:0.691822 train-auc:0.752658
[380] eval-auc:0.692436 train-auc:0.753139
[381] eval-auc:0.692075 train-auc:0.753334
[382] eval-auc:0.691081 train-auc:0.753434
[383] eval-auc:0.690402 train-auc:0.753286
[384] eval-auc:0.689768 train-auc:0.753363
[385] eval-auc:0.690727 train-auc:0.753459
[386] eval-auc:0.690146 train-auc:0.753457
[387] eval-auc:0.690347 train-auc:0.753562
[388] eval-auc:0.690912 train-auc:0.753668
[389] eval-auc:0.69084 train-auc:0.753743
[390] eval-auc:0.690791 train-auc:0.754274
[391] eval-auc:0.690924 train-auc:0.753901
[392] eval-auc:0.691114 train-auc:0.754015
[393] eval-auc:0.691478 train-auc:0.754068
[394] eval-auc:0.691749 train-auc:0.754152
[395] eval-auc:0.691627 train-auc:0.754003
[396] eval-auc:0.69139 train-auc:0.754085
[397] eval-auc:0.691312 train-auc:0.754127
[398] eval-auc:0.690979 train-auc:0.754302
[399] eval-auc:0.691198 train-auc:0.754439
[400] eval-auc:0.69123 train-auc:0.754376
[401] eval-auc:0.691498 train-auc:0.754412
[402] eval-auc:0.691248 train-auc:0.754189
[403] eval-auc:0.691265 train-auc:0.754305
[404] eval-auc:0.690947 train-auc:0.754303
[405] eval-auc:0.690692 train-auc:0.754445
[406] eval-auc:0.690694 train-auc:0.754572
[407] eval-auc:0.690382 train-auc:0.754603
Score 0.6903817807501613
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.7000000000000001, 'eta': 0.15000000000000002, 'eval_metric': 'auc', 'gamma': 0.55, 'max_depth': 4, 'min_child_weight': 4.0, 'n_estimators': 150.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.66961 train-auc:0.707039
[1] eval-auc:0.669675 train-auc:0.721365
[2] eval-auc:0.678268 train-auc:0.739044
[3] eval-auc:0.678973 train-auc:0.749299
[4] eval-auc:0.695364 train-auc:0.77018
[5] eval-auc:0.694052 train-auc:0.768802
[6] eval-auc:0.695784 train-auc:0.773477
[7] eval-auc:0.69495 train-auc:0.774697
[8] eval-auc:0.699478 train-auc:0.784039
[9] eval-auc:0.697118 train-auc:0.785408
[10] eval-auc:0.688808 train-auc:0.790464
[11] eval-auc:0.684818 train-auc:0.793026
[12] eval-auc:0.687703 train-auc:0.793584
[13] eval-auc:0.691257 train-auc:0.79372
[14] eval-auc:0.690096 train-auc:0.79605
[15] eval-auc:0.68931 train-auc:0.797075
[16] eval-auc:0.6921 train-auc:0.802274
[17] eval-auc:0.693436 train-auc:0.813622
[18] eval-auc:0.693379 train-auc:0.815389
[19] eval-auc:0.693201 train-auc:0.824031
[20] eval-auc:0.695604 train-auc:0.82369
[21] eval-auc:0.695336 train-auc:0.82479
[22] eval-auc:0.695512 train-auc:0.827788
[23] eval-auc:0.697661 train-auc:0.83156
[24] eval-auc:0.699169 train-auc:0.836344
[25] eval-auc:0.699514 train-auc:0.83746
[26] eval-auc:0.699884 train-auc:0.839555
[27] eval-auc:0.701623 train-auc:0.842259
[28] eval-auc:0.703372 train-auc:0.845451
[29] eval-auc:0.703719 train-auc:0.847979
[30] eval-auc:0.703378 train-auc:0.850047
[31] eval-auc:0.704334 train-auc:0.851601
[32] eval-auc:0.703793 train-auc:0.854264
[33] eval-auc:0.704458 train-auc:0.857251
[34] eval-auc:0.704142 train-auc:0.85948
[35] eval-auc:0.701869 train-auc:0.862541
[36] eval-auc:0.701237 train-auc:0.864909
[37] eval-auc:0.7007 train-auc:0.867052
[38] eval-auc:0.700781 train-auc:0.867605
[39] eval-auc:0.702308 train-auc:0.87189
[40] eval-auc:0.702192 train-auc:0.87508
[41] eval-auc:0.703205 train-auc:0.877804
[42] eval-auc:0.702089 train-auc:0.880021
[43] eval-auc:0.701374 train-auc:0.883077
[44] eval-auc:0.701813 train-auc:0.88434
[45] eval-auc:0.701632 train-auc:0.884782
[46] eval-auc:0.701511 train-auc:0.886694
[47] eval-auc:0.701326 train-auc:0.887376
[48] eval-auc:0.702055 train-auc:0.888479
[49] eval-auc:0.700937 train-auc:0.890062
[50] eval-auc:0.703471 train-auc:0.893719
[51] eval-auc:0.703293 train-auc:0.895309
[52] eval-auc:0.703512 train-auc:0.895979
[53] eval-auc:0.703094 train-auc:0.897814
[54] eval-auc:0.703078 train-auc:0.898485
[55] eval-auc:0.703168 train-auc:0.90179
[56] eval-auc:0.703293 train-auc:0.902201
[57] eval-auc:0.703652 train-auc:0.902727
[58] eval-auc:0.702685 train-auc:0.904635
[59] eval-auc:0.704881 train-auc:0.905981
[60] eval-auc:0.704511 train-auc:0.907797
[61] eval-auc:0.703913 train-auc:0.909441
[62] eval-auc:0.703974 train-auc:0.909798
[63] eval-auc:0.704204 train-auc:0.910756
[64] eval-auc:0.705822 train-auc:0.912605
[65] eval-auc:0.706476 train-auc:0.913493
[66] eval-auc:0.706594 train-auc:0.91508
[67] eval-auc:0.704814 train-auc:0.91725
[68] eval-auc:0.703663 train-auc:0.918538
[69] eval-auc:0.70377 train-auc:0.919514
[70] eval-auc:0.703422 train-auc:0.919725
[71] eval-auc:0.703544 train-auc:0.921127
[72] eval-auc:0.703508 train-auc:0.92164
[73] eval-auc:0.703275 train-auc:0.923667
[74] eval-auc:0.703084 train-auc:0.924161
[75] eval-auc:0.70361 train-auc:0.924992
[76] eval-auc:0.703733 train-auc:0.926437
[77] eval-auc:0.704674 train-auc:0.927355
[78] eval-auc:0.704593 train-auc:0.928055
[79] eval-auc:0.704121 train-auc:0.928554
[80] eval-auc:0.704114 train-auc:0.930734
[81] eval-auc:0.702232 train-auc:0.932036
[82] eval-auc:0.701862 train-auc:0.932537
[83] eval-auc:0.701903 train-auc:0.933355
[84] eval-auc:0.701324 train-auc:0.934364
[85] eval-auc:0.701703 train-auc:0.935827
[86] eval-auc:0.701501 train-auc:0.936552
[87] eval-auc:0.702267 train-auc:0.937665
[88] eval-auc:0.702258 train-auc:0.938668
[89] eval-auc:0.701958 train-auc:0.939026
[90] eval-auc:0.702248 train-auc:0.939474
[91] eval-auc:0.701942 train-auc:0.940185
[92] eval-auc:0.701845 train-auc:0.941535
[93] eval-auc:0.702393 train-auc:0.94203
[94] eval-auc:0.702754 train-auc:0.942089
[95] eval-auc:0.702366 train-auc:0.942128
[96] eval-auc:0.70217 train-auc:0.943107
[97] eval-auc:0.703023 train-auc:0.943972
[98] eval-auc:0.703239 train-auc:0.94451
[99] eval-auc:0.703725 train-auc:0.944837
[100] eval-auc:0.703592 train-auc:0.944798
[101] eval-auc:0.70346 train-auc:0.945294
[102] eval-auc:0.703233 train-auc:0.945476
[103] eval-auc:0.703323 train-auc:0.946339
[104] eval-auc:0.703161 train-auc:0.946404
[105] eval-auc:0.701407 train-auc:0.947101
[106] eval-auc:0.701142 train-auc:0.948171
[107] eval-auc:0.701485 train-auc:0.94916
[108] eval-auc:0.702051 train-auc:0.95039
[109] eval-auc:0.701495 train-auc:0.950767
[110] eval-auc:0.701559 train-auc:0.95074
[111] eval-auc:0.701316 train-auc:0.950884
[112] eval-auc:0.701409 train-auc:0.951716
[113] eval-auc:0.700512 train-auc:0.952313
[114] eval-auc:0.700593 train-auc:0.952409
[115] eval-auc:0.699784 train-auc:0.953126
[116] eval-auc:0.698873 train-auc:0.954051
[117] eval-auc:0.698561 train-auc:0.954382
[118] eval-auc:0.699009 train-auc:0.955412
[119] eval-auc:0.699839 train-auc:0.956126
[120] eval-auc:0.699651 train-auc:0.956828
[121] eval-auc:0.700097 train-auc:0.957216
[122] eval-auc:0.700193 train-auc:0.957343
[123] eval-auc:0.699958 train-auc:0.957493
[124] eval-auc:0.699416 train-auc:0.957624
[125] eval-auc:0.698804 train-auc:0.958204
[126] eval-auc:0.698949 train-auc:0.958319
[127] eval-auc:0.69969 train-auc:0.958497
[128] eval-auc:0.699833 train-auc:0.958884
[129] eval-auc:0.699526 train-auc:0.959218
[130] eval-auc:0.699846 train-auc:0.959208
[131] eval-auc:0.701106 train-auc:0.959918
[132] eval-auc:0.700202 train-auc:0.960619
[133] eval-auc:0.699538 train-auc:0.96083
[134] eval-auc:0.699447 train-auc:0.961179
[135] eval-auc:0.699396 train-auc:0.961336
[136] eval-auc:0.698274 train-auc:0.961778
[137] eval-auc:0.69782 train-auc:0.962519
[138] eval-auc:0.698434 train-auc:0.962808
[139] eval-auc:0.698796 train-auc:0.963155
[140] eval-auc:0.698318 train-auc:0.963866
[141] eval-auc:0.698247 train-auc:0.963917
[142] eval-auc:0.698506 train-auc:0.964585
[143] eval-auc:0.697277 train-auc:0.965381
[144] eval-auc:0.697881 train-auc:0.965972
[145] eval-auc:0.697628 train-auc:0.966131
[146] eval-auc:0.696946 train-auc:0.966952
[147] eval-auc:0.697389 train-auc:0.96742
[148] eval-auc:0.69719 train-auc:0.967353
[149] eval-auc:0.697531 train-auc:0.967698
Score 0.6975310333905883
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8, 'eta': 0.5, 'eval_metric': 'auc', 'gamma': 0.75, 'max_depth': 10, 'min_child_weight': 2.0, 'n_estimators': 541.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.8500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.639113 train-auc:0.82485
[1] eval-auc:0.641709 train-auc:0.881619
[2] eval-auc:0.641001 train-auc:0.93237
[3] eval-auc:0.640966 train-auc:0.959133
[4] eval-auc:0.667471 train-auc:0.974276
[5] eval-auc:0.669687 train-auc:0.984645
[6] eval-auc:0.669114 train-auc:0.990699
[7] eval-auc:0.655605 train-auc:0.993089
[8] eval-auc:0.664673 train-auc:0.99545
[9] eval-auc:0.665147 train-auc:0.99706
[10] eval-auc:0.672078 train-auc:0.998735
[11] eval-auc:0.667853 train-auc:0.999224
[12] eval-auc:0.669779 train-auc:0.999455
[13] eval-auc:0.670591 train-auc:0.99968
[14] eval-auc:0.665744 train-auc:0.999819
[15] eval-auc:0.66318 train-auc:0.999925
[16] eval-auc:0.662327 train-auc:0.999927
[17] eval-auc:0.669144 train-auc:0.999936
[18] eval-auc:0.667691 train-auc:0.999945
[19] eval-auc:0.668555 train-auc:0.999952
[20] eval-auc:0.667233 train-auc:0.999918
[21] eval-auc:0.667988 train-auc:0.999981
[22] eval-auc:0.66801 train-auc:0.999985
[23] eval-auc:0.668972 train-auc:0.999986
[24] eval-auc:0.673373 train-auc:0.999999
[25] eval-auc:0.673193 train-auc:1
[26] eval-auc:0.670755 train-auc:1
[27] eval-auc:0.672749 train-auc:1
[28] eval-auc:0.672065 train-auc:1
[29] eval-auc:0.672547 train-auc:1
[30] eval-auc:0.675025 train-auc:1
[31] eval-auc:0.674547 train-auc:1
[32] eval-auc:0.674661 train-auc:1
[33] eval-auc:0.674335 train-auc:1
[34] eval-auc:0.672972 train-auc:1
[35] eval-auc:0.672549 train-auc:1
[36] eval-auc:0.672925 train-auc:1
[37] eval-auc:0.672152 train-auc:1
[38] eval-auc:0.671795 train-auc:1
[39] eval-auc:0.672301 train-auc:1
[40] eval-auc:0.671707 train-auc:1
[41] eval-auc:0.670679 train-auc:1
[42] eval-auc:0.670547 train-auc:1
[43] eval-auc:0.670678 train-auc:1
[44] eval-auc:0.670206 train-auc:1
[45] eval-auc:0.668138 train-auc:1
[46] eval-auc:0.66617 train-auc:1
[47] eval-auc:0.663673 train-auc:1
[48] eval-auc:0.664587 train-auc:1
[49] eval-auc:0.664818 train-auc:1
[50] eval-auc:0.663681 train-auc:1
[51] eval-auc:0.663536 train-auc:1
[52] eval-auc:0.663236 train-auc:1
[53] eval-auc:0.662941 train-auc:1
[54] eval-auc:0.663932 train-auc:1
[55] eval-auc:0.663875 train-auc:1
[56] eval-auc:0.663009 train-auc:1
[57] eval-auc:0.66307 train-auc:1
[58] eval-auc:0.663036 train-auc:1
[59] eval-auc:0.670084 train-auc:1
[60] eval-auc:0.67037 train-auc:1
[61] eval-auc:0.66972 train-auc:1
[62] eval-auc:0.670437 train-auc:1
[63] eval-auc:0.671341 train-auc:1
[64] eval-auc:0.671687 train-auc:1
[65] eval-auc:0.671265 train-auc:1
[66] eval-auc:0.671041 train-auc:1
[67] eval-auc:0.671468 train-auc:1
[68] eval-auc:0.672308 train-auc:1
[69] eval-auc:0.670808 train-auc:1
[70] eval-auc:0.673441 train-auc:1
[71] eval-auc:0.674078 train-auc:1
[72] eval-auc:0.673817 train-auc:1
[73] eval-auc:0.672765 train-auc:1
[74] eval-auc:0.67285 train-auc:1
[75] eval-auc:0.673205 train-auc:1
[76] eval-auc:0.672357 train-auc:1
[77] eval-auc:0.672095 train-auc:1
[78] eval-auc:0.672107 train-auc:1
[79] eval-auc:0.672337 train-auc:1
[80] eval-auc:0.672995 train-auc:1
[81] eval-auc:0.673271 train-auc:1
[82] eval-auc:0.673123 train-auc:1
[83] eval-auc:0.673932 train-auc:1
[84] eval-auc:0.673932 train-auc:1
[85] eval-auc:0.673083 train-auc:1
[86] eval-auc:0.672356 train-auc:1
[87] eval-auc:0.672482 train-auc:1
[88] eval-auc:0.672849 train-auc:1
[89] eval-auc:0.672243 train-auc:1
[90] eval-auc:0.671914 train-auc:1
[91] eval-auc:0.670574 train-auc:1
[92] eval-auc:0.670574 train-auc:1
[93] eval-auc:0.66963 train-auc:1
[94] eval-auc:0.668971 train-auc:1
[95] eval-auc:0.669266 train-auc:1
[96] eval-auc:0.669907 train-auc:1
[97] eval-auc:0.670125 train-auc:1
[98] eval-auc:0.669567 train-auc:1
[99] eval-auc:0.669666 train-auc:1
[100] eval-auc:0.669842 train-auc:1
[101] eval-auc:0.669842 train-auc:1
[102] eval-auc:0.669394 train-auc:1
[103] eval-auc:0.669394 train-auc:1
[104] eval-auc:0.669394 train-auc:1
[105] eval-auc:0.66949 train-auc:1
[106] eval-auc:0.66949 train-auc:1
[107] eval-auc:0.669522 train-auc:1
[108] eval-auc:0.669522 train-auc:1
[109] eval-auc:0.668666 train-auc:1
[110] eval-auc:0.668666 train-auc:1
[111] eval-auc:0.668666 train-auc:1
[112] eval-auc:0.668666 train-auc:1
[113] eval-auc:0.668666 train-auc:1
[114] eval-auc:0.668666 train-auc:1
[115] eval-auc:0.668462 train-auc:1
[116] eval-auc:0.672325 train-auc:1
[117] eval-auc:0.672325 train-auc:1
[118] eval-auc:0.672325 train-auc:1
[119] eval-auc:0.672325 train-auc:1
[120] eval-auc:0.672325 train-auc:1
[121] eval-auc:0.673341 train-auc:1
[122] eval-auc:0.673341 train-auc:1
[123] eval-auc:0.673341 train-auc:1
[124] eval-auc:0.673443 train-auc:1
[125] eval-auc:0.673443 train-auc:1
[126] eval-auc:0.672869 train-auc:1
[127] eval-auc:0.672869 train-auc:1
[128] eval-auc:0.672869 train-auc:1
[129] eval-auc:0.672493 train-auc:1
[130] eval-auc:0.672493 train-auc:1
[131] eval-auc:0.672226 train-auc:1
[132] eval-auc:0.671544 train-auc:1
[133] eval-auc:0.671795 train-auc:1
[134] eval-auc:0.672168 train-auc:1
[135] eval-auc:0.672168 train-auc:1
[136] eval-auc:0.672168 train-auc:1
[137] eval-auc:0.67213 train-auc:1
[138] eval-auc:0.67213 train-auc:1
[139] eval-auc:0.67213 train-auc:1
[140] eval-auc:0.67176 train-auc:1
[141] eval-auc:0.67176 train-auc:1
[142] eval-auc:0.67176 train-auc:1
[143] eval-auc:0.671775 train-auc:1
[144] eval-auc:0.672065 train-auc:1
[145] eval-auc:0.672065 train-auc:1
[146] eval-auc:0.672065 train-auc:1
[147] eval-auc:0.672065 train-auc:1
[148] eval-auc:0.672065 train-auc:1
[149] eval-auc:0.672065 train-auc:1
[150] eval-auc:0.672065 train-auc:1
[151] eval-auc:0.672065 train-auc:1
[152] eval-auc:0.671844 train-auc:1
[153] eval-auc:0.671844 train-auc:1
[154] eval-auc:0.672907 train-auc:1
[155] eval-auc:0.672907 train-auc:1
[156] eval-auc:0.672465 train-auc:1
[157] eval-auc:0.672465 train-auc:1
[158] eval-auc:0.67231 train-auc:1
[159] eval-auc:0.672258 train-auc:1
[160] eval-auc:0.672258 train-auc:1
[161] eval-auc:0.672619 train-auc:1
[162] eval-auc:0.672619 train-auc:1
[163] eval-auc:0.672619 train-auc:1
[164] eval-auc:0.672619 train-auc:1
[165] eval-auc:0.671791 train-auc:1
[166] eval-auc:0.671702 train-auc:1
[167] eval-auc:0.671702 train-auc:1
[168] eval-auc:0.671376 train-auc:1
[169] eval-auc:0.671376 train-auc:1
[170] eval-auc:0.671376 train-auc:1
[171] eval-auc:0.671698 train-auc:1
[172] eval-auc:0.671698 train-auc:1
[173] eval-auc:0.671698 train-auc:1
[174] eval-auc:0.671698 train-auc:1
[175] eval-auc:0.671698 train-auc:1
[176] eval-auc:0.671803 train-auc:1
[177] eval-auc:0.671803 train-auc:1
[178] eval-auc:0.671803 train-auc:1
[179] eval-auc:0.671803 train-auc:1
[180] eval-auc:0.671803 train-auc:1
[181] eval-auc:0.671975 train-auc:1
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[311] eval-auc:0.678798 train-auc:1
[312] eval-auc:0.67878 train-auc:1
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[314] eval-auc:0.67878 train-auc:1
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[316] eval-auc:0.678153 train-auc:1
[317] eval-auc:0.677956 train-auc:1
[318] eval-auc:0.677956 train-auc:1
[319] eval-auc:0.677956 train-auc:1
[320] eval-auc:0.677947 train-auc:1
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[322] eval-auc:0.678212 train-auc:1
[323] eval-auc:0.678212 train-auc:1
[324] eval-auc:0.678212 train-auc:1
[325] eval-auc:0.678212 train-auc:1
[326] eval-auc:0.678212 train-auc:1
[327] eval-auc:0.678212 train-auc:1
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[330] eval-auc:0.678212 train-auc:1
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[340] eval-auc:0.678212 train-auc:1
[341] eval-auc:0.678212 train-auc:1
[342] eval-auc:0.678212 train-auc:1
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[344] eval-auc:0.678212 train-auc:1
[345] eval-auc:0.678212 train-auc:1
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[348] eval-auc:0.678212 train-auc:1
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[350] eval-auc:0.678212 train-auc:1
[351] eval-auc:0.67793 train-auc:1
[352] eval-auc:0.67793 train-auc:1
[353] eval-auc:0.67793 train-auc:1
[354] eval-auc:0.67793 train-auc:1
[355] eval-auc:0.67793 train-auc:1
[356] eval-auc:0.67793 train-auc:1
[357] eval-auc:0.67793 train-auc:1
[358] eval-auc:0.67793 train-auc:1
[359] eval-auc:0.67793 train-auc:1
[360] eval-auc:0.67793 train-auc:1
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[362] eval-auc:0.678409 train-auc:1
[363] eval-auc:0.678409 train-auc:1
[364] eval-auc:0.678762 train-auc:1
[365] eval-auc:0.678762 train-auc:1
[366] eval-auc:0.678762 train-auc:1
[367] eval-auc:0.678762 train-auc:1
[368] eval-auc:0.678762 train-auc:1
[369] eval-auc:0.67848 train-auc:1
[370] eval-auc:0.67848 train-auc:1
[371] eval-auc:0.67848 train-auc:1
[372] eval-auc:0.67848 train-auc:1
[373] eval-auc:0.67848 train-auc:1
[374] eval-auc:0.67848 train-auc:1
[375] eval-auc:0.67848 train-auc:1
[376] eval-auc:0.67848 train-auc:1
[377] eval-auc:0.67848 train-auc:1
[378] eval-auc:0.67848 train-auc:1
[379] eval-auc:0.67848 train-auc:1
[380] eval-auc:0.67848 train-auc:1
[381] eval-auc:0.67848 train-auc:1
[382] eval-auc:0.67848 train-auc:1
[383] eval-auc:0.67848 train-auc:1
[384] eval-auc:0.67848 train-auc:1
[385] eval-auc:0.67848 train-auc:1
[386] eval-auc:0.67848 train-auc:1
[387] eval-auc:0.67848 train-auc:1
[388] eval-auc:0.67848 train-auc:1
[389] eval-auc:0.678855 train-auc:1
[390] eval-auc:0.678248 train-auc:1
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[392] eval-auc:0.678248 train-auc:1
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[395] eval-auc:0.678669 train-auc:1
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[400] eval-auc:0.678669 train-auc:1
[401] eval-auc:0.681897 train-auc:1
[402] eval-auc:0.681897 train-auc:1
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[405] eval-auc:0.681676 train-auc:1
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[411] eval-auc:0.681676 train-auc:1
[412] eval-auc:0.681676 train-auc:1
[413] eval-auc:0.681513 train-auc:1
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[415] eval-auc:0.681513 train-auc:1
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[424] eval-auc:0.68167 train-auc:1
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[426] eval-auc:0.68167 train-auc:1
[427] eval-auc:0.68167 train-auc:1
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[429] eval-auc:0.681698 train-auc:1
[430] eval-auc:0.681698 train-auc:1
[431] eval-auc:0.681698 train-auc:1
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[434] eval-auc:0.681698 train-auc:1
[435] eval-auc:0.681698 train-auc:1
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[439] eval-auc:0.681698 train-auc:1
[440] eval-auc:0.681698 train-auc:1
[441] eval-auc:0.681698 train-auc:1
[442] eval-auc:0.681698 train-auc:1
[443] eval-auc:0.681621 train-auc:1
[444] eval-auc:0.681621 train-auc:1
[445] eval-auc:0.681621 train-auc:1
[446] eval-auc:0.681621 train-auc:1
[447] eval-auc:0.681621 train-auc:1
[448] eval-auc:0.681621 train-auc:1
[449] eval-auc:0.681621 train-auc:1
[450] eval-auc:0.681621 train-auc:1
[451] eval-auc:0.681621 train-auc:1
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[453] eval-auc:0.681861 train-auc:1
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[460] eval-auc:0.681861 train-auc:1
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[469] eval-auc:0.681861 train-auc:1
[470] eval-auc:0.681861 train-auc:1
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[472] eval-auc:0.681868 train-auc:1
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[474] eval-auc:0.682086 train-auc:1
[475] eval-auc:0.682086 train-auc:1
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[480] eval-auc:0.682086 train-auc:1
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[484] eval-auc:0.682086 train-auc:1
[485] eval-auc:0.682086 train-auc:1
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[488] eval-auc:0.681763 train-auc:1
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[492] eval-auc:0.681763 train-auc:1
[493] eval-auc:0.681763 train-auc:1
[494] eval-auc:0.681629 train-auc:1
[495] eval-auc:0.681629 train-auc:1
[496] eval-auc:0.681629 train-auc:1
[497] eval-auc:0.681629 train-auc:1
[498] eval-auc:0.681629 train-auc:1
[499] eval-auc:0.681629 train-auc:1
[500] eval-auc:0.681629 train-auc:1
[501] eval-auc:0.681629 train-auc:1
[502] eval-auc:0.681629 train-auc:1
[503] eval-auc:0.681629 train-auc:1
[504] eval-auc:0.681629 train-auc:1
[505] eval-auc:0.681629 train-auc:1
[506] eval-auc:0.681629 train-auc:1
[507] eval-auc:0.681629 train-auc:1
[508] eval-auc:0.681629 train-auc:1
[509] eval-auc:0.681629 train-auc:1
[510] eval-auc:0.681289 train-auc:1
[511] eval-auc:0.681289 train-auc:1
[512] eval-auc:0.681289 train-auc:1
[513] eval-auc:0.681289 train-auc:1
[514] eval-auc:0.681289 train-auc:1
[515] eval-auc:0.681289 train-auc:1
[516] eval-auc:0.681289 train-auc:1
[517] eval-auc:0.681289 train-auc:1
[518] eval-auc:0.681289 train-auc:1
[519] eval-auc:0.680918 train-auc:1
[520] eval-auc:0.680918 train-auc:1
[521] eval-auc:0.680918 train-auc:1
[522] eval-auc:0.680918 train-auc:1
[523] eval-auc:0.680918 train-auc:1
[524] eval-auc:0.680918 train-auc:1
[525] eval-auc:0.680918 train-auc:1
[526] eval-auc:0.680918 train-auc:1
[527] eval-auc:0.680918 train-auc:1
[528] eval-auc:0.680918 train-auc:1
[529] eval-auc:0.680918 train-auc:1
[530] eval-auc:0.680918 train-auc:1
[531] eval-auc:0.680918 train-auc:1
[532] eval-auc:0.680918 train-auc:1
[533] eval-auc:0.680918 train-auc:1
[534] eval-auc:0.680918 train-auc:1
[535] eval-auc:0.680918 train-auc:1
[536] eval-auc:0.680918 train-auc:1
[537] eval-auc:0.680918 train-auc:1
[538] eval-auc:0.680918 train-auc:1
[539] eval-auc:0.680918 train-auc:1
[540] eval-auc:0.680918 train-auc:1
Score 0.6809179670845059
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9500000000000001, 'eta': 0.07500000000000001, 'eval_metric': 'auc', 'gamma': 0.6000000000000001, 'max_depth': 8, 'min_child_weight': 3.0, 'n_estimators': 697.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.693734 train-auc:0.824371
[1] eval-auc:0.665794 train-auc:0.879213
[2] eval-auc:0.673045 train-auc:0.902484
[3] eval-auc:0.660683 train-auc:0.899769
[4] eval-auc:0.673645 train-auc:0.907856
[5] eval-auc:0.681486 train-auc:0.922225
[6] eval-auc:0.688535 train-auc:0.930826
[7] eval-auc:0.69083 train-auc:0.935348
[8] eval-auc:0.689783 train-auc:0.937969
[9] eval-auc:0.689984 train-auc:0.943963
[10] eval-auc:0.692859 train-auc:0.949085
[11] eval-auc:0.695079 train-auc:0.955294
[12] eval-auc:0.696722 train-auc:0.959774
[13] eval-auc:0.697676 train-auc:0.963259
[14] eval-auc:0.697909 train-auc:0.964478
[15] eval-auc:0.697494 train-auc:0.972631
[16] eval-auc:0.695325 train-auc:0.975258
[17] eval-auc:0.69371 train-auc:0.976611
[18] eval-auc:0.695365 train-auc:0.977334
[19] eval-auc:0.695427 train-auc:0.977406
[20] eval-auc:0.695736 train-auc:0.980528
[21] eval-auc:0.695134 train-auc:0.980397
[22] eval-auc:0.695631 train-auc:0.981221
[23] eval-auc:0.696309 train-auc:0.982129
[24] eval-auc:0.697724 train-auc:0.984349
[25] eval-auc:0.69806 train-auc:0.985511
[26] eval-auc:0.699472 train-auc:0.986721
[27] eval-auc:0.699127 train-auc:0.987994
[28] eval-auc:0.698367 train-auc:0.988862
[29] eval-auc:0.698355 train-auc:0.989087
[30] eval-auc:0.699482 train-auc:0.989795
[31] eval-auc:0.700143 train-auc:0.990054
[32] eval-auc:0.701368 train-auc:0.99033
[33] eval-auc:0.699806 train-auc:0.991613
[34] eval-auc:0.699861 train-auc:0.992253
[35] eval-auc:0.699451 train-auc:0.99314
[36] eval-auc:0.699859 train-auc:0.993762
[37] eval-auc:0.701111 train-auc:0.994083
[38] eval-auc:0.701283 train-auc:0.994276
[39] eval-auc:0.701441 train-auc:0.994464
[40] eval-auc:0.701874 train-auc:0.99475
[41] eval-auc:0.702734 train-auc:0.994931
[42] eval-auc:0.703014 train-auc:0.995287
[43] eval-auc:0.703116 train-auc:0.995358
[44] eval-auc:0.70355 train-auc:0.99567
[45] eval-auc:0.703677 train-auc:0.995855
[46] eval-auc:0.70366 train-auc:0.996029
[47] eval-auc:0.704429 train-auc:0.996208
[48] eval-auc:0.704802 train-auc:0.996421
[49] eval-auc:0.705034 train-auc:0.996597
[50] eval-auc:0.704898 train-auc:0.997128
[51] eval-auc:0.705012 train-auc:0.997092
[52] eval-auc:0.704683 train-auc:0.997394
[53] eval-auc:0.705472 train-auc:0.997572
[54] eval-auc:0.704639 train-auc:0.997743
[55] eval-auc:0.704662 train-auc:0.997766
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[465] eval-auc:0.694126 train-auc:1
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[485] eval-auc:0.693065 train-auc:1
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[567] eval-auc:0.693082 train-auc:1
[568] eval-auc:0.693211 train-auc:1
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[570] eval-auc:0.693159 train-auc:1
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[573] eval-auc:0.693126 train-auc:1
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[578] eval-auc:0.693121 train-auc:1
[579] eval-auc:0.693108 train-auc:1
[580] eval-auc:0.693108 train-auc:1
[581] eval-auc:0.693108 train-auc:1
[582] eval-auc:0.693108 train-auc:1
[583] eval-auc:0.693108 train-auc:1
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[585] eval-auc:0.693108 train-auc:1
[586] eval-auc:0.693108 train-auc:1
[587] eval-auc:0.693108 train-auc:1
[588] eval-auc:0.693108 train-auc:1
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[590] eval-auc:0.693108 train-auc:1
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[592] eval-auc:0.693108 train-auc:1
[593] eval-auc:0.693108 train-auc:1
[594] eval-auc:0.693108 train-auc:1
[595] eval-auc:0.693108 train-auc:1
[596] eval-auc:0.693108 train-auc:1
[597] eval-auc:0.693108 train-auc:1
[598] eval-auc:0.693108 train-auc:1
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[600] eval-auc:0.693108 train-auc:1
[601] eval-auc:0.693108 train-auc:1
[602] eval-auc:0.693108 train-auc:1
[603] eval-auc:0.693108 train-auc:1
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[605] eval-auc:0.692919 train-auc:1
[606] eval-auc:0.692899 train-auc:1
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[620] eval-auc:0.692899 train-auc:1
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[622] eval-auc:0.692899 train-auc:1
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[624] eval-auc:0.692899 train-auc:1
[625] eval-auc:0.692899 train-auc:1
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[627] eval-auc:0.692899 train-auc:1
[628] eval-auc:0.692899 train-auc:1
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[630] eval-auc:0.692899 train-auc:1
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[632] eval-auc:0.692932 train-auc:1
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[634] eval-auc:0.693127 train-auc:1
[635] eval-auc:0.693173 train-auc:1
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[638] eval-auc:0.693199 train-auc:1
[639] eval-auc:0.693225 train-auc:1
[640] eval-auc:0.693072 train-auc:1
[641] eval-auc:0.693072 train-auc:1
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[644] eval-auc:0.693589 train-auc:1
[645] eval-auc:0.693525 train-auc:1
[646] eval-auc:0.693517 train-auc:1
[647] eval-auc:0.693512 train-auc:1
[648] eval-auc:0.693312 train-auc:1
[649] eval-auc:0.693946 train-auc:1
[650] eval-auc:0.69435 train-auc:1
[651] eval-auc:0.694283 train-auc:1
[652] eval-auc:0.694303 train-auc:1
[653] eval-auc:0.694303 train-auc:1
[654] eval-auc:0.694303 train-auc:1
[655] eval-auc:0.694303 train-auc:1
[656] eval-auc:0.694303 train-auc:1
[657] eval-auc:0.694303 train-auc:1
[658] eval-auc:0.694303 train-auc:1
[659] eval-auc:0.694303 train-auc:1
[660] eval-auc:0.694303 train-auc:1
[661] eval-auc:0.694819 train-auc:1
[662] eval-auc:0.694819 train-auc:1
[663] eval-auc:0.694839 train-auc:1
[664] eval-auc:0.694839 train-auc:1
[665] eval-auc:0.694839 train-auc:1
[666] eval-auc:0.694839 train-auc:1
[667] eval-auc:0.694839 train-auc:1
[668] eval-auc:0.694839 train-auc:1
[669] eval-auc:0.694839 train-auc:1
[670] eval-auc:0.694839 train-auc:1
[671] eval-auc:0.694807 train-auc:1
[672] eval-auc:0.694763 train-auc:1
[673] eval-auc:0.694764 train-auc:1
[674] eval-auc:0.694764 train-auc:1
[675] eval-auc:0.694764 train-auc:1
[676] eval-auc:0.694805 train-auc:1
[677] eval-auc:0.69484 train-auc:1
[678] eval-auc:0.69484 train-auc:1
[679] eval-auc:0.69484 train-auc:1
[680] eval-auc:0.69484 train-auc:1
[681] eval-auc:0.69484 train-auc:1
[682] eval-auc:0.69484 train-auc:1
[683] eval-auc:0.69484 train-auc:1
[684] eval-auc:0.69484 train-auc:1
[685] eval-auc:0.69484 train-auc:1
[686] eval-auc:0.69484 train-auc:1
[687] eval-auc:0.69484 train-auc:1
[688] eval-auc:0.69484 train-auc:1
[689] eval-auc:0.69484 train-auc:1
[690] eval-auc:0.69484 train-auc:1
[691] eval-auc:0.69484 train-auc:1
[692] eval-auc:0.69484 train-auc:1
[693] eval-auc:0.69484 train-auc:1
[694] eval-auc:0.69484 train-auc:1
[695] eval-auc:0.69484 train-auc:1
[696] eval-auc:0.69484 train-auc:1
Score 0.6948403561987598
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.75, 'eta': 0.125, 'eval_metric': 'auc', 'gamma': 0.8, 'max_depth': 3, 'min_child_weight': 6.0, 'n_estimators': 809.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.67802 train-auc:0.692356
[1] eval-auc:0.667424 train-auc:0.707679
[2] eval-auc:0.685747 train-auc:0.721882
[3] eval-auc:0.68066 train-auc:0.729555
[4] eval-auc:0.693494 train-auc:0.73674
[5] eval-auc:0.690266 train-auc:0.732127
[6] eval-auc:0.695453 train-auc:0.737699
[7] eval-auc:0.693331 train-auc:0.739512
[8] eval-auc:0.697974 train-auc:0.742584
[9] eval-auc:0.700669 train-auc:0.740058
[10] eval-auc:0.699357 train-auc:0.743231
[11] eval-auc:0.69724 train-auc:0.745025
[12] eval-auc:0.695167 train-auc:0.743549
[13] eval-auc:0.697456 train-auc:0.744271
[14] eval-auc:0.69654 train-auc:0.74479
[15] eval-auc:0.694074 train-auc:0.746216
[16] eval-auc:0.696175 train-auc:0.749309
[17] eval-auc:0.698202 train-auc:0.75536
[18] eval-auc:0.697708 train-auc:0.757631
[19] eval-auc:0.697309 train-auc:0.762505
[20] eval-auc:0.69832 train-auc:0.761046
[21] eval-auc:0.699386 train-auc:0.760764
[22] eval-auc:0.700016 train-auc:0.764446
[23] eval-auc:0.698631 train-auc:0.768207
[24] eval-auc:0.699192 train-auc:0.77032
[25] eval-auc:0.699793 train-auc:0.772062
[26] eval-auc:0.700963 train-auc:0.773317
[27] eval-auc:0.701813 train-auc:0.778742
[28] eval-auc:0.703031 train-auc:0.779632
[29] eval-auc:0.70459 train-auc:0.781123
[30] eval-auc:0.706637 train-auc:0.784249
[31] eval-auc:0.707605 train-auc:0.785201
[32] eval-auc:0.708192 train-auc:0.785773
[33] eval-auc:0.70981 train-auc:0.788242
[34] eval-auc:0.710088 train-auc:0.790743
[35] eval-auc:0.70936 train-auc:0.792387
[36] eval-auc:0.709311 train-auc:0.793345
[37] eval-auc:0.710448 train-auc:0.794345
[38] eval-auc:0.710354 train-auc:0.796017
[39] eval-auc:0.710034 train-auc:0.798011
[40] eval-auc:0.709363 train-auc:0.799586
[41] eval-auc:0.709021 train-auc:0.801695
[42] eval-auc:0.707946 train-auc:0.80292
[43] eval-auc:0.706514 train-auc:0.804116
[44] eval-auc:0.706614 train-auc:0.804089
[45] eval-auc:0.706511 train-auc:0.804844
[46] eval-auc:0.706658 train-auc:0.806202
[47] eval-auc:0.706796 train-auc:0.807273
[48] eval-auc:0.707794 train-auc:0.807119
[49] eval-auc:0.708272 train-auc:0.809099
[50] eval-auc:0.70757 train-auc:0.810828
[51] eval-auc:0.706639 train-auc:0.811791
[52] eval-auc:0.707182 train-auc:0.812387
[53] eval-auc:0.707314 train-auc:0.814226
[54] eval-auc:0.707539 train-auc:0.81467
[55] eval-auc:0.707614 train-auc:0.814708
[56] eval-auc:0.707229 train-auc:0.815709
[57] eval-auc:0.707023 train-auc:0.815829
[58] eval-auc:0.707716 train-auc:0.816735
[59] eval-auc:0.707733 train-auc:0.818449
[60] eval-auc:0.707572 train-auc:0.818775
[61] eval-auc:0.70749 train-auc:0.820491
[62] eval-auc:0.707605 train-auc:0.820639
[63] eval-auc:0.707706 train-auc:0.822845
[64] eval-auc:0.706891 train-auc:0.824271
[65] eval-auc:0.706738 train-auc:0.82431
[66] eval-auc:0.708071 train-auc:0.827605
[67] eval-auc:0.707251 train-auc:0.82897
[68] eval-auc:0.707057 train-auc:0.830789
[69] eval-auc:0.707957 train-auc:0.832425
[70] eval-auc:0.708093 train-auc:0.836844
[71] eval-auc:0.707773 train-auc:0.837961
[72] eval-auc:0.707735 train-auc:0.83897
[73] eval-auc:0.707146 train-auc:0.841016
[74] eval-auc:0.707302 train-auc:0.841502
[75] eval-auc:0.708723 train-auc:0.842903
[76] eval-auc:0.708947 train-auc:0.844342
[77] eval-auc:0.70729 train-auc:0.845412
[78] eval-auc:0.707139 train-auc:0.845794
[79] eval-auc:0.707965 train-auc:0.847316
[80] eval-auc:0.708734 train-auc:0.850486
[81] eval-auc:0.710169 train-auc:0.852257
[82] eval-auc:0.709906 train-auc:0.853747
[83] eval-auc:0.709245 train-auc:0.85421
[84] eval-auc:0.708394 train-auc:0.854611
[85] eval-auc:0.709089 train-auc:0.856567
[86] eval-auc:0.709051 train-auc:0.85623
[87] eval-auc:0.709016 train-auc:0.856585
[88] eval-auc:0.709812 train-auc:0.857901
[89] eval-auc:0.708939 train-auc:0.858422
[90] eval-auc:0.708703 train-auc:0.858378
[91] eval-auc:0.707866 train-auc:0.860177
[92] eval-auc:0.708498 train-auc:0.862736
[93] eval-auc:0.708886 train-auc:0.862995
[94] eval-auc:0.70953 train-auc:0.864158
[95] eval-auc:0.710315 train-auc:0.865187
[96] eval-auc:0.710325 train-auc:0.86568
[97] eval-auc:0.709824 train-auc:0.867392
[98] eval-auc:0.710135 train-auc:0.867762
[99] eval-auc:0.710677 train-auc:0.868447
[100] eval-auc:0.71115 train-auc:0.869833
[101] eval-auc:0.711428 train-auc:0.87076
[102] eval-auc:0.711217 train-auc:0.870876
[103] eval-auc:0.712117 train-auc:0.871295
[104] eval-auc:0.712436 train-auc:0.871707
[105] eval-auc:0.711393 train-auc:0.871826
[106] eval-auc:0.711032 train-auc:0.872261
[107] eval-auc:0.711502 train-auc:0.873222
[108] eval-auc:0.711788 train-auc:0.874143
[109] eval-auc:0.711341 train-auc:0.874227
[110] eval-auc:0.710867 train-auc:0.875674
[111] eval-auc:0.710922 train-auc:0.876498
[112] eval-auc:0.711112 train-auc:0.876873
[113] eval-auc:0.711213 train-auc:0.877396
[114] eval-auc:0.711376 train-auc:0.877625
[115] eval-auc:0.711255 train-auc:0.878516
[116] eval-auc:0.711003 train-auc:0.878284
[117] eval-auc:0.71031 train-auc:0.879441
[118] eval-auc:0.710599 train-auc:0.879755
[119] eval-auc:0.710811 train-auc:0.881042
[120] eval-auc:0.710849 train-auc:0.881642
[121] eval-auc:0.710602 train-auc:0.881936
[122] eval-auc:0.709454 train-auc:0.882755
[123] eval-auc:0.709584 train-auc:0.88376
[124] eval-auc:0.709753 train-auc:0.884174
[125] eval-auc:0.709063 train-auc:0.885394
[126] eval-auc:0.708741 train-auc:0.885878
[127] eval-auc:0.708973 train-auc:0.886581
[128] eval-auc:0.709515 train-auc:0.887296
[129] eval-auc:0.709836 train-auc:0.887213
[130] eval-auc:0.710235 train-auc:0.887766
[131] eval-auc:0.711418 train-auc:0.888686
[132] eval-auc:0.710503 train-auc:0.889605
[133] eval-auc:0.710904 train-auc:0.890253
[134] eval-auc:0.710327 train-auc:0.890137
[135] eval-auc:0.710209 train-auc:0.890576
[136] eval-auc:0.709885 train-auc:0.890932
[137] eval-auc:0.70927 train-auc:0.892225
[138] eval-auc:0.710244 train-auc:0.892411
[139] eval-auc:0.711511 train-auc:0.893304
[140] eval-auc:0.711636 train-auc:0.893962
[141] eval-auc:0.712213 train-auc:0.894169
[142] eval-auc:0.711394 train-auc:0.894809
[143] eval-auc:0.711144 train-auc:0.895498
[144] eval-auc:0.710943 train-auc:0.896681
[145] eval-auc:0.710526 train-auc:0.897089
[146] eval-auc:0.709905 train-auc:0.89824
[147] eval-auc:0.709631 train-auc:0.89825
[148] eval-auc:0.709384 train-auc:0.898457
[149] eval-auc:0.709526 train-auc:0.89873
[150] eval-auc:0.709229 train-auc:0.899577
[151] eval-auc:0.709297 train-auc:0.900378
[152] eval-auc:0.709498 train-auc:0.900448
[153] eval-auc:0.709839 train-auc:0.900448
[154] eval-auc:0.709981 train-auc:0.90081
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[550] eval-auc:0.706791 train-auc:0.976127
[551] eval-auc:0.706954 train-auc:0.97625
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[560] eval-auc:0.707027 train-auc:0.976805
[561] eval-auc:0.707028 train-auc:0.976929
[562] eval-auc:0.707126 train-auc:0.97699
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[564] eval-auc:0.706911 train-auc:0.977218
[565] eval-auc:0.706852 train-auc:0.977197
[566] eval-auc:0.706981 train-auc:0.977288
[567] eval-auc:0.706963 train-auc:0.977356
[568] eval-auc:0.706989 train-auc:0.977413
[569] eval-auc:0.706864 train-auc:0.977458
[570] eval-auc:0.706444 train-auc:0.977539
[571] eval-auc:0.706479 train-auc:0.977555
[572] eval-auc:0.706683 train-auc:0.977556
[573] eval-auc:0.706741 train-auc:0.977614
[574] eval-auc:0.706809 train-auc:0.977687
[575] eval-auc:0.706709 train-auc:0.977817
[576] eval-auc:0.706661 train-auc:0.977863
[577] eval-auc:0.706722 train-auc:0.977855
[578] eval-auc:0.706663 train-auc:0.977939
[579] eval-auc:0.70653 train-auc:0.97806
[580] eval-auc:0.706559 train-auc:0.978081
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[583] eval-auc:0.706509 train-auc:0.978237
[584] eval-auc:0.706518 train-auc:0.978339
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[600] eval-auc:0.70532 train-auc:0.979652
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[602] eval-auc:0.70556 train-auc:0.979809
[603] eval-auc:0.705675 train-auc:0.979883
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[605] eval-auc:0.705781 train-auc:0.980135
[606] eval-auc:0.705341 train-auc:0.980182
[607] eval-auc:0.705203 train-auc:0.980342
[608] eval-auc:0.705081 train-auc:0.980421
[609] eval-auc:0.705058 train-auc:0.980429
[610] eval-auc:0.704677 train-auc:0.9806
[611] eval-auc:0.704706 train-auc:0.98064
[612] eval-auc:0.70466 train-auc:0.980606
[613] eval-auc:0.704664 train-auc:0.980646
[614] eval-auc:0.704743 train-auc:0.980724
[615] eval-auc:0.704373 train-auc:0.980764
[616] eval-auc:0.704181 train-auc:0.980753
[617] eval-auc:0.704166 train-auc:0.980838
[618] eval-auc:0.704118 train-auc:0.980916
[619] eval-auc:0.703939 train-auc:0.980937
[620] eval-auc:0.703933 train-auc:0.980972
[621] eval-auc:0.703774 train-auc:0.980996
[622] eval-auc:0.703896 train-auc:0.981044
[623] eval-auc:0.70389 train-auc:0.981141
[624] eval-auc:0.703863 train-auc:0.981274
[625] eval-auc:0.703503 train-auc:0.981336
[626] eval-auc:0.703768 train-auc:0.981484
[627] eval-auc:0.703736 train-auc:0.981548
[628] eval-auc:0.703963 train-auc:0.981642
[629] eval-auc:0.704093 train-auc:0.981738
[630] eval-auc:0.70419 train-auc:0.981795
[631] eval-auc:0.704636 train-auc:0.981897
[632] eval-auc:0.704516 train-auc:0.981898
[633] eval-auc:0.704603 train-auc:0.981976
[634] eval-auc:0.704566 train-auc:0.982031
[635] eval-auc:0.704808 train-auc:0.982051
[636] eval-auc:0.705041 train-auc:0.982129
[637] eval-auc:0.705151 train-auc:0.982201
[638] eval-auc:0.70528 train-auc:0.982251
[639] eval-auc:0.705096 train-auc:0.982359
[640] eval-auc:0.705177 train-auc:0.982466
[641] eval-auc:0.705356 train-auc:0.98258
[642] eval-auc:0.705369 train-auc:0.982587
[643] eval-auc:0.705542 train-auc:0.982549
[644] eval-auc:0.705061 train-auc:0.982589
[645] eval-auc:0.704636 train-auc:0.982656
[646] eval-auc:0.704339 train-auc:0.982677
[647] eval-auc:0.704388 train-auc:0.982666
[648] eval-auc:0.704399 train-auc:0.982675
[649] eval-auc:0.704654 train-auc:0.982722
[650] eval-auc:0.704446 train-auc:0.982738
[651] eval-auc:0.704495 train-auc:0.982784
[652] eval-auc:0.704627 train-auc:0.982882
[653] eval-auc:0.704598 train-auc:0.982936
[654] eval-auc:0.704804 train-auc:0.982993
[655] eval-auc:0.704887 train-auc:0.983031
[656] eval-auc:0.705108 train-auc:0.983108
[657] eval-auc:0.704929 train-auc:0.983121
[658] eval-auc:0.70509 train-auc:0.983173
[659] eval-auc:0.704708 train-auc:0.983197
[660] eval-auc:0.704575 train-auc:0.98323
[661] eval-auc:0.704601 train-auc:0.983374
[662] eval-auc:0.704773 train-auc:0.983534
[663] eval-auc:0.704766 train-auc:0.983574
[664] eval-auc:0.704798 train-auc:0.983583
[665] eval-auc:0.704953 train-auc:0.983629
[666] eval-auc:0.704895 train-auc:0.983649
[667] eval-auc:0.704857 train-auc:0.983665
[668] eval-auc:0.705105 train-auc:0.983646
[669] eval-auc:0.705306 train-auc:0.983656
[670] eval-auc:0.705166 train-auc:0.983771
[671] eval-auc:0.704788 train-auc:0.983834
[672] eval-auc:0.704898 train-auc:0.983846
[673] eval-auc:0.705006 train-auc:0.98386
[674] eval-auc:0.705265 train-auc:0.983943
[675] eval-auc:0.705186 train-auc:0.983952
[676] eval-auc:0.705021 train-auc:0.983976
[677] eval-auc:0.705075 train-auc:0.983934
[678] eval-auc:0.704979 train-auc:0.984035
[679] eval-auc:0.705172 train-auc:0.984052
[680] eval-auc:0.70495 train-auc:0.984144
[681] eval-auc:0.704688 train-auc:0.984193
[682] eval-auc:0.704673 train-auc:0.984202
[683] eval-auc:0.70475 train-auc:0.984244
[684] eval-auc:0.705044 train-auc:0.984226
[685] eval-auc:0.704956 train-auc:0.984298
[686] eval-auc:0.705017 train-auc:0.984315
[687] eval-auc:0.705097 train-auc:0.984375
[688] eval-auc:0.705149 train-auc:0.984362
[689] eval-auc:0.704996 train-auc:0.984452
[690] eval-auc:0.705143 train-auc:0.984466
[691] eval-auc:0.70521 train-auc:0.984469
[692] eval-auc:0.705219 train-auc:0.984495
[693] eval-auc:0.70534 train-auc:0.984463
[694] eval-auc:0.705595 train-auc:0.984425
[695] eval-auc:0.705594 train-auc:0.984431
[696] eval-auc:0.705443 train-auc:0.984479
[697] eval-auc:0.705635 train-auc:0.984485
[698] eval-auc:0.705449 train-auc:0.984593
[699] eval-auc:0.70528 train-auc:0.98461
[700] eval-auc:0.70525 train-auc:0.984615
[701] eval-auc:0.705471 train-auc:0.984599
[702] eval-auc:0.705292 train-auc:0.984623
[703] eval-auc:0.705801 train-auc:0.984721
[704] eval-auc:0.705801 train-auc:0.984775
[705] eval-auc:0.705976 train-auc:0.984779
[706] eval-auc:0.705847 train-auc:0.984824
[707] eval-auc:0.705836 train-auc:0.984973
[708] eval-auc:0.705525 train-auc:0.985013
[709] eval-auc:0.705548 train-auc:0.985052
[710] eval-auc:0.705518 train-auc:0.985133
[711] eval-auc:0.705768 train-auc:0.98522
[712] eval-auc:0.705796 train-auc:0.985293
[713] eval-auc:0.705635 train-auc:0.985316
[714] eval-auc:0.705746 train-auc:0.985357
[715] eval-auc:0.70533 train-auc:0.985405
[716] eval-auc:0.705334 train-auc:0.985416
[717] eval-auc:0.705228 train-auc:0.985423
[718] eval-auc:0.705318 train-auc:0.985444
[719] eval-auc:0.705151 train-auc:0.985414
[720] eval-auc:0.705143 train-auc:0.985499
[721] eval-auc:0.70534 train-auc:0.985554
[722] eval-auc:0.705373 train-auc:0.985587
[723] eval-auc:0.705233 train-auc:0.985624
[724] eval-auc:0.705294 train-auc:0.985631
[725] eval-auc:0.70498 train-auc:0.985607
[726] eval-auc:0.704714 train-auc:0.985681
[727] eval-auc:0.704883 train-auc:0.985711
[728] eval-auc:0.704977 train-auc:0.985786
[729] eval-auc:0.705055 train-auc:0.985793
[730] eval-auc:0.704965 train-auc:0.985811
[731] eval-auc:0.704706 train-auc:0.985813
[732] eval-auc:0.704848 train-auc:0.985834
[733] eval-auc:0.704787 train-auc:0.98584
[734] eval-auc:0.704403 train-auc:0.985898
[735] eval-auc:0.704374 train-auc:0.985955
[736] eval-auc:0.704501 train-auc:0.985991
[737] eval-auc:0.704379 train-auc:0.986036
[738] eval-auc:0.704405 train-auc:0.986026
[739] eval-auc:0.704428 train-auc:0.986078
[740] eval-auc:0.704501 train-auc:0.98608
[741] eval-auc:0.704513 train-auc:0.986072
[742] eval-auc:0.704658 train-auc:0.986043
[743] eval-auc:0.704777 train-auc:0.986071
[744] eval-auc:0.704583 train-auc:0.986123
[745] eval-auc:0.7047 train-auc:0.986136
[746] eval-auc:0.704802 train-auc:0.986183
[747] eval-auc:0.704846 train-auc:0.986213
[748] eval-auc:0.704927 train-auc:0.986246
[749] eval-auc:0.704667 train-auc:0.986277
[750] eval-auc:0.704659 train-auc:0.986424
[751] eval-auc:0.704674 train-auc:0.986495
[752] eval-auc:0.704624 train-auc:0.986512
[753] eval-auc:0.704237 train-auc:0.986497
[754] eval-auc:0.704382 train-auc:0.986631
[755] eval-auc:0.704525 train-auc:0.986691
[756] eval-auc:0.70447 train-auc:0.9868
[757] eval-auc:0.704589 train-auc:0.986829
[758] eval-auc:0.704488 train-auc:0.986876
[759] eval-auc:0.704441 train-auc:0.986909
[760] eval-auc:0.704187 train-auc:0.98696
[761] eval-auc:0.704469 train-auc:0.987068
[762] eval-auc:0.704746 train-auc:0.98709
[763] eval-auc:0.704501 train-auc:0.987131
[764] eval-auc:0.70472 train-auc:0.987188
[765] eval-auc:0.704688 train-auc:0.987179
[766] eval-auc:0.705471 train-auc:0.987278
[767] eval-auc:0.705755 train-auc:0.987299
[768] eval-auc:0.70602 train-auc:0.987305
[769] eval-auc:0.706031 train-auc:0.987338
[770] eval-auc:0.706057 train-auc:0.98734
[771] eval-auc:0.705892 train-auc:0.987409
[772] eval-auc:0.70586 train-auc:0.987447
[773] eval-auc:0.705932 train-auc:0.987602
[774] eval-auc:0.706055 train-auc:0.987612
[775] eval-auc:0.705863 train-auc:0.987625
[776] eval-auc:0.705761 train-auc:0.98766
[777] eval-auc:0.705655 train-auc:0.987668
[778] eval-auc:0.70564 train-auc:0.987705
[779] eval-auc:0.705538 train-auc:0.987739
[780] eval-auc:0.705557 train-auc:0.987805
[781] eval-auc:0.705854 train-auc:0.987813
[782] eval-auc:0.705949 train-auc:0.987807
[783] eval-auc:0.705934 train-auc:0.987832
[784] eval-auc:0.706083 train-auc:0.987903
[785] eval-auc:0.705824 train-auc:0.987919
[786] eval-auc:0.705895 train-auc:0.987973
[787] eval-auc:0.705905 train-auc:0.987993
[788] eval-auc:0.705803 train-auc:0.987987
[789] eval-auc:0.705902 train-auc:0.987987
[790] eval-auc:0.705952 train-auc:0.988038
[791] eval-auc:0.705976 train-auc:0.988066
[792] eval-auc:0.706329 train-auc:0.988089
[793] eval-auc:0.706256 train-auc:0.988127
[794] eval-auc:0.706083 train-auc:0.988135
[795] eval-auc:0.706107 train-auc:0.988147
[796] eval-auc:0.706011 train-auc:0.988154
[797] eval-auc:0.705895 train-auc:0.98813
[798] eval-auc:0.705886 train-auc:0.988144
[799] eval-auc:0.705789 train-auc:0.98819
[800] eval-auc:0.705731 train-auc:0.98825
[801] eval-auc:0.705557 train-auc:0.988199
[802] eval-auc:0.705533 train-auc:0.988205
[803] eval-auc:0.705446 train-auc:0.988212
[804] eval-auc:0.705434 train-auc:0.988269
[805] eval-auc:0.705 train-auc:0.988322
[806] eval-auc:0.705134 train-auc:0.988337
[807] eval-auc:0.704994 train-auc:0.988381
[808] eval-auc:0.705009 train-auc:0.988447
Score 0.7050091973346002
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.65, 'eta': 0.2, 'eval_metric': 'auc', 'gamma': 0.7000000000000001, 'max_depth': 7, 'min_child_weight': 5.0, 'n_estimators': 610.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.8, 'tree_method': 'exact'}
[0] eval-auc:0.624802 train-auc:0.742963
[1] eval-auc:0.640071 train-auc:0.789881
[2] eval-auc:0.637129 train-auc:0.826611
[3] eval-auc:0.645591 train-auc:0.844235
[4] eval-auc:0.668815 train-auc:0.872763
[5] eval-auc:0.669779 train-auc:0.888799
[6] eval-auc:0.675502 train-auc:0.894544
[7] eval-auc:0.674986 train-auc:0.903604
[8] eval-auc:0.677939 train-auc:0.915716
[9] eval-auc:0.679637 train-auc:0.921898
[10] eval-auc:0.678731 train-auc:0.929779
[11] eval-auc:0.678753 train-auc:0.932478
[12] eval-auc:0.6765 train-auc:0.935799
[13] eval-auc:0.679861 train-auc:0.938451
[14] eval-auc:0.682655 train-auc:0.942895
[15] eval-auc:0.684641 train-auc:0.948115
[16] eval-auc:0.683784 train-auc:0.950423
[17] eval-auc:0.691979 train-auc:0.955567
[18] eval-auc:0.690746 train-auc:0.957096
[19] eval-auc:0.694892 train-auc:0.961362
[20] eval-auc:0.693962 train-auc:0.962501
[21] eval-auc:0.693444 train-auc:0.964899
[22] eval-auc:0.693491 train-auc:0.967729
[23] eval-auc:0.694064 train-auc:0.969107
[24] eval-auc:0.693946 train-auc:0.97134
[25] eval-auc:0.693593 train-auc:0.974988
[26] eval-auc:0.693089 train-auc:0.977316
[27] eval-auc:0.693389 train-auc:0.978055
[28] eval-auc:0.693517 train-auc:0.978963
[29] eval-auc:0.693982 train-auc:0.979745
[30] eval-auc:0.692815 train-auc:0.983524
[31] eval-auc:0.692578 train-auc:0.983545
[32] eval-auc:0.690169 train-auc:0.984125
[33] eval-auc:0.689695 train-auc:0.986239
[34] eval-auc:0.690385 train-auc:0.986646
[35] eval-auc:0.69135 train-auc:0.987736
[36] eval-auc:0.69141 train-auc:0.988087
[37] eval-auc:0.69022 train-auc:0.989144
[38] eval-auc:0.69135 train-auc:0.989739
[39] eval-auc:0.691672 train-auc:0.989988
[40] eval-auc:0.69097 train-auc:0.990641
[41] eval-auc:0.689193 train-auc:0.991363
[42] eval-auc:0.689051 train-auc:0.991696
[43] eval-auc:0.688481 train-auc:0.991963
[44] eval-auc:0.688076 train-auc:0.992339
[45] eval-auc:0.688256 train-auc:0.992375
[46] eval-auc:0.687982 train-auc:0.992421
[47] eval-auc:0.688663 train-auc:0.992814
[48] eval-auc:0.689145 train-auc:0.993173
[49] eval-auc:0.690138 train-auc:0.993485
[50] eval-auc:0.688984 train-auc:0.993992
[51] eval-auc:0.689462 train-auc:0.994047
[52] eval-auc:0.689902 train-auc:0.994101
[53] eval-auc:0.69028 train-auc:0.994577
[54] eval-auc:0.690219 train-auc:0.994893
[55] eval-auc:0.69008 train-auc:0.995585
[56] eval-auc:0.689477 train-auc:0.995865
[57] eval-auc:0.689379 train-auc:0.996292
[58] eval-auc:0.689524 train-auc:0.996383
[59] eval-auc:0.6904 train-auc:0.996595
[60] eval-auc:0.691324 train-auc:0.996795
[61] eval-auc:0.69088 train-auc:0.996914
[62] eval-auc:0.69268 train-auc:0.997243
[63] eval-auc:0.693747 train-auc:0.997421
[64] eval-auc:0.694853 train-auc:0.997665
[65] eval-auc:0.694924 train-auc:0.997671
[66] eval-auc:0.694941 train-auc:0.997714
[67] eval-auc:0.695196 train-auc:0.997817
[68] eval-auc:0.694132 train-auc:0.99811
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[488] eval-auc:0.687336 train-auc:1
[489] eval-auc:0.687417 train-auc:1
[490] eval-auc:0.687417 train-auc:1
[491] eval-auc:0.687426 train-auc:1
[492] eval-auc:0.687307 train-auc:1
[493] eval-auc:0.68724 train-auc:1
[494] eval-auc:0.687441 train-auc:1
[495] eval-auc:0.687441 train-auc:1
[496] eval-auc:0.687916 train-auc:1
[497] eval-auc:0.687875 train-auc:1
[498] eval-auc:0.687766 train-auc:1
[499] eval-auc:0.687761 train-auc:1
[500] eval-auc:0.687761 train-auc:1
[501] eval-auc:0.687772 train-auc:1
[502] eval-auc:0.687658 train-auc:1
[503] eval-auc:0.687589 train-auc:1
[504] eval-auc:0.687589 train-auc:1
[505] eval-auc:0.687578 train-auc:1
[506] eval-auc:0.68769 train-auc:1
[507] eval-auc:0.687454 train-auc:1
[508] eval-auc:0.687589 train-auc:1
[509] eval-auc:0.687336 train-auc:1
[510] eval-auc:0.687391 train-auc:1
[511] eval-auc:0.687187 train-auc:1
[512] eval-auc:0.687187 train-auc:1
[513] eval-auc:0.687112 train-auc:1
[514] eval-auc:0.687112 train-auc:1
[515] eval-auc:0.687275 train-auc:1
[516] eval-auc:0.687222 train-auc:1
[517] eval-auc:0.686971 train-auc:1
[518] eval-auc:0.687015 train-auc:1
[519] eval-auc:0.687015 train-auc:1
[520] eval-auc:0.686916 train-auc:1
[521] eval-auc:0.686879 train-auc:1
[522] eval-auc:0.686924 train-auc:1
[523] eval-auc:0.68671 train-auc:1
[524] eval-auc:0.686864 train-auc:1
[525] eval-auc:0.686631 train-auc:1
[526] eval-auc:0.686631 train-auc:1
[527] eval-auc:0.686648 train-auc:1
[528] eval-auc:0.686648 train-auc:1
[529] eval-auc:0.68672 train-auc:1
[530] eval-auc:0.68672 train-auc:1
[531] eval-auc:0.68677 train-auc:1
[532] eval-auc:0.68677 train-auc:1
[533] eval-auc:0.686883 train-auc:1
[534] eval-auc:0.686741 train-auc:1
[535] eval-auc:0.686668 train-auc:1
[536] eval-auc:0.686788 train-auc:1
[537] eval-auc:0.686788 train-auc:1
[538] eval-auc:0.686788 train-auc:1
[539] eval-auc:0.686412 train-auc:1
[540] eval-auc:0.686401 train-auc:1
[541] eval-auc:0.686401 train-auc:1
[542] eval-auc:0.686257 train-auc:1
[543] eval-auc:0.68627 train-auc:1
[544] eval-auc:0.686069 train-auc:1
[545] eval-auc:0.686115 train-auc:1
[546] eval-auc:0.686007 train-auc:1
[547] eval-auc:0.686007 train-auc:1
[548] eval-auc:0.686004 train-auc:1
[549] eval-auc:0.686051 train-auc:1
[550] eval-auc:0.686051 train-auc:1
[551] eval-auc:0.686618 train-auc:1
[552] eval-auc:0.686427 train-auc:1
[553] eval-auc:0.686322 train-auc:1
[554] eval-auc:0.685987 train-auc:1
[555] eval-auc:0.68612 train-auc:1
[556] eval-auc:0.68612 train-auc:1
[557] eval-auc:0.685839 train-auc:1
[558] eval-auc:0.685839 train-auc:1
[559] eval-auc:0.685867 train-auc:1
[560] eval-auc:0.685867 train-auc:1
[561] eval-auc:0.686005 train-auc:1
[562] eval-auc:0.686087 train-auc:1
[563] eval-auc:0.685882 train-auc:1
[564] eval-auc:0.686356 train-auc:1
[565] eval-auc:0.686414 train-auc:1
[566] eval-auc:0.68668 train-auc:1
[567] eval-auc:0.68668 train-auc:1
[568] eval-auc:0.686656 train-auc:1
[569] eval-auc:0.686656 train-auc:1
[570] eval-auc:0.686563 train-auc:1
[571] eval-auc:0.686563 train-auc:1
[572] eval-auc:0.686563 train-auc:1
[573] eval-auc:0.686563 train-auc:1
[574] eval-auc:0.686563 train-auc:1
[575] eval-auc:0.686563 train-auc:1
[576] eval-auc:0.686447 train-auc:1
[577] eval-auc:0.686447 train-auc:1
[578] eval-auc:0.686353 train-auc:1
[579] eval-auc:0.686278 train-auc:1
[580] eval-auc:0.686015 train-auc:1
[581] eval-auc:0.685888 train-auc:1
[582] eval-auc:0.685905 train-auc:1
[583] eval-auc:0.686143 train-auc:1
[584] eval-auc:0.686101 train-auc:1
[585] eval-auc:0.686132 train-auc:1
[586] eval-auc:0.685925 train-auc:1
[587] eval-auc:0.68622 train-auc:1
[588] eval-auc:0.685843 train-auc:1
[589] eval-auc:0.685843 train-auc:1
[590] eval-auc:0.685949 train-auc:1
[591] eval-auc:0.686164 train-auc:1
[592] eval-auc:0.686164 train-auc:1
[593] eval-auc:0.686205 train-auc:1
[594] eval-auc:0.686072 train-auc:1
[595] eval-auc:0.68598 train-auc:1
[596] eval-auc:0.685824 train-auc:1
[597] eval-auc:0.685824 train-auc:1
[598] eval-auc:0.685824 train-auc:1
[599] eval-auc:0.685846 train-auc:1
[600] eval-auc:0.685821 train-auc:1
[601] eval-auc:0.685821 train-auc:1
[602] eval-auc:0.685861 train-auc:1
[603] eval-auc:0.685861 train-auc:1
[604] eval-auc:0.685861 train-auc:1
[605] eval-auc:0.685861 train-auc:1
[606] eval-auc:0.685687 train-auc:1
[607] eval-auc:0.685462 train-auc:1
[608] eval-auc:0.685462 train-auc:1
[609] eval-auc:0.685415 train-auc:1
Score 0.6854146109710193
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9, 'eta': 0.025, 'eval_metric': 'auc', 'gamma': 0.5, 'max_depth': 9, 'min_child_weight': 1.0, 'n_estimators': 192.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9, 'tree_method': 'exact'}
[0] eval-auc:0.688019 train-auc:0.829471
[1] eval-auc:0.665729 train-auc:0.877008
[2] eval-auc:0.693981 train-auc:0.904233
[3] eval-auc:0.698581 train-auc:0.923675
[4] eval-auc:0.702787 train-auc:0.931441
[5] eval-auc:0.69379 train-auc:0.948402
[6] eval-auc:0.696419 train-auc:0.951815
[7] eval-auc:0.699961 train-auc:0.955415
[8] eval-auc:0.706363 train-auc:0.959764
[9] eval-auc:0.705417 train-auc:0.966365
[10] eval-auc:0.702349 train-auc:0.971575
[11] eval-auc:0.7027 train-auc:0.974783
[12] eval-auc:0.700819 train-auc:0.975887
[13] eval-auc:0.704487 train-auc:0.978996
[14] eval-auc:0.702069 train-auc:0.978438
[15] eval-auc:0.701854 train-auc:0.980216
[16] eval-auc:0.700339 train-auc:0.982269
[17] eval-auc:0.702157 train-auc:0.984365
[18] eval-auc:0.700503 train-auc:0.985388
[19] eval-auc:0.701688 train-auc:0.985758
[20] eval-auc:0.702451 train-auc:0.987114
[21] eval-auc:0.704262 train-auc:0.988456
[22] eval-auc:0.704176 train-auc:0.98954
[23] eval-auc:0.704135 train-auc:0.989317
[24] eval-auc:0.705842 train-auc:0.991013
[25] eval-auc:0.705295 train-auc:0.991333
[26] eval-auc:0.706864 train-auc:0.991536
[27] eval-auc:0.706524 train-auc:0.992029
[28] eval-auc:0.706481 train-auc:0.991992
[29] eval-auc:0.704528 train-auc:0.992535
[30] eval-auc:0.704753 train-auc:0.993052
[31] eval-auc:0.703869 train-auc:0.993349
[32] eval-auc:0.704752 train-auc:0.994169
[33] eval-auc:0.703585 train-auc:0.994326
[34] eval-auc:0.702312 train-auc:0.994859
[35] eval-auc:0.701732 train-auc:0.994965
[36] eval-auc:0.701854 train-auc:0.99512
[37] eval-auc:0.701134 train-auc:0.995326
[38] eval-auc:0.701568 train-auc:0.995611
[39] eval-auc:0.69998 train-auc:0.99592
[40] eval-auc:0.700403 train-auc:0.996042
[41] eval-auc:0.701417 train-auc:0.996121
[42] eval-auc:0.700922 train-auc:0.996116
[43] eval-auc:0.701859 train-auc:0.996293
[44] eval-auc:0.701384 train-auc:0.996699
[45] eval-auc:0.701659 train-auc:0.996824
[46] eval-auc:0.70058 train-auc:0.99687
[47] eval-auc:0.700345 train-auc:0.996937
[48] eval-auc:0.700485 train-auc:0.996914
[49] eval-auc:0.700313 train-auc:0.997147
[50] eval-auc:0.700147 train-auc:0.997272
[51] eval-auc:0.699594 train-auc:0.997396
[52] eval-auc:0.699383 train-auc:0.9976
[53] eval-auc:0.699316 train-auc:0.997578
[54] eval-auc:0.69873 train-auc:0.997647
[55] eval-auc:0.698901 train-auc:0.997723
[56] eval-auc:0.69874 train-auc:0.997785
[57] eval-auc:0.698883 train-auc:0.997784
[58] eval-auc:0.698739 train-auc:0.997897
[59] eval-auc:0.698708 train-auc:0.997904
[60] eval-auc:0.69931 train-auc:0.997968
[61] eval-auc:0.699524 train-auc:0.998099
[62] eval-auc:0.699343 train-auc:0.998155
[63] eval-auc:0.698862 train-auc:0.998319
[64] eval-auc:0.698763 train-auc:0.998354
[65] eval-auc:0.698492 train-auc:0.998382
[66] eval-auc:0.698515 train-auc:0.99842
[67] eval-auc:0.698935 train-auc:0.99846
[68] eval-auc:0.699022 train-auc:0.998531
[69] eval-auc:0.699024 train-auc:0.998535
[70] eval-auc:0.698816 train-auc:0.998544
[71] eval-auc:0.698632 train-auc:0.998639
[72] eval-auc:0.698608 train-auc:0.99868
[73] eval-auc:0.697065 train-auc:0.998734
[74] eval-auc:0.697233 train-auc:0.998777
[75] eval-auc:0.69728 train-auc:0.998822
[76] eval-auc:0.697051 train-auc:0.998887
[77] eval-auc:0.696605 train-auc:0.99887
[78] eval-auc:0.696144 train-auc:0.998882
[79] eval-auc:0.696115 train-auc:0.998896
[80] eval-auc:0.696454 train-auc:0.998932
[81] eval-auc:0.696193 train-auc:0.998923
[82] eval-auc:0.695649 train-auc:0.998951
[83] eval-auc:0.695935 train-auc:0.998945
[84] eval-auc:0.696097 train-auc:0.998952
[85] eval-auc:0.695615 train-auc:0.999023
[86] eval-auc:0.695431 train-auc:0.999063
[87] eval-auc:0.69479 train-auc:0.999117
[88] eval-auc:0.694527 train-auc:0.999166
[89] eval-auc:0.694044 train-auc:0.999207
[90] eval-auc:0.693867 train-auc:0.999224
[91] eval-auc:0.693455 train-auc:0.999229
[92] eval-auc:0.693088 train-auc:0.999242
[93] eval-auc:0.693162 train-auc:0.999262
[94] eval-auc:0.692925 train-auc:0.999317
[95] eval-auc:0.693199 train-auc:0.999314
[96] eval-auc:0.693165 train-auc:0.999339
[97] eval-auc:0.692843 train-auc:0.999357
[98] eval-auc:0.692669 train-auc:0.999368
[99] eval-auc:0.692943 train-auc:0.999382
[100] eval-auc:0.692887 train-auc:0.999399
[101] eval-auc:0.692489 train-auc:0.999442
[102] eval-auc:0.69274 train-auc:0.999446
[103] eval-auc:0.692497 train-auc:0.999454
[104] eval-auc:0.693366 train-auc:0.99949
[105] eval-auc:0.693509 train-auc:0.999495
[106] eval-auc:0.693549 train-auc:0.99951
[107] eval-auc:0.69319 train-auc:0.999531
[108] eval-auc:0.693072 train-auc:0.999527
[109] eval-auc:0.692756 train-auc:0.999561
[110] eval-auc:0.692637 train-auc:0.999599
[111] eval-auc:0.692645 train-auc:0.9996
[112] eval-auc:0.692561 train-auc:0.99961
[113] eval-auc:0.693007 train-auc:0.999648
[114] eval-auc:0.693216 train-auc:0.999663
[115] eval-auc:0.693045 train-auc:0.999669
[116] eval-auc:0.692963 train-auc:0.999679
[117] eval-auc:0.693414 train-auc:0.99968
[118] eval-auc:0.693682 train-auc:0.999693
[119] eval-auc:0.693872 train-auc:0.999715
[120] eval-auc:0.694024 train-auc:0.999724
[121] eval-auc:0.694099 train-auc:0.999746
[122] eval-auc:0.694157 train-auc:0.999748
[123] eval-auc:0.693937 train-auc:0.999761
[124] eval-auc:0.693829 train-auc:0.999766
[125] eval-auc:0.693773 train-auc:0.999765
[126] eval-auc:0.693424 train-auc:0.999771
[127] eval-auc:0.693091 train-auc:0.999774
[128] eval-auc:0.693086 train-auc:0.99978
[129] eval-auc:0.693275 train-auc:0.999782
[130] eval-auc:0.692938 train-auc:0.999805
[131] eval-auc:0.693144 train-auc:0.99981
[132] eval-auc:0.6928 train-auc:0.999817
[133] eval-auc:0.692611 train-auc:0.999817
[134] eval-auc:0.692779 train-auc:0.999827
[135] eval-auc:0.692625 train-auc:0.999827
[136] eval-auc:0.692227 train-auc:0.99983
[137] eval-auc:0.691991 train-auc:0.99983
[138] eval-auc:0.692218 train-auc:0.999844
[139] eval-auc:0.691883 train-auc:0.999843
[140] eval-auc:0.691915 train-auc:0.999843
[141] eval-auc:0.691987 train-auc:0.999854
[142] eval-auc:0.692383 train-auc:0.999852
[143] eval-auc:0.69194 train-auc:0.99986
[144] eval-auc:0.691781 train-auc:0.999862
[145] eval-auc:0.692075 train-auc:0.999871
[146] eval-auc:0.6919 train-auc:0.999873
[147] eval-auc:0.692042 train-auc:0.999874
[148] eval-auc:0.691921 train-auc:0.999872
[149] eval-auc:0.691608 train-auc:0.999878
[150] eval-auc:0.691874 train-auc:0.999879
[151] eval-auc:0.691845 train-auc:0.999882
[152] eval-auc:0.691554 train-auc:0.999888
[153] eval-auc:0.691346 train-auc:0.999893
[154] eval-auc:0.691767 train-auc:0.999895
[155] eval-auc:0.691737 train-auc:0.999905
[156] eval-auc:0.691669 train-auc:0.999908
[157] eval-auc:0.691694 train-auc:0.999907
[158] eval-auc:0.691713 train-auc:0.999906
[159] eval-auc:0.691935 train-auc:0.999911
[160] eval-auc:0.692101 train-auc:0.999914
[161] eval-auc:0.69222 train-auc:0.999918
[162] eval-auc:0.692233 train-auc:0.999921
[163] eval-auc:0.692126 train-auc:0.999922
[164] eval-auc:0.692273 train-auc:0.999926
[165] eval-auc:0.692681 train-auc:0.999927
[166] eval-auc:0.692908 train-auc:0.999934
[167] eval-auc:0.693202 train-auc:0.999934
[168] eval-auc:0.693423 train-auc:0.999934
[169] eval-auc:0.693511 train-auc:0.999933
[170] eval-auc:0.693678 train-auc:0.999935
[171] eval-auc:0.693695 train-auc:0.999934
[172] eval-auc:0.693784 train-auc:0.999934
[173] eval-auc:0.693761 train-auc:0.999936
[174] eval-auc:0.693832 train-auc:0.999934
[175] eval-auc:0.69401 train-auc:0.999934
[176] eval-auc:0.694131 train-auc:0.999935
[177] eval-auc:0.694131 train-auc:0.999937
[178] eval-auc:0.694096 train-auc:0.999939
[179] eval-auc:0.69417 train-auc:0.99994
[180] eval-auc:0.694295 train-auc:0.99994
[181] eval-auc:0.694298 train-auc:0.999946
[182] eval-auc:0.694565 train-auc:0.999946
[183] eval-auc:0.694368 train-auc:0.999946
[184] eval-auc:0.694336 train-auc:0.999948
[185] eval-auc:0.694629 train-auc:0.999949
[186] eval-auc:0.694848 train-auc:0.999949
[187] eval-auc:0.694635 train-auc:0.99995
[188] eval-auc:0.694683 train-auc:0.99995
[189] eval-auc:0.694804 train-auc:0.999952
[190] eval-auc:0.69502 train-auc:0.999952
[191] eval-auc:0.694945 train-auc:0.999954
Score 0.6949454250874051
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 1.0, 'eta': 0.1, 'eval_metric': 'auc', 'gamma': 0.65, 'max_depth': 4, 'min_child_weight': 4.0, 'n_estimators': 749.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.6000000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.692083 train-auc:0.728942
[1] eval-auc:0.685933 train-auc:0.739144
[2] eval-auc:0.694549 train-auc:0.751956
[3] eval-auc:0.698368 train-auc:0.75817
[4] eval-auc:0.698783 train-auc:0.769354
[5] eval-auc:0.705551 train-auc:0.776333
[6] eval-auc:0.70797 train-auc:0.782036
[7] eval-auc:0.70498 train-auc:0.782387
[8] eval-auc:0.705968 train-auc:0.785203
[9] eval-auc:0.706139 train-auc:0.787675
[10] eval-auc:0.71065 train-auc:0.790409
[11] eval-auc:0.710885 train-auc:0.791569
[12] eval-auc:0.710656 train-auc:0.79503
[13] eval-auc:0.71112 train-auc:0.79469
[14] eval-auc:0.708267 train-auc:0.79827
[15] eval-auc:0.707895 train-auc:0.796673
[16] eval-auc:0.709846 train-auc:0.798502
[17] eval-auc:0.710445 train-auc:0.800907
[18] eval-auc:0.7124 train-auc:0.804169
[19] eval-auc:0.712314 train-auc:0.806393
[20] eval-auc:0.709177 train-auc:0.810421
[21] eval-auc:0.708084 train-auc:0.814519
[22] eval-auc:0.705199 train-auc:0.818612
[23] eval-auc:0.703229 train-auc:0.818547
[24] eval-auc:0.702666 train-auc:0.820953
[25] eval-auc:0.704403 train-auc:0.822026
[26] eval-auc:0.702601 train-auc:0.82277
[27] eval-auc:0.702217 train-auc:0.824586
[28] eval-auc:0.698165 train-auc:0.826347
[29] eval-auc:0.698158 train-auc:0.827038
[30] eval-auc:0.697541 train-auc:0.828404
[31] eval-auc:0.69515 train-auc:0.830811
[32] eval-auc:0.697614 train-auc:0.832651
[33] eval-auc:0.697866 train-auc:0.836513
[34] eval-auc:0.696473 train-auc:0.838388
[35] eval-auc:0.693928 train-auc:0.840915
[36] eval-auc:0.693978 train-auc:0.841589
[37] eval-auc:0.694618 train-auc:0.843583
[38] eval-auc:0.694071 train-auc:0.845854
[39] eval-auc:0.693991 train-auc:0.847198
[40] eval-auc:0.693294 train-auc:0.850442
[41] eval-auc:0.693693 train-auc:0.853307
[42] eval-auc:0.693961 train-auc:0.853606
[43] eval-auc:0.693544 train-auc:0.855033
[44] eval-auc:0.694023 train-auc:0.856442
[45] eval-auc:0.695293 train-auc:0.857378
[46] eval-auc:0.694955 train-auc:0.859716
[47] eval-auc:0.694994 train-auc:0.861227
[48] eval-auc:0.695646 train-auc:0.861802
[49] eval-auc:0.695705 train-auc:0.864076
[50] eval-auc:0.696302 train-auc:0.86533
[51] eval-auc:0.69655 train-auc:0.867002
[52] eval-auc:0.697076 train-auc:0.868706
[53] eval-auc:0.69796 train-auc:0.870328
[54] eval-auc:0.698809 train-auc:0.871222
[55] eval-auc:0.69878 train-auc:0.872338
[56] eval-auc:0.69775 train-auc:0.872499
[57] eval-auc:0.697336 train-auc:0.872648
[58] eval-auc:0.698372 train-auc:0.875141
[59] eval-auc:0.69722 train-auc:0.876442
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[462] eval-auc:0.704906 train-auc:0.994274
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[508] eval-auc:0.703069 train-auc:0.996021
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[512] eval-auc:0.702352 train-auc:0.996002
[513] eval-auc:0.702213 train-auc:0.99606
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[536] eval-auc:0.702019 train-auc:0.996657
[537] eval-auc:0.701949 train-auc:0.996702
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[544] eval-auc:0.700773 train-auc:0.996912
[545] eval-auc:0.701548 train-auc:0.996884
[546] eval-auc:0.701231 train-auc:0.996897
[547] eval-auc:0.701161 train-auc:0.996937
[548] eval-auc:0.700982 train-auc:0.996923
[549] eval-auc:0.70084 train-auc:0.996956
[550] eval-auc:0.700912 train-auc:0.996926
[551] eval-auc:0.700907 train-auc:0.996946
[552] eval-auc:0.700942 train-auc:0.996964
[553] eval-auc:0.701411 train-auc:0.996961
[554] eval-auc:0.701582 train-auc:0.996958
[555] eval-auc:0.701676 train-auc:0.997031
[556] eval-auc:0.701933 train-auc:0.997061
[557] eval-auc:0.701049 train-auc:0.997126
[558] eval-auc:0.700915 train-auc:0.99713
[559] eval-auc:0.700733 train-auc:0.997144
[560] eval-auc:0.700739 train-auc:0.997114
[561] eval-auc:0.700123 train-auc:0.997142
[562] eval-auc:0.700238 train-auc:0.997133
[563] eval-auc:0.69998 train-auc:0.99715
[564] eval-auc:0.699698 train-auc:0.997149
[565] eval-auc:0.700085 train-auc:0.997123
[566] eval-auc:0.699543 train-auc:0.997137
[567] eval-auc:0.699479 train-auc:0.99718
[568] eval-auc:0.699329 train-auc:0.997162
[569] eval-auc:0.699771 train-auc:0.99718
[570] eval-auc:0.699878 train-auc:0.997248
[571] eval-auc:0.699859 train-auc:0.997227
[572] eval-auc:0.700083 train-auc:0.997346
[573] eval-auc:0.699856 train-auc:0.997356
[574] eval-auc:0.699354 train-auc:0.997359
[575] eval-auc:0.699291 train-auc:0.997359
[576] eval-auc:0.699468 train-auc:0.997369
[577] eval-auc:0.699818 train-auc:0.997407
[578] eval-auc:0.699585 train-auc:0.997468
[579] eval-auc:0.699355 train-auc:0.997463
[580] eval-auc:0.699127 train-auc:0.997467
[581] eval-auc:0.698851 train-auc:0.99746
[582] eval-auc:0.698746 train-auc:0.997447
[583] eval-auc:0.69887 train-auc:0.997456
[584] eval-auc:0.698949 train-auc:0.997462
[585] eval-auc:0.698973 train-auc:0.997483
[586] eval-auc:0.699026 train-auc:0.997476
[587] eval-auc:0.698647 train-auc:0.997473
[588] eval-auc:0.698477 train-auc:0.99752
[589] eval-auc:0.697965 train-auc:0.997585
[590] eval-auc:0.697566 train-auc:0.997603
[591] eval-auc:0.697534 train-auc:0.997589
[592] eval-auc:0.697622 train-auc:0.997619
[593] eval-auc:0.697076 train-auc:0.997593
[594] eval-auc:0.697274 train-auc:0.997617
[595] eval-auc:0.696965 train-auc:0.997614
[596] eval-auc:0.697201 train-auc:0.997615
[597] eval-auc:0.696887 train-auc:0.997619
[598] eval-auc:0.697012 train-auc:0.997711
[599] eval-auc:0.69717 train-auc:0.997704
[600] eval-auc:0.696986 train-auc:0.997742
[601] eval-auc:0.696963 train-auc:0.997735
[602] eval-auc:0.697339 train-auc:0.997741
[603] eval-auc:0.69678 train-auc:0.99774
[604] eval-auc:0.696872 train-auc:0.997769
[605] eval-auc:0.696671 train-auc:0.997778
[606] eval-auc:0.696514 train-auc:0.997765
[607] eval-auc:0.696493 train-auc:0.997848
[608] eval-auc:0.696381 train-auc:0.997891
[609] eval-auc:0.696445 train-auc:0.997926
[610] eval-auc:0.6965 train-auc:0.997926
[611] eval-auc:0.696331 train-auc:0.997946
[612] eval-auc:0.696488 train-auc:0.997965
[613] eval-auc:0.696674 train-auc:0.998017
[614] eval-auc:0.696896 train-auc:0.998002
[615] eval-auc:0.697001 train-auc:0.998
[616] eval-auc:0.696898 train-auc:0.997977
[617] eval-auc:0.696786 train-auc:0.998009
[618] eval-auc:0.697038 train-auc:0.99802
[619] eval-auc:0.697458 train-auc:0.998043
[620] eval-auc:0.697481 train-auc:0.998023
[621] eval-auc:0.697855 train-auc:0.998064
[622] eval-auc:0.698005 train-auc:0.99809
[623] eval-auc:0.698291 train-auc:0.998155
[624] eval-auc:0.698263 train-auc:0.998159
[625] eval-auc:0.698736 train-auc:0.998146
[626] eval-auc:0.698419 train-auc:0.998148
[627] eval-auc:0.697537 train-auc:0.998153
[628] eval-auc:0.697399 train-auc:0.998151
[629] eval-auc:0.696992 train-auc:0.998163
[630] eval-auc:0.696727 train-auc:0.998186
[631] eval-auc:0.696937 train-auc:0.998182
[632] eval-auc:0.697041 train-auc:0.998154
[633] eval-auc:0.696805 train-auc:0.998176
[634] eval-auc:0.696786 train-auc:0.998187
[635] eval-auc:0.696552 train-auc:0.998196
[636] eval-auc:0.696692 train-auc:0.998192
[637] eval-auc:0.696354 train-auc:0.998229
[638] eval-auc:0.696217 train-auc:0.998248
[639] eval-auc:0.696707 train-auc:0.998257
[640] eval-auc:0.696745 train-auc:0.998264
[641] eval-auc:0.697079 train-auc:0.998278
[642] eval-auc:0.696808 train-auc:0.998273
[643] eval-auc:0.696809 train-auc:0.998244
[644] eval-auc:0.696744 train-auc:0.998267
[645] eval-auc:0.696697 train-auc:0.998289
[646] eval-auc:0.696678 train-auc:0.998311
[647] eval-auc:0.696476 train-auc:0.998292
[648] eval-auc:0.696177 train-auc:0.998286
[649] eval-auc:0.696237 train-auc:0.998298
[650] eval-auc:0.696663 train-auc:0.99828
[651] eval-auc:0.697001 train-auc:0.998299
[652] eval-auc:0.696706 train-auc:0.998315
[653] eval-auc:0.696678 train-auc:0.998318
[654] eval-auc:0.696916 train-auc:0.998306
[655] eval-auc:0.69726 train-auc:0.998339
[656] eval-auc:0.697266 train-auc:0.998335
[657] eval-auc:0.697354 train-auc:0.998324
[658] eval-auc:0.697275 train-auc:0.998318
[659] eval-auc:0.697027 train-auc:0.99832
[660] eval-auc:0.696945 train-auc:0.99831
[661] eval-auc:0.696888 train-auc:0.998322
[662] eval-auc:0.696521 train-auc:0.998314
[663] eval-auc:0.696407 train-auc:0.9983
[664] eval-auc:0.696463 train-auc:0.998325
[665] eval-auc:0.696698 train-auc:0.998363
[666] eval-auc:0.696488 train-auc:0.998371
[667] eval-auc:0.696727 train-auc:0.998406
[668] eval-auc:0.69669 train-auc:0.998419
[669] eval-auc:0.697213 train-auc:0.998394
[670] eval-auc:0.696952 train-auc:0.998392
[671] eval-auc:0.696946 train-auc:0.998412
[672] eval-auc:0.697 train-auc:0.998392
[673] eval-auc:0.696971 train-auc:0.998388
[674] eval-auc:0.697304 train-auc:0.998435
[675] eval-auc:0.697195 train-auc:0.998439
[676] eval-auc:0.697357 train-auc:0.998471
[677] eval-auc:0.697431 train-auc:0.998469
[678] eval-auc:0.697583 train-auc:0.998491
[679] eval-auc:0.698018 train-auc:0.998501
[680] eval-auc:0.697982 train-auc:0.998494
[681] eval-auc:0.697935 train-auc:0.998506
[682] eval-auc:0.69775 train-auc:0.998545
[683] eval-auc:0.697691 train-auc:0.998542
[684] eval-auc:0.697231 train-auc:0.998542
[685] eval-auc:0.696794 train-auc:0.998566
[686] eval-auc:0.696808 train-auc:0.998578
[687] eval-auc:0.697316 train-auc:0.998594
[688] eval-auc:0.69756 train-auc:0.998607
[689] eval-auc:0.6979 train-auc:0.998605
[690] eval-auc:0.697886 train-auc:0.998607
[691] eval-auc:0.697968 train-auc:0.998619
[692] eval-auc:0.698096 train-auc:0.998602
[693] eval-auc:0.698107 train-auc:0.998586
[694] eval-auc:0.69781 train-auc:0.998584
[695] eval-auc:0.697912 train-auc:0.998605
[696] eval-auc:0.697837 train-auc:0.99863
[697] eval-auc:0.698099 train-auc:0.998666
[698] eval-auc:0.6979 train-auc:0.998678
[699] eval-auc:0.698263 train-auc:0.998687
[700] eval-auc:0.698404 train-auc:0.9987
[701] eval-auc:0.698554 train-auc:0.998683
[702] eval-auc:0.698588 train-auc:0.998697
[703] eval-auc:0.698687 train-auc:0.998719
[704] eval-auc:0.698493 train-auc:0.998734
[705] eval-auc:0.698687 train-auc:0.998735
[706] eval-auc:0.699233 train-auc:0.998752
[707] eval-auc:0.699243 train-auc:0.998731
[708] eval-auc:0.698915 train-auc:0.998724
[709] eval-auc:0.698809 train-auc:0.998731
[710] eval-auc:0.698798 train-auc:0.998727
[711] eval-auc:0.69842 train-auc:0.998727
[712] eval-auc:0.69857 train-auc:0.998724
[713] eval-auc:0.69886 train-auc:0.998723
[714] eval-auc:0.698764 train-auc:0.998729
[715] eval-auc:0.698739 train-auc:0.998749
[716] eval-auc:0.698399 train-auc:0.99876
[717] eval-auc:0.698104 train-auc:0.998754
[718] eval-auc:0.698157 train-auc:0.998773
[719] eval-auc:0.697874 train-auc:0.998776
[720] eval-auc:0.698134 train-auc:0.998772
[721] eval-auc:0.697997 train-auc:0.998777
[722] eval-auc:0.698251 train-auc:0.998782
[723] eval-auc:0.69851 train-auc:0.998814
[724] eval-auc:0.69798 train-auc:0.998841
[725] eval-auc:0.698327 train-auc:0.998875
[726] eval-auc:0.698512 train-auc:0.99889
[727] eval-auc:0.698591 train-auc:0.998913
[728] eval-auc:0.698399 train-auc:0.998914
[729] eval-auc:0.698617 train-auc:0.998929
[730] eval-auc:0.698429 train-auc:0.998935
[731] eval-auc:0.698426 train-auc:0.99893
[732] eval-auc:0.698446 train-auc:0.998952
[733] eval-auc:0.698649 train-auc:0.998969
[734] eval-auc:0.698711 train-auc:0.998965
[735] eval-auc:0.698652 train-auc:0.998995
[736] eval-auc:0.698649 train-auc:0.998989
[737] eval-auc:0.698687 train-auc:0.999006
[738] eval-auc:0.698845 train-auc:0.999018
[739] eval-auc:0.699197 train-auc:0.999005
[740] eval-auc:0.698551 train-auc:0.99903
[741] eval-auc:0.698641 train-auc:0.999032
[742] eval-auc:0.698687 train-auc:0.999029
[743] eval-auc:0.698428 train-auc:0.999031
[744] eval-auc:0.698346 train-auc:0.999048
[745] eval-auc:0.698168 train-auc:0.999047
[746] eval-auc:0.698113 train-auc:0.999055
[747] eval-auc:0.698262 train-auc:0.999071
[748] eval-auc:0.69814 train-auc:0.999086
Score 0.6981401283972273
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8500000000000001, 'eta': 0.25, 'eval_metric': 'auc', 'gamma': 0.9, 'max_depth': 12, 'min_child_weight': 3.0, 'n_estimators': 647.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.8, 'tree_method': 'exact'}
[0] eval-auc:0.698037 train-auc:0.852873
[1] eval-auc:0.675697 train-auc:0.910337
[2] eval-auc:0.686029 train-auc:0.943614
[3] eval-auc:0.690808 train-auc:0.962059
[4] eval-auc:0.690959 train-auc:0.974945
[5] eval-auc:0.680179 train-auc:0.983708
[6] eval-auc:0.683967 train-auc:0.986187
[7] eval-auc:0.694665 train-auc:0.991257
[8] eval-auc:0.692878 train-auc:0.993868
[9] eval-auc:0.691461 train-auc:0.995462
[10] eval-auc:0.693581 train-auc:0.996629
[11] eval-auc:0.69343 train-auc:0.997649
[12] eval-auc:0.691822 train-auc:0.998122
[13] eval-auc:0.689346 train-auc:0.998862
[14] eval-auc:0.685751 train-auc:0.999396
[15] eval-auc:0.684554 train-auc:0.999493
[16] eval-auc:0.684828 train-auc:0.999517
[17] eval-auc:0.689558 train-auc:0.999621
[18] eval-auc:0.687297 train-auc:0.999628
[19] eval-auc:0.691467 train-auc:0.999668
[20] eval-auc:0.690319 train-auc:0.999776
[21] eval-auc:0.693525 train-auc:0.999812
[22] eval-auc:0.691324 train-auc:0.999833
[23] eval-auc:0.687972 train-auc:0.999834
[24] eval-auc:0.688961 train-auc:0.999839
[25] eval-auc:0.687945 train-auc:0.999836
[26] eval-auc:0.686846 train-auc:0.999842
[27] eval-auc:0.685718 train-auc:0.999895
[28] eval-auc:0.686423 train-auc:0.999892
[29] eval-auc:0.685574 train-auc:0.999892
[30] eval-auc:0.68615 train-auc:0.999914
[31] eval-auc:0.68908 train-auc:0.999946
[32] eval-auc:0.689628 train-auc:0.999984
[33] eval-auc:0.687974 train-auc:0.999994
[34] eval-auc:0.688349 train-auc:0.999991
[35] eval-auc:0.689419 train-auc:0.999992
[36] eval-auc:0.689188 train-auc:0.999997
[37] eval-auc:0.687727 train-auc:0.999999
[38] eval-auc:0.688095 train-auc:0.999999
[39] eval-auc:0.686439 train-auc:1
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[485] eval-auc:0.682147 train-auc:1
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[488] eval-auc:0.682145 train-auc:1
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[494] eval-auc:0.682295 train-auc:1
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[512] eval-auc:0.683 train-auc:1
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[515] eval-auc:0.683 train-auc:1
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[519] eval-auc:0.682946 train-auc:1
[520] eval-auc:0.682946 train-auc:1
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[538] eval-auc:0.682888 train-auc:1
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[540] eval-auc:0.682888 train-auc:1
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[542] eval-auc:0.68305 train-auc:1
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[549] eval-auc:0.683048 train-auc:1
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[557] eval-auc:0.684333 train-auc:1
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[565] eval-auc:0.684428 train-auc:1
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[575] eval-auc:0.684594 train-auc:1
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[577] eval-auc:0.684498 train-auc:1
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[584] eval-auc:0.684204 train-auc:1
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[598] eval-auc:0.684088 train-auc:1
[599] eval-auc:0.684088 train-auc:1
[600] eval-auc:0.684088 train-auc:1
[601] eval-auc:0.684088 train-auc:1
[602] eval-auc:0.684088 train-auc:1
[603] eval-auc:0.684088 train-auc:1
[604] eval-auc:0.684088 train-auc:1
[605] eval-auc:0.684088 train-auc:1
[606] eval-auc:0.684088 train-auc:1
[607] eval-auc:0.684088 train-auc:1
[608] eval-auc:0.684088 train-auc:1
[609] eval-auc:0.684088 train-auc:1
[610] eval-auc:0.684088 train-auc:1
[611] eval-auc:0.684088 train-auc:1
[612] eval-auc:0.684088 train-auc:1
[613] eval-auc:0.684088 train-auc:1
[614] eval-auc:0.684088 train-auc:1
[615] eval-auc:0.684088 train-auc:1
[616] eval-auc:0.684088 train-auc:1
[617] eval-auc:0.684088 train-auc:1
[618] eval-auc:0.684088 train-auc:1
[619] eval-auc:0.684088 train-auc:1
[620] eval-auc:0.684088 train-auc:1
[621] eval-auc:0.684088 train-auc:1
[622] eval-auc:0.684088 train-auc:1
[623] eval-auc:0.684088 train-auc:1
[624] eval-auc:0.684088 train-auc:1
[625] eval-auc:0.684088 train-auc:1
[626] eval-auc:0.684088 train-auc:1
[627] eval-auc:0.683912 train-auc:1
[628] eval-auc:0.683912 train-auc:1
[629] eval-auc:0.683912 train-auc:1
[630] eval-auc:0.683912 train-auc:1
[631] eval-auc:0.683912 train-auc:1
[632] eval-auc:0.683912 train-auc:1
[633] eval-auc:0.683912 train-auc:1
[634] eval-auc:0.683912 train-auc:1
[635] eval-auc:0.683912 train-auc:1
[636] eval-auc:0.683912 train-auc:1
[637] eval-auc:0.683837 train-auc:1
[638] eval-auc:0.683837 train-auc:1
[639] eval-auc:0.683627 train-auc:1
[640] eval-auc:0.683627 train-auc:1
[641] eval-auc:0.683627 train-auc:1
[642] eval-auc:0.683627 train-auc:1
[643] eval-auc:0.683627 train-auc:1
[644] eval-auc:0.683627 train-auc:1
[645] eval-auc:0.683627 train-auc:1
[646] eval-auc:0.683627 train-auc:1
Score 0.6836269171265333
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9500000000000001, 'eta': 0.17500000000000002, 'eval_metric': 'auc', 'gamma': 0.55, 'max_depth': 2, 'min_child_weight': 2.0, 'n_estimators': 486.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.75, 'tree_method': 'exact'}
[0] eval-auc:0.66852 train-auc:0.685548
[1] eval-auc:0.664934 train-auc:0.693984
[2] eval-auc:0.69378 train-auc:0.715271
[3] eval-auc:0.696388 train-auc:0.718407
[4] eval-auc:0.693472 train-auc:0.715734
[5] eval-auc:0.695137 train-auc:0.710726
[6] eval-auc:0.695768 train-auc:0.712568
[7] eval-auc:0.694035 train-auc:0.715269
[8] eval-auc:0.697692 train-auc:0.719733
[9] eval-auc:0.698969 train-auc:0.721656
[10] eval-auc:0.699116 train-auc:0.724738
[11] eval-auc:0.698677 train-auc:0.72291
[12] eval-auc:0.696951 train-auc:0.722271
[13] eval-auc:0.699648 train-auc:0.725429
[14] eval-auc:0.701103 train-auc:0.725073
[15] eval-auc:0.703608 train-auc:0.726353
[16] eval-auc:0.70327 train-auc:0.728952
[17] eval-auc:0.700905 train-auc:0.728258
[18] eval-auc:0.700209 train-auc:0.726391
[19] eval-auc:0.701978 train-auc:0.729143
[20] eval-auc:0.703682 train-auc:0.730174
[21] eval-auc:0.70302 train-auc:0.729915
[22] eval-auc:0.703279 train-auc:0.731166
[23] eval-auc:0.702331 train-auc:0.73077
[24] eval-auc:0.703438 train-auc:0.731742
[25] eval-auc:0.702746 train-auc:0.733353
[26] eval-auc:0.702909 train-auc:0.735285
[27] eval-auc:0.703234 train-auc:0.736126
[28] eval-auc:0.703993 train-auc:0.736104
[29] eval-auc:0.703185 train-auc:0.736359
[30] eval-auc:0.703397 train-auc:0.73845
[31] eval-auc:0.702477 train-auc:0.736986
[32] eval-auc:0.703171 train-auc:0.738735
[33] eval-auc:0.703985 train-auc:0.740069
[34] eval-auc:0.704338 train-auc:0.741396
[35] eval-auc:0.705417 train-auc:0.742384
[36] eval-auc:0.704517 train-auc:0.743288
[37] eval-auc:0.705043 train-auc:0.743886
[38] eval-auc:0.705473 train-auc:0.744604
[39] eval-auc:0.70519 train-auc:0.745834
[40] eval-auc:0.705422 train-auc:0.746269
[41] eval-auc:0.705496 train-auc:0.747806
[42] eval-auc:0.706349 train-auc:0.749314
[43] eval-auc:0.706017 train-auc:0.749837
[44] eval-auc:0.70563 train-auc:0.750037
[45] eval-auc:0.706402 train-auc:0.75206
[46] eval-auc:0.706068 train-auc:0.7527
[47] eval-auc:0.706218 train-auc:0.753612
[48] eval-auc:0.706887 train-auc:0.755186
[49] eval-auc:0.706516 train-auc:0.756016
[50] eval-auc:0.706952 train-auc:0.756906
[51] eval-auc:0.70611 train-auc:0.757594
[52] eval-auc:0.704769 train-auc:0.758549
[53] eval-auc:0.705597 train-auc:0.759839
[54] eval-auc:0.705397 train-auc:0.760464
[55] eval-auc:0.705126 train-auc:0.762111
[56] eval-auc:0.706651 train-auc:0.76389
[57] eval-auc:0.707139 train-auc:0.764632
[58] eval-auc:0.706789 train-auc:0.764895
[59] eval-auc:0.704638 train-auc:0.765467
[60] eval-auc:0.704333 train-auc:0.767062
[61] eval-auc:0.703673 train-auc:0.766712
[62] eval-auc:0.703749 train-auc:0.767169
[63] eval-auc:0.703604 train-auc:0.76826
[64] eval-auc:0.704192 train-auc:0.769356
[65] eval-auc:0.703524 train-auc:0.769833
[66] eval-auc:0.704108 train-auc:0.771393
[67] eval-auc:0.704521 train-auc:0.771653
[68] eval-auc:0.705825 train-auc:0.773181
[69] eval-auc:0.703542 train-auc:0.773706
[70] eval-auc:0.702837 train-auc:0.773879
[71] eval-auc:0.703968 train-auc:0.775435
[72] eval-auc:0.703592 train-auc:0.775938
[73] eval-auc:0.703044 train-auc:0.77606
[74] eval-auc:0.702612 train-auc:0.777313
[75] eval-auc:0.702467 train-auc:0.777875
[76] eval-auc:0.702878 train-auc:0.778085
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[78] eval-auc:0.701371 train-auc:0.780155
[79] eval-auc:0.702214 train-auc:0.780673
[80] eval-auc:0.701686 train-auc:0.781467
[81] eval-auc:0.702729 train-auc:0.782922
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[83] eval-auc:0.702899 train-auc:0.785171
[84] eval-auc:0.702478 train-auc:0.786086
[85] eval-auc:0.701963 train-auc:0.78656
[86] eval-auc:0.701538 train-auc:0.786659
[87] eval-auc:0.700804 train-auc:0.78804
[88] eval-auc:0.699766 train-auc:0.789204
[89] eval-auc:0.699731 train-auc:0.790024
[90] eval-auc:0.699862 train-auc:0.790641
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[100] eval-auc:0.699926 train-auc:0.797402
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[102] eval-auc:0.699989 train-auc:0.798533
[103] eval-auc:0.700605 train-auc:0.799171
[104] eval-auc:0.700739 train-auc:0.799961
[105] eval-auc:0.698603 train-auc:0.799968
[106] eval-auc:0.698299 train-auc:0.80149
[107] eval-auc:0.69967 train-auc:0.801154
[108] eval-auc:0.70003 train-auc:0.800371
[109] eval-auc:0.700607 train-auc:0.800492
[110] eval-auc:0.700418 train-auc:0.800946
[111] eval-auc:0.700232 train-auc:0.801832
[112] eval-auc:0.700248 train-auc:0.802316
[113] eval-auc:0.699783 train-auc:0.802639
[114] eval-auc:0.699748 train-auc:0.803947
[115] eval-auc:0.699824 train-auc:0.806047
[116] eval-auc:0.700206 train-auc:0.807291
[117] eval-auc:0.699326 train-auc:0.808448
[118] eval-auc:0.699069 train-auc:0.808662
[119] eval-auc:0.699032 train-auc:0.808434
[120] eval-auc:0.699683 train-auc:0.807799
[121] eval-auc:0.699316 train-auc:0.80748
[122] eval-auc:0.69923 train-auc:0.808022
[123] eval-auc:0.698856 train-auc:0.808589
[124] eval-auc:0.698425 train-auc:0.809243
[125] eval-auc:0.698273 train-auc:0.808935
[126] eval-auc:0.698952 train-auc:0.80937
[127] eval-auc:0.699462 train-auc:0.81027
[128] eval-auc:0.699829 train-auc:0.811343
[129] eval-auc:0.700663 train-auc:0.812632
[130] eval-auc:0.700592 train-auc:0.812768
[131] eval-auc:0.700409 train-auc:0.812995
[132] eval-auc:0.700538 train-auc:0.813439
[133] eval-auc:0.700481 train-auc:0.813709
[134] eval-auc:0.70058 train-auc:0.813879
[135] eval-auc:0.700336 train-auc:0.81472
[136] eval-auc:0.699613 train-auc:0.815477
[137] eval-auc:0.698562 train-auc:0.816473
[138] eval-auc:0.698889 train-auc:0.817256
[139] eval-auc:0.698845 train-auc:0.817352
[140] eval-auc:0.699413 train-auc:0.818003
[141] eval-auc:0.699693 train-auc:0.818213
[142] eval-auc:0.700133 train-auc:0.818227
[143] eval-auc:0.700572 train-auc:0.818744
[144] eval-auc:0.700158 train-auc:0.819238
[145] eval-auc:0.700688 train-auc:0.819576
[146] eval-auc:0.699602 train-auc:0.819703
[147] eval-auc:0.698836 train-auc:0.819799
[148] eval-auc:0.699632 train-auc:0.820394
[149] eval-auc:0.700331 train-auc:0.819838
[150] eval-auc:0.700714 train-auc:0.819932
[151] eval-auc:0.701259 train-auc:0.820545
[152] eval-auc:0.701463 train-auc:0.820551
[153] eval-auc:0.701889 train-auc:0.82025
[154] eval-auc:0.702017 train-auc:0.821119
[155] eval-auc:0.701987 train-auc:0.821975
[156] eval-auc:0.702724 train-auc:0.822726
[157] eval-auc:0.703112 train-auc:0.822776
[158] eval-auc:0.702459 train-auc:0.823073
[159] eval-auc:0.702734 train-auc:0.823468
[160] eval-auc:0.702611 train-auc:0.823923
[161] eval-auc:0.703796 train-auc:0.825063
[162] eval-auc:0.703995 train-auc:0.825538
[163] eval-auc:0.702862 train-auc:0.825573
[164] eval-auc:0.703056 train-auc:0.82564
[165] eval-auc:0.702488 train-auc:0.825993
[166] eval-auc:0.702255 train-auc:0.826635
[167] eval-auc:0.701647 train-auc:0.826738
[168] eval-auc:0.701269 train-auc:0.827202
[169] eval-auc:0.701379 train-auc:0.827545
[170] eval-auc:0.701655 train-auc:0.827911
[171] eval-auc:0.702206 train-auc:0.82861
[172] eval-auc:0.702223 train-auc:0.828786
[173] eval-auc:0.702608 train-auc:0.828831
[174] eval-auc:0.703112 train-auc:0.829138
[175] eval-auc:0.703331 train-auc:0.829075
[176] eval-auc:0.703814 train-auc:0.829194
[177] eval-auc:0.704137 train-auc:0.829608
[178] eval-auc:0.703793 train-auc:0.829458
[179] eval-auc:0.704692 train-auc:0.830271
[180] eval-auc:0.70454 train-auc:0.830985
[181] eval-auc:0.704376 train-auc:0.831615
[182] eval-auc:0.703942 train-auc:0.831781
[183] eval-auc:0.703697 train-auc:0.831962
[184] eval-auc:0.703205 train-auc:0.832095
[185] eval-auc:0.702494 train-auc:0.833063
[186] eval-auc:0.702766 train-auc:0.833947
[187] eval-auc:0.702576 train-auc:0.834198
[188] eval-auc:0.703116 train-auc:0.834718
[189] eval-auc:0.702998 train-auc:0.835164
[190] eval-auc:0.703193 train-auc:0.835411
[191] eval-auc:0.702392 train-auc:0.835843
[192] eval-auc:0.701824 train-auc:0.835768
[193] eval-auc:0.701416 train-auc:0.836045
[194] eval-auc:0.701227 train-auc:0.836178
[195] eval-auc:0.701562 train-auc:0.836448
[196] eval-auc:0.700727 train-auc:0.837606
[197] eval-auc:0.701052 train-auc:0.837338
[198] eval-auc:0.701289 train-auc:0.83848
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[200] eval-auc:0.699642 train-auc:0.839258
[201] eval-auc:0.699772 train-auc:0.840037
[202] eval-auc:0.700196 train-auc:0.840254
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[209] eval-auc:0.699445 train-auc:0.842448
[210] eval-auc:0.700281 train-auc:0.842932
[211] eval-auc:0.699619 train-auc:0.843084
[212] eval-auc:0.698571 train-auc:0.843537
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[247] eval-auc:0.696587 train-auc:0.849776
[248] eval-auc:0.696161 train-auc:0.849846
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[250] eval-auc:0.696278 train-auc:0.850023
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[287] eval-auc:0.697293 train-auc:0.862195
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[292] eval-auc:0.698294 train-auc:0.86313
[293] eval-auc:0.698399 train-auc:0.862792
[294] eval-auc:0.698647 train-auc:0.863094
[295] eval-auc:0.698241 train-auc:0.863204
[296] eval-auc:0.698189 train-auc:0.863981
[297] eval-auc:0.698487 train-auc:0.864381
[298] eval-auc:0.698982 train-auc:0.864484
[299] eval-auc:0.699192 train-auc:0.864658
[300] eval-auc:0.698985 train-auc:0.865286
[301] eval-auc:0.699171 train-auc:0.865526
[302] eval-auc:0.698793 train-auc:0.866138
[303] eval-auc:0.699022 train-auc:0.866112
[304] eval-auc:0.698087 train-auc:0.866261
[305] eval-auc:0.697715 train-auc:0.866348
[306] eval-auc:0.697801 train-auc:0.866406
[307] eval-auc:0.697799 train-auc:0.866754
[308] eval-auc:0.697414 train-auc:0.866644
[309] eval-auc:0.697195 train-auc:0.866592
[310] eval-auc:0.697364 train-auc:0.866125
[311] eval-auc:0.698026 train-auc:0.866552
[312] eval-auc:0.697866 train-auc:0.86674
[313] eval-auc:0.697601 train-auc:0.867503
[314] eval-auc:0.697272 train-auc:0.867787
[315] eval-auc:0.697563 train-auc:0.867898
[316] eval-auc:0.697948 train-auc:0.867896
[317] eval-auc:0.697913 train-auc:0.86803
[318] eval-auc:0.697332 train-auc:0.868167
[319] eval-auc:0.69714 train-auc:0.86844
[320] eval-auc:0.696884 train-auc:0.868851
[321] eval-auc:0.697112 train-auc:0.869025
[322] eval-auc:0.697549 train-auc:0.868874
[323] eval-auc:0.697475 train-auc:0.868943
[324] eval-auc:0.697466 train-auc:0.869166
[325] eval-auc:0.69763 train-auc:0.869513
[326] eval-auc:0.698235 train-auc:0.869406
[327] eval-auc:0.698114 train-auc:0.869579
[328] eval-auc:0.698099 train-auc:0.870293
[329] eval-auc:0.697307 train-auc:0.870332
[330] eval-auc:0.696858 train-auc:0.87065
[331] eval-auc:0.696595 train-auc:0.871104
[332] eval-auc:0.696311 train-auc:0.871354
[333] eval-auc:0.696193 train-auc:0.871602
[334] eval-auc:0.695953 train-auc:0.871781
[335] eval-auc:0.695719 train-auc:0.87182
[336] eval-auc:0.695334 train-auc:0.872219
[337] eval-auc:0.695273 train-auc:0.872759
[338] eval-auc:0.695565 train-auc:0.873614
[339] eval-auc:0.695334 train-auc:0.873581
[340] eval-auc:0.695137 train-auc:0.8738
[341] eval-auc:0.695469 train-auc:0.874107
[342] eval-auc:0.695343 train-auc:0.874123
[343] eval-auc:0.695252 train-auc:0.874218
[344] eval-auc:0.69529 train-auc:0.874382
[345] eval-auc:0.69505 train-auc:0.874815
[346] eval-auc:0.694582 train-auc:0.874694
[347] eval-auc:0.694831 train-auc:0.874973
[348] eval-auc:0.695064 train-auc:0.875456
[349] eval-auc:0.694796 train-auc:0.875999
[350] eval-auc:0.694621 train-auc:0.87637
[351] eval-auc:0.694754 train-auc:0.876498
[352] eval-auc:0.694119 train-auc:0.876476
[353] eval-auc:0.693922 train-auc:0.875954
[354] eval-auc:0.694598 train-auc:0.876549
[355] eval-auc:0.69433 train-auc:0.876723
[356] eval-auc:0.694278 train-auc:0.876879
[357] eval-auc:0.693956 train-auc:0.877407
[358] eval-auc:0.69386 train-auc:0.877712
[359] eval-auc:0.693872 train-auc:0.877468
[360] eval-auc:0.694161 train-auc:0.877438
[361] eval-auc:0.694032 train-auc:0.877485
[362] eval-auc:0.694263 train-auc:0.877653
[363] eval-auc:0.694297 train-auc:0.877717
[364] eval-auc:0.694388 train-auc:0.877786
[365] eval-auc:0.694502 train-auc:0.87845
[366] eval-auc:0.695224 train-auc:0.878252
[367] eval-auc:0.694534 train-auc:0.878602
[368] eval-auc:0.694562 train-auc:0.879032
[369] eval-auc:0.694483 train-auc:0.879219
[370] eval-auc:0.694589 train-auc:0.879826
[371] eval-auc:0.694781 train-auc:0.880261
[372] eval-auc:0.693799 train-auc:0.880431
[373] eval-auc:0.693927 train-auc:0.880307
[374] eval-auc:0.693992 train-auc:0.881252
[375] eval-auc:0.693962 train-auc:0.881062
[376] eval-auc:0.695069 train-auc:0.881602
[377] eval-auc:0.695707 train-auc:0.882109
[378] eval-auc:0.695349 train-auc:0.88235
[379] eval-auc:0.694588 train-auc:0.882055
[380] eval-auc:0.694595 train-auc:0.882453
[381] eval-auc:0.693992 train-auc:0.882968
[382] eval-auc:0.693866 train-auc:0.883075
[383] eval-auc:0.694099 train-auc:0.883493
[384] eval-auc:0.693884 train-auc:0.883788
[385] eval-auc:0.693881 train-auc:0.884366
[386] eval-auc:0.693375 train-auc:0.884332
[387] eval-auc:0.693529 train-auc:0.884588
[388] eval-auc:0.693878 train-auc:0.884645
[389] eval-auc:0.693595 train-auc:0.885135
[390] eval-auc:0.693764 train-auc:0.885274
[391] eval-auc:0.693152 train-auc:0.885463
[392] eval-auc:0.693251 train-auc:0.885314
[393] eval-auc:0.693531 train-auc:0.885671
[394] eval-auc:0.693327 train-auc:0.886085
[395] eval-auc:0.693313 train-auc:0.886153
[396] eval-auc:0.693704 train-auc:0.886279
[397] eval-auc:0.693581 train-auc:0.886577
[398] eval-auc:0.692928 train-auc:0.886165
[399] eval-auc:0.692833 train-auc:0.886059
[400] eval-auc:0.692632 train-auc:0.886263
[401] eval-auc:0.693197 train-auc:0.887323
[402] eval-auc:0.692873 train-auc:0.887682
[403] eval-auc:0.693548 train-auc:0.887917
[404] eval-auc:0.694433 train-auc:0.88762
[405] eval-auc:0.695316 train-auc:0.888049
[406] eval-auc:0.695325 train-auc:0.888298
[407] eval-auc:0.694585 train-auc:0.888673
[408] eval-auc:0.694661 train-auc:0.888555
[409] eval-auc:0.694291 train-auc:0.888729
[410] eval-auc:0.694388 train-auc:0.888834
[411] eval-auc:0.693872 train-auc:0.888914
[412] eval-auc:0.693627 train-auc:0.889327
[413] eval-auc:0.693537 train-auc:0.889272
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[415] eval-auc:0.693316 train-auc:0.889116
[416] eval-auc:0.69315 train-auc:0.889481
[417] eval-auc:0.69321 train-auc:0.889523
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[420] eval-auc:0.692092 train-auc:0.889529
[421] eval-auc:0.69248 train-auc:0.889766
[422] eval-auc:0.692625 train-auc:0.890115
[423] eval-auc:0.692416 train-auc:0.889802
[424] eval-auc:0.692852 train-auc:0.889831
[425] eval-auc:0.692814 train-auc:0.889834
[426] eval-auc:0.692996 train-auc:0.889903
[427] eval-auc:0.693296 train-auc:0.890306
[428] eval-auc:0.693347 train-auc:0.890488
[429] eval-auc:0.693097 train-auc:0.890647
[430] eval-auc:0.693025 train-auc:0.890562
[431] eval-auc:0.693545 train-auc:0.891113
[432] eval-auc:0.692864 train-auc:0.89109
[433] eval-auc:0.692194 train-auc:0.891834
[434] eval-auc:0.692218 train-auc:0.891805
[435] eval-auc:0.692623 train-auc:0.892255
[436] eval-auc:0.692431 train-auc:0.892328
[437] eval-auc:0.692019 train-auc:0.892339
[438] eval-auc:0.692122 train-auc:0.892528
[439] eval-auc:0.691728 train-auc:0.891905
[440] eval-auc:0.691359 train-auc:0.892178
[441] eval-auc:0.691562 train-auc:0.892811
[442] eval-auc:0.691786 train-auc:0.892735
[443] eval-auc:0.691739 train-auc:0.893105
[444] eval-auc:0.692014 train-auc:0.893529
[445] eval-auc:0.692709 train-auc:0.893852
[446] eval-auc:0.692731 train-auc:0.893585
[447] eval-auc:0.693142 train-auc:0.893788
[448] eval-auc:0.693857 train-auc:0.893578
[449] eval-auc:0.693097 train-auc:0.893835
[450] eval-auc:0.692703 train-auc:0.894193
[451] eval-auc:0.693378 train-auc:0.894412
[452] eval-auc:0.693184 train-auc:0.89358
[453] eval-auc:0.693599 train-auc:0.893894
[454] eval-auc:0.693426 train-auc:0.894051
[455] eval-auc:0.693893 train-auc:0.894275
[456] eval-auc:0.693945 train-auc:0.894526
[457] eval-auc:0.694059 train-auc:0.893928
[458] eval-auc:0.694068 train-auc:0.894353
[459] eval-auc:0.693879 train-auc:0.894642
[460] eval-auc:0.694423 train-auc:0.894936
[461] eval-auc:0.693931 train-auc:0.894956
[462] eval-auc:0.693761 train-auc:0.89442
[463] eval-auc:0.693788 train-auc:0.895055
[464] eval-auc:0.694003 train-auc:0.895134
[465] eval-auc:0.693922 train-auc:0.895075
[466] eval-auc:0.694169 train-auc:0.894831
[467] eval-auc:0.694146 train-auc:0.894788
[468] eval-auc:0.694449 train-auc:0.895198
[469] eval-auc:0.69386 train-auc:0.895561
[470] eval-auc:0.693739 train-auc:0.895847
[471] eval-auc:0.69357 train-auc:0.895911
[472] eval-auc:0.693291 train-auc:0.895934
[473] eval-auc:0.693327 train-auc:0.896292
[474] eval-auc:0.693534 train-auc:0.896674
[475] eval-auc:0.693121 train-auc:0.897089
[476] eval-auc:0.693601 train-auc:0.897314
[477] eval-auc:0.693421 train-auc:0.897628
[478] eval-auc:0.693633 train-auc:0.898031
[479] eval-auc:0.693369 train-auc:0.898099
[480] eval-auc:0.693816 train-auc:0.898473
[481] eval-auc:0.693933 train-auc:0.89864
[482] eval-auc:0.694283 train-auc:0.898784
[483] eval-auc:0.693758 train-auc:0.898421
[484] eval-auc:0.694004 train-auc:0.898478
[485] eval-auc:0.693753 train-auc:0.898745
Score 0.6937531216119089
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 1.0, 'eta': 0.42500000000000004, 'eval_metric': 'auc', 'gamma': 0.8500000000000001, 'max_depth': 5, 'min_child_weight': 4.0, 'n_estimators': 418.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.65, 'tree_method': 'exact'}
[0] eval-auc:0.692287 train-auc:0.749824
[1] eval-auc:0.704017 train-auc:0.766808
[2] eval-auc:0.714006 train-auc:0.788685
[3] eval-auc:0.708507 train-auc:0.799863
[4] eval-auc:0.710019 train-auc:0.810172
[5] eval-auc:0.705621 train-auc:0.82559
[6] eval-auc:0.703531 train-auc:0.833125
[7] eval-auc:0.709349 train-auc:0.840875
[8] eval-auc:0.708539 train-auc:0.849718
[9] eval-auc:0.708736 train-auc:0.850435
[10] eval-auc:0.706485 train-auc:0.85549
[11] eval-auc:0.710253 train-auc:0.862481
[12] eval-auc:0.707241 train-auc:0.868888
[13] eval-auc:0.707512 train-auc:0.873298
[14] eval-auc:0.702564 train-auc:0.877295
[15] eval-auc:0.707064 train-auc:0.882628
[16] eval-auc:0.706861 train-auc:0.883916
[17] eval-auc:0.702013 train-auc:0.888403
[18] eval-auc:0.701555 train-auc:0.890847
[19] eval-auc:0.702656 train-auc:0.896192
[20] eval-auc:0.698841 train-auc:0.900193
[21] eval-auc:0.695313 train-auc:0.904651
[22] eval-auc:0.693264 train-auc:0.908591
[23] eval-auc:0.694026 train-auc:0.911394
[24] eval-auc:0.693963 train-auc:0.914153
[25] eval-auc:0.696144 train-auc:0.917338
[26] eval-auc:0.694102 train-auc:0.921857
[27] eval-auc:0.694936 train-auc:0.928109
[28] eval-auc:0.699806 train-auc:0.928781
[29] eval-auc:0.698035 train-auc:0.932547
[30] eval-auc:0.697499 train-auc:0.937816
[31] eval-auc:0.695699 train-auc:0.940353
[32] eval-auc:0.697597 train-auc:0.942186
[33] eval-auc:0.693927 train-auc:0.943982
[34] eval-auc:0.694269 train-auc:0.945306
[35] eval-auc:0.695459 train-auc:0.94753
[36] eval-auc:0.697814 train-auc:0.947974
[37] eval-auc:0.695536 train-auc:0.951473
[38] eval-auc:0.693615 train-auc:0.954068
[39] eval-auc:0.692319 train-auc:0.955786
[40] eval-auc:0.694047 train-auc:0.958011
[41] eval-auc:0.693024 train-auc:0.960251
[42] eval-auc:0.692512 train-auc:0.962065
[43] eval-auc:0.690886 train-auc:0.963116
[44] eval-auc:0.691289 train-auc:0.963842
[45] eval-auc:0.689083 train-auc:0.965652
[46] eval-auc:0.68947 train-auc:0.966472
[47] eval-auc:0.689738 train-auc:0.968064
[48] eval-auc:0.68904 train-auc:0.970432
[49] eval-auc:0.690164 train-auc:0.972187
[50] eval-auc:0.68753 train-auc:0.972836
[51] eval-auc:0.687234 train-auc:0.973915
[52] eval-auc:0.685226 train-auc:0.973887
[53] eval-auc:0.684461 train-auc:0.974643
[54] eval-auc:0.684069 train-auc:0.976589
[55] eval-auc:0.682599 train-auc:0.976968
[56] eval-auc:0.683424 train-auc:0.978921
[57] eval-auc:0.683022 train-auc:0.979861
[58] eval-auc:0.682153 train-auc:0.979903
[59] eval-auc:0.680694 train-auc:0.980776
[60] eval-auc:0.682014 train-auc:0.98178
[61] eval-auc:0.682532 train-auc:0.982286
[62] eval-auc:0.683073 train-auc:0.983152
[63] eval-auc:0.683342 train-auc:0.983453
[64] eval-auc:0.681373 train-auc:0.983777
[65] eval-auc:0.681967 train-auc:0.983821
[66] eval-auc:0.68192 train-auc:0.983976
[67] eval-auc:0.680655 train-auc:0.984495
[68] eval-auc:0.677254 train-auc:0.985463
[69] eval-auc:0.677976 train-auc:0.98633
[70] eval-auc:0.678634 train-auc:0.986944
[71] eval-auc:0.678383 train-auc:0.987831
[72] eval-auc:0.675847 train-auc:0.988252
[73] eval-auc:0.678128 train-auc:0.988428
[74] eval-auc:0.677959 train-auc:0.989122
[75] eval-auc:0.677796 train-auc:0.989561
[76] eval-auc:0.676545 train-auc:0.990218
[77] eval-auc:0.677723 train-auc:0.990441
[78] eval-auc:0.678046 train-auc:0.99049
[79] eval-auc:0.679401 train-auc:0.990471
[80] eval-auc:0.676829 train-auc:0.991171
[81] eval-auc:0.676095 train-auc:0.991464
[82] eval-auc:0.676592 train-auc:0.992069
[83] eval-auc:0.674561 train-auc:0.992242
[84] eval-auc:0.67197 train-auc:0.992873
[85] eval-auc:0.67238 train-auc:0.993351
[86] eval-auc:0.671643 train-auc:0.993342
[87] eval-auc:0.66965 train-auc:0.993617
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[195] eval-auc:0.665197 train-auc:0.999922
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[197] eval-auc:0.666204 train-auc:0.999895
[198] eval-auc:0.6652 train-auc:0.999903
[199] eval-auc:0.665611 train-auc:0.9999
[200] eval-auc:0.667236 train-auc:0.999887
[201] eval-auc:0.666887 train-auc:0.999888
[202] eval-auc:0.665657 train-auc:0.999892
[203] eval-auc:0.666455 train-auc:0.999901
[204] eval-auc:0.666571 train-auc:0.9999
[205] eval-auc:0.665479 train-auc:0.999901
[206] eval-auc:0.667797 train-auc:0.999895
[207] eval-auc:0.668893 train-auc:0.999895
[208] eval-auc:0.668604 train-auc:0.999892
[209] eval-auc:0.667628 train-auc:0.999895
[210] eval-auc:0.667463 train-auc:0.999905
[211] eval-auc:0.666487 train-auc:0.999902
[212] eval-auc:0.667297 train-auc:0.999931
[213] eval-auc:0.666982 train-auc:0.999924
[214] eval-auc:0.666878 train-auc:0.999947
[215] eval-auc:0.666351 train-auc:0.999946
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[218] eval-auc:0.668092 train-auc:0.999934
[219] eval-auc:0.667626 train-auc:0.999931
[220] eval-auc:0.666782 train-auc:0.99995
[221] eval-auc:0.666283 train-auc:0.999949
[222] eval-auc:0.666106 train-auc:0.999941
[223] eval-auc:0.666173 train-auc:0.999941
[224] eval-auc:0.666475 train-auc:0.999972
[225] eval-auc:0.66527 train-auc:0.999986
[226] eval-auc:0.664108 train-auc:0.999986
[227] eval-auc:0.663393 train-auc:0.999983
[228] eval-auc:0.662799 train-auc:0.999985
[229] eval-auc:0.663011 train-auc:0.999985
[230] eval-auc:0.664078 train-auc:0.999982
[231] eval-auc:0.663933 train-auc:0.999979
[232] eval-auc:0.66393 train-auc:0.999986
[233] eval-auc:0.664067 train-auc:0.999982
[234] eval-auc:0.664016 train-auc:0.999988
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[236] eval-auc:0.663233 train-auc:0.999989
[237] eval-auc:0.664049 train-auc:0.999987
[238] eval-auc:0.663802 train-auc:0.999986
[239] eval-auc:0.664462 train-auc:0.999983
[240] eval-auc:0.664264 train-auc:0.999974
[241] eval-auc:0.664217 train-auc:0.99999
[242] eval-auc:0.663795 train-auc:0.999991
[243] eval-auc:0.663906 train-auc:0.99999
[244] eval-auc:0.664038 train-auc:0.999989
[245] eval-auc:0.663597 train-auc:0.999971
[246] eval-auc:0.663577 train-auc:0.999973
[247] eval-auc:0.663647 train-auc:0.999973
[248] eval-auc:0.662257 train-auc:0.99998
[249] eval-auc:0.662178 train-auc:0.999985
[250] eval-auc:0.662514 train-auc:0.999995
[251] eval-auc:0.661809 train-auc:0.999991
[252] eval-auc:0.662403 train-auc:0.999986
[253] eval-auc:0.662056 train-auc:0.999983
[254] eval-auc:0.663061 train-auc:0.999987
[255] eval-auc:0.663236 train-auc:0.999997
[256] eval-auc:0.664067 train-auc:0.999998
[257] eval-auc:0.665039 train-auc:0.999999
[258] eval-auc:0.664425 train-auc:0.999999
[259] eval-auc:0.663253 train-auc:1
[260] eval-auc:0.663163 train-auc:1
[261] eval-auc:0.663091 train-auc:1
[262] eval-auc:0.662985 train-auc:1
[263] eval-auc:0.662376 train-auc:1
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[265] eval-auc:0.664475 train-auc:1
[266] eval-auc:0.662902 train-auc:1
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[270] eval-auc:0.662799 train-auc:1
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[280] eval-auc:0.663177 train-auc:1
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[285] eval-auc:0.663381 train-auc:1
[286] eval-auc:0.663509 train-auc:1
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[288] eval-auc:0.6643 train-auc:1
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[292] eval-auc:0.66515 train-auc:1
[293] eval-auc:0.664616 train-auc:1
[294] eval-auc:0.664465 train-auc:1
[295] eval-auc:0.662717 train-auc:1
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[299] eval-auc:0.664153 train-auc:1
[300] eval-auc:0.664532 train-auc:1
[301] eval-auc:0.665161 train-auc:1
[302] eval-auc:0.664354 train-auc:1
[303] eval-auc:0.664104 train-auc:1
[304] eval-auc:0.665089 train-auc:1
[305] eval-auc:0.664448 train-auc:1
[306] eval-auc:0.665161 train-auc:1
[307] eval-auc:0.665954 train-auc:1
[308] eval-auc:0.665491 train-auc:1
[309] eval-auc:0.665269 train-auc:1
[310] eval-auc:0.665535 train-auc:1
[311] eval-auc:0.665508 train-auc:1
[312] eval-auc:0.666269 train-auc:1
[313] eval-auc:0.665847 train-auc:1
[314] eval-auc:0.665057 train-auc:1
[315] eval-auc:0.665427 train-auc:1
[316] eval-auc:0.665308 train-auc:1
[317] eval-auc:0.665244 train-auc:1
[318] eval-auc:0.664756 train-auc:1
[319] eval-auc:0.664979 train-auc:1
[320] eval-auc:0.66407 train-auc:1
[321] eval-auc:0.664144 train-auc:1
[322] eval-auc:0.664704 train-auc:1
[323] eval-auc:0.665927 train-auc:1
[324] eval-auc:0.66573 train-auc:1
[325] eval-auc:0.665063 train-auc:1
[326] eval-auc:0.665713 train-auc:1
[327] eval-auc:0.665156 train-auc:1
[328] eval-auc:0.66448 train-auc:1
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[330] eval-auc:0.663512 train-auc:1
[331] eval-auc:0.663509 train-auc:1
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[336] eval-auc:0.666351 train-auc:1
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[340] eval-auc:0.667122 train-auc:1
[341] eval-auc:0.666721 train-auc:1
[342] eval-auc:0.667373 train-auc:1
[343] eval-auc:0.667978 train-auc:1
[344] eval-auc:0.668512 train-auc:1
[345] eval-auc:0.668171 train-auc:1
[346] eval-auc:0.668057 train-auc:1
[347] eval-auc:0.6679 train-auc:1
[348] eval-auc:0.668139 train-auc:1
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[350] eval-auc:0.667154 train-auc:1
[351] eval-auc:0.666696 train-auc:1
[352] eval-auc:0.666364 train-auc:1
[353] eval-auc:0.666303 train-auc:1
[354] eval-auc:0.666418 train-auc:1
[355] eval-auc:0.666166 train-auc:1
[356] eval-auc:0.665878 train-auc:1
[357] eval-auc:0.66677 train-auc:1
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[359] eval-auc:0.668104 train-auc:1
[360] eval-auc:0.667999 train-auc:1
[361] eval-auc:0.66773 train-auc:1
[362] eval-auc:0.667404 train-auc:1
[363] eval-auc:0.667833 train-auc:1
[364] eval-auc:0.667949 train-auc:1
[365] eval-auc:0.66834 train-auc:1
[366] eval-auc:0.667803 train-auc:1
[367] eval-auc:0.667369 train-auc:1
[368] eval-auc:0.666828 train-auc:1
[369] eval-auc:0.667215 train-auc:1
[370] eval-auc:0.665922 train-auc:1
[371] eval-auc:0.665922 train-auc:1
[372] eval-auc:0.666472 train-auc:1
[373] eval-auc:0.667005 train-auc:1
[374] eval-auc:0.667372 train-auc:1
[375] eval-auc:0.667962 train-auc:1
[376] eval-auc:0.667727 train-auc:1
[377] eval-auc:0.66654 train-auc:1
[378] eval-auc:0.666636 train-auc:1
[379] eval-auc:0.667162 train-auc:1
[380] eval-auc:0.667175 train-auc:1
[381] eval-auc:0.667506 train-auc:1
[382] eval-auc:0.66732 train-auc:1
[383] eval-auc:0.667433 train-auc:1
[384] eval-auc:0.666906 train-auc:1
[385] eval-auc:0.666146 train-auc:1
[386] eval-auc:0.666068 train-auc:1
[387] eval-auc:0.666364 train-auc:1
[388] eval-auc:0.665925 train-auc:1
[389] eval-auc:0.666064 train-auc:1
[390] eval-auc:0.666589 train-auc:1
[391] eval-auc:0.666353 train-auc:1
[392] eval-auc:0.666182 train-auc:1
[393] eval-auc:0.665677 train-auc:1
[394] eval-auc:0.666195 train-auc:1
[395] eval-auc:0.666093 train-auc:1
[396] eval-auc:0.666498 train-auc:1
[397] eval-auc:0.666125 train-auc:1
[398] eval-auc:0.66547 train-auc:1
[399] eval-auc:0.665334 train-auc:1
[400] eval-auc:0.664999 train-auc:1
[401] eval-auc:0.664844 train-auc:1
[402] eval-auc:0.664373 train-auc:1
[403] eval-auc:0.664995 train-auc:1
[404] eval-auc:0.664868 train-auc:1
[405] eval-auc:0.664868 train-auc:1
[406] eval-auc:0.664969 train-auc:1
[407] eval-auc:0.664657 train-auc:1
[408] eval-auc:0.664427 train-auc:1
[409] eval-auc:0.664492 train-auc:1
[410] eval-auc:0.664221 train-auc:1
[411] eval-auc:0.663234 train-auc:1
[412] eval-auc:0.663234 train-auc:1
[413] eval-auc:0.662863 train-auc:1
[414] eval-auc:0.664381 train-auc:1
[415] eval-auc:0.664713 train-auc:1
[416] eval-auc:0.664265 train-auc:1
[417] eval-auc:0.664617 train-auc:1
Score 0.664617061969326
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9, 'eta': 0.2, 'eval_metric': 'auc', 'gamma': 0.6000000000000001, 'max_depth': 13, 'min_child_weight': 5.0, 'n_estimators': 888.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.8500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.684727 train-auc:0.850119
[1] eval-auc:0.668628 train-auc:0.912493
[2] eval-auc:0.670011 train-auc:0.946428
[3] eval-auc:0.682171 train-auc:0.966276
[4] eval-auc:0.689 train-auc:0.976262
[5] eval-auc:0.684431 train-auc:0.984823
[6] eval-auc:0.685697 train-auc:0.98702
[7] eval-auc:0.694375 train-auc:0.989478
[8] eval-auc:0.698534 train-auc:0.992757
[9] eval-auc:0.696958 train-auc:0.994584
[10] eval-auc:0.699077 train-auc:0.996176
[11] eval-auc:0.696922 train-auc:0.997146
[12] eval-auc:0.695066 train-auc:0.998131
[13] eval-auc:0.695282 train-auc:0.99871
[14] eval-auc:0.695862 train-auc:0.999183
[15] eval-auc:0.693741 train-auc:0.999334
[16] eval-auc:0.694049 train-auc:0.999382
[17] eval-auc:0.694062 train-auc:0.999468
[18] eval-auc:0.692101 train-auc:0.999636
[19] eval-auc:0.697009 train-auc:0.999738
[20] eval-auc:0.695411 train-auc:0.999738
[21] eval-auc:0.695079 train-auc:0.999801
[22] eval-auc:0.693707 train-auc:0.999807
[23] eval-auc:0.695358 train-auc:0.999856
[24] eval-auc:0.696898 train-auc:0.999896
[25] eval-auc:0.696853 train-auc:0.999944
[26] eval-auc:0.693331 train-auc:0.999951
[27] eval-auc:0.691915 train-auc:0.999959
[28] eval-auc:0.691548 train-auc:0.999958
[29] eval-auc:0.689788 train-auc:0.999957
[30] eval-auc:0.689255 train-auc:0.999972
[31] eval-auc:0.690963 train-auc:0.999974
[32] eval-auc:0.691132 train-auc:0.99998
[33] eval-auc:0.690857 train-auc:0.999982
[34] eval-auc:0.690415 train-auc:0.999984
[35] eval-auc:0.690598 train-auc:0.999985
[36] eval-auc:0.690935 train-auc:0.999983
[37] eval-auc:0.691393 train-auc:0.999985
[38] eval-auc:0.691909 train-auc:0.999991
[39] eval-auc:0.69359 train-auc:0.999995
[40] eval-auc:0.69379 train-auc:0.999998
[41] eval-auc:0.692833 train-auc:0.999997
[42] eval-auc:0.691688 train-auc:0.999996
[43] eval-auc:0.692415 train-auc:0.999996
[44] eval-auc:0.691752 train-auc:0.999998
[45] eval-auc:0.692348 train-auc:0.999998
[46] eval-auc:0.693025 train-auc:0.999997
[47] eval-auc:0.694058 train-auc:0.999998
[48] eval-auc:0.694715 train-auc:0.999998
[49] eval-auc:0.694382 train-auc:0.999998
[50] eval-auc:0.694219 train-auc:0.999996
[51] eval-auc:0.695079 train-auc:0.999999
[52] eval-auc:0.695722 train-auc:0.999999
[53] eval-auc:0.695329 train-auc:0.999999
[54] eval-auc:0.693545 train-auc:0.999999
[55] eval-auc:0.692748 train-auc:0.999999
[56] eval-auc:0.692112 train-auc:1
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[652] eval-auc:0.685159 train-auc:1
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[657] eval-auc:0.685145 train-auc:1
[658] eval-auc:0.685437 train-auc:1
[659] eval-auc:0.685437 train-auc:1
[660] eval-auc:0.685437 train-auc:1
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[662] eval-auc:0.685258 train-auc:1
[663] eval-auc:0.685264 train-auc:1
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[665] eval-auc:0.685264 train-auc:1
[666] eval-auc:0.685264 train-auc:1
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[668] eval-auc:0.685163 train-auc:1
[669] eval-auc:0.685163 train-auc:1
[670] eval-auc:0.685163 train-auc:1
[671] eval-auc:0.685057 train-auc:1
[672] eval-auc:0.684926 train-auc:1
[673] eval-auc:0.685159 train-auc:1
[674] eval-auc:0.685159 train-auc:1
[675] eval-auc:0.685159 train-auc:1
[676] eval-auc:0.685159 train-auc:1
[677] eval-auc:0.68532 train-auc:1
[678] eval-auc:0.68532 train-auc:1
[679] eval-auc:0.68532 train-auc:1
[680] eval-auc:0.68532 train-auc:1
[681] eval-auc:0.68532 train-auc:1
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[683] eval-auc:0.68516 train-auc:1
[684] eval-auc:0.68516 train-auc:1
[685] eval-auc:0.68516 train-auc:1
[686] eval-auc:0.68516 train-auc:1
[687] eval-auc:0.685043 train-auc:1
[688] eval-auc:0.685043 train-auc:1
[689] eval-auc:0.685043 train-auc:1
[690] eval-auc:0.685043 train-auc:1
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[692] eval-auc:0.684804 train-auc:1
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[694] eval-auc:0.684804 train-auc:1
[695] eval-auc:0.684804 train-auc:1
[696] eval-auc:0.684804 train-auc:1
[697] eval-auc:0.685005 train-auc:1
[698] eval-auc:0.685005 train-auc:1
[699] eval-auc:0.684982 train-auc:1
[700] eval-auc:0.684822 train-auc:1
[701] eval-auc:0.684822 train-auc:1
[702] eval-auc:0.684822 train-auc:1
[703] eval-auc:0.684822 train-auc:1
[704] eval-auc:0.684876 train-auc:1
[705] eval-auc:0.684876 train-auc:1
[706] eval-auc:0.684824 train-auc:1
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[710] eval-auc:0.684824 train-auc:1
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[713] eval-auc:0.68471 train-auc:1
[714] eval-auc:0.684903 train-auc:1
[715] eval-auc:0.68497 train-auc:1
[716] eval-auc:0.68497 train-auc:1
[717] eval-auc:0.68497 train-auc:1
[718] eval-auc:0.68497 train-auc:1
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[720] eval-auc:0.68497 train-auc:1
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[722] eval-auc:0.68497 train-auc:1
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[724] eval-auc:0.684809 train-auc:1
[725] eval-auc:0.684863 train-auc:1
[726] eval-auc:0.684863 train-auc:1
[727] eval-auc:0.684863 train-auc:1
[728] eval-auc:0.684863 train-auc:1
[729] eval-auc:0.684863 train-auc:1
[730] eval-auc:0.684863 train-auc:1
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[732] eval-auc:0.684863 train-auc:1
[733] eval-auc:0.684863 train-auc:1
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[735] eval-auc:0.684863 train-auc:1
[736] eval-auc:0.684927 train-auc:1
[737] eval-auc:0.684927 train-auc:1
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[740] eval-auc:0.685127 train-auc:1
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[744] eval-auc:0.685127 train-auc:1
[745] eval-auc:0.685127 train-auc:1
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[748] eval-auc:0.685067 train-auc:1
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[750] eval-auc:0.685067 train-auc:1
[751] eval-auc:0.685067 train-auc:1
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[755] eval-auc:0.68488 train-auc:1
[756] eval-auc:0.68488 train-auc:1
[757] eval-auc:0.68488 train-auc:1
[758] eval-auc:0.685078 train-auc:1
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[760] eval-auc:0.685078 train-auc:1
[761] eval-auc:0.685055 train-auc:1
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[763] eval-auc:0.685055 train-auc:1
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[765] eval-auc:0.685055 train-auc:1
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[767] eval-auc:0.685055 train-auc:1
[768] eval-auc:0.685147 train-auc:1
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[770] eval-auc:0.685147 train-auc:1
[771] eval-auc:0.685422 train-auc:1
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[774] eval-auc:0.685642 train-auc:1
[775] eval-auc:0.685451 train-auc:1
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[778] eval-auc:0.685197 train-auc:1
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[780] eval-auc:0.685197 train-auc:1
[781] eval-auc:0.685197 train-auc:1
[782] eval-auc:0.685197 train-auc:1
[783] eval-auc:0.685197 train-auc:1
[784] eval-auc:0.685197 train-auc:1
[785] eval-auc:0.685197 train-auc:1
[786] eval-auc:0.685197 train-auc:1
[787] eval-auc:0.685197 train-auc:1
[788] eval-auc:0.685197 train-auc:1
[789] eval-auc:0.685197 train-auc:1
[790] eval-auc:0.685197 train-auc:1
[791] eval-auc:0.685136 train-auc:1
[792] eval-auc:0.685136 train-auc:1
[793] eval-auc:0.685136 train-auc:1
[794] eval-auc:0.685136 train-auc:1
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[796] eval-auc:0.685136 train-auc:1
[797] eval-auc:0.685363 train-auc:1
[798] eval-auc:0.685363 train-auc:1
[799] eval-auc:0.685363 train-auc:1
[800] eval-auc:0.685363 train-auc:1
[801] eval-auc:0.685363 train-auc:1
[802] eval-auc:0.685363 train-auc:1
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[809] eval-auc:0.685328 train-auc:1
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[813] eval-auc:0.685235 train-auc:1
[814] eval-auc:0.685235 train-auc:1
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[816] eval-auc:0.685351 train-auc:1
[817] eval-auc:0.685351 train-auc:1
[818] eval-auc:0.685351 train-auc:1
[819] eval-auc:0.685351 train-auc:1
[820] eval-auc:0.685351 train-auc:1
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[825] eval-auc:0.685099 train-auc:1
[826] eval-auc:0.685099 train-auc:1
[827] eval-auc:0.685099 train-auc:1
[828] eval-auc:0.685099 train-auc:1
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[830] eval-auc:0.685099 train-auc:1
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[832] eval-auc:0.685099 train-auc:1
[833] eval-auc:0.684909 train-auc:1
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[835] eval-auc:0.684675 train-auc:1
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[838] eval-auc:0.684611 train-auc:1
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[840] eval-auc:0.684611 train-auc:1
[841] eval-auc:0.684611 train-auc:1
[842] eval-auc:0.684611 train-auc:1
[843] eval-auc:0.684611 train-auc:1
[844] eval-auc:0.684611 train-auc:1
[845] eval-auc:0.684611 train-auc:1
[846] eval-auc:0.684611 train-auc:1
[847] eval-auc:0.684611 train-auc:1
[848] eval-auc:0.684611 train-auc:1
[849] eval-auc:0.684446 train-auc:1
[850] eval-auc:0.684521 train-auc:1
[851] eval-auc:0.684521 train-auc:1
[852] eval-auc:0.684787 train-auc:1
[853] eval-auc:0.684787 train-auc:1
[854] eval-auc:0.684787 train-auc:1
[855] eval-auc:0.684787 train-auc:1
[856] eval-auc:0.684787 train-auc:1
[857] eval-auc:0.684787 train-auc:1
[858] eval-auc:0.684787 train-auc:1
[859] eval-auc:0.684787 train-auc:1
[860] eval-auc:0.684787 train-auc:1
[861] eval-auc:0.684787 train-auc:1
[862] eval-auc:0.684787 train-auc:1
[863] eval-auc:0.684787 train-auc:1
[864] eval-auc:0.684787 train-auc:1
[865] eval-auc:0.684787 train-auc:1
[866] eval-auc:0.684787 train-auc:1
[867] eval-auc:0.684787 train-auc:1
[868] eval-auc:0.684787 train-auc:1
[869] eval-auc:0.684787 train-auc:1
[870] eval-auc:0.684787 train-auc:1
[871] eval-auc:0.684787 train-auc:1
[872] eval-auc:0.684787 train-auc:1
[873] eval-auc:0.684787 train-auc:1
[874] eval-auc:0.684787 train-auc:1
[875] eval-auc:0.684787 train-auc:1
[876] eval-auc:0.684787 train-auc:1
[877] eval-auc:0.684787 train-auc:1
[878] eval-auc:0.684787 train-auc:1
[879] eval-auc:0.684787 train-auc:1
[880] eval-auc:0.684787 train-auc:1
[881] eval-auc:0.684787 train-auc:1
[882] eval-auc:0.684787 train-auc:1
[883] eval-auc:0.684787 train-auc:1
[884] eval-auc:0.684787 train-auc:1
[885] eval-auc:0.684787 train-auc:1
[886] eval-auc:0.684787 train-auc:1
[887] eval-auc:0.684787 train-auc:1
Score 0.6847872431141809
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.6000000000000001, 'eta': 0.375, 'eval_metric': 'auc', 'gamma': 0.65, 'max_depth': 6, 'min_child_weight': 6.0, 'n_estimators': 370.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.710851 train-auc:0.764983
[1] eval-auc:0.705488 train-auc:0.803314
[2] eval-auc:0.708179 train-auc:0.830199
[3] eval-auc:0.702755 train-auc:0.84571
[4] eval-auc:0.695614 train-auc:0.861278
[5] eval-auc:0.693742 train-auc:0.866541
[6] eval-auc:0.68702 train-auc:0.875051
[7] eval-auc:0.69475 train-auc:0.893327
[8] eval-auc:0.697665 train-auc:0.906952
[9] eval-auc:0.69715 train-auc:0.914134
[10] eval-auc:0.701361 train-auc:0.920606
[11] eval-auc:0.702214 train-auc:0.928147
[12] eval-auc:0.701424 train-auc:0.934628
[13] eval-auc:0.703062 train-auc:0.941324
[14] eval-auc:0.705117 train-auc:0.947014
[15] eval-auc:0.703654 train-auc:0.948861
[16] eval-auc:0.702737 train-auc:0.95199
[17] eval-auc:0.703761 train-auc:0.955854
[18] eval-auc:0.704128 train-auc:0.957501
[19] eval-auc:0.703025 train-auc:0.958308
[20] eval-auc:0.700009 train-auc:0.959362
[21] eval-auc:0.697047 train-auc:0.964111
[22] eval-auc:0.698324 train-auc:0.965594
[23] eval-auc:0.699378 train-auc:0.969189
[24] eval-auc:0.696718 train-auc:0.971531
[25] eval-auc:0.696387 train-auc:0.972553
[26] eval-auc:0.699836 train-auc:0.973976
[27] eval-auc:0.700691 train-auc:0.975236
[28] eval-auc:0.699332 train-auc:0.976809
[29] eval-auc:0.700228 train-auc:0.977037
[30] eval-auc:0.700813 train-auc:0.978206
[31] eval-auc:0.69671 train-auc:0.979713
[32] eval-auc:0.696611 train-auc:0.98072
[33] eval-auc:0.696563 train-auc:0.981991
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[100] eval-auc:0.688215 train-auc:0.999242
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[144] eval-auc:0.689043 train-auc:0.999896
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[146] eval-auc:0.687677 train-auc:0.999901
[147] eval-auc:0.687814 train-auc:0.999901
[148] eval-auc:0.688555 train-auc:0.999903
[149] eval-auc:0.688597 train-auc:0.999908
[150] eval-auc:0.688165 train-auc:0.999909
[151] eval-auc:0.687549 train-auc:0.999913
[152] eval-auc:0.687703 train-auc:0.999916
[153] eval-auc:0.687851 train-auc:0.999927
[154] eval-auc:0.687674 train-auc:0.999929
[155] eval-auc:0.68738 train-auc:0.999932
[156] eval-auc:0.68806 train-auc:0.999938
[157] eval-auc:0.686826 train-auc:0.999956
[158] eval-auc:0.686025 train-auc:0.999956
[159] eval-auc:0.686456 train-auc:0.999957
[160] eval-auc:0.687352 train-auc:0.999965
[161] eval-auc:0.686902 train-auc:0.999973
[162] eval-auc:0.686613 train-auc:0.999973
[163] eval-auc:0.686593 train-auc:0.999977
[164] eval-auc:0.686167 train-auc:0.999978
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[169] eval-auc:0.689322 train-auc:0.999979
[170] eval-auc:0.689713 train-auc:0.99998
[171] eval-auc:0.689333 train-auc:0.999972
[172] eval-auc:0.689386 train-auc:0.999972
[173] eval-auc:0.689386 train-auc:0.999972
[174] eval-auc:0.689386 train-auc:0.999972
[175] eval-auc:0.689339 train-auc:0.999973
[176] eval-auc:0.689378 train-auc:0.999974
[177] eval-auc:0.688903 train-auc:0.999977
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[179] eval-auc:0.688389 train-auc:0.999979
[180] eval-auc:0.688127 train-auc:0.999995
[181] eval-auc:0.686877 train-auc:0.999995
[182] eval-auc:0.686844 train-auc:0.999995
[183] eval-auc:0.687102 train-auc:0.999995
[184] eval-auc:0.686989 train-auc:0.999997
[185] eval-auc:0.687048 train-auc:0.999993
[186] eval-auc:0.686697 train-auc:0.999995
[187] eval-auc:0.686969 train-auc:0.999995
[188] eval-auc:0.686622 train-auc:0.999995
[189] eval-auc:0.686742 train-auc:0.999995
[190] eval-auc:0.686905 train-auc:0.999998
[191] eval-auc:0.686966 train-auc:0.999998
[192] eval-auc:0.686607 train-auc:0.999998
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[194] eval-auc:0.686883 train-auc:0.999999
[195] eval-auc:0.687012 train-auc:0.999999
[196] eval-auc:0.687259 train-auc:0.999999
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[198] eval-auc:0.687131 train-auc:0.999999
[199] eval-auc:0.686883 train-auc:0.999999
[200] eval-auc:0.686688 train-auc:0.999999
[201] eval-auc:0.6864 train-auc:0.999999
[202] eval-auc:0.686834 train-auc:1
[203] eval-auc:0.686747 train-auc:1
[204] eval-auc:0.686771 train-auc:1
[205] eval-auc:0.687061 train-auc:1
[206] eval-auc:0.687469 train-auc:1
[207] eval-auc:0.687469 train-auc:1
[208] eval-auc:0.687711 train-auc:1
[209] eval-auc:0.687711 train-auc:1
[210] eval-auc:0.68811 train-auc:1
[211] eval-auc:0.68811 train-auc:1
[212] eval-auc:0.68811 train-auc:1
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[220] eval-auc:0.688015 train-auc:1
[221] eval-auc:0.687918 train-auc:1
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[224] eval-auc:0.688256 train-auc:1
[225] eval-auc:0.687924 train-auc:1
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[230] eval-auc:0.688028 train-auc:1
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[234] eval-auc:0.687696 train-auc:1
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[236] eval-auc:0.687709 train-auc:1
[237] eval-auc:0.686837 train-auc:1
[238] eval-auc:0.686854 train-auc:1
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[240] eval-auc:0.686129 train-auc:1
[241] eval-auc:0.685689 train-auc:1
[242] eval-auc:0.685399 train-auc:1
[243] eval-auc:0.685112 train-auc:1
[244] eval-auc:0.684384 train-auc:1
[245] eval-auc:0.684079 train-auc:1
[246] eval-auc:0.684263 train-auc:1
[247] eval-auc:0.684129 train-auc:1
[248] eval-auc:0.684012 train-auc:1
[249] eval-auc:0.684294 train-auc:1
[250] eval-auc:0.684085 train-auc:1
[251] eval-auc:0.683898 train-auc:1
[252] eval-auc:0.68453 train-auc:1
[253] eval-auc:0.68453 train-auc:1
[254] eval-auc:0.68453 train-auc:1
[255] eval-auc:0.68453 train-auc:1
[256] eval-auc:0.684446 train-auc:1
[257] eval-auc:0.68439 train-auc:1
[258] eval-auc:0.68389 train-auc:1
[259] eval-auc:0.682855 train-auc:1
[260] eval-auc:0.682855 train-auc:1
[261] eval-auc:0.682202 train-auc:1
[262] eval-auc:0.682339 train-auc:1
[263] eval-auc:0.68234 train-auc:1
[264] eval-auc:0.682435 train-auc:1
[265] eval-auc:0.682555 train-auc:1
[266] eval-auc:0.682359 train-auc:1
[267] eval-auc:0.682154 train-auc:1
[268] eval-auc:0.682086 train-auc:1
[269] eval-auc:0.682086 train-auc:1
[270] eval-auc:0.682284 train-auc:1
[271] eval-auc:0.682432 train-auc:1
[272] eval-auc:0.682311 train-auc:1
[273] eval-auc:0.682375 train-auc:1
[274] eval-auc:0.682375 train-auc:1
[275] eval-auc:0.682375 train-auc:1
[276] eval-auc:0.682375 train-auc:1
[277] eval-auc:0.682203 train-auc:1
[278] eval-auc:0.682393 train-auc:1
[279] eval-auc:0.683167 train-auc:1
[280] eval-auc:0.683167 train-auc:1
[281] eval-auc:0.683167 train-auc:1
[282] eval-auc:0.683281 train-auc:1
[283] eval-auc:0.683281 train-auc:1
[284] eval-auc:0.683956 train-auc:1
[285] eval-auc:0.683683 train-auc:1
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[288] eval-auc:0.683409 train-auc:1
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[290] eval-auc:0.683409 train-auc:1
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[292] eval-auc:0.683365 train-auc:1
[293] eval-auc:0.683109 train-auc:1
[294] eval-auc:0.682779 train-auc:1
[295] eval-auc:0.682806 train-auc:1
[296] eval-auc:0.682806 train-auc:1
[297] eval-auc:0.682806 train-auc:1
[298] eval-auc:0.682057 train-auc:1
[299] eval-auc:0.682326 train-auc:1
[300] eval-auc:0.681985 train-auc:1
[301] eval-auc:0.6812 train-auc:1
[302] eval-auc:0.681343 train-auc:1
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[304] eval-auc:0.681343 train-auc:1
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[306] eval-auc:0.681201 train-auc:1
[307] eval-auc:0.681073 train-auc:1
[308] eval-auc:0.681073 train-auc:1
[309] eval-auc:0.681081 train-auc:1
[310] eval-auc:0.680883 train-auc:1
[311] eval-auc:0.680778 train-auc:1
[312] eval-auc:0.680169 train-auc:1
[313] eval-auc:0.680169 train-auc:1
[314] eval-auc:0.680169 train-auc:1
[315] eval-auc:0.680706 train-auc:1
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[317] eval-auc:0.680839 train-auc:1
[318] eval-auc:0.680839 train-auc:1
[319] eval-auc:0.680839 train-auc:1
[320] eval-auc:0.680813 train-auc:1
[321] eval-auc:0.680813 train-auc:1
[322] eval-auc:0.680813 train-auc:1
[323] eval-auc:0.680813 train-auc:1
[324] eval-auc:0.680813 train-auc:1
[325] eval-auc:0.681268 train-auc:1
[326] eval-auc:0.681268 train-auc:1
[327] eval-auc:0.681128 train-auc:1
[328] eval-auc:0.681127 train-auc:1
[329] eval-auc:0.681127 train-auc:1
[330] eval-auc:0.681127 train-auc:1
[331] eval-auc:0.681312 train-auc:1
[332] eval-auc:0.681312 train-auc:1
[333] eval-auc:0.681312 train-auc:1
[334] eval-auc:0.681312 train-auc:1
[335] eval-auc:0.681312 train-auc:1
[336] eval-auc:0.681251 train-auc:1
[337] eval-auc:0.681938 train-auc:1
[338] eval-auc:0.681938 train-auc:1
[339] eval-auc:0.681938 train-auc:1
[340] eval-auc:0.681938 train-auc:1
[341] eval-auc:0.681938 train-auc:1
[342] eval-auc:0.681938 train-auc:1
[343] eval-auc:0.681938 train-auc:1
[344] eval-auc:0.681938 train-auc:1
[345] eval-auc:0.681938 train-auc:1
[346] eval-auc:0.681938 train-auc:1
[347] eval-auc:0.681938 train-auc:1
[348] eval-auc:0.681938 train-auc:1
[349] eval-auc:0.681938 train-auc:1
[350] eval-auc:0.681938 train-auc:1
[351] eval-auc:0.681938 train-auc:1
[352] eval-auc:0.681938 train-auc:1
[353] eval-auc:0.682153 train-auc:1
[354] eval-auc:0.682153 train-auc:1
[355] eval-auc:0.682153 train-auc:1
[356] eval-auc:0.682153 train-auc:1
[357] eval-auc:0.682153 train-auc:1
[358] eval-auc:0.682153 train-auc:1
[359] eval-auc:0.682153 train-auc:1
[360] eval-auc:0.682153 train-auc:1
[361] eval-auc:0.682153 train-auc:1
[362] eval-auc:0.682153 train-auc:1
[363] eval-auc:0.682153 train-auc:1
[364] eval-auc:0.682103 train-auc:1
[365] eval-auc:0.682103 train-auc:1
[366] eval-auc:0.682103 train-auc:1
[367] eval-auc:0.682103 train-auc:1
[368] eval-auc:0.682103 train-auc:1
[369] eval-auc:0.682173 train-auc:1
Score 0.6821727027981824
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9, 'eta': 0.07500000000000001, 'eval_metric': 'auc', 'gamma': 0.7000000000000001, 'max_depth': 4, 'min_child_weight': 3.0, 'n_estimators': 319.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9, 'tree_method': 'exact'}
[0] eval-auc:0.716389 train-auc:0.725482
[1] eval-auc:0.686539 train-auc:0.749881
[2] eval-auc:0.694358 train-auc:0.753185
[3] eval-auc:0.69722 train-auc:0.759144
[4] eval-auc:0.698032 train-auc:0.760983
[5] eval-auc:0.697837 train-auc:0.767122
[6] eval-auc:0.702821 train-auc:0.769235
[7] eval-auc:0.703281 train-auc:0.772839
[8] eval-auc:0.708049 train-auc:0.78009
[9] eval-auc:0.712576 train-auc:0.781622
[10] eval-auc:0.710394 train-auc:0.787451
[11] eval-auc:0.705204 train-auc:0.792957
[12] eval-auc:0.704711 train-auc:0.790872
[13] eval-auc:0.709529 train-auc:0.791649
[14] eval-auc:0.707917 train-auc:0.790644
[15] eval-auc:0.706238 train-auc:0.792619
[16] eval-auc:0.704756 train-auc:0.797288
[17] eval-auc:0.705809 train-auc:0.802984
[18] eval-auc:0.705164 train-auc:0.803355
[19] eval-auc:0.704796 train-auc:0.80431
[20] eval-auc:0.707083 train-auc:0.804859
[21] eval-auc:0.706126 train-auc:0.80814
[22] eval-auc:0.705541 train-auc:0.809764
[23] eval-auc:0.704673 train-auc:0.813947
[24] eval-auc:0.703778 train-auc:0.817972
[25] eval-auc:0.702974 train-auc:0.820159
[26] eval-auc:0.701486 train-auc:0.822477
[27] eval-auc:0.701522 train-auc:0.825494
[28] eval-auc:0.701317 train-auc:0.825204
[29] eval-auc:0.701703 train-auc:0.825919
[30] eval-auc:0.701231 train-auc:0.827416
[31] eval-auc:0.701574 train-auc:0.830168
[32] eval-auc:0.702976 train-auc:0.833626
[33] eval-auc:0.702465 train-auc:0.836696
[34] eval-auc:0.702858 train-auc:0.838034
[35] eval-auc:0.703375 train-auc:0.839903
[36] eval-auc:0.703375 train-auc:0.841963
[37] eval-auc:0.703679 train-auc:0.843301
[38] eval-auc:0.704397 train-auc:0.845203
[39] eval-auc:0.703845 train-auc:0.846845
[40] eval-auc:0.704517 train-auc:0.847259
[41] eval-auc:0.705321 train-auc:0.848577
[42] eval-auc:0.705438 train-auc:0.848828
[43] eval-auc:0.704386 train-auc:0.850962
[44] eval-auc:0.704253 train-auc:0.852063
[45] eval-auc:0.704605 train-auc:0.852856
[46] eval-auc:0.704265 train-auc:0.854448
[47] eval-auc:0.703371 train-auc:0.854911
[48] eval-auc:0.703397 train-auc:0.855608
[49] eval-auc:0.701963 train-auc:0.856293
[50] eval-auc:0.702365 train-auc:0.856515
[51] eval-auc:0.701602 train-auc:0.857595
[52] eval-auc:0.702473 train-auc:0.85879
[53] eval-auc:0.702884 train-auc:0.862194
[54] eval-auc:0.703035 train-auc:0.862307
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[125] eval-auc:0.705707 train-auc:0.925583
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[130] eval-auc:0.705655 train-auc:0.928948
[131] eval-auc:0.705603 train-auc:0.929385
[132] eval-auc:0.705676 train-auc:0.930165
[133] eval-auc:0.705469 train-auc:0.930318
[134] eval-auc:0.705061 train-auc:0.931211
[135] eval-auc:0.705454 train-auc:0.931284
[136] eval-auc:0.704706 train-auc:0.931652
[137] eval-auc:0.705097 train-auc:0.932223
[138] eval-auc:0.705306 train-auc:0.932675
[139] eval-auc:0.705323 train-auc:0.933035
[140] eval-auc:0.705673 train-auc:0.933602
[141] eval-auc:0.705985 train-auc:0.933608
[142] eval-auc:0.707583 train-auc:0.934227
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[146] eval-auc:0.708801 train-auc:0.936037
[147] eval-auc:0.708388 train-auc:0.936265
[148] eval-auc:0.707896 train-auc:0.936634
[149] eval-auc:0.707272 train-auc:0.936982
[150] eval-auc:0.706917 train-auc:0.937703
[151] eval-auc:0.706448 train-auc:0.938799
[152] eval-auc:0.706935 train-auc:0.939401
[153] eval-auc:0.707481 train-auc:0.939726
[154] eval-auc:0.707666 train-auc:0.940064
[155] eval-auc:0.709169 train-auc:0.941183
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[157] eval-auc:0.70934 train-auc:0.94216
[158] eval-auc:0.70887 train-auc:0.942801
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[160] eval-auc:0.708101 train-auc:0.942963
[161] eval-auc:0.708155 train-auc:0.943417
[162] eval-auc:0.70772 train-auc:0.943385
[163] eval-auc:0.707147 train-auc:0.943949
[164] eval-auc:0.705833 train-auc:0.944956
[165] eval-auc:0.705894 train-auc:0.945497
[166] eval-auc:0.706174 train-auc:0.94575
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[170] eval-auc:0.705733 train-auc:0.947732
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[172] eval-auc:0.706265 train-auc:0.947952
[173] eval-auc:0.706728 train-auc:0.948362
[174] eval-auc:0.707351 train-auc:0.948936
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[176] eval-auc:0.706951 train-auc:0.950034
[177] eval-auc:0.707537 train-auc:0.951083
[178] eval-auc:0.707869 train-auc:0.951338
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[181] eval-auc:0.708483 train-auc:0.952636
[182] eval-auc:0.70874 train-auc:0.952962
[183] eval-auc:0.709209 train-auc:0.953269
[184] eval-auc:0.709599 train-auc:0.953548
[185] eval-auc:0.709535 train-auc:0.953573
[186] eval-auc:0.709191 train-auc:0.953912
[187] eval-auc:0.708842 train-auc:0.954544
[188] eval-auc:0.708746 train-auc:0.954601
[189] eval-auc:0.708865 train-auc:0.954953
[190] eval-auc:0.708703 train-auc:0.955287
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[192] eval-auc:0.708757 train-auc:0.955951
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[201] eval-auc:0.707494 train-auc:0.958406
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[208] eval-auc:0.708822 train-auc:0.960986
[209] eval-auc:0.708808 train-auc:0.960934
[210] eval-auc:0.708618 train-auc:0.961177
[211] eval-auc:0.70907 train-auc:0.961676
[212] eval-auc:0.70964 train-auc:0.962551
[213] eval-auc:0.709236 train-auc:0.962666
[214] eval-auc:0.70928 train-auc:0.962795
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[216] eval-auc:0.709419 train-auc:0.963459
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[218] eval-auc:0.708901 train-auc:0.964176
[219] eval-auc:0.70881 train-auc:0.964278
[220] eval-auc:0.709302 train-auc:0.964339
[221] eval-auc:0.709299 train-auc:0.964768
[222] eval-auc:0.709395 train-auc:0.964679
[223] eval-auc:0.70932 train-auc:0.964911
[224] eval-auc:0.70892 train-auc:0.965208
[225] eval-auc:0.708592 train-auc:0.965379
[226] eval-auc:0.708358 train-auc:0.965814
[227] eval-auc:0.70876 train-auc:0.965892
[228] eval-auc:0.708379 train-auc:0.965973
[229] eval-auc:0.70823 train-auc:0.966124
[230] eval-auc:0.708265 train-auc:0.966208
[231] eval-auc:0.708032 train-auc:0.966298
[232] eval-auc:0.707979 train-auc:0.966487
[233] eval-auc:0.708114 train-auc:0.966602
[234] eval-auc:0.708108 train-auc:0.966802
[235] eval-auc:0.708176 train-auc:0.966897
[236] eval-auc:0.708144 train-auc:0.96731
[237] eval-auc:0.708407 train-auc:0.967488
[238] eval-auc:0.708388 train-auc:0.967855
[239] eval-auc:0.708484 train-auc:0.967784
[240] eval-auc:0.708336 train-auc:0.967987
[241] eval-auc:0.708251 train-auc:0.968356
[242] eval-auc:0.708012 train-auc:0.968616
[243] eval-auc:0.707881 train-auc:0.968773
[244] eval-auc:0.707467 train-auc:0.969026
[245] eval-auc:0.708172 train-auc:0.969373
[246] eval-auc:0.708189 train-auc:0.969521
[247] eval-auc:0.708067 train-auc:0.96975
[248] eval-auc:0.708575 train-auc:0.970102
[249] eval-auc:0.708085 train-auc:0.970069
[250] eval-auc:0.708831 train-auc:0.97029
[251] eval-auc:0.709063 train-auc:0.970534
[252] eval-auc:0.709328 train-auc:0.970708
[253] eval-auc:0.709346 train-auc:0.970779
[254] eval-auc:0.709573 train-auc:0.970926
[255] eval-auc:0.709404 train-auc:0.97104
[256] eval-auc:0.709466 train-auc:0.971292
[257] eval-auc:0.709533 train-auc:0.971381
[258] eval-auc:0.710168 train-auc:0.971582
[259] eval-auc:0.710133 train-auc:0.97171
[260] eval-auc:0.710391 train-auc:0.971974
[261] eval-auc:0.710377 train-auc:0.97215
[262] eval-auc:0.710421 train-auc:0.972264
[263] eval-auc:0.709954 train-auc:0.972322
[264] eval-auc:0.70969 train-auc:0.972356
[265] eval-auc:0.709978 train-auc:0.972495
[266] eval-auc:0.709753 train-auc:0.972529
[267] eval-auc:0.709573 train-auc:0.972591
[268] eval-auc:0.70969 train-auc:0.972678
[269] eval-auc:0.709993 train-auc:0.9731
[270] eval-auc:0.71027 train-auc:0.973505
[271] eval-auc:0.710263 train-auc:0.973653
[272] eval-auc:0.710576 train-auc:0.973969
[273] eval-auc:0.71048 train-auc:0.974169
[274] eval-auc:0.709762 train-auc:0.974503
[275] eval-auc:0.709797 train-auc:0.974598
[276] eval-auc:0.709454 train-auc:0.974859
[277] eval-auc:0.709402 train-auc:0.975207
[278] eval-auc:0.70936 train-auc:0.975314
[279] eval-auc:0.709233 train-auc:0.975608
[280] eval-auc:0.70899 train-auc:0.975761
[281] eval-auc:0.709205 train-auc:0.975891
[282] eval-auc:0.709292 train-auc:0.976038
[283] eval-auc:0.70937 train-auc:0.976232
[284] eval-auc:0.709395 train-auc:0.97636
[285] eval-auc:0.709561 train-auc:0.976451
[286] eval-auc:0.709749 train-auc:0.9766
[287] eval-auc:0.709617 train-auc:0.976598
[288] eval-auc:0.709745 train-auc:0.976857
[289] eval-auc:0.70946 train-auc:0.976991
[290] eval-auc:0.709512 train-auc:0.977113
[291] eval-auc:0.709309 train-auc:0.977251
[292] eval-auc:0.709198 train-auc:0.97726
[293] eval-auc:0.709075 train-auc:0.977413
[294] eval-auc:0.708845 train-auc:0.977589
[295] eval-auc:0.709114 train-auc:0.977732
[296] eval-auc:0.709247 train-auc:0.977852
[297] eval-auc:0.709864 train-auc:0.978033
[298] eval-auc:0.709433 train-auc:0.978087
[299] eval-auc:0.709577 train-auc:0.978346
[300] eval-auc:0.709769 train-auc:0.978572
[301] eval-auc:0.709548 train-auc:0.978755
[302] eval-auc:0.709564 train-auc:0.978766
[303] eval-auc:0.709716 train-auc:0.978945
[304] eval-auc:0.709545 train-auc:0.978961
[305] eval-auc:0.709384 train-auc:0.978975
[306] eval-auc:0.70923 train-auc:0.979176
[307] eval-auc:0.709425 train-auc:0.979451
[308] eval-auc:0.709835 train-auc:0.979594
[309] eval-auc:0.709679 train-auc:0.979787
[310] eval-auc:0.709658 train-auc:0.979834
[311] eval-auc:0.709539 train-auc:0.979995
[312] eval-auc:0.709346 train-auc:0.980071
[313] eval-auc:0.709299 train-auc:0.980163
[314] eval-auc:0.709424 train-auc:0.980174
[315] eval-auc:0.709405 train-auc:0.980215
[316] eval-auc:0.709349 train-auc:0.980221
[317] eval-auc:0.709474 train-auc:0.980298
[318] eval-auc:0.709614 train-auc:0.980401
Score 0.7096139555847921
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 1.0, 'eta': 0.05, 'eval_metric': 'auc', 'gamma': 0.75, 'max_depth': 4, 'min_child_weight': 3.0, 'n_estimators': 342.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9, 'tree_method': 'exact'}
[0] eval-auc:0.707553 train-auc:0.731473
[1] eval-auc:0.684537 train-auc:0.754633
[2] eval-auc:0.690115 train-auc:0.759664
[3] eval-auc:0.692531 train-auc:0.76695
[4] eval-auc:0.690902 train-auc:0.767688
[5] eval-auc:0.689683 train-auc:0.766864
[6] eval-auc:0.694295 train-auc:0.7695
[7] eval-auc:0.69744 train-auc:0.772988
[8] eval-auc:0.703573 train-auc:0.780486
[9] eval-auc:0.703055 train-auc:0.78008
[10] eval-auc:0.701722 train-auc:0.781639
[11] eval-auc:0.701687 train-auc:0.783855
[12] eval-auc:0.704092 train-auc:0.785214
[13] eval-auc:0.703363 train-auc:0.788309
[14] eval-auc:0.703327 train-auc:0.788322
[15] eval-auc:0.704087 train-auc:0.789712
[16] eval-auc:0.70399 train-auc:0.794969
[17] eval-auc:0.704439 train-auc:0.797101
[18] eval-auc:0.703751 train-auc:0.797703
[19] eval-auc:0.703664 train-auc:0.796425
[20] eval-auc:0.707586 train-auc:0.799191
[21] eval-auc:0.708358 train-auc:0.80247
[22] eval-auc:0.708847 train-auc:0.804578
[23] eval-auc:0.707066 train-auc:0.807477
[24] eval-auc:0.705709 train-auc:0.809557
[25] eval-auc:0.703879 train-auc:0.810669
[26] eval-auc:0.701073 train-auc:0.811662
[27] eval-auc:0.701962 train-auc:0.813727
[28] eval-auc:0.701237 train-auc:0.812786
[29] eval-auc:0.699991 train-auc:0.814968
[30] eval-auc:0.700831 train-auc:0.817295
[31] eval-auc:0.700889 train-auc:0.81831
[32] eval-auc:0.701849 train-auc:0.820181
[33] eval-auc:0.700818 train-auc:0.821731
[34] eval-auc:0.700825 train-auc:0.823526
[35] eval-auc:0.700336 train-auc:0.824159
[36] eval-auc:0.699437 train-auc:0.824728
[37] eval-auc:0.699284 train-auc:0.825418
[38] eval-auc:0.699946 train-auc:0.827984
[39] eval-auc:0.700315 train-auc:0.82914
[40] eval-auc:0.700385 train-auc:0.831381
[41] eval-auc:0.700103 train-auc:0.832429
[42] eval-auc:0.700526 train-auc:0.833484
[43] eval-auc:0.700056 train-auc:0.834877
[44] eval-auc:0.700117 train-auc:0.836582
[45] eval-auc:0.700866 train-auc:0.838832
[46] eval-auc:0.702657 train-auc:0.840617
[47] eval-auc:0.702952 train-auc:0.841084
[48] eval-auc:0.703397 train-auc:0.842337
[49] eval-auc:0.703653 train-auc:0.8437
[50] eval-auc:0.703194 train-auc:0.843797
[51] eval-auc:0.704049 train-auc:0.844048
[52] eval-auc:0.705348 train-auc:0.844825
[53] eval-auc:0.705121 train-auc:0.846735
[54] eval-auc:0.705318 train-auc:0.847292
[55] eval-auc:0.706003 train-auc:0.847933
[56] eval-auc:0.706157 train-auc:0.848274
[57] eval-auc:0.70633 train-auc:0.850227
[58] eval-auc:0.705863 train-auc:0.852126
[59] eval-auc:0.705189 train-auc:0.853538
[60] eval-auc:0.706139 train-auc:0.853889
[61] eval-auc:0.706527 train-auc:0.854332
[62] eval-auc:0.706553 train-auc:0.854969
[63] eval-auc:0.707025 train-auc:0.856204
[64] eval-auc:0.706914 train-auc:0.856264
[65] eval-auc:0.706906 train-auc:0.855958
[66] eval-auc:0.707166 train-auc:0.859097
[67] eval-auc:0.707364 train-auc:0.860329
[68] eval-auc:0.707897 train-auc:0.861522
[69] eval-auc:0.707109 train-auc:0.863999
[70] eval-auc:0.706689 train-auc:0.865474
[71] eval-auc:0.705858 train-auc:0.866189
[72] eval-auc:0.706561 train-auc:0.867364
[73] eval-auc:0.706179 train-auc:0.866926
[74] eval-auc:0.706234 train-auc:0.867385
[75] eval-auc:0.706367 train-auc:0.86813
[76] eval-auc:0.706099 train-auc:0.869025
[77] eval-auc:0.705332 train-auc:0.86981
[78] eval-auc:0.705232 train-auc:0.872046
[79] eval-auc:0.705056 train-auc:0.872172
[80] eval-auc:0.704744 train-auc:0.873115
[81] eval-auc:0.704798 train-auc:0.874165
[82] eval-auc:0.705417 train-auc:0.87549
[83] eval-auc:0.705748 train-auc:0.87571
[84] eval-auc:0.706121 train-auc:0.876835
[85] eval-auc:0.706226 train-auc:0.876987
[86] eval-auc:0.70653 train-auc:0.878945
[87] eval-auc:0.706518 train-auc:0.879241
[88] eval-auc:0.707388 train-auc:0.880714
[89] eval-auc:0.707718 train-auc:0.881808
[90] eval-auc:0.707825 train-auc:0.881977
[91] eval-auc:0.706001 train-auc:0.882365
[92] eval-auc:0.705152 train-auc:0.884145
[93] eval-auc:0.705401 train-auc:0.884939
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[242] eval-auc:0.710628 train-auc:0.954145
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[244] eval-auc:0.710561 train-auc:0.954675
[245] eval-auc:0.710694 train-auc:0.954819
[246] eval-auc:0.711137 train-auc:0.95517
[247] eval-auc:0.71107 train-auc:0.955257
[248] eval-auc:0.711167 train-auc:0.955283
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[250] eval-auc:0.711059 train-auc:0.95568
[251] eval-auc:0.710657 train-auc:0.956005
[252] eval-auc:0.710939 train-auc:0.956351
[253] eval-auc:0.710968 train-auc:0.956597
[254] eval-auc:0.71116 train-auc:0.956707
[255] eval-auc:0.711084 train-auc:0.956815
[256] eval-auc:0.710809 train-auc:0.957035
[257] eval-auc:0.710843 train-auc:0.957125
[258] eval-auc:0.711074 train-auc:0.957239
[259] eval-auc:0.711294 train-auc:0.957717
[260] eval-auc:0.711091 train-auc:0.957912
[261] eval-auc:0.711118 train-auc:0.958033
[262] eval-auc:0.710919 train-auc:0.958479
[263] eval-auc:0.710832 train-auc:0.958686
[264] eval-auc:0.710704 train-auc:0.958801
[265] eval-auc:0.710671 train-auc:0.958934
[266] eval-auc:0.710581 train-auc:0.959153
[267] eval-auc:0.710492 train-auc:0.959196
[268] eval-auc:0.710896 train-auc:0.959409
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[270] eval-auc:0.710913 train-auc:0.959984
[271] eval-auc:0.710907 train-auc:0.960212
[272] eval-auc:0.710893 train-auc:0.960464
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[278] eval-auc:0.710174 train-auc:0.961871
[279] eval-auc:0.7107 train-auc:0.962025
[280] eval-auc:0.71043 train-auc:0.962384
[281] eval-auc:0.710403 train-auc:0.962364
[282] eval-auc:0.710119 train-auc:0.962515
[283] eval-auc:0.710002 train-auc:0.962671
[284] eval-auc:0.710123 train-auc:0.962905
[285] eval-auc:0.70983 train-auc:0.963257
[286] eval-auc:0.709831 train-auc:0.963519
[287] eval-auc:0.709513 train-auc:0.963672
[288] eval-auc:0.709634 train-auc:0.96395
[289] eval-auc:0.709414 train-auc:0.964147
[290] eval-auc:0.709244 train-auc:0.964509
[291] eval-auc:0.709104 train-auc:0.964773
[292] eval-auc:0.709069 train-auc:0.964887
[293] eval-auc:0.709089 train-auc:0.964962
[294] eval-auc:0.709118 train-auc:0.965011
[295] eval-auc:0.709671 train-auc:0.96534
[296] eval-auc:0.709676 train-auc:0.965432
[297] eval-auc:0.709619 train-auc:0.965569
[298] eval-auc:0.709649 train-auc:0.965649
[299] eval-auc:0.709536 train-auc:0.965935
[300] eval-auc:0.70955 train-auc:0.965984
[301] eval-auc:0.709866 train-auc:0.966274
[302] eval-auc:0.709871 train-auc:0.966465
[303] eval-auc:0.710014 train-auc:0.966731
[304] eval-auc:0.710133 train-auc:0.966777
[305] eval-auc:0.709888 train-auc:0.966803
[306] eval-auc:0.709721 train-auc:0.967094
[307] eval-auc:0.709635 train-auc:0.967275
[308] eval-auc:0.709731 train-auc:0.967362
[309] eval-auc:0.709628 train-auc:0.967568
[310] eval-auc:0.709705 train-auc:0.967926
[311] eval-auc:0.709721 train-auc:0.968049
[312] eval-auc:0.709693 train-auc:0.968154
[313] eval-auc:0.709564 train-auc:0.968381
[314] eval-auc:0.709344 train-auc:0.968444
[315] eval-auc:0.709821 train-auc:0.968626
[316] eval-auc:0.709958 train-auc:0.968632
[317] eval-auc:0.709964 train-auc:0.968712
[318] eval-auc:0.710011 train-auc:0.969021
[319] eval-auc:0.709978 train-auc:0.969082
[320] eval-auc:0.709984 train-auc:0.969257
[321] eval-auc:0.71027 train-auc:0.969307
[322] eval-auc:0.710194 train-auc:0.96934
[323] eval-auc:0.709742 train-auc:0.96944
[324] eval-auc:0.709529 train-auc:0.969635
[325] eval-auc:0.709584 train-auc:0.969844
[326] eval-auc:0.710155 train-auc:0.970156
[327] eval-auc:0.710115 train-auc:0.970095
[328] eval-auc:0.71038 train-auc:0.970177
[329] eval-auc:0.710261 train-auc:0.970391
[330] eval-auc:0.71003 train-auc:0.970442
[331] eval-auc:0.710063 train-auc:0.970668
[332] eval-auc:0.710505 train-auc:0.97078
[333] eval-auc:0.710476 train-auc:0.971047
[334] eval-auc:0.710156 train-auc:0.971136
[335] eval-auc:0.709835 train-auc:0.971393
[336] eval-auc:0.709769 train-auc:0.971529
[337] eval-auc:0.709883 train-auc:0.971805
[338] eval-auc:0.709635 train-auc:0.971981
[339] eval-auc:0.70952 train-auc:0.971905
[340] eval-auc:0.709721 train-auc:0.971846
[341] eval-auc:0.709322 train-auc:0.972016
Score 0.7093215899816053
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 1.0, 'eta': 0.05, 'eval_metric': 'auc', 'gamma': 0.8500000000000001, 'max_depth': 4, 'min_child_weight': 2.0, 'n_estimators': 233.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.710015 train-auc:0.732367
[1] eval-auc:0.68996 train-auc:0.751056
[2] eval-auc:0.693721 train-auc:0.749215
[3] eval-auc:0.694631 train-auc:0.753049
[4] eval-auc:0.696479 train-auc:0.752308
[5] eval-auc:0.695864 train-auc:0.760023
[6] eval-auc:0.695775 train-auc:0.762326
[7] eval-auc:0.697436 train-auc:0.763155
[8] eval-auc:0.697214 train-auc:0.764354
[9] eval-auc:0.697658 train-auc:0.766201
[10] eval-auc:0.699543 train-auc:0.771108
[11] eval-auc:0.699172 train-auc:0.773756
[12] eval-auc:0.698197 train-auc:0.779444
[13] eval-auc:0.695787 train-auc:0.783393
[14] eval-auc:0.697884 train-auc:0.78402
[15] eval-auc:0.698186 train-auc:0.787103
[16] eval-auc:0.698104 train-auc:0.788356
[17] eval-auc:0.698689 train-auc:0.791407
[18] eval-auc:0.700908 train-auc:0.795857
[19] eval-auc:0.700622 train-auc:0.797388
[20] eval-auc:0.702734 train-auc:0.801964
[21] eval-auc:0.702135 train-auc:0.803773
[22] eval-auc:0.701106 train-auc:0.805172
[23] eval-auc:0.7008 train-auc:0.806739
[24] eval-auc:0.700282 train-auc:0.809925
[25] eval-auc:0.700663 train-auc:0.810935
[26] eval-auc:0.700065 train-auc:0.812091
[27] eval-auc:0.700244 train-auc:0.813199
[28] eval-auc:0.701696 train-auc:0.815988
[29] eval-auc:0.701704 train-auc:0.818618
[30] eval-auc:0.701065 train-auc:0.819614
[31] eval-auc:0.702063 train-auc:0.820512
[32] eval-auc:0.703001 train-auc:0.821841
[33] eval-auc:0.703219 train-auc:0.822446
[34] eval-auc:0.702489 train-auc:0.825209
[35] eval-auc:0.702509 train-auc:0.826249
[36] eval-auc:0.702118 train-auc:0.826682
[37] eval-auc:0.70176 train-auc:0.827592
[38] eval-auc:0.701952 train-auc:0.827755
[39] eval-auc:0.701598 train-auc:0.828808
[40] eval-auc:0.699705 train-auc:0.830884
[41] eval-auc:0.69962 train-auc:0.832454
[42] eval-auc:0.698809 train-auc:0.833577
[43] eval-auc:0.698262 train-auc:0.83401
[44] eval-auc:0.69799 train-auc:0.836754
[45] eval-auc:0.698068 train-auc:0.839302
[46] eval-auc:0.699689 train-auc:0.841247
[47] eval-auc:0.699521 train-auc:0.841932
[48] eval-auc:0.698883 train-auc:0.843056
[49] eval-auc:0.698576 train-auc:0.845026
[50] eval-auc:0.698843 train-auc:0.844926
[51] eval-auc:0.699306 train-auc:0.84481
[52] eval-auc:0.700196 train-auc:0.845441
[53] eval-auc:0.701491 train-auc:0.847395
[54] eval-auc:0.701704 train-auc:0.848099
[55] eval-auc:0.70229 train-auc:0.84851
[56] eval-auc:0.701283 train-auc:0.848693
[57] eval-auc:0.701189 train-auc:0.849683
[58] eval-auc:0.70029 train-auc:0.850401
[59] eval-auc:0.699179 train-auc:0.852335
[60] eval-auc:0.699259 train-auc:0.852519
[61] eval-auc:0.69966 train-auc:0.853713
[62] eval-auc:0.699701 train-auc:0.854335
[63] eval-auc:0.699645 train-auc:0.854839
[64] eval-auc:0.699364 train-auc:0.854876
[65] eval-auc:0.699903 train-auc:0.855265
[66] eval-auc:0.701422 train-auc:0.858619
[67] eval-auc:0.701612 train-auc:0.859939
[68] eval-auc:0.701527 train-auc:0.859846
[69] eval-auc:0.700899 train-auc:0.860439
[70] eval-auc:0.701352 train-auc:0.861873
[71] eval-auc:0.701425 train-auc:0.863645
[72] eval-auc:0.701677 train-auc:0.864115
[73] eval-auc:0.701627 train-auc:0.864495
[74] eval-auc:0.702609 train-auc:0.866417
[75] eval-auc:0.702743 train-auc:0.866817
[76] eval-auc:0.70288 train-auc:0.867153
[77] eval-auc:0.703183 train-auc:0.86753
[78] eval-auc:0.703736 train-auc:0.869029
[79] eval-auc:0.704271 train-auc:0.870207
[80] eval-auc:0.704508 train-auc:0.872347
[81] eval-auc:0.704125 train-auc:0.872415
[82] eval-auc:0.703939 train-auc:0.872765
[83] eval-auc:0.703794 train-auc:0.873885
[84] eval-auc:0.703834 train-auc:0.874004
[85] eval-auc:0.703691 train-auc:0.874412
[86] eval-auc:0.704016 train-auc:0.875146
[87] eval-auc:0.704341 train-auc:0.875338
[88] eval-auc:0.704618 train-auc:0.876073
[89] eval-auc:0.703208 train-auc:0.876648
[90] eval-auc:0.703491 train-auc:0.877478
[91] eval-auc:0.702721 train-auc:0.878332
[92] eval-auc:0.702759 train-auc:0.878847
[93] eval-auc:0.702667 train-auc:0.879318
[94] eval-auc:0.703421 train-auc:0.881635
[95] eval-auc:0.703122 train-auc:0.881558
[96] eval-auc:0.704149 train-auc:0.883341
[97] eval-auc:0.70398 train-auc:0.884197
[98] eval-auc:0.704386 train-auc:0.884986
[99] eval-auc:0.704464 train-auc:0.885392
[100] eval-auc:0.704315 train-auc:0.885849
[101] eval-auc:0.704386 train-auc:0.887606
[102] eval-auc:0.704202 train-auc:0.887906
[103] eval-auc:0.70467 train-auc:0.889017
[104] eval-auc:0.704563 train-auc:0.889447
[105] eval-auc:0.704298 train-auc:0.890011
[106] eval-auc:0.704286 train-auc:0.889956
[107] eval-auc:0.704597 train-auc:0.890956
[108] eval-auc:0.703861 train-auc:0.892386
[109] eval-auc:0.70442 train-auc:0.893513
[110] eval-auc:0.70495 train-auc:0.893679
[111] eval-auc:0.705093 train-auc:0.894508
[112] eval-auc:0.705257 train-auc:0.89546
[113] eval-auc:0.704208 train-auc:0.896601
[114] eval-auc:0.70433 train-auc:0.897232
[115] eval-auc:0.704793 train-auc:0.89866
[116] eval-auc:0.704348 train-auc:0.899576
[117] eval-auc:0.704951 train-auc:0.899982
[118] eval-auc:0.705079 train-auc:0.900177
[119] eval-auc:0.704593 train-auc:0.901151
[120] eval-auc:0.704682 train-auc:0.901889
[121] eval-auc:0.705015 train-auc:0.903994
[122] eval-auc:0.705305 train-auc:0.905028
[123] eval-auc:0.706284 train-auc:0.905767
[124] eval-auc:0.706198 train-auc:0.906917
[125] eval-auc:0.705911 train-auc:0.907309
[126] eval-auc:0.706559 train-auc:0.908196
[127] eval-auc:0.706506 train-auc:0.908474
[128] eval-auc:0.706444 train-auc:0.908903
[129] eval-auc:0.706756 train-auc:0.90983
[130] eval-auc:0.706704 train-auc:0.910324
[131] eval-auc:0.707027 train-auc:0.911053
[132] eval-auc:0.707625 train-auc:0.911526
[133] eval-auc:0.706836 train-auc:0.91157
[134] eval-auc:0.70706 train-auc:0.912284
[135] eval-auc:0.707028 train-auc:0.912727
[136] eval-auc:0.706763 train-auc:0.913073
[137] eval-auc:0.706967 train-auc:0.914272
[138] eval-auc:0.707529 train-auc:0.91488
[139] eval-auc:0.708103 train-auc:0.915813
[140] eval-auc:0.708417 train-auc:0.916025
[141] eval-auc:0.708968 train-auc:0.91682
[142] eval-auc:0.708568 train-auc:0.917872
[143] eval-auc:0.708583 train-auc:0.918889
[144] eval-auc:0.708693 train-auc:0.919892
[145] eval-auc:0.708306 train-auc:0.920849
[146] eval-auc:0.708247 train-auc:0.921173
[147] eval-auc:0.708105 train-auc:0.922072
[148] eval-auc:0.708128 train-auc:0.922357
[149] eval-auc:0.708129 train-auc:0.922834
[150] eval-auc:0.707855 train-auc:0.923011
[151] eval-auc:0.708141 train-auc:0.923489
[152] eval-auc:0.70814 train-auc:0.92341
[153] eval-auc:0.708465 train-auc:0.923863
[154] eval-auc:0.708149 train-auc:0.924271
[155] eval-auc:0.708243 train-auc:0.924926
[156] eval-auc:0.708985 train-auc:0.925537
[157] eval-auc:0.709902 train-auc:0.926087
[158] eval-auc:0.709762 train-auc:0.926612
[159] eval-auc:0.709556 train-auc:0.927025
[160] eval-auc:0.709454 train-auc:0.927146
[161] eval-auc:0.709192 train-auc:0.927859
[162] eval-auc:0.709309 train-auc:0.928095
[163] eval-auc:0.709369 train-auc:0.929082
[164] eval-auc:0.709443 train-auc:0.92962
[165] eval-auc:0.708909 train-auc:0.930184
[166] eval-auc:0.709113 train-auc:0.930422
[167] eval-auc:0.708691 train-auc:0.930945
[168] eval-auc:0.708728 train-auc:0.931545
[169] eval-auc:0.708892 train-auc:0.931756
[170] eval-auc:0.708559 train-auc:0.931944
[171] eval-auc:0.708257 train-auc:0.932031
[172] eval-auc:0.708163 train-auc:0.93214
[173] eval-auc:0.70759 train-auc:0.932745
[174] eval-auc:0.707315 train-auc:0.93276
[175] eval-auc:0.707211 train-auc:0.933208
[176] eval-auc:0.707242 train-auc:0.933944
[177] eval-auc:0.707548 train-auc:0.934089
[178] eval-auc:0.707278 train-auc:0.934387
[179] eval-auc:0.707374 train-auc:0.934694
[180] eval-auc:0.707318 train-auc:0.934677
[181] eval-auc:0.707555 train-auc:0.934945
[182] eval-auc:0.707129 train-auc:0.935458
[183] eval-auc:0.707333 train-auc:0.935616
[184] eval-auc:0.707009 train-auc:0.935957
[185] eval-auc:0.707092 train-auc:0.936012
[186] eval-auc:0.706922 train-auc:0.936079
[187] eval-auc:0.706979 train-auc:0.936582
[188] eval-auc:0.706877 train-auc:0.936984
[189] eval-auc:0.706718 train-auc:0.937572
[190] eval-auc:0.706872 train-auc:0.937874
[191] eval-auc:0.706792 train-auc:0.938368
[192] eval-auc:0.707275 train-auc:0.939029
[193] eval-auc:0.707458 train-auc:0.939247
[194] eval-auc:0.707621 train-auc:0.939999
[195] eval-auc:0.707528 train-auc:0.940052
[196] eval-auc:0.70773 train-auc:0.940549
[197] eval-auc:0.708144 train-auc:0.941046
[198] eval-auc:0.70828 train-auc:0.941835
[199] eval-auc:0.708481 train-auc:0.941966
[200] eval-auc:0.708066 train-auc:0.942776
[201] eval-auc:0.708381 train-auc:0.942946
[202] eval-auc:0.708003 train-auc:0.943316
[203] eval-auc:0.708017 train-auc:0.943645
[204] eval-auc:0.708245 train-auc:0.943809
[205] eval-auc:0.707849 train-auc:0.943792
[206] eval-auc:0.707644 train-auc:0.94417
[207] eval-auc:0.707523 train-auc:0.944311
[208] eval-auc:0.707936 train-auc:0.944925
[209] eval-auc:0.707875 train-auc:0.945009
[210] eval-auc:0.707706 train-auc:0.94551
[211] eval-auc:0.707175 train-auc:0.945816
[212] eval-auc:0.707599 train-auc:0.946048
[213] eval-auc:0.707676 train-auc:0.947027
[214] eval-auc:0.707976 train-auc:0.947306
[215] eval-auc:0.708419 train-auc:0.947955
[216] eval-auc:0.708437 train-auc:0.948049
[217] eval-auc:0.708568 train-auc:0.948057
[218] eval-auc:0.70851 train-auc:0.948346
[219] eval-auc:0.708687 train-auc:0.948856
[220] eval-auc:0.708866 train-auc:0.948944
[221] eval-auc:0.709322 train-auc:0.949194
[222] eval-auc:0.709675 train-auc:0.949165
[223] eval-auc:0.709745 train-auc:0.949306
[224] eval-auc:0.709757 train-auc:0.950069
[225] eval-auc:0.709736 train-auc:0.950237
[226] eval-auc:0.709842 train-auc:0.950351
[227] eval-auc:0.709918 train-auc:0.95046
[228] eval-auc:0.709743 train-auc:0.950523
[229] eval-auc:0.709949 train-auc:0.950615
[230] eval-auc:0.709679 train-auc:0.950982
[231] eval-auc:0.709119 train-auc:0.951288
[232] eval-auc:0.708994 train-auc:0.951475
Score 0.7089942014155368
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9500000000000001, 'eta': 0.1, 'eval_metric': 'auc', 'gamma': 0.9500000000000001, 'max_depth': 4, 'min_child_weight': 2.0, 'n_estimators': 245.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.713565 train-auc:0.732886
[1] eval-auc:0.681944 train-auc:0.740359
[2] eval-auc:0.698011 train-auc:0.751474
[3] eval-auc:0.689193 train-auc:0.75412
[4] eval-auc:0.690651 train-auc:0.768126
[5] eval-auc:0.691535 train-auc:0.774444
[6] eval-auc:0.691107 train-auc:0.778227
[7] eval-auc:0.690512 train-auc:0.782298
[8] eval-auc:0.691174 train-auc:0.785141
[9] eval-auc:0.689569 train-auc:0.794246
[10] eval-auc:0.689917 train-auc:0.799649
[11] eval-auc:0.690519 train-auc:0.800513
[12] eval-auc:0.692055 train-auc:0.801894
[13] eval-auc:0.691256 train-auc:0.803721
[14] eval-auc:0.694453 train-auc:0.80808
[15] eval-auc:0.694317 train-auc:0.809584
[16] eval-auc:0.694597 train-auc:0.80928
[17] eval-auc:0.695931 train-auc:0.813127
[18] eval-auc:0.695974 train-auc:0.817502
[19] eval-auc:0.696309 train-auc:0.820427
[20] eval-auc:0.696691 train-auc:0.821463
[21] eval-auc:0.697186 train-auc:0.823734
[22] eval-auc:0.699174 train-auc:0.825456
[23] eval-auc:0.698332 train-auc:0.826924
[24] eval-auc:0.699859 train-auc:0.830252
[25] eval-auc:0.70133 train-auc:0.833995
[26] eval-auc:0.701168 train-auc:0.838274
[27] eval-auc:0.700901 train-auc:0.839336
[28] eval-auc:0.699288 train-auc:0.841456
[29] eval-auc:0.700533 train-auc:0.843178
[30] eval-auc:0.699939 train-auc:0.844272
[31] eval-auc:0.700143 train-auc:0.845594
[32] eval-auc:0.700309 train-auc:0.846786
[33] eval-auc:0.700283 train-auc:0.85091
[34] eval-auc:0.69978 train-auc:0.853243
[35] eval-auc:0.698987 train-auc:0.855718
[36] eval-auc:0.698524 train-auc:0.856153
[37] eval-auc:0.698968 train-auc:0.858185
[38] eval-auc:0.699038 train-auc:0.859494
[39] eval-auc:0.699283 train-auc:0.859989
[40] eval-auc:0.698445 train-auc:0.862315
[41] eval-auc:0.699329 train-auc:0.863269
[42] eval-auc:0.699013 train-auc:0.863561
[43] eval-auc:0.698891 train-auc:0.865606
[44] eval-auc:0.699037 train-auc:0.865805
[45] eval-auc:0.697828 train-auc:0.868227
[46] eval-auc:0.698053 train-auc:0.868677
[47] eval-auc:0.699024 train-auc:0.873709
[48] eval-auc:0.700619 train-auc:0.874344
[49] eval-auc:0.70054 train-auc:0.876885
[50] eval-auc:0.701145 train-auc:0.880546
[51] eval-auc:0.701248 train-auc:0.884073
[52] eval-auc:0.700707 train-auc:0.884048
[53] eval-auc:0.701073 train-auc:0.885435
[54] eval-auc:0.700595 train-auc:0.886205
[55] eval-auc:0.700404 train-auc:0.886444
[56] eval-auc:0.700455 train-auc:0.887946
[57] eval-auc:0.700363 train-auc:0.888993
[58] eval-auc:0.699773 train-auc:0.893214
[59] eval-auc:0.700061 train-auc:0.893733
[60] eval-auc:0.701055 train-auc:0.895251
[61] eval-auc:0.700911 train-auc:0.896271
[62] eval-auc:0.701346 train-auc:0.896846
[63] eval-auc:0.701628 train-auc:0.8985
[64] eval-auc:0.70194 train-auc:0.90169
[65] eval-auc:0.701521 train-auc:0.903239
[66] eval-auc:0.700375 train-auc:0.904887
[67] eval-auc:0.701395 train-auc:0.905888
[68] eval-auc:0.701387 train-auc:0.905831
[69] eval-auc:0.70184 train-auc:0.90699
[70] eval-auc:0.702144 train-auc:0.908271
[71] eval-auc:0.702325 train-auc:0.909231
[72] eval-auc:0.702788 train-auc:0.911314
[73] eval-auc:0.704431 train-auc:0.912732
[74] eval-auc:0.704902 train-auc:0.912754
[75] eval-auc:0.705783 train-auc:0.914591
[76] eval-auc:0.705905 train-auc:0.915457
[77] eval-auc:0.705182 train-auc:0.916191
[78] eval-auc:0.705237 train-auc:0.916622
[79] eval-auc:0.705564 train-auc:0.917117
[80] eval-auc:0.704757 train-auc:0.91837
[81] eval-auc:0.705449 train-auc:0.919077
[82] eval-auc:0.705512 train-auc:0.919896
[83] eval-auc:0.706248 train-auc:0.921154
[84] eval-auc:0.706882 train-auc:0.922351
[85] eval-auc:0.707552 train-auc:0.922622
[86] eval-auc:0.706888 train-auc:0.923114
[87] eval-auc:0.707301 train-auc:0.924151
[88] eval-auc:0.70749 train-auc:0.924522
[89] eval-auc:0.70823 train-auc:0.925311
[90] eval-auc:0.708755 train-auc:0.926017
[91] eval-auc:0.708519 train-auc:0.926124
[92] eval-auc:0.709456 train-auc:0.926719
[93] eval-auc:0.709596 train-auc:0.926778
[94] eval-auc:0.709995 train-auc:0.927256
[95] eval-auc:0.709611 train-auc:0.929316
[96] eval-auc:0.709459 train-auc:0.931161
[97] eval-auc:0.709215 train-auc:0.931919
[98] eval-auc:0.709407 train-auc:0.932517
[99] eval-auc:0.709054 train-auc:0.933532
[100] eval-auc:0.709211 train-auc:0.934693
[101] eval-auc:0.709212 train-auc:0.936086
[102] eval-auc:0.708621 train-auc:0.93663
[103] eval-auc:0.708382 train-auc:0.936835
[104] eval-auc:0.709134 train-auc:0.938181
[105] eval-auc:0.709016 train-auc:0.938401
[106] eval-auc:0.708956 train-auc:0.938784
[107] eval-auc:0.709389 train-auc:0.939389
[108] eval-auc:0.709422 train-auc:0.939691
[109] eval-auc:0.709491 train-auc:0.939907
[110] eval-auc:0.709644 train-auc:0.939958
[111] eval-auc:0.709733 train-auc:0.940753
[112] eval-auc:0.709891 train-auc:0.941094
[113] eval-auc:0.709657 train-auc:0.941755
[114] eval-auc:0.710106 train-auc:0.942338
[115] eval-auc:0.710059 train-auc:0.943286
[116] eval-auc:0.709981 train-auc:0.943436
[117] eval-auc:0.710186 train-auc:0.943774
[118] eval-auc:0.709954 train-auc:0.943857
[119] eval-auc:0.709961 train-auc:0.94447
[120] eval-auc:0.709766 train-auc:0.944497
[121] eval-auc:0.709577 train-auc:0.94485
[122] eval-auc:0.709917 train-auc:0.945034
[123] eval-auc:0.710356 train-auc:0.9453
[124] eval-auc:0.710068 train-auc:0.94566
[125] eval-auc:0.710086 train-auc:0.946126
[126] eval-auc:0.709264 train-auc:0.946386
[127] eval-auc:0.710226 train-auc:0.947351
[128] eval-auc:0.709756 train-auc:0.947439
[129] eval-auc:0.708642 train-auc:0.947911
[130] eval-auc:0.708656 train-auc:0.948088
[131] eval-auc:0.70907 train-auc:0.948205
[132] eval-auc:0.708582 train-auc:0.948433
[133] eval-auc:0.708894 train-auc:0.949588
[134] eval-auc:0.708815 train-auc:0.950041
[135] eval-auc:0.708507 train-auc:0.950105
[136] eval-auc:0.708248 train-auc:0.950185
[137] eval-auc:0.70891 train-auc:0.950591
[138] eval-auc:0.709031 train-auc:0.95085
[139] eval-auc:0.709539 train-auc:0.951321
[140] eval-auc:0.71022 train-auc:0.951983
[141] eval-auc:0.708804 train-auc:0.953231
[142] eval-auc:0.708247 train-auc:0.953658
[143] eval-auc:0.707523 train-auc:0.954478
[144] eval-auc:0.707799 train-auc:0.954817
[145] eval-auc:0.707768 train-auc:0.955204
[146] eval-auc:0.707619 train-auc:0.955578
[147] eval-auc:0.707648 train-auc:0.955768
[148] eval-auc:0.707691 train-auc:0.956023
[149] eval-auc:0.707814 train-auc:0.955999
[150] eval-auc:0.707165 train-auc:0.956041
[151] eval-auc:0.707522 train-auc:0.956325
[152] eval-auc:0.707647 train-auc:0.956776
[153] eval-auc:0.708157 train-auc:0.957649
[154] eval-auc:0.707703 train-auc:0.958406
[155] eval-auc:0.70764 train-auc:0.959056
[156] eval-auc:0.708895 train-auc:0.959879
[157] eval-auc:0.708559 train-auc:0.960369
[158] eval-auc:0.708405 train-auc:0.9607
[159] eval-auc:0.708699 train-auc:0.961044
[160] eval-auc:0.708653 train-auc:0.96114
[161] eval-auc:0.708726 train-auc:0.961071
[162] eval-auc:0.709076 train-auc:0.961164
[163] eval-auc:0.709588 train-auc:0.9624
[164] eval-auc:0.709326 train-auc:0.96248
[165] eval-auc:0.709276 train-auc:0.962791
[166] eval-auc:0.709486 train-auc:0.962876
[167] eval-auc:0.709375 train-auc:0.963072
[168] eval-auc:0.708706 train-auc:0.963487
[169] eval-auc:0.708534 train-auc:0.963812
[170] eval-auc:0.708152 train-auc:0.963961
[171] eval-auc:0.708606 train-auc:0.964369
[172] eval-auc:0.708476 train-auc:0.964425
[173] eval-auc:0.707533 train-auc:0.964579
[174] eval-auc:0.70812 train-auc:0.965079
[175] eval-auc:0.708108 train-auc:0.965122
[176] eval-auc:0.707621 train-auc:0.965438
[177] eval-auc:0.708052 train-auc:0.965638
[178] eval-auc:0.708327 train-auc:0.965967
[179] eval-auc:0.708591 train-auc:0.966406
[180] eval-auc:0.708805 train-auc:0.966857
[181] eval-auc:0.709238 train-auc:0.967341
[182] eval-auc:0.709373 train-auc:0.968045
[183] eval-auc:0.709596 train-auc:0.968091
[184] eval-auc:0.708687 train-auc:0.968192
[185] eval-auc:0.708598 train-auc:0.968325
[186] eval-auc:0.708323 train-auc:0.968815
[187] eval-auc:0.707508 train-auc:0.969229
[188] eval-auc:0.706795 train-auc:0.969384
[189] eval-auc:0.707051 train-auc:0.969464
[190] eval-auc:0.706797 train-auc:0.969817
[191] eval-auc:0.706686 train-auc:0.970098
[192] eval-auc:0.706491 train-auc:0.970102
[193] eval-auc:0.70727 train-auc:0.970648
[194] eval-auc:0.707613 train-auc:0.970913
[195] eval-auc:0.707811 train-auc:0.971385
[196] eval-auc:0.707877 train-auc:0.971584
[197] eval-auc:0.707805 train-auc:0.971725
[198] eval-auc:0.707637 train-auc:0.971972
[199] eval-auc:0.707785 train-auc:0.972027
[200] eval-auc:0.707223 train-auc:0.972141
[201] eval-auc:0.707199 train-auc:0.972265
[202] eval-auc:0.707091 train-auc:0.972246
[203] eval-auc:0.706751 train-auc:0.972659
[204] eval-auc:0.707117 train-auc:0.973023
[205] eval-auc:0.706572 train-auc:0.973469
[206] eval-auc:0.7066 train-auc:0.973552
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[208] eval-auc:0.706765 train-auc:0.973826
[209] eval-auc:0.707313 train-auc:0.974187
[210] eval-auc:0.706998 train-auc:0.97435
[211] eval-auc:0.706602 train-auc:0.974573
[212] eval-auc:0.706398 train-auc:0.974742
[213] eval-auc:0.70698 train-auc:0.975049
[214] eval-auc:0.706578 train-auc:0.975167
[215] eval-auc:0.706425 train-auc:0.975201
[216] eval-auc:0.705973 train-auc:0.975881
[217] eval-auc:0.70574 train-auc:0.975929
[218] eval-auc:0.706039 train-auc:0.976187
[219] eval-auc:0.705824 train-auc:0.976572
[220] eval-auc:0.705468 train-auc:0.977224
[221] eval-auc:0.705774 train-auc:0.977375
[222] eval-auc:0.705279 train-auc:0.977744
[223] eval-auc:0.705052 train-auc:0.97811
[224] eval-auc:0.704761 train-auc:0.9784
[225] eval-auc:0.704924 train-auc:0.978696
[226] eval-auc:0.704776 train-auc:0.978681
[227] eval-auc:0.70445 train-auc:0.978706
[228] eval-auc:0.704604 train-auc:0.97909
[229] eval-auc:0.705137 train-auc:0.979207
[230] eval-auc:0.70487 train-auc:0.979493
[231] eval-auc:0.704738 train-auc:0.980068
[232] eval-auc:0.704367 train-auc:0.980072
[233] eval-auc:0.704097 train-auc:0.980412
[234] eval-auc:0.703821 train-auc:0.980724
[235] eval-auc:0.704125 train-auc:0.980856
[236] eval-auc:0.704169 train-auc:0.98091
[237] eval-auc:0.704429 train-auc:0.981318
[238] eval-auc:0.704056 train-auc:0.981375
[239] eval-auc:0.704501 train-auc:0.981511
[240] eval-auc:0.704747 train-auc:0.981647
[241] eval-auc:0.704621 train-auc:0.982009
[242] eval-auc:0.704699 train-auc:0.982036
[243] eval-auc:0.704892 train-auc:0.982178
[244] eval-auc:0.704694 train-auc:0.982494
Score 0.7046939906686644
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 1.0, 'eta': 0.05, 'eval_metric': 'auc', 'gamma': 0.8500000000000001, 'max_depth': 4, 'min_child_weight': 2.0, 'n_estimators': 344.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.710015 train-auc:0.732367
[1] eval-auc:0.68996 train-auc:0.751056
[2] eval-auc:0.693721 train-auc:0.749215
[3] eval-auc:0.694631 train-auc:0.753049
[4] eval-auc:0.696479 train-auc:0.752308
[5] eval-auc:0.695864 train-auc:0.760023
[6] eval-auc:0.695775 train-auc:0.762326
[7] eval-auc:0.697436 train-auc:0.763155
[8] eval-auc:0.697214 train-auc:0.764354
[9] eval-auc:0.697658 train-auc:0.766201
[10] eval-auc:0.699543 train-auc:0.771108
[11] eval-auc:0.699172 train-auc:0.773756
[12] eval-auc:0.698197 train-auc:0.779444
[13] eval-auc:0.695787 train-auc:0.783393
[14] eval-auc:0.697884 train-auc:0.78402
[15] eval-auc:0.698186 train-auc:0.787103
[16] eval-auc:0.698104 train-auc:0.788356
[17] eval-auc:0.698689 train-auc:0.791407
[18] eval-auc:0.700908 train-auc:0.795857
[19] eval-auc:0.700622 train-auc:0.797388
[20] eval-auc:0.702734 train-auc:0.801964
[21] eval-auc:0.702135 train-auc:0.803773
[22] eval-auc:0.701106 train-auc:0.805172
[23] eval-auc:0.7008 train-auc:0.806739
[24] eval-auc:0.700282 train-auc:0.809925
[25] eval-auc:0.700663 train-auc:0.810935
[26] eval-auc:0.700065 train-auc:0.812091
[27] eval-auc:0.700244 train-auc:0.813199
[28] eval-auc:0.701696 train-auc:0.815988
[29] eval-auc:0.701704 train-auc:0.818618
[30] eval-auc:0.701065 train-auc:0.819614
[31] eval-auc:0.702063 train-auc:0.820512
[32] eval-auc:0.703001 train-auc:0.821841
[33] eval-auc:0.703219 train-auc:0.822446
[34] eval-auc:0.702489 train-auc:0.825209
[35] eval-auc:0.702509 train-auc:0.826249
[36] eval-auc:0.702118 train-auc:0.826682
[37] eval-auc:0.70176 train-auc:0.827592
[38] eval-auc:0.701952 train-auc:0.827755
[39] eval-auc:0.701598 train-auc:0.828808
[40] eval-auc:0.699705 train-auc:0.830884
[41] eval-auc:0.69962 train-auc:0.832454
[42] eval-auc:0.698809 train-auc:0.833577
[43] eval-auc:0.698262 train-auc:0.83401
[44] eval-auc:0.69799 train-auc:0.836754
[45] eval-auc:0.698068 train-auc:0.839302
[46] eval-auc:0.699689 train-auc:0.841247
[47] eval-auc:0.699521 train-auc:0.841932
[48] eval-auc:0.698883 train-auc:0.843056
[49] eval-auc:0.698576 train-auc:0.845026
[50] eval-auc:0.698843 train-auc:0.844926
[51] eval-auc:0.699306 train-auc:0.84481
[52] eval-auc:0.700196 train-auc:0.845441
[53] eval-auc:0.701491 train-auc:0.847395
[54] eval-auc:0.701704 train-auc:0.848099
[55] eval-auc:0.70229 train-auc:0.84851
[56] eval-auc:0.701283 train-auc:0.848693
[57] eval-auc:0.701189 train-auc:0.849683
[58] eval-auc:0.70029 train-auc:0.850401
[59] eval-auc:0.699179 train-auc:0.852335
[60] eval-auc:0.699259 train-auc:0.852519
[61] eval-auc:0.69966 train-auc:0.853713
[62] eval-auc:0.699701 train-auc:0.854335
[63] eval-auc:0.699645 train-auc:0.854839
[64] eval-auc:0.699364 train-auc:0.854876
[65] eval-auc:0.699903 train-auc:0.855265
[66] eval-auc:0.701422 train-auc:0.858619
[67] eval-auc:0.701612 train-auc:0.859939
[68] eval-auc:0.701527 train-auc:0.859846
[69] eval-auc:0.700899 train-auc:0.860439
[70] eval-auc:0.701352 train-auc:0.861873
[71] eval-auc:0.701425 train-auc:0.863645
[72] eval-auc:0.701677 train-auc:0.864115
[73] eval-auc:0.701627 train-auc:0.864495
[74] eval-auc:0.702609 train-auc:0.866417
[75] eval-auc:0.702743 train-auc:0.866817
[76] eval-auc:0.70288 train-auc:0.867153
[77] eval-auc:0.703183 train-auc:0.86753
[78] eval-auc:0.703736 train-auc:0.869029
[79] eval-auc:0.704271 train-auc:0.870207
[80] eval-auc:0.704508 train-auc:0.872347
[81] eval-auc:0.704125 train-auc:0.872415
[82] eval-auc:0.703939 train-auc:0.872765
[83] eval-auc:0.703794 train-auc:0.873885
[84] eval-auc:0.703834 train-auc:0.874004
[85] eval-auc:0.703691 train-auc:0.874412
[86] eval-auc:0.704016 train-auc:0.875146
[87] eval-auc:0.704341 train-auc:0.875338
[88] eval-auc:0.704618 train-auc:0.876073
[89] eval-auc:0.703208 train-auc:0.876648
[90] eval-auc:0.703491 train-auc:0.877478
[91] eval-auc:0.702721 train-auc:0.878332
[92] eval-auc:0.702759 train-auc:0.878847
[93] eval-auc:0.702667 train-auc:0.879318
[94] eval-auc:0.703421 train-auc:0.881635
[95] eval-auc:0.703122 train-auc:0.881558
[96] eval-auc:0.704149 train-auc:0.883341
[97] eval-auc:0.70398 train-auc:0.884197
[98] eval-auc:0.704386 train-auc:0.884986
[99] eval-auc:0.704464 train-auc:0.885392
[100] eval-auc:0.704315 train-auc:0.885849
[101] eval-auc:0.704386 train-auc:0.887606
[102] eval-auc:0.704202 train-auc:0.887906
[103] eval-auc:0.70467 train-auc:0.889017
[104] eval-auc:0.704563 train-auc:0.889447
[105] eval-auc:0.704298 train-auc:0.890011
[106] eval-auc:0.704286 train-auc:0.889956
[107] eval-auc:0.704597 train-auc:0.890956
[108] eval-auc:0.703861 train-auc:0.892386
[109] eval-auc:0.70442 train-auc:0.893513
[110] eval-auc:0.70495 train-auc:0.893679
[111] eval-auc:0.705093 train-auc:0.894508
[112] eval-auc:0.705257 train-auc:0.89546
[113] eval-auc:0.704208 train-auc:0.896601
[114] eval-auc:0.70433 train-auc:0.897232
[115] eval-auc:0.704793 train-auc:0.89866
[116] eval-auc:0.704348 train-auc:0.899576
[117] eval-auc:0.704951 train-auc:0.899982
[118] eval-auc:0.705079 train-auc:0.900177
[119] eval-auc:0.704593 train-auc:0.901151
[120] eval-auc:0.704682 train-auc:0.901889
[121] eval-auc:0.705015 train-auc:0.903994
[122] eval-auc:0.705305 train-auc:0.905028
[123] eval-auc:0.706284 train-auc:0.905767
[124] eval-auc:0.706198 train-auc:0.906917
[125] eval-auc:0.705911 train-auc:0.907309
[126] eval-auc:0.706559 train-auc:0.908196
[127] eval-auc:0.706506 train-auc:0.908474
[128] eval-auc:0.706444 train-auc:0.908903
[129] eval-auc:0.706756 train-auc:0.90983
[130] eval-auc:0.706704 train-auc:0.910324
[131] eval-auc:0.707027 train-auc:0.911053
[132] eval-auc:0.707625 train-auc:0.911526
[133] eval-auc:0.706836 train-auc:0.91157
[134] eval-auc:0.70706 train-auc:0.912284
[135] eval-auc:0.707028 train-auc:0.912727
[136] eval-auc:0.706763 train-auc:0.913073
[137] eval-auc:0.706967 train-auc:0.914272
[138] eval-auc:0.707529 train-auc:0.91488
[139] eval-auc:0.708103 train-auc:0.915813
[140] eval-auc:0.708417 train-auc:0.916025
[141] eval-auc:0.708968 train-auc:0.91682
[142] eval-auc:0.708568 train-auc:0.917872
[143] eval-auc:0.708583 train-auc:0.918889
[144] eval-auc:0.708693 train-auc:0.919892
[145] eval-auc:0.708306 train-auc:0.920849
[146] eval-auc:0.708247 train-auc:0.921173
[147] eval-auc:0.708105 train-auc:0.922072
[148] eval-auc:0.708128 train-auc:0.922357
[149] eval-auc:0.708129 train-auc:0.922834
[150] eval-auc:0.707855 train-auc:0.923011
[151] eval-auc:0.708141 train-auc:0.923489
[152] eval-auc:0.70814 train-auc:0.92341
[153] eval-auc:0.708465 train-auc:0.923863
[154] eval-auc:0.708149 train-auc:0.924271
[155] eval-auc:0.708243 train-auc:0.924926
[156] eval-auc:0.708985 train-auc:0.925537
[157] eval-auc:0.709902 train-auc:0.926087
[158] eval-auc:0.709762 train-auc:0.926612
[159] eval-auc:0.709556 train-auc:0.927025
[160] eval-auc:0.709454 train-auc:0.927146
[161] eval-auc:0.709192 train-auc:0.927859
[162] eval-auc:0.709309 train-auc:0.928095
[163] eval-auc:0.709369 train-auc:0.929082
[164] eval-auc:0.709443 train-auc:0.92962
[165] eval-auc:0.708909 train-auc:0.930184
[166] eval-auc:0.709113 train-auc:0.930422
[167] eval-auc:0.708691 train-auc:0.930945
[168] eval-auc:0.708728 train-auc:0.931545
[169] eval-auc:0.708892 train-auc:0.931756
[170] eval-auc:0.708559 train-auc:0.931944
[171] eval-auc:0.708257 train-auc:0.932031
[172] eval-auc:0.708163 train-auc:0.93214
[173] eval-auc:0.70759 train-auc:0.932745
[174] eval-auc:0.707315 train-auc:0.93276
[175] eval-auc:0.707211 train-auc:0.933208
[176] eval-auc:0.707242 train-auc:0.933944
[177] eval-auc:0.707548 train-auc:0.934089
[178] eval-auc:0.707278 train-auc:0.934387
[179] eval-auc:0.707374 train-auc:0.934694
[180] eval-auc:0.707318 train-auc:0.934677
[181] eval-auc:0.707555 train-auc:0.934945
[182] eval-auc:0.707129 train-auc:0.935458
[183] eval-auc:0.707333 train-auc:0.935616
[184] eval-auc:0.707009 train-auc:0.935957
[185] eval-auc:0.707092 train-auc:0.936012
[186] eval-auc:0.706922 train-auc:0.936079
[187] eval-auc:0.706979 train-auc:0.936582
[188] eval-auc:0.706877 train-auc:0.936984
[189] eval-auc:0.706718 train-auc:0.937572
[190] eval-auc:0.706872 train-auc:0.937874
[191] eval-auc:0.706792 train-auc:0.938368
[192] eval-auc:0.707275 train-auc:0.939029
[193] eval-auc:0.707458 train-auc:0.939247
[194] eval-auc:0.707621 train-auc:0.939999
[195] eval-auc:0.707528 train-auc:0.940052
[196] eval-auc:0.70773 train-auc:0.940549
[197] eval-auc:0.708144 train-auc:0.941046
[198] eval-auc:0.70828 train-auc:0.941835
[199] eval-auc:0.708481 train-auc:0.941966
[200] eval-auc:0.708066 train-auc:0.942776
[201] eval-auc:0.708381 train-auc:0.942946
[202] eval-auc:0.708003 train-auc:0.943316
[203] eval-auc:0.708017 train-auc:0.943645
[204] eval-auc:0.708245 train-auc:0.943809
[205] eval-auc:0.707849 train-auc:0.943792
[206] eval-auc:0.707644 train-auc:0.94417
[207] eval-auc:0.707523 train-auc:0.944311
[208] eval-auc:0.707936 train-auc:0.944925
[209] eval-auc:0.707875 train-auc:0.945009
[210] eval-auc:0.707706 train-auc:0.94551
[211] eval-auc:0.707175 train-auc:0.945816
[212] eval-auc:0.707599 train-auc:0.946048
[213] eval-auc:0.707676 train-auc:0.947027
[214] eval-auc:0.707976 train-auc:0.947306
[215] eval-auc:0.708419 train-auc:0.947955
[216] eval-auc:0.708437 train-auc:0.948049
[217] eval-auc:0.708568 train-auc:0.948057
[218] eval-auc:0.70851 train-auc:0.948346
[219] eval-auc:0.708687 train-auc:0.948856
[220] eval-auc:0.708866 train-auc:0.948944
[221] eval-auc:0.709322 train-auc:0.949194
[222] eval-auc:0.709675 train-auc:0.949165
[223] eval-auc:0.709745 train-auc:0.949306
[224] eval-auc:0.709757 train-auc:0.950069
[225] eval-auc:0.709736 train-auc:0.950237
[226] eval-auc:0.709842 train-auc:0.950351
[227] eval-auc:0.709918 train-auc:0.95046
[228] eval-auc:0.709743 train-auc:0.950523
[229] eval-auc:0.709949 train-auc:0.950615
[230] eval-auc:0.709679 train-auc:0.950982
[231] eval-auc:0.709119 train-auc:0.951288
[232] eval-auc:0.708994 train-auc:0.951475
[233] eval-auc:0.709181 train-auc:0.951848
[234] eval-auc:0.709157 train-auc:0.952067
[235] eval-auc:0.709579 train-auc:0.952849
[236] eval-auc:0.70983 train-auc:0.953035
[237] eval-auc:0.709915 train-auc:0.95322
[238] eval-auc:0.709626 train-auc:0.953633
[239] eval-auc:0.709139 train-auc:0.954004
[240] eval-auc:0.708938 train-auc:0.954218
[241] eval-auc:0.708572 train-auc:0.954485
[242] eval-auc:0.708317 train-auc:0.954828
[243] eval-auc:0.708394 train-auc:0.9547
[244] eval-auc:0.707998 train-auc:0.954808
[245] eval-auc:0.707572 train-auc:0.955033
[246] eval-auc:0.707823 train-auc:0.955438
[247] eval-auc:0.70772 train-auc:0.955726
[248] eval-auc:0.707707 train-auc:0.955728
[249] eval-auc:0.707618 train-auc:0.955806
[250] eval-auc:0.707444 train-auc:0.955863
[251] eval-auc:0.707647 train-auc:0.955893
[252] eval-auc:0.707995 train-auc:0.956157
[253] eval-auc:0.708036 train-auc:0.956503
[254] eval-auc:0.708161 train-auc:0.956568
[255] eval-auc:0.707977 train-auc:0.956764
[256] eval-auc:0.707755 train-auc:0.956969
[257] eval-auc:0.708043 train-auc:0.956934
[258] eval-auc:0.708101 train-auc:0.957311
[259] eval-auc:0.707845 train-auc:0.957813
[260] eval-auc:0.707842 train-auc:0.957823
[261] eval-auc:0.707642 train-auc:0.957898
[262] eval-auc:0.707462 train-auc:0.957996
[263] eval-auc:0.707484 train-auc:0.958012
[264] eval-auc:0.707746 train-auc:0.958087
[265] eval-auc:0.707866 train-auc:0.95819
[266] eval-auc:0.707711 train-auc:0.958656
[267] eval-auc:0.707293 train-auc:0.958752
[268] eval-auc:0.707478 train-auc:0.959149
[269] eval-auc:0.707785 train-auc:0.959277
[270] eval-auc:0.707435 train-auc:0.959605
[271] eval-auc:0.707732 train-auc:0.959966
[272] eval-auc:0.707814 train-auc:0.960293
[273] eval-auc:0.707872 train-auc:0.960504
[274] eval-auc:0.70779 train-auc:0.96085
[275] eval-auc:0.707689 train-auc:0.961298
[276] eval-auc:0.707797 train-auc:0.961755
[277] eval-auc:0.707992 train-auc:0.962
[278] eval-auc:0.707831 train-auc:0.961983
[279] eval-auc:0.70801 train-auc:0.962209
[280] eval-auc:0.708169 train-auc:0.962503
[281] eval-auc:0.708448 train-auc:0.962719
[282] eval-auc:0.708731 train-auc:0.96284
[283] eval-auc:0.708769 train-auc:0.962946
[284] eval-auc:0.709076 train-auc:0.963281
[285] eval-auc:0.709287 train-auc:0.963354
[286] eval-auc:0.709262 train-auc:0.963246
[287] eval-auc:0.709153 train-auc:0.963484
[288] eval-auc:0.709128 train-auc:0.963504
[289] eval-auc:0.708871 train-auc:0.96392
[290] eval-auc:0.708907 train-auc:0.964039
[291] eval-auc:0.708856 train-auc:0.964181
[292] eval-auc:0.708673 train-auc:0.964267
[293] eval-auc:0.70872 train-auc:0.964269
[294] eval-auc:0.708912 train-auc:0.964557
[295] eval-auc:0.708941 train-auc:0.964768
[296] eval-auc:0.708863 train-auc:0.964908
[297] eval-auc:0.708862 train-auc:0.964922
[298] eval-auc:0.708816 train-auc:0.96495
[299] eval-auc:0.7089 train-auc:0.965257
[300] eval-auc:0.708901 train-auc:0.965312
[301] eval-auc:0.708632 train-auc:0.96564
[302] eval-auc:0.708888 train-auc:0.965877
[303] eval-auc:0.70885 train-auc:0.966096
[304] eval-auc:0.708726 train-auc:0.966402
[305] eval-auc:0.708656 train-auc:0.966567
[306] eval-auc:0.708534 train-auc:0.96688
[307] eval-auc:0.708295 train-auc:0.966895
[308] eval-auc:0.708109 train-auc:0.96718
[309] eval-auc:0.708167 train-auc:0.967461
[310] eval-auc:0.708531 train-auc:0.967955
[311] eval-auc:0.708627 train-auc:0.968107
[312] eval-auc:0.708566 train-auc:0.968183
[313] eval-auc:0.708399 train-auc:0.968506
[314] eval-auc:0.708199 train-auc:0.968483
[315] eval-auc:0.708431 train-auc:0.96854
[316] eval-auc:0.708423 train-auc:0.968486
[317] eval-auc:0.708639 train-auc:0.968604
[318] eval-auc:0.708543 train-auc:0.968855
[319] eval-auc:0.70881 train-auc:0.968988
[320] eval-auc:0.708406 train-auc:0.969137
[321] eval-auc:0.708198 train-auc:0.969166
[322] eval-auc:0.70837 train-auc:0.969387
[323] eval-auc:0.708222 train-auc:0.969598
[324] eval-auc:0.708044 train-auc:0.969797
[325] eval-auc:0.708144 train-auc:0.970065
[326] eval-auc:0.70812 train-auc:0.970121
[327] eval-auc:0.708173 train-auc:0.970355
[328] eval-auc:0.708193 train-auc:0.970399
[329] eval-auc:0.707797 train-auc:0.970789
[330] eval-auc:0.707671 train-auc:0.970803
[331] eval-auc:0.707639 train-auc:0.970953
[332] eval-auc:0.707453 train-auc:0.971082
[333] eval-auc:0.707793 train-auc:0.971354
[334] eval-auc:0.707998 train-auc:0.971502
[335] eval-auc:0.708212 train-auc:0.971613
[336] eval-auc:0.707774 train-auc:0.971767
[337] eval-auc:0.707408 train-auc:0.972227
[338] eval-auc:0.707047 train-auc:0.972355
[339] eval-auc:0.706916 train-auc:0.972386
[340] eval-auc:0.706427 train-auc:0.972482
[341] eval-auc:0.706402 train-auc:0.97269
[342] eval-auc:0.706173 train-auc:0.972804
[343] eval-auc:0.70646 train-auc:0.972927
Score 0.706460366187918
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9, 'eta': 0.07500000000000001, 'eval_metric': 'auc', 'gamma': 0.75, 'max_depth': 4, 'min_child_weight': 1.0, 'n_estimators': 105.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.723338 train-auc:0.727247
[1] eval-auc:0.711054 train-auc:0.744384
[2] eval-auc:0.712362 train-auc:0.75754
[3] eval-auc:0.70445 train-auc:0.760401
[4] eval-auc:0.703737 train-auc:0.760393
[5] eval-auc:0.69325 train-auc:0.774938
[6] eval-auc:0.694741 train-auc:0.77294
[7] eval-auc:0.694253 train-auc:0.775532
[8] eval-auc:0.692488 train-auc:0.778876
[9] eval-auc:0.698355 train-auc:0.778511
[10] eval-auc:0.69897 train-auc:0.783932
[11] eval-auc:0.697826 train-auc:0.789078
[12] eval-auc:0.698726 train-auc:0.791754
[13] eval-auc:0.700426 train-auc:0.793827
[14] eval-auc:0.700072 train-auc:0.7911
[15] eval-auc:0.699275 train-auc:0.793779
[16] eval-auc:0.698404 train-auc:0.79783
[17] eval-auc:0.699629 train-auc:0.801158
[18] eval-auc:0.697281 train-auc:0.8017
[19] eval-auc:0.696844 train-auc:0.806951
[20] eval-auc:0.699328 train-auc:0.807964
[21] eval-auc:0.700041 train-auc:0.81019
[22] eval-auc:0.700185 train-auc:0.811873
[23] eval-auc:0.70161 train-auc:0.815772
[24] eval-auc:0.701266 train-auc:0.819356
[25] eval-auc:0.70125 train-auc:0.82242
[26] eval-auc:0.702006 train-auc:0.824132
[27] eval-auc:0.70192 train-auc:0.827815
[28] eval-auc:0.7013 train-auc:0.829548
[29] eval-auc:0.701075 train-auc:0.831163
[30] eval-auc:0.699558 train-auc:0.832353
[31] eval-auc:0.699875 train-auc:0.833347
[32] eval-auc:0.700738 train-auc:0.834947
[33] eval-auc:0.700108 train-auc:0.834828
[34] eval-auc:0.698899 train-auc:0.837122
[35] eval-auc:0.697648 train-auc:0.839916
[36] eval-auc:0.698753 train-auc:0.841976
[37] eval-auc:0.699268 train-auc:0.844915
[38] eval-auc:0.699449 train-auc:0.845563
[39] eval-auc:0.699625 train-auc:0.847926
[40] eval-auc:0.699352 train-auc:0.848473
[41] eval-auc:0.701356 train-auc:0.849749
[42] eval-auc:0.701749 train-auc:0.850441
[43] eval-auc:0.700225 train-auc:0.853606
[44] eval-auc:0.699897 train-auc:0.856428
[45] eval-auc:0.699915 train-auc:0.857687
[46] eval-auc:0.697775 train-auc:0.859437
[47] eval-auc:0.697328 train-auc:0.859091
[48] eval-auc:0.698064 train-auc:0.860939
[49] eval-auc:0.697707 train-auc:0.861682
[50] eval-auc:0.696424 train-auc:0.863636
[51] eval-auc:0.697013 train-auc:0.864726
[52] eval-auc:0.698188 train-auc:0.866422
[53] eval-auc:0.69873 train-auc:0.868569
[54] eval-auc:0.699341 train-auc:0.870048
[55] eval-auc:0.699503 train-auc:0.870217
[56] eval-auc:0.699476 train-auc:0.869674
[57] eval-auc:0.699144 train-auc:0.869956
[58] eval-auc:0.698452 train-auc:0.870922
[59] eval-auc:0.699616 train-auc:0.872536
[60] eval-auc:0.699715 train-auc:0.874832
[61] eval-auc:0.698921 train-auc:0.877066
[62] eval-auc:0.699092 train-auc:0.877357
[63] eval-auc:0.700298 train-auc:0.8785
[64] eval-auc:0.700333 train-auc:0.878792
[65] eval-auc:0.700266 train-auc:0.879153
[66] eval-auc:0.701556 train-auc:0.882161
[67] eval-auc:0.701533 train-auc:0.882398
[68] eval-auc:0.701239 train-auc:0.882874
[69] eval-auc:0.702122 train-auc:0.884928
[70] eval-auc:0.702914 train-auc:0.887246
[71] eval-auc:0.702893 train-auc:0.887524
[72] eval-auc:0.702102 train-auc:0.889718
[73] eval-auc:0.701863 train-auc:0.892229
[74] eval-auc:0.702402 train-auc:0.893311
[75] eval-auc:0.70274 train-auc:0.893583
[76] eval-auc:0.70236 train-auc:0.894378
[77] eval-auc:0.702634 train-auc:0.894755
[78] eval-auc:0.704485 train-auc:0.895757
[79] eval-auc:0.704335 train-auc:0.896984
[80] eval-auc:0.703663 train-auc:0.898768
[81] eval-auc:0.703744 train-auc:0.898975
[82] eval-auc:0.702996 train-auc:0.900272
[83] eval-auc:0.703856 train-auc:0.901529
[84] eval-auc:0.703762 train-auc:0.902456
[85] eval-auc:0.704648 train-auc:0.903884
[86] eval-auc:0.704796 train-auc:0.904273
[87] eval-auc:0.704165 train-auc:0.905629
[88] eval-auc:0.703343 train-auc:0.906139
[89] eval-auc:0.703189 train-auc:0.906476
[90] eval-auc:0.703209 train-auc:0.906586
[91] eval-auc:0.703829 train-auc:0.906934
[92] eval-auc:0.703228 train-auc:0.907948
[93] eval-auc:0.703142 train-auc:0.908029
[94] eval-auc:0.70419 train-auc:0.909748
[95] eval-auc:0.704158 train-auc:0.909824
[96] eval-auc:0.704394 train-auc:0.910484
[97] eval-auc:0.704819 train-auc:0.910847
[98] eval-auc:0.704968 train-auc:0.912325
[99] eval-auc:0.704839 train-auc:0.912376
[100] eval-auc:0.704927 train-auc:0.912881
[101] eval-auc:0.705662 train-auc:0.913377
[102] eval-auc:0.705489 train-auc:0.914448
[103] eval-auc:0.706731 train-auc:0.914959
[104] eval-auc:0.707414 train-auc:0.916121
Score 0.7074135998733082
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 1.0, 'eta': 0.025, 'eval_metric': 'auc', 'gamma': 0.8, 'max_depth': 4, 'min_child_weight': 1.0, 'n_estimators': 213.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9, 'tree_method': 'exact'}
[0] eval-auc:0.713443 train-auc:0.731293
[1] eval-auc:0.692305 train-auc:0.752705
[2] eval-auc:0.695472 train-auc:0.752764
[3] eval-auc:0.696944 train-auc:0.755209
[4] eval-auc:0.695502 train-auc:0.756721
[5] eval-auc:0.691017 train-auc:0.758077
[6] eval-auc:0.692817 train-auc:0.758636
[7] eval-auc:0.692422 train-auc:0.758607
[8] eval-auc:0.695618 train-auc:0.76508
[9] eval-auc:0.695924 train-auc:0.766984
[10] eval-auc:0.696572 train-auc:0.768436
[11] eval-auc:0.697198 train-auc:0.769394
[12] eval-auc:0.696378 train-auc:0.771612
[13] eval-auc:0.699219 train-auc:0.775024
[14] eval-auc:0.698254 train-auc:0.773872
[15] eval-auc:0.699811 train-auc:0.775714
[16] eval-auc:0.700041 train-auc:0.776092
[17] eval-auc:0.699507 train-auc:0.779429
[18] eval-auc:0.700589 train-auc:0.78038
[19] eval-auc:0.699221 train-auc:0.781136
[20] eval-auc:0.702714 train-auc:0.784109
[21] eval-auc:0.702447 train-auc:0.786055
[22] eval-auc:0.703954 train-auc:0.789133
[23] eval-auc:0.702915 train-auc:0.791455
[24] eval-auc:0.701684 train-auc:0.793772
[25] eval-auc:0.701268 train-auc:0.794444
[26] eval-auc:0.699904 train-auc:0.795028
[27] eval-auc:0.700315 train-auc:0.796649
[28] eval-auc:0.700181 train-auc:0.795452
[29] eval-auc:0.70061 train-auc:0.796173
[30] eval-auc:0.699949 train-auc:0.797316
[31] eval-auc:0.700402 train-auc:0.798647
[32] eval-auc:0.701071 train-auc:0.799929
[33] eval-auc:0.700468 train-auc:0.801715
[34] eval-auc:0.699884 train-auc:0.80264
[35] eval-auc:0.699747 train-auc:0.802545
[36] eval-auc:0.699485 train-auc:0.803231
[37] eval-auc:0.699487 train-auc:0.803926
[38] eval-auc:0.69949 train-auc:0.805205
[39] eval-auc:0.699808 train-auc:0.806507
[40] eval-auc:0.700521 train-auc:0.806457
[41] eval-auc:0.700383 train-auc:0.806645
[42] eval-auc:0.700604 train-auc:0.807746
[43] eval-auc:0.701315 train-auc:0.807935
[44] eval-auc:0.701797 train-auc:0.807798
[45] eval-auc:0.701212 train-auc:0.808751
[46] eval-auc:0.702312 train-auc:0.810022
[47] eval-auc:0.703464 train-auc:0.8103
[48] eval-auc:0.703471 train-auc:0.811305
[49] eval-auc:0.702887 train-auc:0.81153
[50] eval-auc:0.703956 train-auc:0.810752
[51] eval-auc:0.704573 train-auc:0.811314
[52] eval-auc:0.70483 train-auc:0.811852
[53] eval-auc:0.704943 train-auc:0.812176
[54] eval-auc:0.704718 train-auc:0.813295
[55] eval-auc:0.705256 train-auc:0.813474
[56] eval-auc:0.704319 train-auc:0.813948
[57] eval-auc:0.704759 train-auc:0.814571
[58] eval-auc:0.704842 train-auc:0.815617
[59] eval-auc:0.704681 train-auc:0.816659
[60] eval-auc:0.704721 train-auc:0.816948
[61] eval-auc:0.705423 train-auc:0.817479
[62] eval-auc:0.705091 train-auc:0.818109
[63] eval-auc:0.705597 train-auc:0.818708
[64] eval-auc:0.705306 train-auc:0.819064
[65] eval-auc:0.705378 train-auc:0.819024
[66] eval-auc:0.705581 train-auc:0.820048
[67] eval-auc:0.705962 train-auc:0.820239
[68] eval-auc:0.704933 train-auc:0.821974
[69] eval-auc:0.704701 train-auc:0.822854
[70] eval-auc:0.704652 train-auc:0.824357
[71] eval-auc:0.70486 train-auc:0.82493
[72] eval-auc:0.705091 train-auc:0.825428
[73] eval-auc:0.705469 train-auc:0.825584
[74] eval-auc:0.705522 train-auc:0.825977
[75] eval-auc:0.706179 train-auc:0.826518
[76] eval-auc:0.706826 train-auc:0.827401
[77] eval-auc:0.705687 train-auc:0.827976
[78] eval-auc:0.706106 train-auc:0.830024
[79] eval-auc:0.706806 train-auc:0.831178
[80] eval-auc:0.706875 train-auc:0.831882
[81] eval-auc:0.705836 train-auc:0.833158
[82] eval-auc:0.705658 train-auc:0.83382
[83] eval-auc:0.706186 train-auc:0.833757
[84] eval-auc:0.70654 train-auc:0.835826
[85] eval-auc:0.706272 train-auc:0.836442
[86] eval-auc:0.706523 train-auc:0.836359
[87] eval-auc:0.706832 train-auc:0.837776
[88] eval-auc:0.705763 train-auc:0.838885
[89] eval-auc:0.706427 train-auc:0.840175
[90] eval-auc:0.706518 train-auc:0.840446
[91] eval-auc:0.706835 train-auc:0.841076
[92] eval-auc:0.707248 train-auc:0.8422
[93] eval-auc:0.705807 train-auc:0.842753
[94] eval-auc:0.705583 train-auc:0.843584
[95] eval-auc:0.705927 train-auc:0.843934
[96] eval-auc:0.706371 train-auc:0.844572
[97] eval-auc:0.706425 train-auc:0.845325
[98] eval-auc:0.705441 train-auc:0.846443
[99] eval-auc:0.705132 train-auc:0.847439
[100] eval-auc:0.704973 train-auc:0.847498
[101] eval-auc:0.705193 train-auc:0.848372
[102] eval-auc:0.705114 train-auc:0.848627
[103] eval-auc:0.70499 train-auc:0.848657
[104] eval-auc:0.704944 train-auc:0.849247
[105] eval-auc:0.704756 train-auc:0.850366
[106] eval-auc:0.704585 train-auc:0.85022
[107] eval-auc:0.705293 train-auc:0.850562
[108] eval-auc:0.705201 train-auc:0.850911
[109] eval-auc:0.705011 train-auc:0.850941
[110] eval-auc:0.705084 train-auc:0.851115
[111] eval-auc:0.705288 train-auc:0.851989
[112] eval-auc:0.705091 train-auc:0.852581
[113] eval-auc:0.705899 train-auc:0.853563
[114] eval-auc:0.706039 train-auc:0.853803
[115] eval-auc:0.705591 train-auc:0.854144
[116] eval-auc:0.70556 train-auc:0.854506
[117] eval-auc:0.705684 train-auc:0.85477
[118] eval-auc:0.706049 train-auc:0.854832
[119] eval-auc:0.705774 train-auc:0.855934
[120] eval-auc:0.70614 train-auc:0.856162
[121] eval-auc:0.706147 train-auc:0.85637
[122] eval-auc:0.706211 train-auc:0.857463
[123] eval-auc:0.705906 train-auc:0.858206
[124] eval-auc:0.705306 train-auc:0.859076
[125] eval-auc:0.705731 train-auc:0.859527
[126] eval-auc:0.706128 train-auc:0.860784
[127] eval-auc:0.706124 train-auc:0.861027
[128] eval-auc:0.705766 train-auc:0.861905
[129] eval-auc:0.705171 train-auc:0.861916
[130] eval-auc:0.705134 train-auc:0.863156
[131] eval-auc:0.705037 train-auc:0.863469
[132] eval-auc:0.704731 train-auc:0.864282
[133] eval-auc:0.704988 train-auc:0.865264
[134] eval-auc:0.705158 train-auc:0.866014
[135] eval-auc:0.705299 train-auc:0.86639
[136] eval-auc:0.704741 train-auc:0.866741
[137] eval-auc:0.704881 train-auc:0.867156
[138] eval-auc:0.704691 train-auc:0.868034
[139] eval-auc:0.704871 train-auc:0.868604
[140] eval-auc:0.704726 train-auc:0.869203
[141] eval-auc:0.70534 train-auc:0.870021
[142] eval-auc:0.705352 train-auc:0.870785
[143] eval-auc:0.70528 train-auc:0.870912
[144] eval-auc:0.705423 train-auc:0.871477
[145] eval-auc:0.70556 train-auc:0.872632
[146] eval-auc:0.70549 train-auc:0.872806
[147] eval-auc:0.705484 train-auc:0.873205
[148] eval-auc:0.705425 train-auc:0.87358
[149] eval-auc:0.705862 train-auc:0.87447
[150] eval-auc:0.705568 train-auc:0.874858
[151] eval-auc:0.705548 train-auc:0.876048
[152] eval-auc:0.705567 train-auc:0.876205
[153] eval-auc:0.705168 train-auc:0.876764
[154] eval-auc:0.7053 train-auc:0.876896
[155] eval-auc:0.705305 train-auc:0.877757
[156] eval-auc:0.7056 train-auc:0.878531
[157] eval-auc:0.705088 train-auc:0.879317
[158] eval-auc:0.705027 train-auc:0.879444
[159] eval-auc:0.704629 train-auc:0.879779
[160] eval-auc:0.703984 train-auc:0.880509
[161] eval-auc:0.704016 train-auc:0.88098
[162] eval-auc:0.703695 train-auc:0.881492
[163] eval-auc:0.703199 train-auc:0.882081
[164] eval-auc:0.703247 train-auc:0.882418
[165] eval-auc:0.703479 train-auc:0.882672
[166] eval-auc:0.703756 train-auc:0.882753
[167] eval-auc:0.703546 train-auc:0.882843
[168] eval-auc:0.703285 train-auc:0.883086
[169] eval-auc:0.70355 train-auc:0.883464
[170] eval-auc:0.703657 train-auc:0.884574
[171] eval-auc:0.703821 train-auc:0.884774
[172] eval-auc:0.704117 train-auc:0.885197
[173] eval-auc:0.704103 train-auc:0.885302
[174] eval-auc:0.704339 train-auc:0.886186
[175] eval-auc:0.704523 train-auc:0.886511
[176] eval-auc:0.704631 train-auc:0.886249
[177] eval-auc:0.704973 train-auc:0.886796
[178] eval-auc:0.705018 train-auc:0.886924
[179] eval-auc:0.704776 train-auc:0.887269
[180] eval-auc:0.704688 train-auc:0.887444
[181] eval-auc:0.704629 train-auc:0.887799
[182] eval-auc:0.704574 train-auc:0.888085
[183] eval-auc:0.70414 train-auc:0.888547
[184] eval-auc:0.704274 train-auc:0.888682
[185] eval-auc:0.704185 train-auc:0.889629
[186] eval-auc:0.704528 train-auc:0.890475
[187] eval-auc:0.704414 train-auc:0.891155
[188] eval-auc:0.704175 train-auc:0.8915
[189] eval-auc:0.704272 train-auc:0.891545
[190] eval-auc:0.704367 train-auc:0.892139
[191] eval-auc:0.704619 train-auc:0.892467
[192] eval-auc:0.704686 train-auc:0.8929
[193] eval-auc:0.704753 train-auc:0.893333
[194] eval-auc:0.704756 train-auc:0.894174
[195] eval-auc:0.704539 train-auc:0.894363
[196] eval-auc:0.704443 train-auc:0.894432
[197] eval-auc:0.704461 train-auc:0.894835
[198] eval-auc:0.704192 train-auc:0.895283
[199] eval-auc:0.703965 train-auc:0.895727
[200] eval-auc:0.704246 train-auc:0.89609
[201] eval-auc:0.704505 train-auc:0.896471
[202] eval-auc:0.704415 train-auc:0.896443
[203] eval-auc:0.704447 train-auc:0.89672
[204] eval-auc:0.704574 train-auc:0.896775
[205] eval-auc:0.70468 train-auc:0.897057
[206] eval-auc:0.704068 train-auc:0.898079
[207] eval-auc:0.703846 train-auc:0.89831
[208] eval-auc:0.703933 train-auc:0.899211
[209] eval-auc:0.703837 train-auc:0.899234
[210] eval-auc:0.70362 train-auc:0.899359
[211] eval-auc:0.703702 train-auc:0.899659
[212] eval-auc:0.703994 train-auc:0.900354
Score 0.7039935314110294
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9500000000000001, 'eta': 0.05, 'eval_metric': 'auc', 'gamma': 0.9, 'max_depth': 4, 'min_child_weight': 2.0, 'n_estimators': 312.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.713565 train-auc:0.732886
[1] eval-auc:0.682486 train-auc:0.740217
[2] eval-auc:0.693877 train-auc:0.748072
[3] eval-auc:0.688242 train-auc:0.745693
[4] eval-auc:0.689202 train-auc:0.749263
[5] eval-auc:0.694059 train-auc:0.758211
[6] eval-auc:0.693975 train-auc:0.761992
[7] eval-auc:0.693076 train-auc:0.766293
[8] eval-auc:0.68945 train-auc:0.769995
[9] eval-auc:0.691594 train-auc:0.770742
[10] eval-auc:0.692847 train-auc:0.771283
[11] eval-auc:0.693052 train-auc:0.773145
[12] eval-auc:0.692843 train-auc:0.773167
[13] eval-auc:0.693279 train-auc:0.778826
[14] eval-auc:0.692125 train-auc:0.784878
[15] eval-auc:0.693027 train-auc:0.786209
[16] eval-auc:0.693052 train-auc:0.78649
[17] eval-auc:0.693075 train-auc:0.78847
[18] eval-auc:0.692899 train-auc:0.788006
[19] eval-auc:0.693236 train-auc:0.786746
[20] eval-auc:0.693994 train-auc:0.788881
[21] eval-auc:0.693085 train-auc:0.792784
[22] eval-auc:0.693481 train-auc:0.795664
[23] eval-auc:0.69366 train-auc:0.797054
[24] eval-auc:0.692167 train-auc:0.799418
[25] eval-auc:0.691662 train-auc:0.803141
[26] eval-auc:0.691468 train-auc:0.804434
[27] eval-auc:0.691464 train-auc:0.806666
[28] eval-auc:0.693098 train-auc:0.807675
[29] eval-auc:0.694546 train-auc:0.808973
[30] eval-auc:0.694329 train-auc:0.811368
[31] eval-auc:0.696084 train-auc:0.81244
[32] eval-auc:0.697424 train-auc:0.814021
[33] eval-auc:0.696733 train-auc:0.815579
[34] eval-auc:0.696713 train-auc:0.817983
[35] eval-auc:0.696414 train-auc:0.818172
[36] eval-auc:0.696378 train-auc:0.819401
[37] eval-auc:0.696979 train-auc:0.820624
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[127] eval-auc:0.701285 train-auc:0.897677
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[129] eval-auc:0.70013 train-auc:0.899603
[130] eval-auc:0.700187 train-auc:0.900267
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[135] eval-auc:0.700222 train-auc:0.904173
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[143] eval-auc:0.701551 train-auc:0.908751
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[145] eval-auc:0.702386 train-auc:0.909936
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[150] eval-auc:0.703634 train-auc:0.911956
[151] eval-auc:0.704097 train-auc:0.912598
[152] eval-auc:0.704394 train-auc:0.91299
[153] eval-auc:0.704431 train-auc:0.913398
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[156] eval-auc:0.703931 train-auc:0.913593
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[162] eval-auc:0.705245 train-auc:0.916519
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[169] eval-auc:0.704183 train-auc:0.920951
[170] eval-auc:0.704041 train-auc:0.921515
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[172] eval-auc:0.704758 train-auc:0.922976
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[176] eval-auc:0.70405 train-auc:0.924629
[177] eval-auc:0.703885 train-auc:0.924703
[178] eval-auc:0.703899 train-auc:0.924609
[179] eval-auc:0.703257 train-auc:0.925016
[180] eval-auc:0.702879 train-auc:0.925327
[181] eval-auc:0.702874 train-auc:0.9258
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[201] eval-auc:0.704635 train-auc:0.932044
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[203] eval-auc:0.704188 train-auc:0.932299
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[209] eval-auc:0.705761 train-auc:0.933895
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[214] eval-auc:0.705598 train-auc:0.936338
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[217] eval-auc:0.705662 train-auc:0.937537
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[219] eval-auc:0.706052 train-auc:0.938308
[220] eval-auc:0.70611 train-auc:0.938227
[221] eval-auc:0.706185 train-auc:0.938323
[222] eval-auc:0.706099 train-auc:0.93821
[223] eval-auc:0.706339 train-auc:0.938305
[224] eval-auc:0.706255 train-auc:0.938765
[225] eval-auc:0.706057 train-auc:0.939367
[226] eval-auc:0.706364 train-auc:0.939835
[227] eval-auc:0.706093 train-auc:0.940118
[228] eval-auc:0.70615 train-auc:0.940041
[229] eval-auc:0.706208 train-auc:0.940855
[230] eval-auc:0.706421 train-auc:0.94124
[231] eval-auc:0.70556 train-auc:0.941721
[232] eval-auc:0.705813 train-auc:0.941786
[233] eval-auc:0.705847 train-auc:0.941897
[234] eval-auc:0.706098 train-auc:0.941926
[235] eval-auc:0.706399 train-auc:0.942124
[236] eval-auc:0.706304 train-auc:0.942194
[237] eval-auc:0.706428 train-auc:0.942754
[238] eval-auc:0.706243 train-auc:0.942689
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[240] eval-auc:0.706424 train-auc:0.942812
[241] eval-auc:0.706594 train-auc:0.943004
[242] eval-auc:0.706547 train-auc:0.943075
[243] eval-auc:0.706645 train-auc:0.943166
[244] eval-auc:0.707089 train-auc:0.943637
[245] eval-auc:0.706824 train-auc:0.943697
[246] eval-auc:0.70678 train-auc:0.944218
[247] eval-auc:0.706858 train-auc:0.944587
[248] eval-auc:0.706773 train-auc:0.944774
[249] eval-auc:0.70639 train-auc:0.945288
[250] eval-auc:0.706485 train-auc:0.945621
[251] eval-auc:0.706497 train-auc:0.945697
[252] eval-auc:0.706645 train-auc:0.945908
[253] eval-auc:0.706477 train-auc:0.946014
[254] eval-auc:0.706345 train-auc:0.946016
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[256] eval-auc:0.706439 train-auc:0.946264
[257] eval-auc:0.70634 train-auc:0.946318
[258] eval-auc:0.706442 train-auc:0.946405
[259] eval-auc:0.706395 train-auc:0.946598
[260] eval-auc:0.706278 train-auc:0.946622
[261] eval-auc:0.706087 train-auc:0.946755
[262] eval-auc:0.706174 train-auc:0.946793
[263] eval-auc:0.706366 train-auc:0.946795
[264] eval-auc:0.7054 train-auc:0.947242
[265] eval-auc:0.705431 train-auc:0.947609
[266] eval-auc:0.705002 train-auc:0.947649
[267] eval-auc:0.70504 train-auc:0.948044
[268] eval-auc:0.705516 train-auc:0.948314
[269] eval-auc:0.705535 train-auc:0.948636
[270] eval-auc:0.705573 train-auc:0.948738
[271] eval-auc:0.705699 train-auc:0.948782
[272] eval-auc:0.705827 train-auc:0.949295
[273] eval-auc:0.706048 train-auc:0.949385
[274] eval-auc:0.706459 train-auc:0.949994
[275] eval-auc:0.706833 train-auc:0.95026
[276] eval-auc:0.706608 train-auc:0.950596
[277] eval-auc:0.706584 train-auc:0.95073
[278] eval-auc:0.706692 train-auc:0.950776
[279] eval-auc:0.706512 train-auc:0.951028
[280] eval-auc:0.706537 train-auc:0.951137
[281] eval-auc:0.706899 train-auc:0.951375
[282] eval-auc:0.70691 train-auc:0.951735
[283] eval-auc:0.706748 train-auc:0.951756
[284] eval-auc:0.706255 train-auc:0.952118
[285] eval-auc:0.705736 train-auc:0.952404
[286] eval-auc:0.705533 train-auc:0.952522
[287] eval-auc:0.705781 train-auc:0.952673
[288] eval-auc:0.706203 train-auc:0.952944
[289] eval-auc:0.706188 train-auc:0.952976
[290] eval-auc:0.706128 train-auc:0.953131
[291] eval-auc:0.70581 train-auc:0.953348
[292] eval-auc:0.705649 train-auc:0.95346
[293] eval-auc:0.705687 train-auc:0.953663
[294] eval-auc:0.70539 train-auc:0.954162
[295] eval-auc:0.704828 train-auc:0.954408
[296] eval-auc:0.704922 train-auc:0.954449
[297] eval-auc:0.704759 train-auc:0.954885
[298] eval-auc:0.705116 train-auc:0.955078
[299] eval-auc:0.705097 train-auc:0.955329
[300] eval-auc:0.70505 train-auc:0.955446
[301] eval-auc:0.705218 train-auc:0.95559
[302] eval-auc:0.705262 train-auc:0.955811
[303] eval-auc:0.705274 train-auc:0.955979
[304] eval-auc:0.705285 train-auc:0.956187
[305] eval-auc:0.70569 train-auc:0.956349
[306] eval-auc:0.705155 train-auc:0.956528
[307] eval-auc:0.705299 train-auc:0.956616
[308] eval-auc:0.704788 train-auc:0.956782
[309] eval-auc:0.704826 train-auc:0.956873
[310] eval-auc:0.704592 train-auc:0.957134
[311] eval-auc:0.704868 train-auc:0.957274
Score 0.7048675827455567
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9, 'eta': 0.07500000000000001, 'eval_metric': 'auc', 'gamma': 0.9500000000000001, 'max_depth': 4, 'min_child_weight': 2.0, 'n_estimators': 159.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.715365 train-auc:0.727964
[1] eval-auc:0.704847 train-auc:0.744043
[2] eval-auc:0.707121 train-auc:0.757433
[3] eval-auc:0.706292 train-auc:0.7604
[4] eval-auc:0.705145 train-auc:0.760548
[5] eval-auc:0.694424 train-auc:0.77503
[6] eval-auc:0.696596 train-auc:0.773282
[7] eval-auc:0.69708 train-auc:0.775629
[8] eval-auc:0.695456 train-auc:0.777514
[9] eval-auc:0.699935 train-auc:0.77713
[10] eval-auc:0.700238 train-auc:0.781682
[11] eval-auc:0.698726 train-auc:0.787019
[12] eval-auc:0.696896 train-auc:0.790505
[13] eval-auc:0.69726 train-auc:0.792827
[14] eval-auc:0.697005 train-auc:0.790093
[15] eval-auc:0.696231 train-auc:0.792019
[16] eval-auc:0.695886 train-auc:0.796209
[17] eval-auc:0.696866 train-auc:0.799891
[18] eval-auc:0.694496 train-auc:0.800665
[19] eval-auc:0.693959 train-auc:0.806035
[20] eval-auc:0.695198 train-auc:0.807145
[21] eval-auc:0.695803 train-auc:0.809324
[22] eval-auc:0.696467 train-auc:0.810228
[23] eval-auc:0.697906 train-auc:0.814117
[24] eval-auc:0.698191 train-auc:0.817581
[25] eval-auc:0.697956 train-auc:0.820437
[26] eval-auc:0.698957 train-auc:0.822706
[27] eval-auc:0.696961 train-auc:0.826041
[28] eval-auc:0.697236 train-auc:0.827443
[29] eval-auc:0.697903 train-auc:0.828854
[30] eval-auc:0.697741 train-auc:0.831916
[31] eval-auc:0.698351 train-auc:0.833138
[32] eval-auc:0.698426 train-auc:0.834536
[33] eval-auc:0.696642 train-auc:0.835833
[34] eval-auc:0.696757 train-auc:0.83764
[35] eval-auc:0.695443 train-auc:0.83963
[36] eval-auc:0.695268 train-auc:0.841848
[37] eval-auc:0.695299 train-auc:0.842218
[38] eval-auc:0.695216 train-auc:0.844802
[39] eval-auc:0.694236 train-auc:0.847432
[40] eval-auc:0.694088 train-auc:0.848579
[41] eval-auc:0.694987 train-auc:0.849653
[42] eval-auc:0.695776 train-auc:0.850291
[43] eval-auc:0.69531 train-auc:0.852846
[44] eval-auc:0.695516 train-auc:0.855823
[45] eval-auc:0.695757 train-auc:0.856996
[46] eval-auc:0.695048 train-auc:0.860102
[47] eval-auc:0.694914 train-auc:0.860382
[48] eval-auc:0.695162 train-auc:0.862614
[49] eval-auc:0.694664 train-auc:0.863359
[50] eval-auc:0.694611 train-auc:0.863104
[51] eval-auc:0.695695 train-auc:0.864114
[52] eval-auc:0.694958 train-auc:0.864719
[53] eval-auc:0.694002 train-auc:0.865974
[54] eval-auc:0.694215 train-auc:0.868088
[55] eval-auc:0.69441 train-auc:0.868026
[56] eval-auc:0.694435 train-auc:0.867973
[57] eval-auc:0.693752 train-auc:0.868176
[58] eval-auc:0.693388 train-auc:0.869551
[59] eval-auc:0.693155 train-auc:0.870153
[60] eval-auc:0.693345 train-auc:0.872199
[61] eval-auc:0.69303 train-auc:0.874084
[62] eval-auc:0.693369 train-auc:0.875381
[63] eval-auc:0.695195 train-auc:0.876355
[64] eval-auc:0.695398 train-auc:0.87671
[65] eval-auc:0.695229 train-auc:0.877256
[66] eval-auc:0.696433 train-auc:0.880294
[67] eval-auc:0.696124 train-auc:0.880599
[68] eval-auc:0.695928 train-auc:0.880951
[69] eval-auc:0.696782 train-auc:0.883167
[70] eval-auc:0.697057 train-auc:0.885879
[71] eval-auc:0.697001 train-auc:0.886193
[72] eval-auc:0.696718 train-auc:0.887751
[73] eval-auc:0.696049 train-auc:0.8902
[74] eval-auc:0.696014 train-auc:0.890605
[75] eval-auc:0.696252 train-auc:0.890916
[76] eval-auc:0.697071 train-auc:0.892307
[77] eval-auc:0.697377 train-auc:0.89246
[78] eval-auc:0.698699 train-auc:0.893816
[79] eval-auc:0.699564 train-auc:0.894383
[80] eval-auc:0.699357 train-auc:0.896087
[81] eval-auc:0.698719 train-auc:0.896792
[82] eval-auc:0.698195 train-auc:0.897983
[83] eval-auc:0.69857 train-auc:0.899533
[84] eval-auc:0.699558 train-auc:0.90033
[85] eval-auc:0.699553 train-auc:0.90161
[86] eval-auc:0.699189 train-auc:0.901365
[87] eval-auc:0.699036 train-auc:0.902622
[88] eval-auc:0.698244 train-auc:0.903883
[89] eval-auc:0.698221 train-auc:0.904088
[90] eval-auc:0.698241 train-auc:0.904239
[91] eval-auc:0.698055 train-auc:0.904197
[92] eval-auc:0.698358 train-auc:0.904923
[93] eval-auc:0.698433 train-auc:0.905429
[94] eval-auc:0.699846 train-auc:0.906941
[95] eval-auc:0.699652 train-auc:0.907941
[96] eval-auc:0.699776 train-auc:0.909151
[97] eval-auc:0.700057 train-auc:0.911175
[98] eval-auc:0.700513 train-auc:0.912205
[99] eval-auc:0.700982 train-auc:0.912639
[100] eval-auc:0.700817 train-auc:0.912622
[101] eval-auc:0.701397 train-auc:0.914238
[102] eval-auc:0.701452 train-auc:0.91505
[103] eval-auc:0.701042 train-auc:0.915751
[104] eval-auc:0.701784 train-auc:0.916876
[105] eval-auc:0.701265 train-auc:0.917096
[106] eval-auc:0.701285 train-auc:0.917196
[107] eval-auc:0.701822 train-auc:0.917575
[108] eval-auc:0.700904 train-auc:0.918913
[109] eval-auc:0.700947 train-auc:0.919983
[110] eval-auc:0.700525 train-auc:0.920335
[111] eval-auc:0.70057 train-auc:0.921013
[112] eval-auc:0.701055 train-auc:0.921442
[113] eval-auc:0.700345 train-auc:0.922821
[114] eval-auc:0.700551 train-auc:0.923132
[115] eval-auc:0.700531 train-auc:0.923472
[116] eval-auc:0.700363 train-auc:0.924321
[117] eval-auc:0.700593 train-auc:0.925266
[118] eval-auc:0.70083 train-auc:0.925766
[119] eval-auc:0.700882 train-auc:0.926289
[120] eval-auc:0.700975 train-auc:0.927718
[121] eval-auc:0.701023 train-auc:0.930074
[122] eval-auc:0.701265 train-auc:0.930654
[123] eval-auc:0.70123 train-auc:0.931006
[124] eval-auc:0.701559 train-auc:0.931171
[125] eval-auc:0.701447 train-auc:0.931876
[126] eval-auc:0.701437 train-auc:0.932265
[127] eval-auc:0.70086 train-auc:0.93275
[128] eval-auc:0.700809 train-auc:0.933267
[129] eval-auc:0.70067 train-auc:0.933891
[130] eval-auc:0.700615 train-auc:0.934232
[131] eval-auc:0.700162 train-auc:0.934774
[132] eval-auc:0.701294 train-auc:0.935059
[133] eval-auc:0.701212 train-auc:0.935809
[134] eval-auc:0.701023 train-auc:0.936782
[135] eval-auc:0.701747 train-auc:0.937374
[136] eval-auc:0.701863 train-auc:0.937474
[137] eval-auc:0.701591 train-auc:0.938655
[138] eval-auc:0.701598 train-auc:0.939408
[139] eval-auc:0.701872 train-auc:0.939727
[140] eval-auc:0.70184 train-auc:0.939818
[141] eval-auc:0.701964 train-auc:0.939924
[142] eval-auc:0.701505 train-auc:0.940785
[143] eval-auc:0.70176 train-auc:0.94163
[144] eval-auc:0.701347 train-auc:0.942515
[145] eval-auc:0.70138 train-auc:0.942566
[146] eval-auc:0.701347 train-auc:0.943563
[147] eval-auc:0.701649 train-auc:0.943802
[148] eval-auc:0.701912 train-auc:0.94448
[149] eval-auc:0.702312 train-auc:0.944773
[150] eval-auc:0.702044 train-auc:0.944978
[151] eval-auc:0.702291 train-auc:0.945342
[152] eval-auc:0.702332 train-auc:0.945269
[153] eval-auc:0.702602 train-auc:0.945575
[154] eval-auc:0.702672 train-auc:0.945981
[155] eval-auc:0.702404 train-auc:0.946977
[156] eval-auc:0.702652 train-auc:0.947429
[157] eval-auc:0.702954 train-auc:0.948041
[158] eval-auc:0.70306 train-auc:0.948711
Score 0.703060093313355
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8, 'eta': 0.125, 'eval_metric': 'auc', 'gamma': 0.8500000000000001, 'max_depth': 1, 'min_child_weight': 2.0, 'n_estimators': 263.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9, 'tree_method': 'exact'}
[0] eval-auc:0.637627 train-auc:0.641495
[1] eval-auc:0.637627 train-auc:0.641495
[2] eval-auc:0.6691 train-auc:0.677286
[3] eval-auc:0.667391 train-auc:0.675934
[4] eval-auc:0.667391 train-auc:0.675934
[5] eval-auc:0.70082 train-auc:0.698568
[6] eval-auc:0.70082 train-auc:0.698568
[7] eval-auc:0.695611 train-auc:0.697962
[8] eval-auc:0.695611 train-auc:0.697962
[9] eval-auc:0.695611 train-auc:0.697962
[10] eval-auc:0.70419 train-auc:0.700915
[11] eval-auc:0.697144 train-auc:0.698895
[12] eval-auc:0.695611 train-auc:0.697962
[13] eval-auc:0.705542 train-auc:0.701106
[14] eval-auc:0.705542 train-auc:0.701106
[15] eval-auc:0.698582 train-auc:0.699193
[16] eval-auc:0.69858 train-auc:0.69919
[17] eval-auc:0.70094 train-auc:0.699211
[18] eval-auc:0.707758 train-auc:0.700974
[19] eval-auc:0.700965 train-auc:0.699217
[20] eval-auc:0.700965 train-auc:0.699217
[21] eval-auc:0.701591 train-auc:0.699126
[22] eval-auc:0.708225 train-auc:0.701171
[23] eval-auc:0.701268 train-auc:0.698762
[24] eval-auc:0.701591 train-auc:0.699126
[25] eval-auc:0.700943 train-auc:0.698919
[26] eval-auc:0.698005 train-auc:0.696847
[27] eval-auc:0.702041 train-auc:0.699678
[28] eval-auc:0.703273 train-auc:0.699529
[29] eval-auc:0.703599 train-auc:0.699889
[30] eval-auc:0.704686 train-auc:0.700754
[31] eval-auc:0.704495 train-auc:0.702466
[32] eval-auc:0.703413 train-auc:0.7022
[33] eval-auc:0.707251 train-auc:0.703534
[34] eval-auc:0.707771 train-auc:0.705771
[35] eval-auc:0.708176 train-auc:0.705574
[36] eval-auc:0.708355 train-auc:0.70605
[37] eval-auc:0.708565 train-auc:0.707096
[38] eval-auc:0.709973 train-auc:0.70897
[39] eval-auc:0.708423 train-auc:0.7108
[40] eval-auc:0.706485 train-auc:0.709998
[41] eval-auc:0.707293 train-auc:0.709088
[42] eval-auc:0.707505 train-auc:0.709224
[43] eval-auc:0.706954 train-auc:0.709378
[44] eval-auc:0.70655 train-auc:0.70887
[45] eval-auc:0.705956 train-auc:0.708661
[46] eval-auc:0.70611 train-auc:0.709045
[47] eval-auc:0.705898 train-auc:0.709008
[48] eval-auc:0.705885 train-auc:0.708907
[49] eval-auc:0.705178 train-auc:0.708613
[50] eval-auc:0.70548 train-auc:0.709012
[51] eval-auc:0.705894 train-auc:0.709022
[52] eval-auc:0.706108 train-auc:0.709852
[53] eval-auc:0.705066 train-auc:0.709555
[54] eval-auc:0.705048 train-auc:0.709547
[55] eval-auc:0.705152 train-auc:0.709835
[56] eval-auc:0.705458 train-auc:0.710164
[57] eval-auc:0.704933 train-auc:0.7104
[58] eval-auc:0.70541 train-auc:0.710339
[59] eval-auc:0.704091 train-auc:0.711381
[60] eval-auc:0.703716 train-auc:0.711396
[61] eval-auc:0.705877 train-auc:0.711526
[62] eval-auc:0.706413 train-auc:0.711953
[63] eval-auc:0.706607 train-auc:0.712373
[64] eval-auc:0.706996 train-auc:0.712935
[65] eval-auc:0.70756 train-auc:0.712754
[66] eval-auc:0.707127 train-auc:0.712529
[67] eval-auc:0.70758 train-auc:0.712549
[68] eval-auc:0.707688 train-auc:0.712589
[69] eval-auc:0.707001 train-auc:0.713158
[70] eval-auc:0.706151 train-auc:0.713128
[71] eval-auc:0.706404 train-auc:0.713247
[72] eval-auc:0.706693 train-auc:0.713296
[73] eval-auc:0.706094 train-auc:0.713439
[74] eval-auc:0.706067 train-auc:0.713464
[75] eval-auc:0.705922 train-auc:0.713235
[76] eval-auc:0.705898 train-auc:0.713262
[77] eval-auc:0.705082 train-auc:0.713511
[78] eval-auc:0.705394 train-auc:0.714062
[79] eval-auc:0.705622 train-auc:0.71414
[80] eval-auc:0.705074 train-auc:0.714472
[81] eval-auc:0.705138 train-auc:0.714575
[82] eval-auc:0.704495 train-auc:0.714794
[83] eval-auc:0.70413 train-auc:0.715069
[84] eval-auc:0.704185 train-auc:0.714912
[85] eval-auc:0.703891 train-auc:0.714705
[86] eval-auc:0.704049 train-auc:0.714693
[87] eval-auc:0.70425 train-auc:0.714828
[88] eval-auc:0.704475 train-auc:0.714914
[89] eval-auc:0.704603 train-auc:0.714941
[90] eval-auc:0.703298 train-auc:0.715178
[91] eval-auc:0.703084 train-auc:0.714943
[92] eval-auc:0.703547 train-auc:0.715233
[93] eval-auc:0.703582 train-auc:0.715351
[94] eval-auc:0.703551 train-auc:0.715674
[95] eval-auc:0.703707 train-auc:0.715767
[96] eval-auc:0.703667 train-auc:0.71579
[97] eval-auc:0.703824 train-auc:0.716023
[98] eval-auc:0.703943 train-auc:0.716225
[99] eval-auc:0.703866 train-auc:0.716206
[100] eval-auc:0.703189 train-auc:0.716374
[101] eval-auc:0.703606 train-auc:0.716628
[102] eval-auc:0.703921 train-auc:0.716804
[103] eval-auc:0.704014 train-auc:0.716768
[104] eval-auc:0.704017 train-auc:0.717137
[105] eval-auc:0.703924 train-auc:0.7173
[106] eval-auc:0.703315 train-auc:0.717395
[107] eval-auc:0.70321 train-auc:0.717584
[108] eval-auc:0.703467 train-auc:0.717523
[109] eval-auc:0.702976 train-auc:0.717641
[110] eval-auc:0.702829 train-auc:0.717459
[111] eval-auc:0.70302 train-auc:0.717506
[112] eval-auc:0.703046 train-auc:0.717513
[113] eval-auc:0.702577 train-auc:0.717584
[114] eval-auc:0.702826 train-auc:0.71769
[115] eval-auc:0.70289 train-auc:0.717794
[116] eval-auc:0.702842 train-auc:0.71787
[117] eval-auc:0.702914 train-auc:0.717948
[118] eval-auc:0.703092 train-auc:0.717943
[119] eval-auc:0.702638 train-auc:0.718129
[120] eval-auc:0.702847 train-auc:0.718059
[121] eval-auc:0.703129 train-auc:0.718321
[122] eval-auc:0.702941 train-auc:0.718427
[123] eval-auc:0.702832 train-auc:0.718561
[124] eval-auc:0.702818 train-auc:0.718536
[125] eval-auc:0.702669 train-auc:0.718686
[126] eval-auc:0.702279 train-auc:0.718843
[127] eval-auc:0.70215 train-auc:0.718924
[128] eval-auc:0.702183 train-auc:0.718931
[129] eval-auc:0.702392 train-auc:0.719151
[130] eval-auc:0.702398 train-auc:0.719287
[131] eval-auc:0.7025 train-auc:0.719364
[132] eval-auc:0.702063 train-auc:0.719444
[133] eval-auc:0.702038 train-auc:0.719291
[134] eval-auc:0.702217 train-auc:0.719383
[135] eval-auc:0.702229 train-auc:0.719512
[136] eval-auc:0.702274 train-auc:0.719547
[137] eval-auc:0.702116 train-auc:0.719419
[138] eval-auc:0.702253 train-auc:0.719514
[139] eval-auc:0.702187 train-auc:0.719525
[140] eval-auc:0.701843 train-auc:0.719599
[141] eval-auc:0.701904 train-auc:0.719733
[142] eval-auc:0.701875 train-auc:0.719829
[143] eval-auc:0.702055 train-auc:0.719978
[144] eval-auc:0.702012 train-auc:0.720063
[145] eval-auc:0.702086 train-auc:0.720041
[146] eval-auc:0.70192 train-auc:0.720151
[147] eval-auc:0.701527 train-auc:0.720315
[148] eval-auc:0.701654 train-auc:0.720447
[149] eval-auc:0.701515 train-auc:0.720423
[150] eval-auc:0.701582 train-auc:0.720319
[151] eval-auc:0.701269 train-auc:0.720367
[152] eval-auc:0.701005 train-auc:0.720367
[153] eval-auc:0.700851 train-auc:0.720401
[154] eval-auc:0.700926 train-auc:0.720495
[155] eval-auc:0.700906 train-auc:0.720637
[156] eval-auc:0.701013 train-auc:0.720796
[157] eval-auc:0.701025 train-auc:0.72084
[158] eval-auc:0.700959 train-auc:0.720902
[159] eval-auc:0.700836 train-auc:0.720972
[160] eval-auc:0.70132 train-auc:0.720966
[161] eval-auc:0.701465 train-auc:0.721143
[162] eval-auc:0.701505 train-auc:0.721113
[163] eval-auc:0.700987 train-auc:0.72115
[164] eval-auc:0.70103 train-auc:0.721338
[165] eval-auc:0.701028 train-auc:0.721458
[166] eval-auc:0.701118 train-auc:0.721347
[167] eval-auc:0.701169 train-auc:0.721399
[168] eval-auc:0.701353 train-auc:0.721477
[169] eval-auc:0.701799 train-auc:0.721547
[170] eval-auc:0.701911 train-auc:0.72162
[171] eval-auc:0.702158 train-auc:0.721784
[172] eval-auc:0.702251 train-auc:0.721865
[173] eval-auc:0.702108 train-auc:0.721986
[174] eval-auc:0.702072 train-auc:0.722083
[175] eval-auc:0.702142 train-auc:0.722216
[176] eval-auc:0.702086 train-auc:0.722352
[177] eval-auc:0.701362 train-auc:0.722368
[178] eval-auc:0.701735 train-auc:0.722476
[179] eval-auc:0.702267 train-auc:0.722549
[180] eval-auc:0.702235 train-auc:0.72259
[181] eval-auc:0.702367 train-auc:0.722714
[182] eval-auc:0.70209 train-auc:0.722732
[183] eval-auc:0.701757 train-auc:0.722693
[184] eval-auc:0.701385 train-auc:0.722776
[185] eval-auc:0.701208 train-auc:0.722912
[186] eval-auc:0.70162 train-auc:0.722892
[187] eval-auc:0.701294 train-auc:0.723046
[188] eval-auc:0.701125 train-auc:0.723122
[189] eval-auc:0.700886 train-auc:0.723228
[190] eval-auc:0.700679 train-auc:0.723304
[191] eval-auc:0.70105 train-auc:0.723401
[192] eval-auc:0.700711 train-auc:0.72343
[193] eval-auc:0.70124 train-auc:0.723445
[194] eval-auc:0.701303 train-auc:0.723483
[195] eval-auc:0.701265 train-auc:0.723484
[196] eval-auc:0.701216 train-auc:0.723547
[197] eval-auc:0.7013 train-auc:0.723458
[198] eval-auc:0.701165 train-auc:0.723586
[199] eval-auc:0.701307 train-auc:0.723523
[200] eval-auc:0.701565 train-auc:0.723666
[201] eval-auc:0.701714 train-auc:0.723711
[202] eval-auc:0.701554 train-auc:0.723851
[203] eval-auc:0.701613 train-auc:0.724018
[204] eval-auc:0.701735 train-auc:0.7241
[205] eval-auc:0.701612 train-auc:0.724076
[206] eval-auc:0.701671 train-auc:0.724159
[207] eval-auc:0.701861 train-auc:0.72428
[208] eval-auc:0.701942 train-auc:0.724354
[209] eval-auc:0.701884 train-auc:0.724379
[210] eval-auc:0.701826 train-auc:0.724396
[211] eval-auc:0.701847 train-auc:0.724515
[212] eval-auc:0.701467 train-auc:0.724614
[213] eval-auc:0.701538 train-auc:0.724786
[214] eval-auc:0.701721 train-auc:0.724946
[215] eval-auc:0.701576 train-auc:0.72506
[216] eval-auc:0.701374 train-auc:0.725137
[217] eval-auc:0.700465 train-auc:0.725233
[218] eval-auc:0.70038 train-auc:0.725329
[219] eval-auc:0.700767 train-auc:0.725375
[220] eval-auc:0.701005 train-auc:0.725443
[221] eval-auc:0.701068 train-auc:0.725518
[222] eval-auc:0.700375 train-auc:0.725473
[223] eval-auc:0.700417 train-auc:0.725399
[224] eval-auc:0.700346 train-auc:0.725474
[225] eval-auc:0.70044 train-auc:0.725623
[226] eval-auc:0.700745 train-auc:0.72583
[227] eval-auc:0.700104 train-auc:0.725694
[228] eval-auc:0.700038 train-auc:0.725743
[229] eval-auc:0.699968 train-auc:0.725745
[230] eval-auc:0.699805 train-auc:0.72581
[231] eval-auc:0.699543 train-auc:0.725972
[232] eval-auc:0.699522 train-auc:0.726032
[233] eval-auc:0.699572 train-auc:0.726077
[234] eval-auc:0.699278 train-auc:0.726133
[235] eval-auc:0.699307 train-auc:0.726065
[236] eval-auc:0.699638 train-auc:0.726215
[237] eval-auc:0.699671 train-auc:0.726259
[238] eval-auc:0.699264 train-auc:0.726312
[239] eval-auc:0.699386 train-auc:0.72636
[240] eval-auc:0.699552 train-auc:0.726405
[241] eval-auc:0.698595 train-auc:0.726531
[242] eval-auc:0.698579 train-auc:0.726573
[243] eval-auc:0.698375 train-auc:0.726661
[244] eval-auc:0.698162 train-auc:0.72678
[245] eval-auc:0.698337 train-auc:0.726821
[246] eval-auc:0.698159 train-auc:0.72684
[247] eval-auc:0.698165 train-auc:0.72694
[248] eval-auc:0.69792 train-auc:0.726949
[249] eval-auc:0.698007 train-auc:0.727014
[250] eval-auc:0.698043 train-auc:0.727134
[251] eval-auc:0.698018 train-auc:0.727156
[252] eval-auc:0.697979 train-auc:0.727175
[253] eval-auc:0.698019 train-auc:0.727117
[254] eval-auc:0.698452 train-auc:0.727165
[255] eval-auc:0.698595 train-auc:0.727295
[256] eval-auc:0.69861 train-auc:0.727291
[257] eval-auc:0.698276 train-auc:0.727399
[258] eval-auc:0.697748 train-auc:0.727467
[259] eval-auc:0.697943 train-auc:0.727533
[260] eval-auc:0.697917 train-auc:0.727576
[261] eval-auc:0.698057 train-auc:0.727655
[262] eval-auc:0.697763 train-auc:0.727701
Score 0.6977632508618695
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8500000000000001, 'eta': 0.15000000000000002, 'eval_metric': 'auc', 'gamma': 0.8, 'max_depth': 4, 'min_child_weight': 1.0, 'n_estimators': 132.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.8500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.701151 train-auc:0.724841
[1] eval-auc:0.691263 train-auc:0.746537
[2] eval-auc:0.696438 train-auc:0.762757
[3] eval-auc:0.694555 train-auc:0.770087
[4] eval-auc:0.689281 train-auc:0.778456
[5] eval-auc:0.686478 train-auc:0.787959
[6] eval-auc:0.691608 train-auc:0.789113
[7] eval-auc:0.694602 train-auc:0.789983
[8] eval-auc:0.697373 train-auc:0.796771
[9] eval-auc:0.700536 train-auc:0.79685
[10] eval-auc:0.700336 train-auc:0.801543
[11] eval-auc:0.70289 train-auc:0.80432
[12] eval-auc:0.701344 train-auc:0.809372
[13] eval-auc:0.695476 train-auc:0.812603
[14] eval-auc:0.695052 train-auc:0.816037
[15] eval-auc:0.695749 train-auc:0.820457
[16] eval-auc:0.699756 train-auc:0.823817
[17] eval-auc:0.69847 train-auc:0.825596
[18] eval-auc:0.696722 train-auc:0.827932
[19] eval-auc:0.697364 train-auc:0.831291
[20] eval-auc:0.698404 train-auc:0.833984
[21] eval-auc:0.699853 train-auc:0.834951
[22] eval-auc:0.698882 train-auc:0.836765
[23] eval-auc:0.698828 train-auc:0.838012
[24] eval-auc:0.698619 train-auc:0.839168
[25] eval-auc:0.698252 train-auc:0.845098
[26] eval-auc:0.698914 train-auc:0.849787
[27] eval-auc:0.698174 train-auc:0.853016
[28] eval-auc:0.701279 train-auc:0.856361
[29] eval-auc:0.697795 train-auc:0.857075
[30] eval-auc:0.699504 train-auc:0.860578
[31] eval-auc:0.700149 train-auc:0.862158
[32] eval-auc:0.700028 train-auc:0.864557
[33] eval-auc:0.701498 train-auc:0.866385
[34] eval-auc:0.701234 train-auc:0.870085
[35] eval-auc:0.702842 train-auc:0.872772
[36] eval-auc:0.702564 train-auc:0.872449
[37] eval-auc:0.702877 train-auc:0.875341
[38] eval-auc:0.703735 train-auc:0.876724
[39] eval-auc:0.702388 train-auc:0.878422
[40] eval-auc:0.703036 train-auc:0.87959
[41] eval-auc:0.704078 train-auc:0.880386
[42] eval-auc:0.703108 train-auc:0.881125
[43] eval-auc:0.706571 train-auc:0.8842
[44] eval-auc:0.705921 train-auc:0.885476
[45] eval-auc:0.706744 train-auc:0.886787
[46] eval-auc:0.707128 train-auc:0.888351
[47] eval-auc:0.707404 train-auc:0.891517
[48] eval-auc:0.706281 train-auc:0.892042
[49] eval-auc:0.706563 train-auc:0.895062
[50] eval-auc:0.704413 train-auc:0.89587
[51] eval-auc:0.703856 train-auc:0.89749
[52] eval-auc:0.705088 train-auc:0.897794
[53] eval-auc:0.706245 train-auc:0.899224
[54] eval-auc:0.706549 train-auc:0.901516
[55] eval-auc:0.707529 train-auc:0.903546
[56] eval-auc:0.706181 train-auc:0.904741
[57] eval-auc:0.706996 train-auc:0.905424
[58] eval-auc:0.706961 train-auc:0.906984
[59] eval-auc:0.705966 train-auc:0.908479
[60] eval-auc:0.706288 train-auc:0.909686
[61] eval-auc:0.706377 train-auc:0.911369
[62] eval-auc:0.704716 train-auc:0.91222
[63] eval-auc:0.704547 train-auc:0.912932
[64] eval-auc:0.704105 train-auc:0.914546
[65] eval-auc:0.70383 train-auc:0.914268
[66] eval-auc:0.704166 train-auc:0.915172
[67] eval-auc:0.704 train-auc:0.915333
[68] eval-auc:0.70252 train-auc:0.917702
[69] eval-auc:0.702574 train-auc:0.919233
[70] eval-auc:0.701946 train-auc:0.919897
[71] eval-auc:0.702482 train-auc:0.920507
[72] eval-auc:0.704031 train-auc:0.922525
[73] eval-auc:0.703058 train-auc:0.924004
[74] eval-auc:0.704007 train-auc:0.925192
[75] eval-auc:0.704254 train-auc:0.925755
[76] eval-auc:0.704163 train-auc:0.925704
[77] eval-auc:0.703354 train-auc:0.926815
[78] eval-auc:0.701609 train-auc:0.92803
[79] eval-auc:0.700898 train-auc:0.928456
[80] eval-auc:0.701801 train-auc:0.929463
[81] eval-auc:0.703065 train-auc:0.931072
[82] eval-auc:0.703497 train-auc:0.931375
[83] eval-auc:0.703368 train-auc:0.931679
[84] eval-auc:0.703592 train-auc:0.932707
[85] eval-auc:0.703317 train-auc:0.933976
[86] eval-auc:0.703153 train-auc:0.934658
[87] eval-auc:0.702684 train-auc:0.935719
[88] eval-auc:0.70162 train-auc:0.936706
[89] eval-auc:0.701703 train-auc:0.938051
[90] eval-auc:0.701738 train-auc:0.938511
[91] eval-auc:0.702405 train-auc:0.939427
[92] eval-auc:0.700237 train-auc:0.940821
[93] eval-auc:0.69976 train-auc:0.941109
[94] eval-auc:0.699322 train-auc:0.941171
[95] eval-auc:0.701219 train-auc:0.941567
[96] eval-auc:0.699032 train-auc:0.942381
[97] eval-auc:0.699782 train-auc:0.943076
[98] eval-auc:0.697852 train-auc:0.943622
[99] eval-auc:0.697338 train-auc:0.944218
[100] eval-auc:0.696654 train-auc:0.944854
[101] eval-auc:0.69611 train-auc:0.945609
[102] eval-auc:0.696526 train-auc:0.946436
[103] eval-auc:0.696927 train-auc:0.94716
[104] eval-auc:0.697167 train-auc:0.948002
[105] eval-auc:0.696549 train-auc:0.949028
[106] eval-auc:0.69464 train-auc:0.949459
[107] eval-auc:0.69431 train-auc:0.950182
[108] eval-auc:0.694358 train-auc:0.951352
[109] eval-auc:0.694766 train-auc:0.952301
[110] eval-auc:0.695436 train-auc:0.95263
[111] eval-auc:0.694827 train-auc:0.953142
[112] eval-auc:0.69565 train-auc:0.95465
[113] eval-auc:0.69594 train-auc:0.955559
[114] eval-auc:0.695421 train-auc:0.956387
[115] eval-auc:0.69543 train-auc:0.956966
[116] eval-auc:0.696395 train-auc:0.957549
[117] eval-auc:0.696595 train-auc:0.958482
[118] eval-auc:0.696409 train-auc:0.958937
[119] eval-auc:0.696751 train-auc:0.960138
[120] eval-auc:0.697243 train-auc:0.960212
[121] eval-auc:0.696797 train-auc:0.960754
[122] eval-auc:0.697466 train-auc:0.96136
[123] eval-auc:0.697108 train-auc:0.961965
[124] eval-auc:0.695902 train-auc:0.962462
[125] eval-auc:0.696938 train-auc:0.962861
[126] eval-auc:0.696073 train-auc:0.963736
[127] eval-auc:0.695724 train-auc:0.964497
[128] eval-auc:0.694808 train-auc:0.965076
[129] eval-auc:0.694525 train-auc:0.965232
[130] eval-auc:0.694479 train-auc:0.965926
[131] eval-auc:0.694626 train-auc:0.966508
Score 0.6946256502089196
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 1.0, 'eta': 0.025, 'eval_metric': 'auc', 'gamma': 0.75, 'max_depth': 11, 'min_child_weight': 3.0, 'n_estimators': 202.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9, 'tree_method': 'exact'}
[0] eval-auc:0.699393 train-auc:0.87461
[1] eval-auc:0.709026 train-auc:0.91556
[2] eval-auc:0.718785 train-auc:0.935796
[3] eval-auc:0.713489 train-auc:0.954218
[4] eval-auc:0.71553 train-auc:0.958993
[5] eval-auc:0.71 train-auc:0.964826
[6] eval-auc:0.707328 train-auc:0.96851
[7] eval-auc:0.706744 train-auc:0.972457
[8] eval-auc:0.709678 train-auc:0.974676
[9] eval-auc:0.707199 train-auc:0.977765
[10] eval-auc:0.704692 train-auc:0.9796
[11] eval-auc:0.704507 train-auc:0.981005
[12] eval-auc:0.702668 train-auc:0.982951
[13] eval-auc:0.703997 train-auc:0.98504
[14] eval-auc:0.702366 train-auc:0.985898
[15] eval-auc:0.703464 train-auc:0.986853
[16] eval-auc:0.703246 train-auc:0.988332
[17] eval-auc:0.703 train-auc:0.989163
[18] eval-auc:0.703432 train-auc:0.989972
[19] eval-auc:0.70267 train-auc:0.990167
[20] eval-auc:0.701473 train-auc:0.991132
[21] eval-auc:0.700859 train-auc:0.99192
[22] eval-auc:0.700472 train-auc:0.99228
[23] eval-auc:0.701614 train-auc:0.9922
[24] eval-auc:0.701144 train-auc:0.993302
[25] eval-auc:0.701241 train-auc:0.993578
[26] eval-auc:0.701311 train-auc:0.994253
[27] eval-auc:0.702387 train-auc:0.994719
[28] eval-auc:0.703678 train-auc:0.994771
[29] eval-auc:0.702931 train-auc:0.99533
[30] eval-auc:0.701489 train-auc:0.995718
[31] eval-auc:0.701534 train-auc:0.996176
[32] eval-auc:0.701805 train-auc:0.996673
[33] eval-auc:0.701176 train-auc:0.997064
[34] eval-auc:0.700076 train-auc:0.997298
[35] eval-auc:0.699829 train-auc:0.997539
[36] eval-auc:0.699042 train-auc:0.99768
[37] eval-auc:0.697642 train-auc:0.997677
[38] eval-auc:0.697124 train-auc:0.997891
[39] eval-auc:0.697112 train-auc:0.998089
[40] eval-auc:0.697338 train-auc:0.998289
[41] eval-auc:0.69758 train-auc:0.998388
[42] eval-auc:0.69814 train-auc:0.998467
[43] eval-auc:0.699099 train-auc:0.998547
[44] eval-auc:0.698839 train-auc:0.998641
[45] eval-auc:0.699675 train-auc:0.998652
[46] eval-auc:0.699862 train-auc:0.998747
[47] eval-auc:0.700175 train-auc:0.998797
[48] eval-auc:0.70184 train-auc:0.998851
[49] eval-auc:0.701448 train-auc:0.998871
[50] eval-auc:0.700788 train-auc:0.998953
[51] eval-auc:0.701982 train-auc:0.998985
[52] eval-auc:0.702838 train-auc:0.99911
[53] eval-auc:0.702654 train-auc:0.999163
[54] eval-auc:0.703001 train-auc:0.999244
[55] eval-auc:0.703397 train-auc:0.999249
[56] eval-auc:0.703864 train-auc:0.999298
[57] eval-auc:0.703835 train-auc:0.999322
[58] eval-auc:0.704155 train-auc:0.999382
[59] eval-auc:0.703476 train-auc:0.999373
[60] eval-auc:0.702733 train-auc:0.99942
[61] eval-auc:0.703861 train-auc:0.999475
[62] eval-auc:0.703984 train-auc:0.999481
[63] eval-auc:0.704333 train-auc:0.999499
[64] eval-auc:0.703884 train-auc:0.999548
[65] eval-auc:0.703812 train-auc:0.999543
[66] eval-auc:0.703129 train-auc:0.999585
[67] eval-auc:0.703223 train-auc:0.99958
[68] eval-auc:0.703081 train-auc:0.999618
[69] eval-auc:0.702897 train-auc:0.999632
[70] eval-auc:0.703136 train-auc:0.999644
[71] eval-auc:0.702596 train-auc:0.999668
[72] eval-auc:0.702589 train-auc:0.999677
[73] eval-auc:0.702896 train-auc:0.99968
[74] eval-auc:0.702791 train-auc:0.999711
[75] eval-auc:0.70338 train-auc:0.999722
[76] eval-auc:0.703237 train-auc:0.999741
[77] eval-auc:0.703092 train-auc:0.999754
[78] eval-auc:0.702768 train-auc:0.999781
[79] eval-auc:0.702293 train-auc:0.999777
[80] eval-auc:0.702195 train-auc:0.999776
[81] eval-auc:0.702489 train-auc:0.999769
[82] eval-auc:0.70204 train-auc:0.999772
[83] eval-auc:0.70229 train-auc:0.99979
[84] eval-auc:0.702151 train-auc:0.999789
[85] eval-auc:0.702172 train-auc:0.999799
[86] eval-auc:0.702008 train-auc:0.999798
[87] eval-auc:0.702038 train-auc:0.999816
[88] eval-auc:0.702361 train-auc:0.999842
[89] eval-auc:0.702614 train-auc:0.999861
[90] eval-auc:0.702745 train-auc:0.999867
[91] eval-auc:0.702804 train-auc:0.999874
[92] eval-auc:0.703305 train-auc:0.999893
[93] eval-auc:0.702795 train-auc:0.999892
[94] eval-auc:0.702978 train-auc:0.999891
[95] eval-auc:0.703002 train-auc:0.999893
[96] eval-auc:0.703375 train-auc:0.999893
[97] eval-auc:0.702827 train-auc:0.999906
[98] eval-auc:0.702261 train-auc:0.999911
[99] eval-auc:0.702309 train-auc:0.999918
[100] eval-auc:0.701942 train-auc:0.999921
[101] eval-auc:0.70195 train-auc:0.99992
[102] eval-auc:0.702069 train-auc:0.99992
[103] eval-auc:0.70199 train-auc:0.99992
[104] eval-auc:0.701703 train-auc:0.99993
[105] eval-auc:0.701511 train-auc:0.999931
[106] eval-auc:0.701667 train-auc:0.999937
[107] eval-auc:0.7019 train-auc:0.999938
[108] eval-auc:0.701831 train-auc:0.999946
[109] eval-auc:0.70149 train-auc:0.999946
[110] eval-auc:0.701591 train-auc:0.999949
[111] eval-auc:0.701528 train-auc:0.999953
[112] eval-auc:0.702003 train-auc:0.999953
[113] eval-auc:0.702203 train-auc:0.999966
[114] eval-auc:0.701729 train-auc:0.999965
[115] eval-auc:0.701757 train-auc:0.999966
[116] eval-auc:0.701652 train-auc:0.999967
[117] eval-auc:0.701949 train-auc:0.999967
[118] eval-auc:0.701965 train-auc:0.999966
[119] eval-auc:0.701684 train-auc:0.999969
[120] eval-auc:0.701352 train-auc:0.999969
[121] eval-auc:0.701087 train-auc:0.999971
[122] eval-auc:0.7011 train-auc:0.999972
[123] eval-auc:0.701068 train-auc:0.999973
[124] eval-auc:0.700912 train-auc:0.999976
[125] eval-auc:0.701053 train-auc:0.999978
[126] eval-auc:0.701062 train-auc:0.999978
[127] eval-auc:0.700977 train-auc:0.999976
[128] eval-auc:0.701027 train-auc:0.999977
[129] eval-auc:0.701084 train-auc:0.99998
[130] eval-auc:0.701111 train-auc:0.999982
[131] eval-auc:0.701023 train-auc:0.999981
[132] eval-auc:0.700554 train-auc:0.999982
[133] eval-auc:0.700509 train-auc:0.999982
[134] eval-auc:0.700736 train-auc:0.999981
[135] eval-auc:0.700841 train-auc:0.999984
[136] eval-auc:0.700873 train-auc:0.999985
[137] eval-auc:0.700615 train-auc:0.999985
[138] eval-auc:0.700957 train-auc:0.999988
[139] eval-auc:0.701014 train-auc:0.999987
[140] eval-auc:0.701116 train-auc:0.999987
[141] eval-auc:0.700762 train-auc:0.999986
[142] eval-auc:0.700928 train-auc:0.999986
[143] eval-auc:0.700468 train-auc:0.999986
[144] eval-auc:0.70026 train-auc:0.999988
[145] eval-auc:0.700248 train-auc:0.999989
[146] eval-auc:0.700519 train-auc:0.999989
[147] eval-auc:0.700485 train-auc:0.999989
[148] eval-auc:0.700516 train-auc:0.999989
[149] eval-auc:0.700593 train-auc:0.999991
[150] eval-auc:0.700604 train-auc:0.999992
[151] eval-auc:0.70052 train-auc:0.999991
[152] eval-auc:0.700537 train-auc:0.999992
[153] eval-auc:0.700449 train-auc:0.999993
[154] eval-auc:0.700503 train-auc:0.999993
[155] eval-auc:0.700044 train-auc:0.999994
[156] eval-auc:0.700018 train-auc:0.999994
[157] eval-auc:0.700001 train-auc:0.999993
[158] eval-auc:0.69997 train-auc:0.999995
[159] eval-auc:0.699856 train-auc:0.999995
[160] eval-auc:0.69967 train-auc:0.999995
[161] eval-auc:0.699695 train-auc:0.999994
[162] eval-auc:0.699171 train-auc:0.999995
[163] eval-auc:0.699125 train-auc:0.999994
[164] eval-auc:0.698787 train-auc:0.999995
[165] eval-auc:0.698787 train-auc:0.999995
[166] eval-auc:0.698796 train-auc:0.999994
[167] eval-auc:0.698764 train-auc:0.999994
[168] eval-auc:0.698859 train-auc:0.999994
[169] eval-auc:0.698905 train-auc:0.999994
[170] eval-auc:0.698737 train-auc:0.999994
[171] eval-auc:0.698454 train-auc:0.999994
[172] eval-auc:0.698522 train-auc:0.999994
[173] eval-auc:0.698675 train-auc:0.999995
[174] eval-auc:0.69865 train-auc:0.999994
[175] eval-auc:0.69837 train-auc:0.999995
[176] eval-auc:0.698093 train-auc:0.999996
[177] eval-auc:0.698196 train-auc:0.999996
[178] eval-auc:0.69803 train-auc:0.999996
[179] eval-auc:0.698061 train-auc:0.999996
[180] eval-auc:0.698122 train-auc:0.999996
[181] eval-auc:0.698172 train-auc:0.999996
[182] eval-auc:0.698359 train-auc:0.999996
[183] eval-auc:0.69837 train-auc:0.999996
[184] eval-auc:0.698455 train-auc:0.999998
[185] eval-auc:0.698551 train-auc:0.999998
[186] eval-auc:0.698987 train-auc:0.999998
[187] eval-auc:0.699445 train-auc:0.999998
[188] eval-auc:0.699444 train-auc:0.999998
[189] eval-auc:0.699871 train-auc:0.999998
[190] eval-auc:0.69976 train-auc:0.999998
[191] eval-auc:0.699701 train-auc:0.999998
[192] eval-auc:0.699824 train-auc:0.999999
[193] eval-auc:0.700019 train-auc:0.999999
[194] eval-auc:0.700082 train-auc:0.999999
[195] eval-auc:0.700132 train-auc:0.999999
[196] eval-auc:0.700255 train-auc:0.999999
[197] eval-auc:0.70036 train-auc:0.999999
[198] eval-auc:0.700211 train-auc:0.999999
[199] eval-auc:0.700365 train-auc:0.999999
[200] eval-auc:0.700254 train-auc:0.999999
[201] eval-auc:0.700328 train-auc:0.999999
Score 0.7003283022085787
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9500000000000001, 'eta': 0.1, 'eval_metric': 'auc', 'gamma': 0.7000000000000001, 'max_depth': 10, 'min_child_weight': 3.0, 'n_estimators': 462.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.700257 train-auc:0.887667
[1] eval-auc:0.621998 train-auc:0.936827
[2] eval-auc:0.665889 train-auc:0.95775
[3] eval-auc:0.651317 train-auc:0.958959
[4] eval-auc:0.666828 train-auc:0.970461
[5] eval-auc:0.675125 train-auc:0.979832
[6] eval-auc:0.686221 train-auc:0.9841
[7] eval-auc:0.690868 train-auc:0.986176
[8] eval-auc:0.690982 train-auc:0.988753
[9] eval-auc:0.693856 train-auc:0.989346
[10] eval-auc:0.696558 train-auc:0.991414
[11] eval-auc:0.697226 train-auc:0.992298
[12] eval-auc:0.698287 train-auc:0.992803
[13] eval-auc:0.698354 train-auc:0.993111
[14] eval-auc:0.698962 train-auc:0.993692
[15] eval-auc:0.697919 train-auc:0.993947
[16] eval-auc:0.696017 train-auc:0.994937
[17] eval-auc:0.698672 train-auc:0.995713
[18] eval-auc:0.699119 train-auc:0.99636
[19] eval-auc:0.699308 train-auc:0.996811
[20] eval-auc:0.698981 train-auc:0.997399
[21] eval-auc:0.697638 train-auc:0.99764
[22] eval-auc:0.697135 train-auc:0.998178
[23] eval-auc:0.697376 train-auc:0.998357
[24] eval-auc:0.697989 train-auc:0.998381
[25] eval-auc:0.697705 train-auc:0.9985
[26] eval-auc:0.699042 train-auc:0.998878
[27] eval-auc:0.699112 train-auc:0.998882
[28] eval-auc:0.699765 train-auc:0.999187
[29] eval-auc:0.699814 train-auc:0.999268
[30] eval-auc:0.700237 train-auc:0.999345
[31] eval-auc:0.701102 train-auc:0.999376
[32] eval-auc:0.7008 train-auc:0.999439
[33] eval-auc:0.701833 train-auc:0.999477
[34] eval-auc:0.701454 train-auc:0.999495
[35] eval-auc:0.700954 train-auc:0.99953
[36] eval-auc:0.702478 train-auc:0.999585
[37] eval-auc:0.702877 train-auc:0.999602
[38] eval-auc:0.702398 train-auc:0.99965
[39] eval-auc:0.701959 train-auc:0.999654
[40] eval-auc:0.702329 train-auc:0.999654
[41] eval-auc:0.703039 train-auc:0.999719
[42] eval-auc:0.703155 train-auc:0.999721
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[237] eval-auc:0.695553 train-auc:1
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[255] eval-auc:0.695553 train-auc:1
[256] eval-auc:0.695553 train-auc:1
[257] eval-auc:0.695553 train-auc:1
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[265] eval-auc:0.695492 train-auc:1
[266] eval-auc:0.69535 train-auc:1
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[277] eval-auc:0.695188 train-auc:1
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[285] eval-auc:0.695188 train-auc:1
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[300] eval-auc:0.695188 train-auc:1
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[305] eval-auc:0.69491 train-auc:1
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[312] eval-auc:0.694982 train-auc:1
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[317] eval-auc:0.695198 train-auc:1
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[336] eval-auc:0.695119 train-auc:1
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[340] eval-auc:0.695119 train-auc:1
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[343] eval-auc:0.695086 train-auc:1
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[350] eval-auc:0.695086 train-auc:1
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[355] eval-auc:0.695086 train-auc:1
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[357] eval-auc:0.695086 train-auc:1
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[359] eval-auc:0.694996 train-auc:1
[360] eval-auc:0.694996 train-auc:1
[361] eval-auc:0.694996 train-auc:1
[362] eval-auc:0.694996 train-auc:1
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[365] eval-auc:0.695063 train-auc:1
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[367] eval-auc:0.695084 train-auc:1
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[370] eval-auc:0.695084 train-auc:1
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[375] eval-auc:0.694999 train-auc:1
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[411] eval-auc:0.694999 train-auc:1
[412] eval-auc:0.694999 train-auc:1
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[415] eval-auc:0.694918 train-auc:1
[416] eval-auc:0.695229 train-auc:1
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[418] eval-auc:0.695891 train-auc:1
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[420] eval-auc:0.695891 train-auc:1
[421] eval-auc:0.695891 train-auc:1
[422] eval-auc:0.695891 train-auc:1
[423] eval-auc:0.695891 train-auc:1
[424] eval-auc:0.695891 train-auc:1
[425] eval-auc:0.695854 train-auc:1
[426] eval-auc:0.69596 train-auc:1
[427] eval-auc:0.6959 train-auc:1
[428] eval-auc:0.696037 train-auc:1
[429] eval-auc:0.69587 train-auc:1
[430] eval-auc:0.69567 train-auc:1
[431] eval-auc:0.695615 train-auc:1
[432] eval-auc:0.695431 train-auc:1
[433] eval-auc:0.695277 train-auc:1
[434] eval-auc:0.695277 train-auc:1
[435] eval-auc:0.695277 train-auc:1
[436] eval-auc:0.695277 train-auc:1
[437] eval-auc:0.695277 train-auc:1
[438] eval-auc:0.695277 train-auc:1
[439] eval-auc:0.695277 train-auc:1
[440] eval-auc:0.695277 train-auc:1
[441] eval-auc:0.695277 train-auc:1
[442] eval-auc:0.695277 train-auc:1
[443] eval-auc:0.695277 train-auc:1
[444] eval-auc:0.695277 train-auc:1
[445] eval-auc:0.695277 train-auc:1
[446] eval-auc:0.695277 train-auc:1
[447] eval-auc:0.695277 train-auc:1
[448] eval-auc:0.695277 train-auc:1
[449] eval-auc:0.695277 train-auc:1
[450] eval-auc:0.695277 train-auc:1
[451] eval-auc:0.695277 train-auc:1
[452] eval-auc:0.695277 train-auc:1
[453] eval-auc:0.695277 train-auc:1
[454] eval-auc:0.695277 train-auc:1
[455] eval-auc:0.695277 train-auc:1
[456] eval-auc:0.695277 train-auc:1
[457] eval-auc:0.695277 train-auc:1
[458] eval-auc:0.695277 train-auc:1
[459] eval-auc:0.695277 train-auc:1
[460] eval-auc:0.695277 train-auc:1
[461] eval-auc:0.695277 train-auc:1
Score 0.6952773818660234
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8, 'eta': 0.05, 'eval_metric': 'auc', 'gamma': 0.9, 'max_depth': 4, 'min_child_weight': 3.0, 'n_estimators': 332.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.669839 train-auc:0.707508
[1] eval-auc:0.673963 train-auc:0.720855
[2] eval-auc:0.680822 train-auc:0.735716
[3] eval-auc:0.677589 train-auc:0.743617
[4] eval-auc:0.693351 train-auc:0.752657
[5] eval-auc:0.68948 train-auc:0.753976
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[129] eval-auc:0.69812 train-auc:0.900112
[130] eval-auc:0.698423 train-auc:0.90153
[131] eval-auc:0.698358 train-auc:0.902179
[132] eval-auc:0.697977 train-auc:0.903329
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[135] eval-auc:0.697759 train-auc:0.904964
[136] eval-auc:0.697836 train-auc:0.905176
[137] eval-auc:0.697901 train-auc:0.906116
[138] eval-auc:0.697392 train-auc:0.90699
[139] eval-auc:0.69742 train-auc:0.90723
[140] eval-auc:0.69744 train-auc:0.907286
[141] eval-auc:0.697249 train-auc:0.907915
[142] eval-auc:0.696454 train-auc:0.90864
[143] eval-auc:0.696159 train-auc:0.909338
[144] eval-auc:0.695382 train-auc:0.91042
[145] eval-auc:0.695279 train-auc:0.91099
[146] eval-auc:0.694941 train-auc:0.911566
[147] eval-auc:0.695209 train-auc:0.911721
[148] eval-auc:0.695844 train-auc:0.912612
[149] eval-auc:0.696133 train-auc:0.913324
[150] eval-auc:0.696098 train-auc:0.914223
[151] eval-auc:0.695622 train-auc:0.914491
[152] eval-auc:0.695261 train-auc:0.914351
[153] eval-auc:0.695975 train-auc:0.914588
[154] eval-auc:0.696415 train-auc:0.915063
[155] eval-auc:0.696067 train-auc:0.916235
[156] eval-auc:0.696061 train-auc:0.916353
[157] eval-auc:0.696589 train-auc:0.917053
[158] eval-auc:0.697048 train-auc:0.917991
[159] eval-auc:0.697332 train-auc:0.918544
[160] eval-auc:0.697574 train-auc:0.918935
[161] eval-auc:0.697825 train-auc:0.919577
[162] eval-auc:0.697625 train-auc:0.920011
[163] eval-auc:0.697399 train-auc:0.920619
[164] eval-auc:0.697339 train-auc:0.920806
[165] eval-auc:0.697919 train-auc:0.921515
[166] eval-auc:0.697909 train-auc:0.921711
[167] eval-auc:0.698171 train-auc:0.923207
[168] eval-auc:0.698324 train-auc:0.923866
[169] eval-auc:0.698337 train-auc:0.924187
[170] eval-auc:0.698241 train-auc:0.924793
[171] eval-auc:0.69826 train-auc:0.925593
[172] eval-auc:0.698682 train-auc:0.926539
[173] eval-auc:0.698583 train-auc:0.926943
[174] eval-auc:0.698592 train-auc:0.927023
[175] eval-auc:0.698652 train-auc:0.927561
[176] eval-auc:0.699171 train-auc:0.928643
[177] eval-auc:0.699468 train-auc:0.929206
[178] eval-auc:0.69923 train-auc:0.929726
[179] eval-auc:0.698778 train-auc:0.931093
[180] eval-auc:0.698901 train-auc:0.931303
[181] eval-auc:0.698696 train-auc:0.931522
[182] eval-auc:0.699019 train-auc:0.932335
[183] eval-auc:0.69878 train-auc:0.932924
[184] eval-auc:0.698644 train-auc:0.932967
[185] eval-auc:0.698585 train-auc:0.933257
[186] eval-auc:0.698866 train-auc:0.933835
[187] eval-auc:0.698684 train-auc:0.934175
[188] eval-auc:0.699089 train-auc:0.93449
[189] eval-auc:0.699074 train-auc:0.935114
[190] eval-auc:0.699363 train-auc:0.936018
[191] eval-auc:0.699907 train-auc:0.936766
[192] eval-auc:0.69962 train-auc:0.937383
[193] eval-auc:0.699302 train-auc:0.937777
[194] eval-auc:0.70012 train-auc:0.938462
[195] eval-auc:0.700289 train-auc:0.939206
[196] eval-auc:0.70091 train-auc:0.939914
[197] eval-auc:0.700989 train-auc:0.940451
[198] eval-auc:0.701195 train-auc:0.940773
[199] eval-auc:0.701056 train-auc:0.941053
[200] eval-auc:0.700563 train-auc:0.941711
[201] eval-auc:0.70068 train-auc:0.941942
[202] eval-auc:0.700537 train-auc:0.942186
[203] eval-auc:0.700484 train-auc:0.942496
[204] eval-auc:0.700444 train-auc:0.942695
[205] eval-auc:0.700502 train-auc:0.943251
[206] eval-auc:0.700283 train-auc:0.943569
[207] eval-auc:0.700211 train-auc:0.943742
[208] eval-auc:0.70001 train-auc:0.944102
[209] eval-auc:0.699983 train-auc:0.944053
[210] eval-auc:0.700173 train-auc:0.94433
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[212] eval-auc:0.701091 train-auc:0.945194
[213] eval-auc:0.701039 train-auc:0.945218
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[215] eval-auc:0.701221 train-auc:0.946166
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[218] eval-auc:0.701606 train-auc:0.947252
[219] eval-auc:0.70133 train-auc:0.947567
[220] eval-auc:0.701292 train-auc:0.947604
[221] eval-auc:0.701416 train-auc:0.947736
[222] eval-auc:0.70121 train-auc:0.947809
[223] eval-auc:0.700962 train-auc:0.947909
[224] eval-auc:0.701007 train-auc:0.948719
[225] eval-auc:0.70139 train-auc:0.949329
[226] eval-auc:0.70154 train-auc:0.949753
[227] eval-auc:0.701346 train-auc:0.949868
[228] eval-auc:0.700913 train-auc:0.950165
[229] eval-auc:0.701184 train-auc:0.950269
[230] eval-auc:0.701077 train-auc:0.950632
[231] eval-auc:0.701116 train-auc:0.950727
[232] eval-auc:0.701201 train-auc:0.950841
[233] eval-auc:0.701154 train-auc:0.951178
[234] eval-auc:0.701126 train-auc:0.951784
[235] eval-auc:0.700773 train-auc:0.952013
[236] eval-auc:0.700679 train-auc:0.952139
[237] eval-auc:0.700607 train-auc:0.952647
[238] eval-auc:0.700604 train-auc:0.95275
[239] eval-auc:0.700491 train-auc:0.95277
[240] eval-auc:0.700205 train-auc:0.953401
[241] eval-auc:0.700252 train-auc:0.953559
[242] eval-auc:0.700175 train-auc:0.954031
[243] eval-auc:0.700178 train-auc:0.95443
[244] eval-auc:0.699995 train-auc:0.954917
[245] eval-auc:0.699903 train-auc:0.954933
[246] eval-auc:0.700033 train-auc:0.955076
[247] eval-auc:0.700069 train-auc:0.955151
[248] eval-auc:0.700129 train-auc:0.955155
[249] eval-auc:0.6995 train-auc:0.955274
[250] eval-auc:0.699268 train-auc:0.955501
[251] eval-auc:0.699571 train-auc:0.955634
[252] eval-auc:0.699602 train-auc:0.95595
[253] eval-auc:0.699249 train-auc:0.956138
[254] eval-auc:0.699252 train-auc:0.956445
[255] eval-auc:0.699125 train-auc:0.956711
[256] eval-auc:0.69946 train-auc:0.956868
[257] eval-auc:0.69969 train-auc:0.957306
[258] eval-auc:0.699657 train-auc:0.957605
[259] eval-auc:0.699765 train-auc:0.95805
[260] eval-auc:0.699559 train-auc:0.958179
[261] eval-auc:0.699678 train-auc:0.958247
[262] eval-auc:0.699451 train-auc:0.958475
[263] eval-auc:0.699829 train-auc:0.958636
[264] eval-auc:0.699935 train-auc:0.958933
[265] eval-auc:0.699905 train-auc:0.958907
[266] eval-auc:0.700098 train-auc:0.959067
[267] eval-auc:0.700461 train-auc:0.959652
[268] eval-auc:0.700133 train-auc:0.959819
[269] eval-auc:0.700313 train-auc:0.960209
[270] eval-auc:0.700521 train-auc:0.960448
[271] eval-auc:0.70043 train-auc:0.960669
[272] eval-auc:0.70064 train-auc:0.96121
[273] eval-auc:0.700718 train-auc:0.961487
[274] eval-auc:0.700692 train-auc:0.961621
[275] eval-auc:0.700328 train-auc:0.961953
[276] eval-auc:0.700685 train-auc:0.962456
[277] eval-auc:0.700668 train-auc:0.962568
[278] eval-auc:0.700548 train-auc:0.962557
[279] eval-auc:0.700429 train-auc:0.962715
[280] eval-auc:0.700336 train-auc:0.962744
[281] eval-auc:0.700048 train-auc:0.962879
[282] eval-auc:0.699969 train-auc:0.962901
[283] eval-auc:0.69987 train-auc:0.963062
[284] eval-auc:0.69961 train-auc:0.96323
[285] eval-auc:0.699704 train-auc:0.963339
[286] eval-auc:0.699444 train-auc:0.963388
[287] eval-auc:0.699384 train-auc:0.96349
[288] eval-auc:0.699241 train-auc:0.963464
[289] eval-auc:0.698844 train-auc:0.963594
[290] eval-auc:0.698586 train-auc:0.963712
[291] eval-auc:0.698256 train-auc:0.963803
[292] eval-auc:0.698309 train-auc:0.964013
[293] eval-auc:0.698161 train-auc:0.963933
[294] eval-auc:0.698248 train-auc:0.964045
[295] eval-auc:0.698518 train-auc:0.964444
[296] eval-auc:0.698422 train-auc:0.9644
[297] eval-auc:0.698621 train-auc:0.964464
[298] eval-auc:0.698545 train-auc:0.964479
[299] eval-auc:0.698396 train-auc:0.964607
[300] eval-auc:0.698295 train-auc:0.964664
[301] eval-auc:0.698192 train-auc:0.964836
[302] eval-auc:0.698183 train-auc:0.965058
[303] eval-auc:0.697839 train-auc:0.965415
[304] eval-auc:0.697695 train-auc:0.965392
[305] eval-auc:0.697306 train-auc:0.965564
[306] eval-auc:0.697388 train-auc:0.965737
[307] eval-auc:0.697421 train-auc:0.9657
[308] eval-auc:0.69737 train-auc:0.965881
[309] eval-auc:0.697408 train-auc:0.966031
[310] eval-auc:0.697577 train-auc:0.966132
[311] eval-auc:0.697533 train-auc:0.966379
[312] eval-auc:0.697712 train-auc:0.966519
[313] eval-auc:0.697807 train-auc:0.966731
[314] eval-auc:0.697592 train-auc:0.966732
[315] eval-auc:0.697718 train-auc:0.967045
[316] eval-auc:0.697709 train-auc:0.967023
[317] eval-auc:0.697928 train-auc:0.967044
[318] eval-auc:0.697979 train-auc:0.967178
[319] eval-auc:0.698005 train-auc:0.967316
[320] eval-auc:0.698272 train-auc:0.967449
[321] eval-auc:0.698499 train-auc:0.96749
[322] eval-auc:0.698585 train-auc:0.967739
[323] eval-auc:0.698652 train-auc:0.96789
[324] eval-auc:0.698544 train-auc:0.968036
[325] eval-auc:0.698676 train-auc:0.968221
[326] eval-auc:0.698548 train-auc:0.968378
[327] eval-auc:0.69867 train-auc:0.968605
[328] eval-auc:0.698206 train-auc:0.96875
[329] eval-auc:0.698408 train-auc:0.96895
[330] eval-auc:0.698653 train-auc:0.969242
[331] eval-auc:0.698746 train-auc:0.969445
Score 0.6987461779288334
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8500000000000001, 'eta': 0.125, 'eval_metric': 'auc', 'gamma': 0.8500000000000001, 'max_depth': 8, 'min_child_weight': 2.0, 'n_estimators': 392.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.8500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.681463 train-auc:0.798158
[1] eval-auc:0.668696 train-auc:0.8508
[2] eval-auc:0.69197 train-auc:0.878346
[3] eval-auc:0.697993 train-auc:0.901676
[4] eval-auc:0.70001 train-auc:0.914302
[5] eval-auc:0.70366 train-auc:0.930089
[6] eval-auc:0.700902 train-auc:0.93911
[7] eval-auc:0.709624 train-auc:0.942948
[8] eval-auc:0.706968 train-auc:0.947533
[9] eval-auc:0.704683 train-auc:0.952548
[10] eval-auc:0.701365 train-auc:0.960828
[11] eval-auc:0.701199 train-auc:0.964563
[12] eval-auc:0.699965 train-auc:0.967228
[13] eval-auc:0.697805 train-auc:0.969382
[14] eval-auc:0.698364 train-auc:0.972462
[15] eval-auc:0.696754 train-auc:0.976187
[16] eval-auc:0.696467 train-auc:0.978654
[17] eval-auc:0.695 train-auc:0.97984
[18] eval-auc:0.693644 train-auc:0.981086
[19] eval-auc:0.693782 train-auc:0.982923
[20] eval-auc:0.693051 train-auc:0.984611
[21] eval-auc:0.693514 train-auc:0.985866
[22] eval-auc:0.695215 train-auc:0.987045
[23] eval-auc:0.696806 train-auc:0.988321
[24] eval-auc:0.698052 train-auc:0.988936
[25] eval-auc:0.698717 train-auc:0.990509
[26] eval-auc:0.698568 train-auc:0.991597
[27] eval-auc:0.697886 train-auc:0.992166
[28] eval-auc:0.698833 train-auc:0.99295
[29] eval-auc:0.698209 train-auc:0.993835
[30] eval-auc:0.698094 train-auc:0.994238
[31] eval-auc:0.696517 train-auc:0.994658
[32] eval-auc:0.694616 train-auc:0.99542
[33] eval-auc:0.692048 train-auc:0.995937
[34] eval-auc:0.691958 train-auc:0.99615
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[130] eval-auc:0.686983 train-auc:1
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[160] eval-auc:0.684411 train-auc:1
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[164] eval-auc:0.684119 train-auc:1
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[170] eval-auc:0.684728 train-auc:1
[171] eval-auc:0.684368 train-auc:1
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[174] eval-auc:0.684809 train-auc:1
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[177] eval-auc:0.684868 train-auc:1
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[180] eval-auc:0.685419 train-auc:1
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[187] eval-auc:0.685543 train-auc:1
[188] eval-auc:0.685568 train-auc:1
[189] eval-auc:0.685628 train-auc:1
[190] eval-auc:0.685367 train-auc:1
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[198] eval-auc:0.684707 train-auc:1
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[200] eval-auc:0.684658 train-auc:1
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[203] eval-auc:0.684565 train-auc:1
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[206] eval-auc:0.684777 train-auc:1
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[210] eval-auc:0.685049 train-auc:1
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[215] eval-auc:0.68567 train-auc:1
[216] eval-auc:0.68543 train-auc:1
[217] eval-auc:0.685832 train-auc:1
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[219] eval-auc:0.685908 train-auc:1
[220] eval-auc:0.68604 train-auc:1
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[222] eval-auc:0.685955 train-auc:1
[223] eval-auc:0.685919 train-auc:1
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[225] eval-auc:0.685906 train-auc:1
[226] eval-auc:0.686001 train-auc:1
[227] eval-auc:0.685501 train-auc:1
[228] eval-auc:0.685722 train-auc:1
[229] eval-auc:0.685689 train-auc:1
[230] eval-auc:0.685635 train-auc:1
[231] eval-auc:0.685651 train-auc:1
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[233] eval-auc:0.685358 train-auc:1
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[239] eval-auc:0.685131 train-auc:1
[240] eval-auc:0.685354 train-auc:1
[241] eval-auc:0.685073 train-auc:1
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[244] eval-auc:0.68495 train-auc:1
[245] eval-auc:0.685453 train-auc:1
[246] eval-auc:0.685466 train-auc:1
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[255] eval-auc:0.685906 train-auc:1
[256] eval-auc:0.685739 train-auc:1
[257] eval-auc:0.685677 train-auc:1
[258] eval-auc:0.685894 train-auc:1
[259] eval-auc:0.686088 train-auc:1
[260] eval-auc:0.686022 train-auc:1
[261] eval-auc:0.686158 train-auc:1
[262] eval-auc:0.686176 train-auc:1
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[264] eval-auc:0.686235 train-auc:1
[265] eval-auc:0.686284 train-auc:1
[266] eval-auc:0.686244 train-auc:1
[267] eval-auc:0.686563 train-auc:1
[268] eval-auc:0.686484 train-auc:1
[269] eval-auc:0.686654 train-auc:1
[270] eval-auc:0.686538 train-auc:1
[271] eval-auc:0.686773 train-auc:1
[272] eval-auc:0.6867 train-auc:1
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[274] eval-auc:0.686458 train-auc:1
[275] eval-auc:0.686525 train-auc:1
[276] eval-auc:0.686633 train-auc:1
[277] eval-auc:0.686707 train-auc:1
[278] eval-auc:0.687033 train-auc:1
[279] eval-auc:0.686816 train-auc:1
[280] eval-auc:0.68649 train-auc:1
[281] eval-auc:0.686436 train-auc:1
[282] eval-auc:0.686633 train-auc:1
[283] eval-auc:0.686802 train-auc:1
[284] eval-auc:0.687076 train-auc:1
[285] eval-auc:0.687068 train-auc:1
[286] eval-auc:0.687067 train-auc:1
[287] eval-auc:0.686924 train-auc:1
[288] eval-auc:0.686742 train-auc:1
[289] eval-auc:0.686701 train-auc:1
[290] eval-auc:0.687702 train-auc:1
[291] eval-auc:0.687291 train-auc:1
[292] eval-auc:0.68724 train-auc:1
[293] eval-auc:0.687006 train-auc:1
[294] eval-auc:0.686919 train-auc:1
[295] eval-auc:0.686978 train-auc:1
[296] eval-auc:0.687068 train-auc:1
[297] eval-auc:0.687193 train-auc:1
[298] eval-auc:0.68728 train-auc:1
[299] eval-auc:0.687265 train-auc:1
[300] eval-auc:0.687682 train-auc:1
[301] eval-auc:0.687588 train-auc:1
[302] eval-auc:0.687048 train-auc:1
[303] eval-auc:0.687198 train-auc:1
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[305] eval-auc:0.686977 train-auc:1
[306] eval-auc:0.686902 train-auc:1
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[310] eval-auc:0.688384 train-auc:1
[311] eval-auc:0.688405 train-auc:1
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[313] eval-auc:0.688195 train-auc:1
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[315] eval-auc:0.688446 train-auc:1
[316] eval-auc:0.688297 train-auc:1
[317] eval-auc:0.688219 train-auc:1
[318] eval-auc:0.688219 train-auc:1
[319] eval-auc:0.688023 train-auc:1
[320] eval-auc:0.688293 train-auc:1
[321] eval-auc:0.688591 train-auc:1
[322] eval-auc:0.688615 train-auc:1
[323] eval-auc:0.689366 train-auc:1
[324] eval-auc:0.689159 train-auc:1
[325] eval-auc:0.68885 train-auc:1
[326] eval-auc:0.688766 train-auc:1
[327] eval-auc:0.68876 train-auc:1
[328] eval-auc:0.688816 train-auc:1
[329] eval-auc:0.689136 train-auc:1
[330] eval-auc:0.689097 train-auc:1
[331] eval-auc:0.689025 train-auc:1
[332] eval-auc:0.68897 train-auc:1
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[336] eval-auc:0.688679 train-auc:1
[337] eval-auc:0.688533 train-auc:1
[338] eval-auc:0.687916 train-auc:1
[339] eval-auc:0.688212 train-auc:1
[340] eval-auc:0.688402 train-auc:1
[341] eval-auc:0.68844 train-auc:1
[342] eval-auc:0.688597 train-auc:1
[343] eval-auc:0.688612 train-auc:1
[344] eval-auc:0.688762 train-auc:1
[345] eval-auc:0.688818 train-auc:1
[346] eval-auc:0.688762 train-auc:1
[347] eval-auc:0.688745 train-auc:1
[348] eval-auc:0.688707 train-auc:1
[349] eval-auc:0.688912 train-auc:1
[350] eval-auc:0.688556 train-auc:1
[351] eval-auc:0.688544 train-auc:1
[352] eval-auc:0.688149 train-auc:1
[353] eval-auc:0.688107 train-auc:1
[354] eval-auc:0.688366 train-auc:1
[355] eval-auc:0.688268 train-auc:1
[356] eval-auc:0.688219 train-auc:1
[357] eval-auc:0.688125 train-auc:1
[358] eval-auc:0.688256 train-auc:1
[359] eval-auc:0.68835 train-auc:1
[360] eval-auc:0.688536 train-auc:1
[361] eval-auc:0.68841 train-auc:1
[362] eval-auc:0.688603 train-auc:1
[363] eval-auc:0.688378 train-auc:1
[364] eval-auc:0.688203 train-auc:1
[365] eval-auc:0.688041 train-auc:1
[366] eval-auc:0.688201 train-auc:1
[367] eval-auc:0.688053 train-auc:1
[368] eval-auc:0.688053 train-auc:1
[369] eval-auc:0.688121 train-auc:1
[370] eval-auc:0.688204 train-auc:1
[371] eval-auc:0.688204 train-auc:1
[372] eval-auc:0.688344 train-auc:1
[373] eval-auc:0.688353 train-auc:1
[374] eval-auc:0.688401 train-auc:1
[375] eval-auc:0.688663 train-auc:1
[376] eval-auc:0.68873 train-auc:1
[377] eval-auc:0.688812 train-auc:1
[378] eval-auc:0.688742 train-auc:1
[379] eval-auc:0.688742 train-auc:1
[380] eval-auc:0.688742 train-auc:1
[381] eval-auc:0.688629 train-auc:1
[382] eval-auc:0.688463 train-auc:1
[383] eval-auc:0.688577 train-auc:1
[384] eval-auc:0.688494 train-auc:1
[385] eval-auc:0.688392 train-auc:1
[386] eval-auc:0.688218 train-auc:1
[387] eval-auc:0.688227 train-auc:1
[388] eval-auc:0.68842 train-auc:1
[389] eval-auc:0.688791 train-auc:1
[390] eval-auc:0.688791 train-auc:1
[391] eval-auc:0.688791 train-auc:1
Score 0.6887905200453167
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 1.0, 'eta': 0.07500000000000001, 'eval_metric': 'auc', 'gamma': 0.8, 'max_depth': 7, 'min_child_weight': 1.0, 'n_estimators': 432.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.705445 train-auc:0.800856
[1] eval-auc:0.711924 train-auc:0.818595
[2] eval-auc:0.704588 train-auc:0.836777
[3] eval-auc:0.703972 train-auc:0.855134
[4] eval-auc:0.702362 train-auc:0.856574
[5] eval-auc:0.703062 train-auc:0.86128
[6] eval-auc:0.699355 train-auc:0.867522
[7] eval-auc:0.699299 train-auc:0.87086
[8] eval-auc:0.697678 train-auc:0.885737
[9] eval-auc:0.698309 train-auc:0.893486
[10] eval-auc:0.698334 train-auc:0.894404
[11] eval-auc:0.701544 train-auc:0.906507
[12] eval-auc:0.699721 train-auc:0.912538
[13] eval-auc:0.699149 train-auc:0.919608
[14] eval-auc:0.698844 train-auc:0.925846
[15] eval-auc:0.699782 train-auc:0.929195
[16] eval-auc:0.697814 train-auc:0.930333
[17] eval-auc:0.699736 train-auc:0.933506
[18] eval-auc:0.696779 train-auc:0.938911
[19] eval-auc:0.696419 train-auc:0.941206
[20] eval-auc:0.695775 train-auc:0.942658
[21] eval-auc:0.693411 train-auc:0.946033
[22] eval-auc:0.693299 train-auc:0.946804
[23] eval-auc:0.693769 train-auc:0.950213
[24] eval-auc:0.694878 train-auc:0.952742
[25] eval-auc:0.694884 train-auc:0.95401
[26] eval-auc:0.695493 train-auc:0.956498
[27] eval-auc:0.695532 train-auc:0.958647
[28] eval-auc:0.696309 train-auc:0.959512
[29] eval-auc:0.69568 train-auc:0.961193
[30] eval-auc:0.695818 train-auc:0.962228
[31] eval-auc:0.696784 train-auc:0.963659
[32] eval-auc:0.697332 train-auc:0.964297
[33] eval-auc:0.696489 train-auc:0.964678
[34] eval-auc:0.69536 train-auc:0.967784
[35] eval-auc:0.698142 train-auc:0.969431
[36] eval-auc:0.698257 train-auc:0.971206
[37] eval-auc:0.698834 train-auc:0.972693
[38] eval-auc:0.699151 train-auc:0.973074
[39] eval-auc:0.699681 train-auc:0.974155
[40] eval-auc:0.69973 train-auc:0.974639
[41] eval-auc:0.699564 train-auc:0.975526
[42] eval-auc:0.700606 train-auc:0.977054
[43] eval-auc:0.699396 train-auc:0.978381
[44] eval-auc:0.699702 train-auc:0.980688
[45] eval-auc:0.700926 train-auc:0.981156
[46] eval-auc:0.700585 train-auc:0.981466
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[427] eval-auc:0.697231 train-auc:1
[428] eval-auc:0.69731 train-auc:1
[429] eval-auc:0.697042 train-auc:1
[430] eval-auc:0.697277 train-auc:1
[431] eval-auc:0.697315 train-auc:1
Score 0.6973148046632313
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.65, 'eta': 0.47500000000000003, 'eval_metric': 'auc', 'gamma': 0.75, 'max_depth': 4, 'min_child_weight': 2.0, 'n_estimators': 222.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.8, 'tree_method': 'exact'}
[0] eval-auc:0.648153 train-auc:0.704747
[1] eval-auc:0.647904 train-auc:0.727935
[2] eval-auc:0.658846 train-auc:0.74843
[3] eval-auc:0.670186 train-auc:0.75958
[4] eval-auc:0.687355 train-auc:0.785384
[5] eval-auc:0.689182 train-auc:0.796794
[6] eval-auc:0.690676 train-auc:0.802249
[7] eval-auc:0.692552 train-auc:0.809179
[8] eval-auc:0.693398 train-auc:0.817988
[9] eval-auc:0.69041 train-auc:0.821688
[10] eval-auc:0.689579 train-auc:0.829022
[11] eval-auc:0.689832 train-auc:0.829779
[12] eval-auc:0.688597 train-auc:0.834322
[13] eval-auc:0.68469 train-auc:0.839025
[14] eval-auc:0.685918 train-auc:0.848069
[15] eval-auc:0.688417 train-auc:0.854715
[16] eval-auc:0.684364 train-auc:0.856997
[17] eval-auc:0.687864 train-auc:0.865404
[18] eval-auc:0.685522 train-auc:0.867874
[19] eval-auc:0.689437 train-auc:0.871633
[20] eval-auc:0.690747 train-auc:0.873995
[21] eval-auc:0.69231 train-auc:0.875294
[22] eval-auc:0.690027 train-auc:0.877168
[23] eval-auc:0.691324 train-auc:0.877987
[24] eval-auc:0.694187 train-auc:0.882689
[25] eval-auc:0.693027 train-auc:0.8863
[26] eval-auc:0.690051 train-auc:0.887381
[27] eval-auc:0.690974 train-auc:0.889814
[28] eval-auc:0.692705 train-auc:0.893673
[29] eval-auc:0.691588 train-auc:0.896039
[30] eval-auc:0.687013 train-auc:0.900819
[31] eval-auc:0.688485 train-auc:0.903711
[32] eval-auc:0.687597 train-auc:0.906153
[33] eval-auc:0.688182 train-auc:0.908335
[34] eval-auc:0.688453 train-auc:0.910326
[35] eval-auc:0.688516 train-auc:0.912168
[36] eval-auc:0.687983 train-auc:0.914001
[37] eval-auc:0.690926 train-auc:0.916361
[38] eval-auc:0.688288 train-auc:0.917682
[39] eval-auc:0.686139 train-auc:0.921082
[40] eval-auc:0.686662 train-auc:0.92418
[41] eval-auc:0.689365 train-auc:0.926707
[42] eval-auc:0.689322 train-auc:0.928195
[43] eval-auc:0.685342 train-auc:0.929756
[44] eval-auc:0.684588 train-auc:0.930536
[45] eval-auc:0.691128 train-auc:0.932323
[46] eval-auc:0.690619 train-auc:0.93376
[47] eval-auc:0.689534 train-auc:0.935665
[48] eval-auc:0.689995 train-auc:0.936976
[49] eval-auc:0.690664 train-auc:0.939358
[50] eval-auc:0.687837 train-auc:0.940293
[51] eval-auc:0.687543 train-auc:0.940417
[52] eval-auc:0.686969 train-auc:0.941866
[53] eval-auc:0.688618 train-auc:0.943512
[54] eval-auc:0.688775 train-auc:0.945228
[55] eval-auc:0.686834 train-auc:0.947681
[56] eval-auc:0.685521 train-auc:0.948655
[57] eval-auc:0.684798 train-auc:0.950025
[58] eval-auc:0.685695 train-auc:0.950921
[59] eval-auc:0.684719 train-auc:0.952996
[60] eval-auc:0.685381 train-auc:0.953382
[61] eval-auc:0.684987 train-auc:0.954075
[62] eval-auc:0.685014 train-auc:0.955501
[63] eval-auc:0.685451 train-auc:0.956609
[64] eval-auc:0.684104 train-auc:0.957265
[65] eval-auc:0.683884 train-auc:0.957278
[66] eval-auc:0.683674 train-auc:0.957843
[67] eval-auc:0.683217 train-auc:0.958633
[68] eval-auc:0.685264 train-auc:0.959845
[69] eval-auc:0.684368 train-auc:0.959774
[70] eval-auc:0.684289 train-auc:0.961478
[71] eval-auc:0.684137 train-auc:0.962685
[72] eval-auc:0.682827 train-auc:0.962944
[73] eval-auc:0.683158 train-auc:0.963311
[74] eval-auc:0.683403 train-auc:0.964007
[75] eval-auc:0.682933 train-auc:0.965223
[76] eval-auc:0.680332 train-auc:0.966059
[77] eval-auc:0.681529 train-auc:0.966453
[78] eval-auc:0.683992 train-auc:0.966846
[79] eval-auc:0.683134 train-auc:0.967306
[80] eval-auc:0.681364 train-auc:0.96793
[81] eval-auc:0.681475 train-auc:0.968535
[82] eval-auc:0.682541 train-auc:0.969518
[83] eval-auc:0.683204 train-auc:0.969996
[84] eval-auc:0.684008 train-auc:0.9707
[85] eval-auc:0.683363 train-auc:0.971368
[86] eval-auc:0.682937 train-auc:0.97161
[87] eval-auc:0.682762 train-auc:0.971844
[88] eval-auc:0.682336 train-auc:0.972191
[89] eval-auc:0.681937 train-auc:0.97302
[90] eval-auc:0.681175 train-auc:0.973271
[91] eval-auc:0.681824 train-auc:0.973803
[92] eval-auc:0.682232 train-auc:0.974738
[93] eval-auc:0.681 train-auc:0.97508
[94] eval-auc:0.680444 train-auc:0.975357
[95] eval-auc:0.680345 train-auc:0.975655
[96] eval-auc:0.680787 train-auc:0.976534
[97] eval-auc:0.681352 train-auc:0.976771
[98] eval-auc:0.681143 train-auc:0.977507
[99] eval-auc:0.680289 train-auc:0.977601
[100] eval-auc:0.679883 train-auc:0.977815
[101] eval-auc:0.678865 train-auc:0.978323
[102] eval-auc:0.677372 train-auc:0.97843
[103] eval-auc:0.677861 train-auc:0.978574
[104] eval-auc:0.677505 train-auc:0.978697
[105] eval-auc:0.675753 train-auc:0.978894
[106] eval-auc:0.675135 train-auc:0.979246
[107] eval-auc:0.67443 train-auc:0.979859
[108] eval-auc:0.673454 train-auc:0.981292
[109] eval-auc:0.673696 train-auc:0.98152
[110] eval-auc:0.673919 train-auc:0.981587
[111] eval-auc:0.674037 train-auc:0.982682
[112] eval-auc:0.673403 train-auc:0.982917
[113] eval-auc:0.673309 train-auc:0.983181
[114] eval-auc:0.674434 train-auc:0.983622
[115] eval-auc:0.675311 train-auc:0.984217
[116] eval-auc:0.677492 train-auc:0.9849
[117] eval-auc:0.676919 train-auc:0.985254
[118] eval-auc:0.67821 train-auc:0.986163
[119] eval-auc:0.675983 train-auc:0.986592
[120] eval-auc:0.67527 train-auc:0.986962
[121] eval-auc:0.674143 train-auc:0.986987
[122] eval-auc:0.675228 train-auc:0.987375
[123] eval-auc:0.672777 train-auc:0.98758
[124] eval-auc:0.673997 train-auc:0.98795
[125] eval-auc:0.675039 train-auc:0.988257
[126] eval-auc:0.676406 train-auc:0.98853
[127] eval-auc:0.67954 train-auc:0.988873
[128] eval-auc:0.679686 train-auc:0.988919
[129] eval-auc:0.681411 train-auc:0.989215
[130] eval-auc:0.680335 train-auc:0.989521
[131] eval-auc:0.680764 train-auc:0.989543
[132] eval-auc:0.682144 train-auc:0.99008
[133] eval-auc:0.682541 train-auc:0.990567
[134] eval-auc:0.68245 train-auc:0.990634
[135] eval-auc:0.682118 train-auc:0.991143
[136] eval-auc:0.681437 train-auc:0.991475
[137] eval-auc:0.681157 train-auc:0.991799
[138] eval-auc:0.682725 train-auc:0.991861
[139] eval-auc:0.690159 train-auc:0.992123
[140] eval-auc:0.691257 train-auc:0.992189
[141] eval-auc:0.69146 train-auc:0.992529
[142] eval-auc:0.690309 train-auc:0.992749
[143] eval-auc:0.689939 train-auc:0.992877
[144] eval-auc:0.690202 train-auc:0.993104
[145] eval-auc:0.689226 train-auc:0.993162
[146] eval-auc:0.688819 train-auc:0.993304
[147] eval-auc:0.687898 train-auc:0.993361
[148] eval-auc:0.688099 train-auc:0.993471
[149] eval-auc:0.686791 train-auc:0.993425
[150] eval-auc:0.687336 train-auc:0.993391
[151] eval-auc:0.687056 train-auc:0.99361
[152] eval-auc:0.686369 train-auc:0.993806
[153] eval-auc:0.685357 train-auc:0.993928
[154] eval-auc:0.684841 train-auc:0.994299
[155] eval-auc:0.685155 train-auc:0.99444
[156] eval-auc:0.686115 train-auc:0.99451
[157] eval-auc:0.686971 train-auc:0.994704
[158] eval-auc:0.68601 train-auc:0.994832
[159] eval-auc:0.685855 train-auc:0.994946
[160] eval-auc:0.686194 train-auc:0.99505
[161] eval-auc:0.686213 train-auc:0.995262
[162] eval-auc:0.685996 train-auc:0.995418
[163] eval-auc:0.684649 train-auc:0.995562
[164] eval-auc:0.684661 train-auc:0.995502
[165] eval-auc:0.684018 train-auc:0.99572
[166] eval-auc:0.685107 train-auc:0.995994
[167] eval-auc:0.685807 train-auc:0.996076
[168] eval-auc:0.685833 train-auc:0.996069
[169] eval-auc:0.686534 train-auc:0.996076
[170] eval-auc:0.686421 train-auc:0.996186
[171] eval-auc:0.687648 train-auc:0.996187
[172] eval-auc:0.686709 train-auc:0.996422
[173] eval-auc:0.687256 train-auc:0.99649
[174] eval-auc:0.687304 train-auc:0.996511
[175] eval-auc:0.687126 train-auc:0.996697
[176] eval-auc:0.687096 train-auc:0.996663
[177] eval-auc:0.687767 train-auc:0.996754
[178] eval-auc:0.68753 train-auc:0.99692
[179] eval-auc:0.687332 train-auc:0.997006
[180] eval-auc:0.685973 train-auc:0.997103
[181] eval-auc:0.685943 train-auc:0.997141
[182] eval-auc:0.685879 train-auc:0.997234
[183] eval-auc:0.68423 train-auc:0.997283
[184] eval-auc:0.684168 train-auc:0.997352
[185] eval-auc:0.683607 train-auc:0.997347
[186] eval-auc:0.683706 train-auc:0.997367
[187] eval-auc:0.684338 train-auc:0.99743
[188] eval-auc:0.684244 train-auc:0.9974
[189] eval-auc:0.684985 train-auc:0.997439
[190] eval-auc:0.684993 train-auc:0.997457
[191] eval-auc:0.684964 train-auc:0.997521
[192] eval-auc:0.685521 train-auc:0.997629
[193] eval-auc:0.685661 train-auc:0.997611
[194] eval-auc:0.68587 train-auc:0.997756
[195] eval-auc:0.685311 train-auc:0.99774
[196] eval-auc:0.684789 train-auc:0.997758
[197] eval-auc:0.684408 train-auc:0.997804
[198] eval-auc:0.684885 train-auc:0.997837
[199] eval-auc:0.684559 train-auc:0.997843
[200] eval-auc:0.683667 train-auc:0.9979
[201] eval-auc:0.683443 train-auc:0.997929
[202] eval-auc:0.683083 train-auc:0.997939
[203] eval-auc:0.683328 train-auc:0.998014
[204] eval-auc:0.683528 train-auc:0.998055
[205] eval-auc:0.684171 train-auc:0.998085
[206] eval-auc:0.684501 train-auc:0.99813
[207] eval-auc:0.68474 train-auc:0.998094
[208] eval-auc:0.684682 train-auc:0.998113
[209] eval-auc:0.684244 train-auc:0.998109
[210] eval-auc:0.684091 train-auc:0.99811
[211] eval-auc:0.683464 train-auc:0.998114
[212] eval-auc:0.683385 train-auc:0.998167
[213] eval-auc:0.682954 train-auc:0.998266
[214] eval-auc:0.685709 train-auc:0.998331
[215] eval-auc:0.68606 train-auc:0.998371
[216] eval-auc:0.686333 train-auc:0.998442
[217] eval-auc:0.686831 train-auc:0.998499
[218] eval-auc:0.686517 train-auc:0.998466
[219] eval-auc:0.687218 train-auc:0.998562
[220] eval-auc:0.685868 train-auc:0.998624
[221] eval-auc:0.685436 train-auc:0.998643
Score 0.6854359292962515
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9, 'eta': 0.05, 'eval_metric': 'auc', 'gamma': 0.8, 'max_depth': 9, 'min_child_weight': 3.0, 'n_estimators': 505.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.689146 train-auc:0.823069
[1] eval-auc:0.675094 train-auc:0.878947
[2] eval-auc:0.687063 train-auc:0.903712
[3] eval-auc:0.699199 train-auc:0.929483
[4] eval-auc:0.705537 train-auc:0.938177
[5] eval-auc:0.699677 train-auc:0.952585
[6] eval-auc:0.698496 train-auc:0.955094
[7] eval-auc:0.703541 train-auc:0.960614
[8] eval-auc:0.703306 train-auc:0.96528
[9] eval-auc:0.703968 train-auc:0.969474
[10] eval-auc:0.702572 train-auc:0.973077
[11] eval-auc:0.700933 train-auc:0.977427
[12] eval-auc:0.698311 train-auc:0.978917
[13] eval-auc:0.699704 train-auc:0.981564
[14] eval-auc:0.702639 train-auc:0.98241
[15] eval-auc:0.697778 train-auc:0.984185
[16] eval-auc:0.696279 train-auc:0.985448
[17] eval-auc:0.698471 train-auc:0.987359
[18] eval-auc:0.697143 train-auc:0.987569
[19] eval-auc:0.696477 train-auc:0.988175
[20] eval-auc:0.698021 train-auc:0.988731
[21] eval-auc:0.698687 train-auc:0.989711
[22] eval-auc:0.698833 train-auc:0.990759
[23] eval-auc:0.700394 train-auc:0.990984
[24] eval-auc:0.702142 train-auc:0.991836
[25] eval-auc:0.70459 train-auc:0.992421
[26] eval-auc:0.703748 train-auc:0.993444
[27] eval-auc:0.70454 train-auc:0.99427
[28] eval-auc:0.705685 train-auc:0.994496
[29] eval-auc:0.705282 train-auc:0.995
[30] eval-auc:0.704654 train-auc:0.995303
[31] eval-auc:0.704763 train-auc:0.995577
[32] eval-auc:0.704616 train-auc:0.996
[33] eval-auc:0.704703 train-auc:0.996136
[34] eval-auc:0.703803 train-auc:0.996551
[35] eval-auc:0.701836 train-auc:0.996963
[36] eval-auc:0.701187 train-auc:0.997182
[37] eval-auc:0.701205 train-auc:0.997183
[38] eval-auc:0.701125 train-auc:0.997214
[39] eval-auc:0.700185 train-auc:0.997292
[40] eval-auc:0.699494 train-auc:0.997378
[41] eval-auc:0.70015 train-auc:0.997513
[42] eval-auc:0.69911 train-auc:0.997729
[43] eval-auc:0.698708 train-auc:0.997798
[44] eval-auc:0.699744 train-auc:0.997921
[45] eval-auc:0.699221 train-auc:0.998076
[46] eval-auc:0.699349 train-auc:0.998294
[47] eval-auc:0.699381 train-auc:0.998337
[48] eval-auc:0.699378 train-auc:0.998403
[49] eval-auc:0.698541 train-auc:0.998541
[50] eval-auc:0.697999 train-auc:0.998558
[51] eval-auc:0.697618 train-auc:0.998681
[52] eval-auc:0.699072 train-auc:0.998689
[53] eval-auc:0.699255 train-auc:0.998726
[54] eval-auc:0.699401 train-auc:0.998819
[55] eval-auc:0.699244 train-auc:0.998881
[56] eval-auc:0.698901 train-auc:0.99891
[57] eval-auc:0.698767 train-auc:0.99897
[58] eval-auc:0.698964 train-auc:0.999058
[59] eval-auc:0.698582 train-auc:0.999053
[60] eval-auc:0.697893 train-auc:0.999124
[61] eval-auc:0.697999 train-auc:0.99929
[62] eval-auc:0.697938 train-auc:0.999316
[63] eval-auc:0.697743 train-auc:0.999377
[64] eval-auc:0.698155 train-auc:0.99938
[65] eval-auc:0.698171 train-auc:0.999384
[66] eval-auc:0.697977 train-auc:0.999417
[67] eval-auc:0.698023 train-auc:0.999416
[68] eval-auc:0.698506 train-auc:0.999455
[69] eval-auc:0.698943 train-auc:0.999475
[70] eval-auc:0.698909 train-auc:0.999544
[71] eval-auc:0.698868 train-auc:0.999554
[72] eval-auc:0.69908 train-auc:0.999561
[73] eval-auc:0.699345 train-auc:0.999552
[74] eval-auc:0.699096 train-auc:0.999614
[75] eval-auc:0.698993 train-auc:0.999617
[76] eval-auc:0.698801 train-auc:0.999627
[77] eval-auc:0.699308 train-auc:0.999681
[78] eval-auc:0.699731 train-auc:0.999708
[79] eval-auc:0.700018 train-auc:0.999716
[80] eval-auc:0.699871 train-auc:0.999725
[81] eval-auc:0.699789 train-auc:0.99973
[82] eval-auc:0.699986 train-auc:0.999759
[83] eval-auc:0.700362 train-auc:0.999776
[84] eval-auc:0.700607 train-auc:0.999812
[85] eval-auc:0.700735 train-auc:0.999818
[86] eval-auc:0.700837 train-auc:0.999816
[87] eval-auc:0.701091 train-auc:0.99982
[88] eval-auc:0.701589 train-auc:0.999832
[89] eval-auc:0.7019 train-auc:0.999832
[90] eval-auc:0.701813 train-auc:0.999831
[91] eval-auc:0.70163 train-auc:0.999841
[92] eval-auc:0.701154 train-auc:0.999866
[93] eval-auc:0.701061 train-auc:0.999872
[94] eval-auc:0.701199 train-auc:0.999875
[95] eval-auc:0.701166 train-auc:0.999877
[96] eval-auc:0.701353 train-auc:0.999881
[97] eval-auc:0.701527 train-auc:0.99988
[98] eval-auc:0.701591 train-auc:0.999879
[99] eval-auc:0.70133 train-auc:0.99988
[100] eval-auc:0.700799 train-auc:0.999884
[101] eval-auc:0.70047 train-auc:0.999884
[102] eval-auc:0.700281 train-auc:0.999884
[103] eval-auc:0.700846 train-auc:0.999891
[104] eval-auc:0.700975 train-auc:0.999894
[105] eval-auc:0.700788 train-auc:0.999893
[106] eval-auc:0.700654 train-auc:0.999908
[107] eval-auc:0.700896 train-auc:0.999911
[108] eval-auc:0.700759 train-auc:0.999919
[109] eval-auc:0.700768 train-auc:0.999923
[110] eval-auc:0.700883 train-auc:0.999923
[111] eval-auc:0.700683 train-auc:0.999924
[112] eval-auc:0.700592 train-auc:0.999924
[113] eval-auc:0.700625 train-auc:0.999932
[114] eval-auc:0.700703 train-auc:0.999931
[115] eval-auc:0.700573 train-auc:0.999938
[116] eval-auc:0.700997 train-auc:0.999941
[117] eval-auc:0.701141 train-auc:0.999942
[118] eval-auc:0.701272 train-auc:0.999943
[119] eval-auc:0.700851 train-auc:0.999945
[120] eval-auc:0.701405 train-auc:0.99995
[121] eval-auc:0.701251 train-auc:0.999957
[122] eval-auc:0.701572 train-auc:0.999962
[123] eval-auc:0.701412 train-auc:0.99996
[124] eval-auc:0.701457 train-auc:0.999964
[125] eval-auc:0.701953 train-auc:0.999963
[126] eval-auc:0.702046 train-auc:0.999963
[127] eval-auc:0.70156 train-auc:0.999961
[128] eval-auc:0.701649 train-auc:0.999961
[129] eval-auc:0.701582 train-auc:0.999963
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[218] eval-auc:0.700741 train-auc:1
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[251] eval-auc:0.702824 train-auc:1
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[255] eval-auc:0.703197 train-auc:1
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[258] eval-auc:0.703031 train-auc:1
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[260] eval-auc:0.703188 train-auc:1
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[264] eval-auc:0.702928 train-auc:1
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[266] eval-auc:0.702979 train-auc:1
[267] eval-auc:0.703258 train-auc:1
[268] eval-auc:0.702947 train-auc:1
[269] eval-auc:0.702759 train-auc:1
[270] eval-auc:0.702823 train-auc:1
[271] eval-auc:0.702705 train-auc:1
[272] eval-auc:0.702577 train-auc:1
[273] eval-auc:0.702337 train-auc:1
[274] eval-auc:0.702424 train-auc:1
[275] eval-auc:0.702328 train-auc:1
[276] eval-auc:0.702248 train-auc:1
[277] eval-auc:0.702221 train-auc:1
[278] eval-auc:0.702326 train-auc:1
[279] eval-auc:0.70202 train-auc:1
[280] eval-auc:0.702057 train-auc:1
[281] eval-auc:0.702017 train-auc:1
[282] eval-auc:0.702003 train-auc:1
[283] eval-auc:0.702037 train-auc:1
[284] eval-auc:0.702046 train-auc:1
[285] eval-auc:0.702127 train-auc:1
[286] eval-auc:0.702073 train-auc:1
[287] eval-auc:0.702139 train-auc:1
[288] eval-auc:0.702165 train-auc:1
[289] eval-auc:0.702398 train-auc:1
[290] eval-auc:0.702541 train-auc:1
[291] eval-auc:0.702372 train-auc:1
[292] eval-auc:0.702492 train-auc:1
[293] eval-auc:0.702535 train-auc:1
[294] eval-auc:0.702585 train-auc:1
[295] eval-auc:0.702798 train-auc:1
[296] eval-auc:0.702609 train-auc:1
[297] eval-auc:0.702524 train-auc:1
[298] eval-auc:0.702494 train-auc:1
[299] eval-auc:0.702585 train-auc:1
[300] eval-auc:0.702739 train-auc:1
[301] eval-auc:0.702555 train-auc:1
[302] eval-auc:0.702602 train-auc:1
[303] eval-auc:0.702375 train-auc:1
[304] eval-auc:0.702314 train-auc:1
[305] eval-auc:0.701903 train-auc:1
[306] eval-auc:0.701935 train-auc:1
[307] eval-auc:0.701801 train-auc:1
[308] eval-auc:0.70156 train-auc:1
[309] eval-auc:0.701652 train-auc:1
[310] eval-auc:0.701691 train-auc:1
[311] eval-auc:0.701716 train-auc:1
[312] eval-auc:0.701645 train-auc:1
[313] eval-auc:0.701808 train-auc:1
[314] eval-auc:0.701737 train-auc:1
[315] eval-auc:0.70162 train-auc:1
[316] eval-auc:0.701446 train-auc:1
[317] eval-auc:0.701306 train-auc:1
[318] eval-auc:0.701227 train-auc:1
[319] eval-auc:0.701134 train-auc:1
[320] eval-auc:0.701167 train-auc:1
[321] eval-auc:0.701263 train-auc:1
[322] eval-auc:0.70128 train-auc:1
[323] eval-auc:0.701196 train-auc:1
[324] eval-auc:0.701285 train-auc:1
[325] eval-auc:0.701318 train-auc:1
[326] eval-auc:0.701347 train-auc:1
[327] eval-auc:0.701099 train-auc:1
[328] eval-auc:0.700982 train-auc:1
[329] eval-auc:0.700898 train-auc:1
[330] eval-auc:0.700573 train-auc:1
[331] eval-auc:0.700612 train-auc:1
[332] eval-auc:0.700526 train-auc:1
[333] eval-auc:0.700222 train-auc:1
[334] eval-auc:0.700321 train-auc:1
[335] eval-auc:0.700479 train-auc:1
[336] eval-auc:0.700368 train-auc:1
[337] eval-auc:0.700205 train-auc:1
[338] eval-auc:0.700196 train-auc:1
[339] eval-auc:0.700222 train-auc:1
[340] eval-auc:0.700015 train-auc:1
[341] eval-auc:0.700147 train-auc:1
[342] eval-auc:0.700175 train-auc:1
[343] eval-auc:0.700132 train-auc:1
[344] eval-auc:0.700184 train-auc:1
[345] eval-auc:0.700365 train-auc:1
[346] eval-auc:0.700379 train-auc:1
[347] eval-auc:0.700506 train-auc:1
[348] eval-auc:0.700487 train-auc:1
[349] eval-auc:0.700444 train-auc:1
[350] eval-auc:0.700304 train-auc:1
[351] eval-auc:0.700237 train-auc:1
[352] eval-auc:0.70045 train-auc:1
[353] eval-auc:0.700806 train-auc:1
[354] eval-auc:0.700753 train-auc:1
[355] eval-auc:0.700456 train-auc:1
[356] eval-auc:0.700286 train-auc:1
[357] eval-auc:0.700112 train-auc:1
[358] eval-auc:0.70006 train-auc:1
[359] eval-auc:0.700188 train-auc:1
[360] eval-auc:0.700299 train-auc:1
[361] eval-auc:0.700408 train-auc:1
[362] eval-auc:0.700589 train-auc:1
[363] eval-auc:0.700615 train-auc:1
[364] eval-auc:0.700514 train-auc:1
[365] eval-auc:0.700363 train-auc:1
[366] eval-auc:0.700277 train-auc:1
[367] eval-auc:0.700302 train-auc:1
[368] eval-auc:0.699937 train-auc:1
[369] eval-auc:0.699785 train-auc:1
[370] eval-auc:0.699852 train-auc:1
[371] eval-auc:0.699801 train-auc:1
[372] eval-auc:0.699897 train-auc:1
[373] eval-auc:0.69997 train-auc:1
[374] eval-auc:0.700133 train-auc:1
[375] eval-auc:0.700098 train-auc:1
[376] eval-auc:0.700275 train-auc:1
[377] eval-auc:0.700251 train-auc:1
[378] eval-auc:0.700168 train-auc:1
[379] eval-auc:0.700185 train-auc:1
[380] eval-auc:0.699884 train-auc:1
[381] eval-auc:0.699896 train-auc:1
[382] eval-auc:0.699791 train-auc:1
[383] eval-auc:0.699876 train-auc:1
[384] eval-auc:0.700269 train-auc:1
[385] eval-auc:0.700289 train-auc:1
[386] eval-auc:0.700344 train-auc:1
[387] eval-auc:0.700462 train-auc:1
[388] eval-auc:0.700423 train-auc:1
[389] eval-auc:0.700444 train-auc:1
[390] eval-auc:0.700415 train-auc:1
[391] eval-auc:0.70035 train-auc:1
[392] eval-auc:0.700129 train-auc:1
[393] eval-auc:0.700033 train-auc:1
[394] eval-auc:0.700051 train-auc:1
[395] eval-auc:0.700059 train-auc:1
[396] eval-auc:0.700021 train-auc:1
[397] eval-auc:0.699992 train-auc:1
[398] eval-auc:0.699896 train-auc:1
[399] eval-auc:0.699902 train-auc:1
[400] eval-auc:0.699899 train-auc:1
[401] eval-auc:0.700016 train-auc:1
[402] eval-auc:0.700007 train-auc:1
[403] eval-auc:0.699949 train-auc:1
[404] eval-auc:0.699949 train-auc:1
[405] eval-auc:0.699982 train-auc:1
[406] eval-auc:0.700015 train-auc:1
[407] eval-auc:0.699932 train-auc:1
[408] eval-auc:0.699983 train-auc:1
[409] eval-auc:0.699998 train-auc:1
[410] eval-auc:0.700007 train-auc:1
[411] eval-auc:0.699942 train-auc:1
[412] eval-auc:0.699897 train-auc:1
[413] eval-auc:0.699433 train-auc:1
[414] eval-auc:0.699419 train-auc:1
[415] eval-auc:0.699535 train-auc:1
[416] eval-auc:0.699544 train-auc:1
[417] eval-auc:0.69943 train-auc:1
[418] eval-auc:0.699349 train-auc:1
[419] eval-auc:0.69941 train-auc:1
[420] eval-auc:0.699485 train-auc:1
[421] eval-auc:0.699692 train-auc:1
[422] eval-auc:0.699762 train-auc:1
[423] eval-auc:0.699699 train-auc:1
[424] eval-auc:0.699561 train-auc:1
[425] eval-auc:0.699619 train-auc:1
[426] eval-auc:0.699459 train-auc:1
[427] eval-auc:0.69939 train-auc:1
[428] eval-auc:0.699411 train-auc:1
[429] eval-auc:0.699408 train-auc:1
[430] eval-auc:0.699364 train-auc:1
[431] eval-auc:0.69939 train-auc:1
[432] eval-auc:0.699392 train-auc:1
[433] eval-auc:0.699386 train-auc:1
[434] eval-auc:0.699398 train-auc:1
[435] eval-auc:0.699419 train-auc:1
[436] eval-auc:0.699163 train-auc:1
[437] eval-auc:0.699159 train-auc:1
[438] eval-auc:0.699069 train-auc:1
[439] eval-auc:0.699069 train-auc:1
[440] eval-auc:0.699165 train-auc:1
[441] eval-auc:0.699369 train-auc:1
[442] eval-auc:0.699348 train-auc:1
[443] eval-auc:0.699338 train-auc:1
[444] eval-auc:0.699288 train-auc:1
[445] eval-auc:0.699325 train-auc:1
[446] eval-auc:0.699334 train-auc:1
[447] eval-auc:0.699367 train-auc:1
[448] eval-auc:0.699314 train-auc:1
[449] eval-auc:0.699225 train-auc:1
[450] eval-auc:0.699182 train-auc:1
[451] eval-auc:0.699241 train-auc:1
[452] eval-auc:0.699083 train-auc:1
[453] eval-auc:0.698906 train-auc:1
[454] eval-auc:0.699 train-auc:1
[455] eval-auc:0.698952 train-auc:1
[456] eval-auc:0.698819 train-auc:1
[457] eval-auc:0.698655 train-auc:1
[458] eval-auc:0.698461 train-auc:1
[459] eval-auc:0.698495 train-auc:1
[460] eval-auc:0.698446 train-auc:1
[461] eval-auc:0.69846 train-auc:1
[462] eval-auc:0.698536 train-auc:1
[463] eval-auc:0.698495 train-auc:1
[464] eval-auc:0.698419 train-auc:1
[465] eval-auc:0.698534 train-auc:1
[466] eval-auc:0.698442 train-auc:1
[467] eval-auc:0.69849 train-auc:1
[468] eval-auc:0.69849 train-auc:1
[469] eval-auc:0.698372 train-auc:1
[470] eval-auc:0.698119 train-auc:1
[471] eval-auc:0.697829 train-auc:1
[472] eval-auc:0.697845 train-auc:1
[473] eval-auc:0.697924 train-auc:1
[474] eval-auc:0.697671 train-auc:1
[475] eval-auc:0.697648 train-auc:1
[476] eval-auc:0.697624 train-auc:1
[477] eval-auc:0.697753 train-auc:1
[478] eval-auc:0.697794 train-auc:1
[479] eval-auc:0.697691 train-auc:1
[480] eval-auc:0.697737 train-auc:1
[481] eval-auc:0.697942 train-auc:1
[482] eval-auc:0.697909 train-auc:1
[483] eval-auc:0.697973 train-auc:1
[484] eval-auc:0.697997 train-auc:1
[485] eval-auc:0.697956 train-auc:1
[486] eval-auc:0.697956 train-auc:1
[487] eval-auc:0.697962 train-auc:1
[488] eval-auc:0.697965 train-auc:1
[489] eval-auc:0.698052 train-auc:1
[490] eval-auc:0.697968 train-auc:1
[491] eval-auc:0.698018 train-auc:1
[492] eval-auc:0.697982 train-auc:1
[493] eval-auc:0.697968 train-auc:1
[494] eval-auc:0.697977 train-auc:1
[495] eval-auc:0.697986 train-auc:1
[496] eval-auc:0.698213 train-auc:1
[497] eval-auc:0.698317 train-auc:1
[498] eval-auc:0.698245 train-auc:1
[499] eval-auc:0.698262 train-auc:1
[500] eval-auc:0.698262 train-auc:1
[501] eval-auc:0.698189 train-auc:1
[502] eval-auc:0.698154 train-auc:1
[503] eval-auc:0.698136 train-auc:1
[504] eval-auc:0.697842 train-auc:1
Score 0.6978416718439743
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 1.0, 'eta': 0.07500000000000001, 'eval_metric': 'auc', 'gamma': 1.0, 'max_depth': 5, 'min_child_weight': 3.0, 'n_estimators': 176.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9, 'tree_method': 'exact'}
[0] eval-auc:0.700749 train-auc:0.75302
[1] eval-auc:0.689334 train-auc:0.778896
[2] eval-auc:0.699456 train-auc:0.794225
[3] eval-auc:0.706299 train-auc:0.804666
[4] eval-auc:0.711498 train-auc:0.808466
[5] eval-auc:0.711756 train-auc:0.820062
[6] eval-auc:0.712019 train-auc:0.82698
[7] eval-auc:0.713131 train-auc:0.828258
[8] eval-auc:0.716272 train-auc:0.83537
[9] eval-auc:0.713716 train-auc:0.839321
[10] eval-auc:0.709373 train-auc:0.841491
[11] eval-auc:0.710046 train-auc:0.842951
[12] eval-auc:0.70962 train-auc:0.847324
[13] eval-auc:0.707689 train-auc:0.853745
[14] eval-auc:0.706986 train-auc:0.855893
[15] eval-auc:0.706572 train-auc:0.856622
[16] eval-auc:0.706367 train-auc:0.862204
[17] eval-auc:0.706646 train-auc:0.866271
[18] eval-auc:0.707272 train-auc:0.8678
[19] eval-auc:0.707612 train-auc:0.868984
[20] eval-auc:0.707935 train-auc:0.872397
[21] eval-auc:0.709172 train-auc:0.875826
[22] eval-auc:0.708795 train-auc:0.87855
[23] eval-auc:0.706046 train-auc:0.882248
[24] eval-auc:0.707531 train-auc:0.886173
[25] eval-auc:0.707187 train-auc:0.888753
[26] eval-auc:0.708 train-auc:0.891729
[27] eval-auc:0.706844 train-auc:0.893981
[28] eval-auc:0.705102 train-auc:0.894132
[29] eval-auc:0.704619 train-auc:0.89605
[30] eval-auc:0.706037 train-auc:0.897849
[31] eval-auc:0.705618 train-auc:0.899191
[32] eval-auc:0.705602 train-auc:0.90075
[33] eval-auc:0.703927 train-auc:0.90254
[34] eval-auc:0.703857 train-auc:0.90509
[35] eval-auc:0.703275 train-auc:0.906109
[36] eval-auc:0.705029 train-auc:0.908849
[37] eval-auc:0.705792 train-auc:0.911856
[38] eval-auc:0.706434 train-auc:0.912448
[39] eval-auc:0.705813 train-auc:0.912748
[40] eval-auc:0.705387 train-auc:0.913497
[41] eval-auc:0.705005 train-auc:0.915565
[42] eval-auc:0.704379 train-auc:0.916886
[43] eval-auc:0.703701 train-auc:0.91773
[44] eval-auc:0.703664 train-auc:0.918076
[45] eval-auc:0.704189 train-auc:0.91842
[46] eval-auc:0.706099 train-auc:0.919872
[47] eval-auc:0.70591 train-auc:0.920684
[48] eval-auc:0.705747 train-auc:0.923156
[49] eval-auc:0.706651 train-auc:0.926778
[50] eval-auc:0.707023 train-auc:0.926126
[51] eval-auc:0.706613 train-auc:0.926376
[52] eval-auc:0.707931 train-auc:0.927665
[53] eval-auc:0.708071 train-auc:0.929744
[54] eval-auc:0.70906 train-auc:0.930694
[55] eval-auc:0.708815 train-auc:0.931013
[56] eval-auc:0.709988 train-auc:0.931615
[57] eval-auc:0.710072 train-auc:0.931484
[58] eval-auc:0.709791 train-auc:0.932064
[59] eval-auc:0.710496 train-auc:0.933195
[60] eval-auc:0.710906 train-auc:0.933389
[61] eval-auc:0.710422 train-auc:0.934519
[62] eval-auc:0.710068 train-auc:0.935132
[63] eval-auc:0.710068 train-auc:0.936374
[64] eval-auc:0.709071 train-auc:0.937677
[65] eval-auc:0.709097 train-auc:0.937596
[66] eval-auc:0.709903 train-auc:0.938347
[67] eval-auc:0.709963 train-auc:0.938309
[68] eval-auc:0.710405 train-auc:0.939289
[69] eval-auc:0.710378 train-auc:0.941353
[70] eval-auc:0.7093 train-auc:0.942693
[71] eval-auc:0.708482 train-auc:0.943442
[72] eval-auc:0.708069 train-auc:0.944682
[73] eval-auc:0.707877 train-auc:0.944627
[74] eval-auc:0.707775 train-auc:0.946498
[75] eval-auc:0.707953 train-auc:0.947031
[76] eval-auc:0.707844 train-auc:0.947465
[77] eval-auc:0.708266 train-auc:0.948287
[78] eval-auc:0.708425 train-auc:0.949898
[79] eval-auc:0.708577 train-auc:0.950715
[80] eval-auc:0.708333 train-auc:0.95079
[81] eval-auc:0.708757 train-auc:0.952081
[82] eval-auc:0.708528 train-auc:0.952731
[83] eval-auc:0.70854 train-auc:0.952611
[84] eval-auc:0.708842 train-auc:0.953311
[85] eval-auc:0.708524 train-auc:0.954255
[86] eval-auc:0.708299 train-auc:0.954833
[87] eval-auc:0.707814 train-auc:0.955502
[88] eval-auc:0.707867 train-auc:0.956417
[89] eval-auc:0.709084 train-auc:0.957343
[90] eval-auc:0.708426 train-auc:0.957476
[91] eval-auc:0.708259 train-auc:0.957765
[92] eval-auc:0.708151 train-auc:0.958579
[93] eval-auc:0.708726 train-auc:0.959197
[94] eval-auc:0.70941 train-auc:0.959302
[95] eval-auc:0.709352 train-auc:0.959439
[96] eval-auc:0.708518 train-auc:0.959694
[97] eval-auc:0.709227 train-auc:0.960144
[98] eval-auc:0.707481 train-auc:0.961321
[99] eval-auc:0.70731 train-auc:0.961442
[100] eval-auc:0.707388 train-auc:0.96206
[101] eval-auc:0.708021 train-auc:0.962706
[102] eval-auc:0.707741 train-auc:0.962805
[103] eval-auc:0.708268 train-auc:0.964054
[104] eval-auc:0.707825 train-auc:0.964457
[105] eval-auc:0.707535 train-auc:0.965391
[106] eval-auc:0.707118 train-auc:0.965441
[107] eval-auc:0.707793 train-auc:0.965648
[108] eval-auc:0.706937 train-auc:0.966283
[109] eval-auc:0.707784 train-auc:0.966761
[110] eval-auc:0.707875 train-auc:0.966741
[111] eval-auc:0.707524 train-auc:0.967665
[112] eval-auc:0.708155 train-auc:0.96837
[113] eval-auc:0.708394 train-auc:0.969068
[114] eval-auc:0.70874 train-auc:0.970084
[115] eval-auc:0.70867 train-auc:0.970067
[116] eval-auc:0.70865 train-auc:0.970626
[117] eval-auc:0.708862 train-auc:0.971193
[118] eval-auc:0.709475 train-auc:0.971932
[119] eval-auc:0.709402 train-auc:0.972884
[120] eval-auc:0.709754 train-auc:0.973154
[121] eval-auc:0.709964 train-auc:0.973849
[122] eval-auc:0.710614 train-auc:0.974499
[123] eval-auc:0.710681 train-auc:0.975235
[124] eval-auc:0.710435 train-auc:0.975809
[125] eval-auc:0.710793 train-auc:0.976366
[126] eval-auc:0.710614 train-auc:0.976703
[127] eval-auc:0.709553 train-auc:0.977222
[128] eval-auc:0.710159 train-auc:0.977538
[129] eval-auc:0.710043 train-auc:0.977452
[130] eval-auc:0.710362 train-auc:0.977764
[131] eval-auc:0.709635 train-auc:0.978396
[132] eval-auc:0.709862 train-auc:0.978581
[133] eval-auc:0.710002 train-auc:0.978687
[134] eval-auc:0.709905 train-auc:0.978917
[135] eval-auc:0.709622 train-auc:0.979315
[136] eval-auc:0.710199 train-auc:0.979563
[137] eval-auc:0.709903 train-auc:0.979935
[138] eval-auc:0.710429 train-auc:0.980579
[139] eval-auc:0.710432 train-auc:0.980805
[140] eval-auc:0.71089 train-auc:0.981227
[141] eval-auc:0.711013 train-auc:0.981266
[142] eval-auc:0.711184 train-auc:0.981401
[143] eval-auc:0.711026 train-auc:0.981588
[144] eval-auc:0.711205 train-auc:0.981662
[145] eval-auc:0.711607 train-auc:0.981829
[146] eval-auc:0.711359 train-auc:0.982165
[147] eval-auc:0.711206 train-auc:0.982543
[148] eval-auc:0.71091 train-auc:0.98272
[149] eval-auc:0.710525 train-auc:0.983039
[150] eval-auc:0.71071 train-auc:0.983318
[151] eval-auc:0.710654 train-auc:0.983421
[152] eval-auc:0.710397 train-auc:0.983959
[153] eval-auc:0.710348 train-auc:0.98414
[154] eval-auc:0.71066 train-auc:0.98426
[155] eval-auc:0.711184 train-auc:0.984631
[156] eval-auc:0.71166 train-auc:0.984713
[157] eval-auc:0.711539 train-auc:0.9848
[158] eval-auc:0.711329 train-auc:0.984904
[159] eval-auc:0.711414 train-auc:0.985375
[160] eval-auc:0.71154 train-auc:0.98563
[161] eval-auc:0.711421 train-auc:0.985762
[162] eval-auc:0.710878 train-auc:0.986174
[163] eval-auc:0.710931 train-auc:0.98663
[164] eval-auc:0.711452 train-auc:0.986826
[165] eval-auc:0.711511 train-auc:0.986917
[166] eval-auc:0.711645 train-auc:0.987046
[167] eval-auc:0.710493 train-auc:0.987423
[168] eval-auc:0.710346 train-auc:0.987628
[169] eval-auc:0.7102 train-auc:0.987809
[170] eval-auc:0.710356 train-auc:0.98795
[171] eval-auc:0.710572 train-auc:0.988317
[172] eval-auc:0.710234 train-auc:0.988347
[173] eval-auc:0.710231 train-auc:0.988445
[174] eval-auc:0.710712 train-auc:0.988635
[175] eval-auc:0.710253 train-auc:0.988837
Score 0.7102535053417631
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9500000000000001, 'eta': 0.1, 'eval_metric': 'auc', 'gamma': 0.9500000000000001, 'max_depth': 5, 'min_child_weight': 3.0, 'n_estimators': 176.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.8500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.682073 train-auc:0.751262
[1] eval-auc:0.683367 train-auc:0.773581
[2] eval-auc:0.69245 train-auc:0.785014
[3] eval-auc:0.686929 train-auc:0.800779
[4] eval-auc:0.688713 train-auc:0.807598
[5] eval-auc:0.685846 train-auc:0.817352
[6] eval-auc:0.69278 train-auc:0.822263
[7] eval-auc:0.698041 train-auc:0.823644
[8] eval-auc:0.697324 train-auc:0.828517
[9] eval-auc:0.701558 train-auc:0.828964
[10] eval-auc:0.70043 train-auc:0.83827
[11] eval-auc:0.699112 train-auc:0.841948
[12] eval-auc:0.696279 train-auc:0.851135
[13] eval-auc:0.698241 train-auc:0.85121
[14] eval-auc:0.69691 train-auc:0.854559
[15] eval-auc:0.694888 train-auc:0.85993
[16] eval-auc:0.697369 train-auc:0.865115
[17] eval-auc:0.696861 train-auc:0.869915
[18] eval-auc:0.697498 train-auc:0.874052
[19] eval-auc:0.697949 train-auc:0.876929
[20] eval-auc:0.698479 train-auc:0.878811
[21] eval-auc:0.69899 train-auc:0.880908
[22] eval-auc:0.698085 train-auc:0.882722
[23] eval-auc:0.698489 train-auc:0.883818
[24] eval-auc:0.699456 train-auc:0.887142
[25] eval-auc:0.700634 train-auc:0.890756
[26] eval-auc:0.69964 train-auc:0.896246
[27] eval-auc:0.701109 train-auc:0.899419
[28] eval-auc:0.698815 train-auc:0.899475
[29] eval-auc:0.697469 train-auc:0.901948
[30] eval-auc:0.697648 train-auc:0.903426
[31] eval-auc:0.6987 train-auc:0.906088
[32] eval-auc:0.699034 train-auc:0.909591
[33] eval-auc:0.699741 train-auc:0.911056
[34] eval-auc:0.700228 train-auc:0.913032
[35] eval-auc:0.700664 train-auc:0.91285
[36] eval-auc:0.700225 train-auc:0.912883
[37] eval-auc:0.701945 train-auc:0.915587
[38] eval-auc:0.701796 train-auc:0.915824
[39] eval-auc:0.701819 train-auc:0.918149
[40] eval-auc:0.702721 train-auc:0.919059
[41] eval-auc:0.701953 train-auc:0.921844
[42] eval-auc:0.700806 train-auc:0.922398
[43] eval-auc:0.701469 train-auc:0.923342
[44] eval-auc:0.701604 train-auc:0.924164
[45] eval-auc:0.702553 train-auc:0.925255
[46] eval-auc:0.701106 train-auc:0.927881
[47] eval-auc:0.700619 train-auc:0.929517
[48] eval-auc:0.700817 train-auc:0.93027
[49] eval-auc:0.701834 train-auc:0.932343
[50] eval-auc:0.701137 train-auc:0.932371
[51] eval-auc:0.700656 train-auc:0.934339
[52] eval-auc:0.701668 train-auc:0.936287
[53] eval-auc:0.702513 train-auc:0.937722
[54] eval-auc:0.70341 train-auc:0.940907
[55] eval-auc:0.704115 train-auc:0.94339
[56] eval-auc:0.702576 train-auc:0.945265
[57] eval-auc:0.703334 train-auc:0.945794
[58] eval-auc:0.704132 train-auc:0.946066
[59] eval-auc:0.704272 train-auc:0.946688
[60] eval-auc:0.703494 train-auc:0.947564
[61] eval-auc:0.703722 train-auc:0.948476
[62] eval-auc:0.702783 train-auc:0.949375
[63] eval-auc:0.702343 train-auc:0.950751
[64] eval-auc:0.702299 train-auc:0.951022
[65] eval-auc:0.702366 train-auc:0.950819
[66] eval-auc:0.701516 train-auc:0.951782
[67] eval-auc:0.701254 train-auc:0.952695
[68] eval-auc:0.702466 train-auc:0.953521
[69] eval-auc:0.70325 train-auc:0.954363
[70] eval-auc:0.702943 train-auc:0.954946
[71] eval-auc:0.703451 train-auc:0.95578
[72] eval-auc:0.703139 train-auc:0.956617
[73] eval-auc:0.702513 train-auc:0.957579
[74] eval-auc:0.702664 train-auc:0.95832
[75] eval-auc:0.703981 train-auc:0.960263
[76] eval-auc:0.70385 train-auc:0.960895
[77] eval-auc:0.702915 train-auc:0.961428
[78] eval-auc:0.702658 train-auc:0.962209
[79] eval-auc:0.702925 train-auc:0.962636
[80] eval-auc:0.702425 train-auc:0.963584
[81] eval-auc:0.702733 train-auc:0.964009
[82] eval-auc:0.702495 train-auc:0.964874
[83] eval-auc:0.702841 train-auc:0.965161
[84] eval-auc:0.703031 train-auc:0.96595
[85] eval-auc:0.702823 train-auc:0.966329
[86] eval-auc:0.703074 train-auc:0.966867
[87] eval-auc:0.702771 train-auc:0.967595
[88] eval-auc:0.702555 train-auc:0.968315
[89] eval-auc:0.702912 train-auc:0.969478
[90] eval-auc:0.702439 train-auc:0.969812
[91] eval-auc:0.702166 train-auc:0.970093
[92] eval-auc:0.702507 train-auc:0.970375
[93] eval-auc:0.701947 train-auc:0.970819
[94] eval-auc:0.702064 train-auc:0.971145
[95] eval-auc:0.70132 train-auc:0.971612
[96] eval-auc:0.701361 train-auc:0.971641
[97] eval-auc:0.700997 train-auc:0.971787
[98] eval-auc:0.702046 train-auc:0.972433
[99] eval-auc:0.701874 train-auc:0.97252
[100] eval-auc:0.701088 train-auc:0.972716
[101] eval-auc:0.701431 train-auc:0.972958
[102] eval-auc:0.701405 train-auc:0.973504
[103] eval-auc:0.700403 train-auc:0.974334
[104] eval-auc:0.7005 train-auc:0.974817
[105] eval-auc:0.701612 train-auc:0.975536
[106] eval-auc:0.700849 train-auc:0.975577
[107] eval-auc:0.701046 train-auc:0.975794
[108] eval-auc:0.701321 train-auc:0.97568
[109] eval-auc:0.702049 train-auc:0.976312
[110] eval-auc:0.702276 train-auc:0.976369
[111] eval-auc:0.701746 train-auc:0.976779
[112] eval-auc:0.702098 train-auc:0.976843
[113] eval-auc:0.7016 train-auc:0.977393
[114] eval-auc:0.701793 train-auc:0.977813
[115] eval-auc:0.701483 train-auc:0.978041
[116] eval-auc:0.702019 train-auc:0.978311
[117] eval-auc:0.701973 train-auc:0.97869
[118] eval-auc:0.701403 train-auc:0.979116
[119] eval-auc:0.702165 train-auc:0.979657
[120] eval-auc:0.702245 train-auc:0.979743
[121] eval-auc:0.702453 train-auc:0.98007
[122] eval-auc:0.702888 train-auc:0.980334
[123] eval-auc:0.702057 train-auc:0.980684
[124] eval-auc:0.701985 train-auc:0.981262
[125] eval-auc:0.702197 train-auc:0.981876
[126] eval-auc:0.702271 train-auc:0.982263
[127] eval-auc:0.701301 train-auc:0.982635
[128] eval-auc:0.700969 train-auc:0.983082
[129] eval-auc:0.700788 train-auc:0.983444
[130] eval-auc:0.701626 train-auc:0.984253
[131] eval-auc:0.701711 train-auc:0.98438
[132] eval-auc:0.701999 train-auc:0.984324
[133] eval-auc:0.701751 train-auc:0.984586
[134] eval-auc:0.701539 train-auc:0.985133
[135] eval-auc:0.701113 train-auc:0.985551
[136] eval-auc:0.700589 train-auc:0.98576
[137] eval-auc:0.700589 train-auc:0.986048
[138] eval-auc:0.700395 train-auc:0.986771
[139] eval-auc:0.700162 train-auc:0.987093
[140] eval-auc:0.699465 train-auc:0.987425
[141] eval-auc:0.699457 train-auc:0.987427
[142] eval-auc:0.699495 train-auc:0.987471
[143] eval-auc:0.700121 train-auc:0.98756
[144] eval-auc:0.700184 train-auc:0.987675
[145] eval-auc:0.700193 train-auc:0.987739
[146] eval-auc:0.699023 train-auc:0.988047
[147] eval-auc:0.699101 train-auc:0.988191
[148] eval-auc:0.699328 train-auc:0.988479
[149] eval-auc:0.699643 train-auc:0.988562
[150] eval-auc:0.699527 train-auc:0.988588
[151] eval-auc:0.699751 train-auc:0.988604
[152] eval-auc:0.699815 train-auc:0.989073
[153] eval-auc:0.699625 train-auc:0.989072
[154] eval-auc:0.699567 train-auc:0.989601
[155] eval-auc:0.700648 train-auc:0.989861
[156] eval-auc:0.700729 train-auc:0.98995
[157] eval-auc:0.700394 train-auc:0.990039
[158] eval-auc:0.700564 train-auc:0.990233
[159] eval-auc:0.700647 train-auc:0.99031
[160] eval-auc:0.700806 train-auc:0.990344
[161] eval-auc:0.700817 train-auc:0.990593
[162] eval-auc:0.701035 train-auc:0.990799
[163] eval-auc:0.700793 train-auc:0.990904
[164] eval-auc:0.700637 train-auc:0.990964
[165] eval-auc:0.700679 train-auc:0.99104
[166] eval-auc:0.700718 train-auc:0.991131
[167] eval-auc:0.701598 train-auc:0.991506
[168] eval-auc:0.702092 train-auc:0.991513
[169] eval-auc:0.702212 train-auc:0.99156
[170] eval-auc:0.702341 train-auc:0.991568
[171] eval-auc:0.70234 train-auc:0.991579
[172] eval-auc:0.702125 train-auc:0.991625
[173] eval-auc:0.702037 train-auc:0.991687
[174] eval-auc:0.701414 train-auc:0.991874
[175] eval-auc:0.70128 train-auc:0.991976
Score 0.7012800131564522
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9, 'eta': 0.15000000000000002, 'eval_metric': 'auc', 'gamma': 1.0, 'max_depth': 5, 'min_child_weight': 3.0, 'n_estimators': 134.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.8, 'tree_method': 'exact'}
[0] eval-auc:0.692499 train-auc:0.749954
[1] eval-auc:0.687721 train-auc:0.763238
[2] eval-auc:0.689372 train-auc:0.778406
[3] eval-auc:0.692403 train-auc:0.791008
[4] eval-auc:0.699122 train-auc:0.800548
[5] eval-auc:0.695201 train-auc:0.813806
[6] eval-auc:0.700183 train-auc:0.817591
[7] eval-auc:0.703132 train-auc:0.827133
[8] eval-auc:0.706976 train-auc:0.832156
[9] eval-auc:0.700712 train-auc:0.8464
[10] eval-auc:0.701413 train-auc:0.852126
[11] eval-auc:0.703559 train-auc:0.853782
[12] eval-auc:0.700888 train-auc:0.857936
[13] eval-auc:0.702255 train-auc:0.861124
[14] eval-auc:0.70228 train-auc:0.865547
[15] eval-auc:0.706136 train-auc:0.869663
[16] eval-auc:0.705678 train-auc:0.873357
[17] eval-auc:0.705442 train-auc:0.877522
[18] eval-auc:0.702552 train-auc:0.878347
[19] eval-auc:0.699058 train-auc:0.88106
[20] eval-auc:0.700165 train-auc:0.886425
[21] eval-auc:0.701151 train-auc:0.890104
[22] eval-auc:0.702781 train-auc:0.892827
[23] eval-auc:0.700621 train-auc:0.896228
[24] eval-auc:0.702641 train-auc:0.902759
[25] eval-auc:0.704576 train-auc:0.904447
[26] eval-auc:0.703758 train-auc:0.908591
[27] eval-auc:0.702708 train-auc:0.909468
[28] eval-auc:0.704399 train-auc:0.912521
[29] eval-auc:0.704545 train-auc:0.914256
[30] eval-auc:0.70236 train-auc:0.916476
[31] eval-auc:0.702683 train-auc:0.917735
[32] eval-auc:0.703114 train-auc:0.920865
[33] eval-auc:0.703434 train-auc:0.923085
[34] eval-auc:0.702409 train-auc:0.924766
[35] eval-auc:0.702272 train-auc:0.926998
[36] eval-auc:0.704319 train-auc:0.928852
[37] eval-auc:0.704588 train-auc:0.930894
[38] eval-auc:0.704045 train-auc:0.931864
[39] eval-auc:0.703056 train-auc:0.933829
[40] eval-auc:0.701661 train-auc:0.935503
[41] eval-auc:0.702733 train-auc:0.937428
[42] eval-auc:0.702116 train-auc:0.938343
[43] eval-auc:0.700403 train-auc:0.939032
[44] eval-auc:0.701444 train-auc:0.939189
[45] eval-auc:0.701917 train-auc:0.939575
[46] eval-auc:0.700694 train-auc:0.940084
[47] eval-auc:0.701292 train-auc:0.941223
[48] eval-auc:0.69982 train-auc:0.941768
[49] eval-auc:0.698253 train-auc:0.943359
[50] eval-auc:0.700465 train-auc:0.944248
[51] eval-auc:0.698306 train-auc:0.945406
[52] eval-auc:0.697933 train-auc:0.945539
[53] eval-auc:0.699622 train-auc:0.946964
[54] eval-auc:0.700618 train-auc:0.948372
[55] eval-auc:0.700167 train-auc:0.949724
[56] eval-auc:0.700094 train-auc:0.950914
[57] eval-auc:0.699448 train-auc:0.952223
[58] eval-auc:0.699418 train-auc:0.952962
[59] eval-auc:0.699383 train-auc:0.954218
[60] eval-auc:0.69911 train-auc:0.955124
[61] eval-auc:0.698955 train-auc:0.955488
[62] eval-auc:0.699338 train-auc:0.957944
[63] eval-auc:0.697269 train-auc:0.960011
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[65] eval-auc:0.697651 train-auc:0.960925
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[69] eval-auc:0.700965 train-auc:0.964334
[70] eval-auc:0.701061 train-auc:0.964837
[71] eval-auc:0.702201 train-auc:0.965528
[72] eval-auc:0.700336 train-auc:0.966097
[73] eval-auc:0.700525 train-auc:0.966233
[74] eval-auc:0.700147 train-auc:0.967511
[75] eval-auc:0.69985 train-auc:0.968483
[76] eval-auc:0.700347 train-auc:0.969285
[77] eval-auc:0.700123 train-auc:0.969349
[78] eval-auc:0.700369 train-auc:0.970331
[79] eval-auc:0.701726 train-auc:0.971565
[80] eval-auc:0.701904 train-auc:0.972038
[81] eval-auc:0.7031 train-auc:0.973231
[82] eval-auc:0.702413 train-auc:0.973895
[83] eval-auc:0.702762 train-auc:0.974641
[84] eval-auc:0.702748 train-auc:0.975559
[85] eval-auc:0.702692 train-auc:0.976048
[86] eval-auc:0.701234 train-auc:0.976735
[87] eval-auc:0.700088 train-auc:0.977331
[88] eval-auc:0.698775 train-auc:0.978301
[89] eval-auc:0.698303 train-auc:0.978535
[90] eval-auc:0.698067 train-auc:0.978365
[91] eval-auc:0.697989 train-auc:0.978463
[92] eval-auc:0.698044 train-auc:0.979232
[93] eval-auc:0.698684 train-auc:0.979902
[94] eval-auc:0.699004 train-auc:0.980316
[95] eval-auc:0.700002 train-auc:0.980971
[96] eval-auc:0.700187 train-auc:0.981771
[97] eval-auc:0.699981 train-auc:0.982156
[98] eval-auc:0.699747 train-auc:0.982603
[99] eval-auc:0.699974 train-auc:0.982685
[100] eval-auc:0.699042 train-auc:0.982899
[101] eval-auc:0.697829 train-auc:0.983279
[102] eval-auc:0.697549 train-auc:0.983614
[103] eval-auc:0.697845 train-auc:0.984118
[104] eval-auc:0.698361 train-auc:0.984156
[105] eval-auc:0.700094 train-auc:0.985021
[106] eval-auc:0.699026 train-auc:0.985326
[107] eval-auc:0.699195 train-auc:0.985568
[108] eval-auc:0.699147 train-auc:0.985726
[109] eval-auc:0.699537 train-auc:0.985943
[110] eval-auc:0.69929 train-auc:0.986108
[111] eval-auc:0.700024 train-auc:0.986679
[112] eval-auc:0.6999 train-auc:0.986769
[113] eval-auc:0.700878 train-auc:0.987148
[114] eval-auc:0.701486 train-auc:0.987506
[115] eval-auc:0.700591 train-auc:0.987854
[116] eval-auc:0.700205 train-auc:0.988371
[117] eval-auc:0.699843 train-auc:0.98845
[118] eval-auc:0.700025 train-auc:0.988603
[119] eval-auc:0.701275 train-auc:0.988852
[120] eval-auc:0.700992 train-auc:0.988875
[121] eval-auc:0.701213 train-auc:0.989057
[122] eval-auc:0.701099 train-auc:0.98911
[123] eval-auc:0.700395 train-auc:0.989263
[124] eval-auc:0.700872 train-auc:0.98954
[125] eval-auc:0.701804 train-auc:0.989793
[126] eval-auc:0.701007 train-auc:0.990083
[127] eval-auc:0.700622 train-auc:0.99025
[128] eval-auc:0.701208 train-auc:0.99042
[129] eval-auc:0.700809 train-auc:0.990584
[130] eval-auc:0.701168 train-auc:0.990693
[131] eval-auc:0.700755 train-auc:0.990784
[132] eval-auc:0.701272 train-auc:0.990931
[133] eval-auc:0.700022 train-auc:0.991308
Score 0.7000222319677423
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9500000000000001, 'eta': 0.225, 'eval_metric': 'auc', 'gamma': 0.65, 'max_depth': 5, 'min_child_weight': 3.0, 'n_estimators': 305.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.8500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.682073 train-auc:0.751262
[1] eval-auc:0.679163 train-auc:0.773888
[2] eval-auc:0.685017 train-auc:0.787384
[3] eval-auc:0.679739 train-auc:0.808101
[4] eval-auc:0.67914 train-auc:0.824337
[5] eval-auc:0.68619 train-auc:0.833707
[6] eval-auc:0.687823 train-auc:0.842887
[7] eval-auc:0.689025 train-auc:0.846537
[8] eval-auc:0.686817 train-auc:0.852601
[9] eval-auc:0.683217 train-auc:0.859604
[10] eval-auc:0.686168 train-auc:0.869445
[11] eval-auc:0.688028 train-auc:0.870151
[12] eval-auc:0.688535 train-auc:0.871136
[13] eval-auc:0.686956 train-auc:0.878541
[14] eval-auc:0.686824 train-auc:0.884894
[15] eval-auc:0.685442 train-auc:0.887861
[16] eval-auc:0.68492 train-auc:0.889303
[17] eval-auc:0.687776 train-auc:0.891333
[18] eval-auc:0.687846 train-auc:0.893519
[19] eval-auc:0.688363 train-auc:0.896496
[20] eval-auc:0.690341 train-auc:0.900501
[21] eval-auc:0.69295 train-auc:0.90637
[22] eval-auc:0.696091 train-auc:0.912912
[23] eval-auc:0.697625 train-auc:0.918078
[24] eval-auc:0.696314 train-auc:0.920536
[25] eval-auc:0.696776 train-auc:0.924617
[26] eval-auc:0.698828 train-auc:0.926619
[27] eval-auc:0.699498 train-auc:0.929415
[28] eval-auc:0.698871 train-auc:0.932146
[29] eval-auc:0.698708 train-auc:0.933388
[30] eval-auc:0.700277 train-auc:0.936648
[31] eval-auc:0.700331 train-auc:0.937603
[32] eval-auc:0.698361 train-auc:0.940702
[33] eval-auc:0.696706 train-auc:0.943545
[34] eval-auc:0.698967 train-auc:0.944984
[35] eval-auc:0.699672 train-auc:0.946128
[36] eval-auc:0.700194 train-auc:0.94939
[37] eval-auc:0.700548 train-auc:0.951245
[38] eval-auc:0.700394 train-auc:0.953959
[39] eval-auc:0.699751 train-auc:0.957208
[40] eval-auc:0.698358 train-auc:0.95905
[41] eval-auc:0.69631 train-auc:0.960365
[42] eval-auc:0.695748 train-auc:0.961251
[43] eval-auc:0.695417 train-auc:0.961987
[44] eval-auc:0.695331 train-auc:0.962409
[45] eval-auc:0.695365 train-auc:0.964074
[46] eval-auc:0.695787 train-auc:0.965144
[47] eval-auc:0.695536 train-auc:0.965906
[48] eval-auc:0.694822 train-auc:0.967137
[49] eval-auc:0.694391 train-auc:0.967854
[50] eval-auc:0.693442 train-auc:0.968649
[51] eval-auc:0.693683 train-auc:0.971155
[52] eval-auc:0.694338 train-auc:0.97161
[53] eval-auc:0.694519 train-auc:0.972108
[54] eval-auc:0.695089 train-auc:0.973359
[55] eval-auc:0.695382 train-auc:0.974391
[56] eval-auc:0.695298 train-auc:0.975697
[57] eval-auc:0.69476 train-auc:0.976237
[58] eval-auc:0.69426 train-auc:0.977124
[59] eval-auc:0.694719 train-auc:0.978028
[60] eval-auc:0.694236 train-auc:0.978298
[61] eval-auc:0.693388 train-auc:0.978748
[62] eval-auc:0.693344 train-auc:0.979236
[63] eval-auc:0.693911 train-auc:0.979907
[64] eval-auc:0.69338 train-auc:0.980642
[65] eval-auc:0.694304 train-auc:0.980969
[66] eval-auc:0.694035 train-auc:0.981427
[67] eval-auc:0.694175 train-auc:0.982487
[68] eval-auc:0.695946 train-auc:0.983112
[69] eval-auc:0.696733 train-auc:0.983181
[70] eval-auc:0.69682 train-auc:0.983702
[71] eval-auc:0.696942 train-auc:0.984363
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[78] eval-auc:0.694065 train-auc:0.987235
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[80] eval-auc:0.694731 train-auc:0.988699
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[84] eval-auc:0.695162 train-auc:0.989429
[85] eval-auc:0.695047 train-auc:0.989766
[86] eval-auc:0.694458 train-auc:0.989871
[87] eval-auc:0.695175 train-auc:0.989922
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[104] eval-auc:0.693033 train-auc:0.994211
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[109] eval-auc:0.692817 train-auc:0.995431
[110] eval-auc:0.692655 train-auc:0.995453
[111] eval-auc:0.692815 train-auc:0.99543
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[114] eval-auc:0.692843 train-auc:0.995866
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[116] eval-auc:0.692185 train-auc:0.996096
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[118] eval-auc:0.692451 train-auc:0.996228
[119] eval-auc:0.692987 train-auc:0.9963
[120] eval-auc:0.692661 train-auc:0.996354
[121] eval-auc:0.692945 train-auc:0.996426
[122] eval-auc:0.692174 train-auc:0.996517
[123] eval-auc:0.691731 train-auc:0.996669
[124] eval-auc:0.692489 train-auc:0.99684
[125] eval-auc:0.692523 train-auc:0.996886
[126] eval-auc:0.690919 train-auc:0.997054
[127] eval-auc:0.690898 train-auc:0.997084
[128] eval-auc:0.691076 train-auc:0.997161
[129] eval-auc:0.691187 train-auc:0.997186
[130] eval-auc:0.692401 train-auc:0.997324
[131] eval-auc:0.692063 train-auc:0.997329
[132] eval-auc:0.691352 train-auc:0.997623
[133] eval-auc:0.690292 train-auc:0.997712
[134] eval-auc:0.690297 train-auc:0.997788
[135] eval-auc:0.690379 train-auc:0.997847
[136] eval-auc:0.690386 train-auc:0.998037
[137] eval-auc:0.690671 train-auc:0.998215
[138] eval-auc:0.689852 train-auc:0.9983
[139] eval-auc:0.690275 train-auc:0.99845
[140] eval-auc:0.690743 train-auc:0.998583
[141] eval-auc:0.690578 train-auc:0.998572
[142] eval-auc:0.69075 train-auc:0.998571
[143] eval-auc:0.690784 train-auc:0.998634
[144] eval-auc:0.690948 train-auc:0.998641
[145] eval-auc:0.690887 train-auc:0.998648
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[150] eval-auc:0.690453 train-auc:0.998921
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[154] eval-auc:0.691579 train-auc:0.999168
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[156] eval-auc:0.692151 train-auc:0.999207
[157] eval-auc:0.691512 train-auc:0.999228
[158] eval-auc:0.691157 train-auc:0.999236
[159] eval-auc:0.691164 train-auc:0.999262
[160] eval-auc:0.690849 train-auc:0.999248
[161] eval-auc:0.690365 train-auc:0.999311
[162] eval-auc:0.68959 train-auc:0.999305
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[164] eval-auc:0.688789 train-auc:0.999402
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[167] eval-auc:0.690143 train-auc:0.999434
[168] eval-auc:0.6901 train-auc:0.999457
[169] eval-auc:0.689891 train-auc:0.999484
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[184] eval-auc:0.69089 train-auc:0.999691
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[261] eval-auc:0.692774 train-auc:0.999975
[262] eval-auc:0.692993 train-auc:0.999975
[263] eval-auc:0.693217 train-auc:0.999975
[264] eval-auc:0.693447 train-auc:0.999976
[265] eval-auc:0.692969 train-auc:0.999979
[266] eval-auc:0.692588 train-auc:0.999979
[267] eval-auc:0.692307 train-auc:0.999978
[268] eval-auc:0.692125 train-auc:0.999978
[269] eval-auc:0.692197 train-auc:0.999976
[270] eval-auc:0.691975 train-auc:0.999976
[271] eval-auc:0.691984 train-auc:0.999976
[272] eval-auc:0.692185 train-auc:0.999977
[273] eval-auc:0.691725 train-auc:0.999978
[274] eval-auc:0.691697 train-auc:0.999979
[275] eval-auc:0.691244 train-auc:0.999977
[276] eval-auc:0.691274 train-auc:0.999978
[277] eval-auc:0.690514 train-auc:0.999979
[278] eval-auc:0.690651 train-auc:0.999978
[279] eval-auc:0.690793 train-auc:0.999978
[280] eval-auc:0.691075 train-auc:0.999979
[281] eval-auc:0.691535 train-auc:0.999979
[282] eval-auc:0.691137 train-auc:0.999989
[283] eval-auc:0.690915 train-auc:0.999989
[284] eval-auc:0.690883 train-auc:0.999989
[285] eval-auc:0.691335 train-auc:0.999991
[286] eval-auc:0.691804 train-auc:0.99999
[287] eval-auc:0.69181 train-auc:0.999991
[288] eval-auc:0.692351 train-auc:0.99999
[289] eval-auc:0.692459 train-auc:0.999991
[290] eval-auc:0.69246 train-auc:0.999997
[291] eval-auc:0.692888 train-auc:0.999998
[292] eval-auc:0.692399 train-auc:0.999997
[293] eval-auc:0.692307 train-auc:0.999996
[294] eval-auc:0.692789 train-auc:0.999996
[295] eval-auc:0.692715 train-auc:0.999997
[296] eval-auc:0.692666 train-auc:0.999997
[297] eval-auc:0.692459 train-auc:0.999996
[298] eval-auc:0.69227 train-auc:0.999996
[299] eval-auc:0.692089 train-auc:0.999997
[300] eval-auc:0.692381 train-auc:0.999997
[301] eval-auc:0.692818 train-auc:0.999997
[302] eval-auc:0.692709 train-auc:0.999998
[303] eval-auc:0.692832 train-auc:0.999998
[304] eval-auc:0.693117 train-auc:0.999998
Score 0.6931173786987294
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8500000000000001, 'eta': 0.025, 'eval_metric': 'auc', 'gamma': 0.7000000000000001, 'max_depth': 5, 'min_child_weight': 3.0, 'n_estimators': 101.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9, 'tree_method': 'exact'}
[0] eval-auc:0.704918 train-auc:0.742167
[1] eval-auc:0.681953 train-auc:0.767592
[2] eval-auc:0.692476 train-auc:0.775354
[3] eval-auc:0.696062 train-auc:0.793286
[4] eval-auc:0.700761 train-auc:0.796037
[5] eval-auc:0.697565 train-auc:0.806884
[6] eval-auc:0.703306 train-auc:0.80893
[7] eval-auc:0.703017 train-auc:0.810178
[8] eval-auc:0.70839 train-auc:0.817643
[9] eval-auc:0.711705 train-auc:0.823322
[10] eval-auc:0.707959 train-auc:0.829102
[11] eval-auc:0.704681 train-auc:0.833345
[12] eval-auc:0.701065 train-auc:0.829803
[13] eval-auc:0.70295 train-auc:0.831224
[14] eval-auc:0.702664 train-auc:0.827066
[15] eval-auc:0.698337 train-auc:0.828541
[16] eval-auc:0.699546 train-auc:0.832768
[17] eval-auc:0.70001 train-auc:0.83967
[18] eval-auc:0.699338 train-auc:0.839742
[19] eval-auc:0.699386 train-auc:0.839928
[20] eval-auc:0.702249 train-auc:0.840734
[21] eval-auc:0.702711 train-auc:0.845654
[22] eval-auc:0.702171 train-auc:0.846874
[23] eval-auc:0.702213 train-auc:0.847339
[24] eval-auc:0.700916 train-auc:0.852022
[25] eval-auc:0.700151 train-auc:0.853043
[26] eval-auc:0.700366 train-auc:0.854096
[27] eval-auc:0.700277 train-auc:0.857462
[28] eval-auc:0.699299 train-auc:0.854869
[29] eval-auc:0.699056 train-auc:0.854769
[30] eval-auc:0.699691 train-auc:0.857115
[31] eval-auc:0.69823 train-auc:0.859304
[32] eval-auc:0.699808 train-auc:0.861199
[33] eval-auc:0.699222 train-auc:0.861955
[34] eval-auc:0.69801 train-auc:0.863874
[35] eval-auc:0.698241 train-auc:0.865343
[36] eval-auc:0.698572 train-auc:0.86601
[37] eval-auc:0.698556 train-auc:0.865961
[38] eval-auc:0.699842 train-auc:0.866464
[39] eval-auc:0.69939 train-auc:0.866041
[40] eval-auc:0.699245 train-auc:0.865349
[41] eval-auc:0.700038 train-auc:0.865632
[42] eval-auc:0.698954 train-auc:0.865902
[43] eval-auc:0.69954 train-auc:0.867056
[44] eval-auc:0.698792 train-auc:0.868799
[45] eval-auc:0.699318 train-auc:0.868762
[46] eval-auc:0.699385 train-auc:0.870621
[47] eval-auc:0.699236 train-auc:0.8706
[48] eval-auc:0.698832 train-auc:0.871594
[49] eval-auc:0.698669 train-auc:0.873106
[50] eval-auc:0.698568 train-auc:0.873469
[51] eval-auc:0.697612 train-auc:0.874556
[52] eval-auc:0.698224 train-auc:0.874999
[53] eval-auc:0.697746 train-auc:0.875714
[54] eval-auc:0.697167 train-auc:0.878111
[55] eval-auc:0.697283 train-auc:0.879907
[56] eval-auc:0.696617 train-auc:0.880439
[57] eval-auc:0.696494 train-auc:0.880773
[58] eval-auc:0.695667 train-auc:0.88209
[59] eval-auc:0.694399 train-auc:0.883654
[60] eval-auc:0.694752 train-auc:0.884001
[61] eval-auc:0.694846 train-auc:0.884584
[62] eval-auc:0.694132 train-auc:0.885765
[63] eval-auc:0.694387 train-auc:0.886919
[64] eval-auc:0.694747 train-auc:0.888412
[65] eval-auc:0.694655 train-auc:0.888964
[66] eval-auc:0.693808 train-auc:0.890519
[67] eval-auc:0.693931 train-auc:0.890774
[68] eval-auc:0.69287 train-auc:0.8925
[69] eval-auc:0.692941 train-auc:0.892645
[70] eval-auc:0.693024 train-auc:0.893893
[71] eval-auc:0.691885 train-auc:0.894724
[72] eval-auc:0.691605 train-auc:0.895617
[73] eval-auc:0.691268 train-auc:0.896356
[74] eval-auc:0.690886 train-auc:0.89671
[75] eval-auc:0.691037 train-auc:0.897546
[76] eval-auc:0.690947 train-auc:0.89785
[77] eval-auc:0.690554 train-auc:0.898295
[78] eval-auc:0.690274 train-auc:0.899942
[79] eval-auc:0.69101 train-auc:0.900375
[80] eval-auc:0.690233 train-auc:0.901297
[81] eval-auc:0.690166 train-auc:0.902167
[82] eval-auc:0.689917 train-auc:0.902378
[83] eval-auc:0.690198 train-auc:0.902374
[84] eval-auc:0.690431 train-auc:0.903092
[85] eval-auc:0.690138 train-auc:0.903135
[86] eval-auc:0.690144 train-auc:0.903654
[87] eval-auc:0.689998 train-auc:0.903879
[88] eval-auc:0.690563 train-auc:0.904417
[89] eval-auc:0.690664 train-auc:0.905005
[90] eval-auc:0.689893 train-auc:0.905478
[91] eval-auc:0.689869 train-auc:0.905941
[92] eval-auc:0.689949 train-auc:0.906673
[93] eval-auc:0.689365 train-auc:0.907525
[94] eval-auc:0.689887 train-auc:0.908585
[95] eval-auc:0.690303 train-auc:0.90906
[96] eval-auc:0.690607 train-auc:0.909508
[97] eval-auc:0.690705 train-auc:0.9101
[98] eval-auc:0.690122 train-auc:0.910864
[99] eval-auc:0.69012 train-auc:0.911524
[100] eval-auc:0.690371 train-auc:0.91253
Score 0.6903711215875452
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 1.0, 'eta': 0.125, 'eval_metric': 'auc', 'gamma': 0.9500000000000001, 'max_depth': 12, 'min_child_weight': 3.0, 'n_estimators': 266.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9, 'tree_method': 'exact'}
[0] eval-auc:0.700913 train-auc:0.889586
[1] eval-auc:0.710745 train-auc:0.931848
[2] eval-auc:0.704027 train-auc:0.957711
[3] eval-auc:0.707463 train-auc:0.972427
[4] eval-auc:0.710455 train-auc:0.980225
[5] eval-auc:0.71126 train-auc:0.984148
[6] eval-auc:0.708384 train-auc:0.989003
[7] eval-auc:0.708632 train-auc:0.991279
[8] eval-auc:0.709394 train-auc:0.992271
[9] eval-auc:0.706811 train-auc:0.993822
[10] eval-auc:0.703451 train-auc:0.995194
[11] eval-auc:0.701292 train-auc:0.996208
[12] eval-auc:0.703598 train-auc:0.997333
[13] eval-auc:0.705553 train-auc:0.997919
[14] eval-auc:0.705859 train-auc:0.998705
[15] eval-auc:0.705308 train-auc:0.999032
[16] eval-auc:0.706564 train-auc:0.999307
[17] eval-auc:0.707325 train-auc:0.999422
[18] eval-auc:0.706492 train-auc:0.999448
[19] eval-auc:0.706428 train-auc:0.999615
[20] eval-auc:0.706208 train-auc:0.999743
[21] eval-auc:0.706096 train-auc:0.999856
[22] eval-auc:0.706893 train-auc:0.999895
[23] eval-auc:0.706011 train-auc:0.999924
[24] eval-auc:0.70535 train-auc:0.999945
[25] eval-auc:0.703828 train-auc:0.99994
[26] eval-auc:0.703348 train-auc:0.999956
[27] eval-auc:0.703319 train-auc:0.999956
[28] eval-auc:0.703805 train-auc:0.99996
[29] eval-auc:0.70313 train-auc:0.999969
[30] eval-auc:0.702019 train-auc:0.999969
[31] eval-auc:0.702157 train-auc:0.999976
[32] eval-auc:0.702022 train-auc:0.999975
[33] eval-auc:0.700677 train-auc:0.999977
[34] eval-auc:0.701863 train-auc:0.999985
[35] eval-auc:0.70206 train-auc:0.999986
[36] eval-auc:0.702404 train-auc:0.999984
[37] eval-auc:0.702503 train-auc:0.999988
[38] eval-auc:0.701339 train-auc:0.999989
[39] eval-auc:0.700835 train-auc:0.999991
[40] eval-auc:0.699214 train-auc:0.999994
[41] eval-auc:0.699524 train-auc:0.999994
[42] eval-auc:0.69881 train-auc:0.999994
[43] eval-auc:0.700027 train-auc:0.999995
[44] eval-auc:0.700767 train-auc:0.999995
[45] eval-auc:0.701709 train-auc:0.999994
[46] eval-auc:0.701511 train-auc:0.999996
[47] eval-auc:0.702504 train-auc:0.999997
[48] eval-auc:0.70343 train-auc:0.999997
[49] eval-auc:0.702548 train-auc:0.999997
[50] eval-auc:0.702442 train-auc:0.999997
[51] eval-auc:0.702579 train-auc:0.999997
[52] eval-auc:0.702498 train-auc:0.999998
[53] eval-auc:0.702326 train-auc:0.999998
[54] eval-auc:0.703509 train-auc:0.999998
[55] eval-auc:0.703235 train-auc:0.999998
[56] eval-auc:0.703715 train-auc:0.999999
[57] eval-auc:0.703421 train-auc:0.999999
[58] eval-auc:0.704286 train-auc:1
[59] eval-auc:0.703939 train-auc:1
[60] eval-auc:0.704324 train-auc:1
[61] eval-auc:0.704775 train-auc:0.999999
[62] eval-auc:0.704484 train-auc:1
[63] eval-auc:0.704866 train-auc:1
[64] eval-auc:0.70423 train-auc:1
[65] eval-auc:0.704036 train-auc:1
[66] eval-auc:0.704222 train-auc:1
[67] eval-auc:0.704507 train-auc:1
[68] eval-auc:0.704338 train-auc:1
[69] eval-auc:0.704496 train-auc:1
[70] eval-auc:0.70475 train-auc:1
[71] eval-auc:0.704108 train-auc:1
[72] eval-auc:0.703523 train-auc:1
[73] eval-auc:0.703768 train-auc:1
[74] eval-auc:0.704195 train-auc:1
[75] eval-auc:0.704094 train-auc:1
[76] eval-auc:0.703467 train-auc:1
[77] eval-auc:0.703556 train-auc:1
[78] eval-auc:0.703354 train-auc:1
[79] eval-auc:0.7031 train-auc:1
[80] eval-auc:0.703321 train-auc:1
[81] eval-auc:0.703923 train-auc:1
[82] eval-auc:0.704749 train-auc:1
[83] eval-auc:0.704583 train-auc:1
[84] eval-auc:0.704409 train-auc:1
[85] eval-auc:0.704242 train-auc:1
[86] eval-auc:0.703404 train-auc:1
[87] eval-auc:0.703911 train-auc:1
[88] eval-auc:0.703951 train-auc:1
[89] eval-auc:0.704455 train-auc:1
[90] eval-auc:0.704344 train-auc:1
[91] eval-auc:0.704348 train-auc:1
[92] eval-auc:0.704424 train-auc:1
[93] eval-auc:0.704819 train-auc:1
[94] eval-auc:0.704802 train-auc:1
[95] eval-auc:0.70555 train-auc:1
[96] eval-auc:0.705143 train-auc:1
[97] eval-auc:0.705675 train-auc:1
[98] eval-auc:0.705778 train-auc:1
[99] eval-auc:0.705783 train-auc:1
[100] eval-auc:0.705186 train-auc:1
[101] eval-auc:0.704478 train-auc:1
[102] eval-auc:0.703892 train-auc:1
[103] eval-auc:0.703864 train-auc:1
[104] eval-auc:0.703619 train-auc:1
[105] eval-auc:0.704054 train-auc:1
[106] eval-auc:0.703856 train-auc:1
[107] eval-auc:0.703888 train-auc:1
[108] eval-auc:0.703738 train-auc:1
[109] eval-auc:0.703316 train-auc:1
[110] eval-auc:0.703175 train-auc:1
[111] eval-auc:0.703034 train-auc:1
[112] eval-auc:0.702987 train-auc:1
[113] eval-auc:0.703191 train-auc:1
[114] eval-auc:0.702969 train-auc:1
[115] eval-auc:0.70239 train-auc:1
[116] eval-auc:0.701821 train-auc:1
[117] eval-auc:0.701518 train-auc:1
[118] eval-auc:0.701396 train-auc:1
[119] eval-auc:0.701814 train-auc:1
[120] eval-auc:0.702329 train-auc:1
[121] eval-auc:0.702792 train-auc:1
[122] eval-auc:0.702999 train-auc:1
[123] eval-auc:0.703369 train-auc:1
[124] eval-auc:0.703378 train-auc:1
[125] eval-auc:0.703002 train-auc:1
[126] eval-auc:0.703158 train-auc:1
[127] eval-auc:0.702897 train-auc:1
[128] eval-auc:0.703066 train-auc:1
[129] eval-auc:0.703002 train-auc:1
[130] eval-auc:0.702178 train-auc:1
[131] eval-auc:0.702667 train-auc:1
[132] eval-auc:0.702635 train-auc:1
[133] eval-auc:0.702425 train-auc:1
[134] eval-auc:0.702533 train-auc:1
[135] eval-auc:0.702448 train-auc:1
[136] eval-auc:0.702261 train-auc:1
[137] eval-auc:0.702322 train-auc:1
[138] eval-auc:0.702195 train-auc:1
[139] eval-auc:0.702009 train-auc:1
[140] eval-auc:0.701606 train-auc:1
[141] eval-auc:0.701674 train-auc:1
[142] eval-auc:0.701339 train-auc:1
[143] eval-auc:0.701397 train-auc:1
[144] eval-auc:0.701627 train-auc:1
[145] eval-auc:0.701307 train-auc:1
[146] eval-auc:0.701719 train-auc:1
[147] eval-auc:0.701431 train-auc:1
[148] eval-auc:0.701971 train-auc:1
[149] eval-auc:0.702017 train-auc:1
[150] eval-auc:0.701895 train-auc:1
[151] eval-auc:0.701897 train-auc:1
[152] eval-auc:0.701732 train-auc:1
[153] eval-auc:0.701492 train-auc:1
[154] eval-auc:0.701496 train-auc:1
[155] eval-auc:0.701525 train-auc:1
[156] eval-auc:0.701437 train-auc:1
[157] eval-auc:0.701464 train-auc:1
[158] eval-auc:0.701393 train-auc:1
[159] eval-auc:0.70109 train-auc:1
[160] eval-auc:0.700761 train-auc:1
[161] eval-auc:0.701218 train-auc:1
[162] eval-auc:0.700921 train-auc:1
[163] eval-auc:0.70095 train-auc:1
[164] eval-auc:0.701128 train-auc:1
[165] eval-auc:0.701073 train-auc:1
[166] eval-auc:0.70095 train-auc:1
[167] eval-auc:0.700692 train-auc:1
[168] eval-auc:0.700752 train-auc:1
[169] eval-auc:0.700695 train-auc:1
[170] eval-auc:0.700848 train-auc:1
[171] eval-auc:0.70107 train-auc:1
[172] eval-auc:0.700758 train-auc:1
[173] eval-auc:0.700881 train-auc:1
[174] eval-auc:0.701126 train-auc:1
[175] eval-auc:0.701096 train-auc:1
[176] eval-auc:0.701204 train-auc:1
[177] eval-auc:0.701082 train-auc:1
[178] eval-auc:0.701007 train-auc:1
[179] eval-auc:0.700908 train-auc:1
[180] eval-auc:0.700908 train-auc:1
[181] eval-auc:0.701385 train-auc:1
[182] eval-auc:0.701323 train-auc:1
[183] eval-auc:0.701633 train-auc:1
[184] eval-auc:0.701833 train-auc:1
[185] eval-auc:0.701811 train-auc:1
[186] eval-auc:0.702003 train-auc:1
[187] eval-auc:0.702066 train-auc:1
[188] eval-auc:0.70199 train-auc:1
[189] eval-auc:0.702244 train-auc:1
[190] eval-auc:0.702061 train-auc:1
[191] eval-auc:0.701749 train-auc:1
[192] eval-auc:0.701492 train-auc:1
[193] eval-auc:0.701076 train-auc:1
[194] eval-auc:0.701254 train-auc:1
[195] eval-auc:0.701309 train-auc:1
[196] eval-auc:0.701508 train-auc:1
[197] eval-auc:0.702026 train-auc:1
[198] eval-auc:0.701892 train-auc:1
[199] eval-auc:0.701821 train-auc:1
[200] eval-auc:0.70195 train-auc:1
[201] eval-auc:0.70213 train-auc:1
[202] eval-auc:0.70243 train-auc:1
[203] eval-auc:0.702909 train-auc:1
[204] eval-auc:0.70313 train-auc:1
[205] eval-auc:0.702801 train-auc:1
[206] eval-auc:0.702701 train-auc:1
[207] eval-auc:0.703028 train-auc:1
[208] eval-auc:0.703028 train-auc:1
[209] eval-auc:0.703014 train-auc:1
[210] eval-auc:0.702746 train-auc:1
[211] eval-auc:0.702762 train-auc:1
[212] eval-auc:0.702979 train-auc:1
[213] eval-auc:0.70303 train-auc:1
[214] eval-auc:0.702855 train-auc:1
[215] eval-auc:0.702931 train-auc:1
[216] eval-auc:0.702973 train-auc:1
[217] eval-auc:0.702947 train-auc:1
[218] eval-auc:0.70295 train-auc:1
[219] eval-auc:0.702786 train-auc:1
[220] eval-auc:0.70294 train-auc:1
[221] eval-auc:0.70253 train-auc:1
[222] eval-auc:0.702439 train-auc:1
[223] eval-auc:0.702649 train-auc:1
[224] eval-auc:0.702856 train-auc:1
[225] eval-auc:0.703287 train-auc:1
[226] eval-auc:0.703176 train-auc:1
[227] eval-auc:0.703179 train-auc:1
[228] eval-auc:0.703118 train-auc:1
[229] eval-auc:0.703022 train-auc:1
[230] eval-auc:0.702922 train-auc:1
[231] eval-auc:0.702926 train-auc:1
[232] eval-auc:0.702984 train-auc:1
[233] eval-auc:0.703161 train-auc:1
[234] eval-auc:0.703112 train-auc:1
[235] eval-auc:0.703112 train-auc:1
[236] eval-auc:0.70294 train-auc:1
[237] eval-auc:0.70294 train-auc:1
[238] eval-auc:0.702612 train-auc:1
[239] eval-auc:0.702848 train-auc:1
[240] eval-auc:0.702794 train-auc:1
[241] eval-auc:0.702632 train-auc:1
[242] eval-auc:0.702402 train-auc:1
[243] eval-auc:0.702111 train-auc:1
[244] eval-auc:0.701959 train-auc:1
[245] eval-auc:0.701799 train-auc:1
[246] eval-auc:0.702012 train-auc:1
[247] eval-auc:0.702012 train-auc:1
[248] eval-auc:0.701971 train-auc:1
[249] eval-auc:0.701955 train-auc:1
[250] eval-auc:0.702026 train-auc:1
[251] eval-auc:0.702262 train-auc:1
[252] eval-auc:0.702299 train-auc:1
[253] eval-auc:0.702379 train-auc:1
[254] eval-auc:0.702311 train-auc:1
[255] eval-auc:0.702389 train-auc:1
[256] eval-auc:0.702478 train-auc:1
[257] eval-auc:0.702478 train-auc:1
[258] eval-auc:0.702357 train-auc:1
[259] eval-auc:0.702357 train-auc:1
[260] eval-auc:0.702378 train-auc:1
[261] eval-auc:0.702384 train-auc:1
[262] eval-auc:0.702384 train-auc:1
[263] eval-auc:0.702189 train-auc:1
[264] eval-auc:0.702083 train-auc:1
[265] eval-auc:0.702114 train-auc:1
Score 0.7021144733155477
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.75, 'eta': 0.07500000000000001, 'eval_metric': 'auc', 'gamma': 1.0, 'max_depth': 2, 'min_child_weight': 4.0, 'n_estimators': 173.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.8500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.669357 train-auc:0.684642
[1] eval-auc:0.666827 train-auc:0.693246
[2] eval-auc:0.67557 train-auc:0.696052
[3] eval-auc:0.671489 train-auc:0.704613
[4] eval-auc:0.690398 train-auc:0.710807
[5] eval-auc:0.692889 train-auc:0.709219
[6] eval-auc:0.693945 train-auc:0.710104
[7] eval-auc:0.688164 train-auc:0.714021
[8] eval-auc:0.69559 train-auc:0.711006
[9] eval-auc:0.697906 train-auc:0.712174
[10] eval-auc:0.696736 train-auc:0.711385
[11] eval-auc:0.698661 train-auc:0.711966
[12] eval-auc:0.69792 train-auc:0.711482
[13] eval-auc:0.699272 train-auc:0.713518
[14] eval-auc:0.698913 train-auc:0.714093
[15] eval-auc:0.699636 train-auc:0.714037
[16] eval-auc:0.696135 train-auc:0.71479
[17] eval-auc:0.699444 train-auc:0.715798
[18] eval-auc:0.701511 train-auc:0.717937
[19] eval-auc:0.69911 train-auc:0.716235
[20] eval-auc:0.699319 train-auc:0.715613
[21] eval-auc:0.699007 train-auc:0.715465
[22] eval-auc:0.699823 train-auc:0.715822
[23] eval-auc:0.699546 train-auc:0.716157
[24] eval-auc:0.702295 train-auc:0.718301
[25] eval-auc:0.700333 train-auc:0.717493
[26] eval-auc:0.701626 train-auc:0.718935
[27] eval-auc:0.699978 train-auc:0.71768
[28] eval-auc:0.700936 train-auc:0.718466
[29] eval-auc:0.700685 train-auc:0.719435
[30] eval-auc:0.699643 train-auc:0.719673
[31] eval-auc:0.699592 train-auc:0.718399
[32] eval-auc:0.700254 train-auc:0.719152
[33] eval-auc:0.699846 train-auc:0.718565
[34] eval-auc:0.699776 train-auc:0.718377
[35] eval-auc:0.701065 train-auc:0.719294
[36] eval-auc:0.701406 train-auc:0.720113
[37] eval-auc:0.701297 train-auc:0.720444
[38] eval-auc:0.701479 train-auc:0.720949
[39] eval-auc:0.702393 train-auc:0.721604
[40] eval-auc:0.701798 train-auc:0.722163
[41] eval-auc:0.702152 train-auc:0.722458
[42] eval-auc:0.702743 train-auc:0.722954
[43] eval-auc:0.702759 train-auc:0.724046
[44] eval-auc:0.702459 train-auc:0.724271
[45] eval-auc:0.703033 train-auc:0.72584
[46] eval-auc:0.701851 train-auc:0.725168
[47] eval-auc:0.702473 train-auc:0.725555
[48] eval-auc:0.702039 train-auc:0.726092
[49] eval-auc:0.701718 train-auc:0.72604
[50] eval-auc:0.701428 train-auc:0.726979
[51] eval-auc:0.701814 train-auc:0.726795
[52] eval-auc:0.702175 train-auc:0.727556
[53] eval-auc:0.701614 train-auc:0.727825
[54] eval-auc:0.702354 train-auc:0.728237
[55] eval-auc:0.703419 train-auc:0.729226
[56] eval-auc:0.704026 train-auc:0.729904
[57] eval-auc:0.704236 train-auc:0.730362
[58] eval-auc:0.704603 train-auc:0.730408
[59] eval-auc:0.705389 train-auc:0.731434
[60] eval-auc:0.705755 train-auc:0.731904
[61] eval-auc:0.705421 train-auc:0.732
[62] eval-auc:0.705691 train-auc:0.732304
[63] eval-auc:0.70633 train-auc:0.733184
[64] eval-auc:0.705933 train-auc:0.734571
[65] eval-auc:0.706275 train-auc:0.734772
[66] eval-auc:0.706054 train-auc:0.734999
[67] eval-auc:0.705803 train-auc:0.735001
[68] eval-auc:0.706003 train-auc:0.735631
[69] eval-auc:0.705484 train-auc:0.736375
[70] eval-auc:0.705621 train-auc:0.736601
[71] eval-auc:0.705577 train-auc:0.737238
[72] eval-auc:0.705716 train-auc:0.737449
[73] eval-auc:0.705828 train-auc:0.737741
[74] eval-auc:0.705855 train-auc:0.737901
[75] eval-auc:0.706289 train-auc:0.738228
[76] eval-auc:0.70654 train-auc:0.738299
[77] eval-auc:0.705115 train-auc:0.739
[78] eval-auc:0.705386 train-auc:0.739085
[79] eval-auc:0.704996 train-auc:0.739072
[80] eval-auc:0.704652 train-auc:0.738918
[81] eval-auc:0.704704 train-auc:0.739129
[82] eval-auc:0.704948 train-auc:0.739557
[83] eval-auc:0.704973 train-auc:0.7395
[84] eval-auc:0.705695 train-auc:0.74063
[85] eval-auc:0.70578 train-auc:0.740892
[86] eval-auc:0.705896 train-auc:0.741342
[87] eval-auc:0.705866 train-auc:0.741652
[88] eval-auc:0.705249 train-auc:0.74243
[89] eval-auc:0.705683 train-auc:0.742735
[90] eval-auc:0.705879 train-auc:0.743019
[91] eval-auc:0.705487 train-auc:0.74358
[92] eval-auc:0.705468 train-auc:0.744005
[93] eval-auc:0.705512 train-auc:0.743941
[94] eval-auc:0.705961 train-auc:0.744818
[95] eval-auc:0.706582 train-auc:0.744847
[96] eval-auc:0.706651 train-auc:0.745285
[97] eval-auc:0.706856 train-auc:0.745918
[98] eval-auc:0.706955 train-auc:0.745988
[99] eval-auc:0.707199 train-auc:0.74619
[100] eval-auc:0.707106 train-auc:0.746456
[101] eval-auc:0.707357 train-auc:0.746497
[102] eval-auc:0.707076 train-auc:0.747131
[103] eval-auc:0.707283 train-auc:0.747143
[104] eval-auc:0.707339 train-auc:0.74738
[105] eval-auc:0.706536 train-auc:0.747831
[106] eval-auc:0.705901 train-auc:0.748181
[107] eval-auc:0.705959 train-auc:0.748323
[108] eval-auc:0.70601 train-auc:0.748343
[109] eval-auc:0.706032 train-auc:0.748632
[110] eval-auc:0.705697 train-auc:0.749068
[111] eval-auc:0.705048 train-auc:0.749129
[112] eval-auc:0.705287 train-auc:0.749349
[113] eval-auc:0.705949 train-auc:0.7496
[114] eval-auc:0.706201 train-auc:0.749993
[115] eval-auc:0.706122 train-auc:0.750652
[116] eval-auc:0.706414 train-auc:0.751302
[117] eval-auc:0.706927 train-auc:0.751968
[118] eval-auc:0.706913 train-auc:0.752191
[119] eval-auc:0.707026 train-auc:0.752738
[120] eval-auc:0.707131 train-auc:0.752962
[121] eval-auc:0.707527 train-auc:0.753386
[122] eval-auc:0.70785 train-auc:0.753945
[123] eval-auc:0.707618 train-auc:0.754332
[124] eval-auc:0.707258 train-auc:0.754219
[125] eval-auc:0.707583 train-auc:0.754848
[126] eval-auc:0.706946 train-auc:0.75534
[127] eval-auc:0.707473 train-auc:0.755593
[128] eval-auc:0.708103 train-auc:0.756652
[129] eval-auc:0.707928 train-auc:0.757228
[130] eval-auc:0.707805 train-auc:0.75783
[131] eval-auc:0.707686 train-auc:0.758123
[132] eval-auc:0.707922 train-auc:0.759183
[133] eval-auc:0.707995 train-auc:0.759231
[134] eval-auc:0.708202 train-auc:0.759593
[135] eval-auc:0.707613 train-auc:0.760161
[136] eval-auc:0.70749 train-auc:0.760497
[137] eval-auc:0.707406 train-auc:0.761352
[138] eval-auc:0.707572 train-auc:0.761846
[139] eval-auc:0.707651 train-auc:0.761994
[140] eval-auc:0.707755 train-auc:0.761718
[141] eval-auc:0.707488 train-auc:0.762171
[142] eval-auc:0.707636 train-auc:0.762533
[143] eval-auc:0.70779 train-auc:0.763172
[144] eval-auc:0.707762 train-auc:0.76327
[145] eval-auc:0.707927 train-auc:0.763932
[146] eval-auc:0.707991 train-auc:0.764366
[147] eval-auc:0.708096 train-auc:0.764488
[148] eval-auc:0.708073 train-auc:0.76477
[149] eval-auc:0.708446 train-auc:0.765026
[150] eval-auc:0.708384 train-auc:0.76539
[151] eval-auc:0.708964 train-auc:0.765837
[152] eval-auc:0.70916 train-auc:0.765857
[153] eval-auc:0.708971 train-auc:0.766375
[154] eval-auc:0.709564 train-auc:0.767122
[155] eval-auc:0.70957 train-auc:0.767748
[156] eval-auc:0.709413 train-auc:0.768261
[157] eval-auc:0.709614 train-auc:0.768654
[158] eval-auc:0.709411 train-auc:0.769112
[159] eval-auc:0.709736 train-auc:0.769548
[160] eval-auc:0.70955 train-auc:0.769758
[161] eval-auc:0.709552 train-auc:0.769818
[162] eval-auc:0.709797 train-auc:0.770142
[163] eval-auc:0.709405 train-auc:0.770466
[164] eval-auc:0.709465 train-auc:0.771111
[165] eval-auc:0.708993 train-auc:0.771535
[166] eval-auc:0.709485 train-auc:0.772215
[167] eval-auc:0.709672 train-auc:0.772817
[168] eval-auc:0.70936 train-auc:0.773374
[169] eval-auc:0.709312 train-auc:0.773312
[170] eval-auc:0.709481 train-auc:0.773297
[171] eval-auc:0.709169 train-auc:0.773753
[172] eval-auc:0.709539 train-auc:0.774365
Score 0.7095393414464788
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.7000000000000001, 'eta': 0.1, 'eval_metric': 'auc', 'gamma': 1.0, 'max_depth': 2, 'min_child_weight': 4.0, 'n_estimators': 183.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.8, 'tree_method': 'exact'}
[0] eval-auc:0.66852 train-auc:0.685548
[1] eval-auc:0.667791 train-auc:0.694248
[2] eval-auc:0.672792 train-auc:0.696112
[3] eval-auc:0.672471 train-auc:0.704736
[4] eval-auc:0.692182 train-auc:0.710996
[5] eval-auc:0.692001 train-auc:0.711193
[6] eval-auc:0.695975 train-auc:0.711029
[7] eval-auc:0.687586 train-auc:0.715896
[8] eval-auc:0.693659 train-auc:0.712894
[9] eval-auc:0.695055 train-auc:0.714098
[10] eval-auc:0.695576 train-auc:0.713747
[11] eval-auc:0.696729 train-auc:0.715428
[12] eval-auc:0.696896 train-auc:0.714741
[13] eval-auc:0.698247 train-auc:0.716418
[14] eval-auc:0.698547 train-auc:0.716347
[15] eval-auc:0.698791 train-auc:0.716879
[16] eval-auc:0.697797 train-auc:0.718135
[17] eval-auc:0.699674 train-auc:0.720857
[18] eval-auc:0.701323 train-auc:0.722719
[19] eval-auc:0.699844 train-auc:0.720594
[20] eval-auc:0.699619 train-auc:0.719597
[21] eval-auc:0.699548 train-auc:0.720002
[22] eval-auc:0.700122 train-auc:0.720528
[23] eval-auc:0.701444 train-auc:0.722277
[24] eval-auc:0.703603 train-auc:0.723336
[25] eval-auc:0.703287 train-auc:0.724047
[26] eval-auc:0.703668 train-auc:0.723848
[27] eval-auc:0.701261 train-auc:0.724044
[28] eval-auc:0.701993 train-auc:0.724752
[29] eval-auc:0.702262 train-auc:0.725363
[30] eval-auc:0.702922 train-auc:0.72583
[31] eval-auc:0.703225 train-auc:0.725502
[32] eval-auc:0.703959 train-auc:0.726835
[33] eval-auc:0.702957 train-auc:0.726521
[34] eval-auc:0.702707 train-auc:0.726396
[35] eval-auc:0.704348 train-auc:0.72653
[36] eval-auc:0.704289 train-auc:0.727465
[37] eval-auc:0.70472 train-auc:0.728144
[38] eval-auc:0.705218 train-auc:0.729108
[39] eval-auc:0.705667 train-auc:0.72971
[40] eval-auc:0.705314 train-auc:0.730255
[41] eval-auc:0.705593 train-auc:0.731432
[42] eval-auc:0.705857 train-auc:0.732732
[43] eval-auc:0.705164 train-auc:0.73391
[44] eval-auc:0.704645 train-auc:0.733978
[45] eval-auc:0.705659 train-auc:0.735154
[46] eval-auc:0.70476 train-auc:0.735299
[47] eval-auc:0.705249 train-auc:0.736177
[48] eval-auc:0.704506 train-auc:0.73603
[49] eval-auc:0.704476 train-auc:0.735804
[50] eval-auc:0.703791 train-auc:0.736807
[51] eval-auc:0.702925 train-auc:0.737339
[52] eval-auc:0.702852 train-auc:0.737971
[53] eval-auc:0.703471 train-auc:0.738437
[54] eval-auc:0.703701 train-auc:0.739066
[55] eval-auc:0.703733 train-auc:0.740628
[56] eval-auc:0.703856 train-auc:0.740936
[57] eval-auc:0.703922 train-auc:0.741592
[58] eval-auc:0.704057 train-auc:0.74177
[59] eval-auc:0.703428 train-auc:0.741473
[60] eval-auc:0.703132 train-auc:0.742436
[61] eval-auc:0.702755 train-auc:0.742407
[62] eval-auc:0.702934 train-auc:0.742716
[63] eval-auc:0.703658 train-auc:0.743553
[64] eval-auc:0.703528 train-auc:0.745017
[65] eval-auc:0.703994 train-auc:0.745077
[66] eval-auc:0.704324 train-auc:0.745741
[67] eval-auc:0.704408 train-auc:0.745536
[68] eval-auc:0.704234 train-auc:0.74566
[69] eval-auc:0.704175 train-auc:0.746825
[70] eval-auc:0.70397 train-auc:0.747367
[71] eval-auc:0.704986 train-auc:0.748442
[72] eval-auc:0.70527 train-auc:0.749356
[73] eval-auc:0.705143 train-auc:0.749803
[74] eval-auc:0.705303 train-auc:0.750136
[75] eval-auc:0.705496 train-auc:0.750989
[76] eval-auc:0.704664 train-auc:0.751862
[77] eval-auc:0.703221 train-auc:0.752959
[78] eval-auc:0.702912 train-auc:0.75242
[79] eval-auc:0.702989 train-auc:0.752999
[80] eval-auc:0.702797 train-auc:0.753608
[81] eval-auc:0.702807 train-auc:0.754282
[82] eval-auc:0.702872 train-auc:0.754527
[83] eval-auc:0.702318 train-auc:0.754578
[84] eval-auc:0.702429 train-auc:0.754984
[85] eval-auc:0.702659 train-auc:0.755461
[86] eval-auc:0.703294 train-auc:0.755583
[87] eval-auc:0.702759 train-auc:0.756548
[88] eval-auc:0.702155 train-auc:0.75753
[89] eval-auc:0.701835 train-auc:0.757764
[90] eval-auc:0.701701 train-auc:0.758125
[91] eval-auc:0.701013 train-auc:0.758597
[92] eval-auc:0.700892 train-auc:0.758967
[93] eval-auc:0.701273 train-auc:0.759895
[94] eval-auc:0.702102 train-auc:0.760736
[95] eval-auc:0.702937 train-auc:0.760792
[96] eval-auc:0.703157 train-auc:0.760913
[97] eval-auc:0.702887 train-auc:0.761239
[98] eval-auc:0.703276 train-auc:0.761843
[99] eval-auc:0.703183 train-auc:0.762462
[100] eval-auc:0.703263 train-auc:0.762587
[101] eval-auc:0.703834 train-auc:0.76259
[102] eval-auc:0.703093 train-auc:0.763333
[103] eval-auc:0.703403 train-auc:0.764194
[104] eval-auc:0.703467 train-auc:0.764458
[105] eval-auc:0.70341 train-auc:0.76514
[106] eval-auc:0.703009 train-auc:0.765376
[107] eval-auc:0.703218 train-auc:0.765135
[108] eval-auc:0.703214 train-auc:0.765204
[109] eval-auc:0.703424 train-auc:0.765291
[110] eval-auc:0.703678 train-auc:0.765591
[111] eval-auc:0.70324 train-auc:0.765992
[112] eval-auc:0.702845 train-auc:0.766532
[113] eval-auc:0.703228 train-auc:0.767014
[114] eval-auc:0.70319 train-auc:0.767788
[115] eval-auc:0.703325 train-auc:0.768359
[116] eval-auc:0.70371 train-auc:0.769223
[117] eval-auc:0.703412 train-auc:0.769691
[118] eval-auc:0.7034 train-auc:0.770615
[119] eval-auc:0.703471 train-auc:0.770898
[120] eval-auc:0.703462 train-auc:0.771176
[121] eval-auc:0.703966 train-auc:0.771638
[122] eval-auc:0.704488 train-auc:0.772231
[123] eval-auc:0.705117 train-auc:0.773223
[124] eval-auc:0.704749 train-auc:0.773036
[125] eval-auc:0.705248 train-auc:0.773719
[126] eval-auc:0.703691 train-auc:0.774424
[127] eval-auc:0.703203 train-auc:0.774618
[128] eval-auc:0.703057 train-auc:0.775214
[129] eval-auc:0.702834 train-auc:0.776371
[130] eval-auc:0.703142 train-auc:0.77627
[131] eval-auc:0.703582 train-auc:0.776509
[132] eval-auc:0.704412 train-auc:0.77802
[133] eval-auc:0.704097 train-auc:0.778168
[134] eval-auc:0.704272 train-auc:0.778631
[135] eval-auc:0.704026 train-auc:0.778847
[136] eval-auc:0.703899 train-auc:0.779213
[137] eval-auc:0.703561 train-auc:0.779982
[138] eval-auc:0.704104 train-auc:0.780489
[139] eval-auc:0.704203 train-auc:0.780413
[140] eval-auc:0.704198 train-auc:0.780572
[141] eval-auc:0.70414 train-auc:0.780801
[142] eval-auc:0.704298 train-auc:0.781176
[143] eval-auc:0.704522 train-auc:0.781522
[144] eval-auc:0.704791 train-auc:0.781852
[145] eval-auc:0.704836 train-auc:0.782134
[146] eval-auc:0.704852 train-auc:0.782829
[147] eval-auc:0.704647 train-auc:0.782713
[148] eval-auc:0.704645 train-auc:0.783343
[149] eval-auc:0.705108 train-auc:0.783621
[150] eval-auc:0.70533 train-auc:0.784116
[151] eval-auc:0.70562 train-auc:0.784908
[152] eval-auc:0.706153 train-auc:0.784923
[153] eval-auc:0.706021 train-auc:0.78516
[154] eval-auc:0.706894 train-auc:0.785966
[155] eval-auc:0.707009 train-auc:0.786704
[156] eval-auc:0.70679 train-auc:0.787364
[157] eval-auc:0.706493 train-auc:0.787752
[158] eval-auc:0.706718 train-auc:0.78816
[159] eval-auc:0.707092 train-auc:0.788538
[160] eval-auc:0.707067 train-auc:0.788734
[161] eval-auc:0.707235 train-auc:0.788763
[162] eval-auc:0.707482 train-auc:0.789218
[163] eval-auc:0.706472 train-auc:0.78942
[164] eval-auc:0.706483 train-auc:0.790082
[165] eval-auc:0.706112 train-auc:0.79053
[166] eval-auc:0.706319 train-auc:0.790923
[167] eval-auc:0.706064 train-auc:0.79094
[168] eval-auc:0.706142 train-auc:0.79103
[169] eval-auc:0.706412 train-auc:0.790812
[170] eval-auc:0.706268 train-auc:0.791001
[171] eval-auc:0.705343 train-auc:0.791456
[172] eval-auc:0.70523 train-auc:0.791562
[173] eval-auc:0.705598 train-auc:0.791776
[174] eval-auc:0.705841 train-auc:0.792047
[175] eval-auc:0.70565 train-auc:0.792666
[176] eval-auc:0.705017 train-auc:0.79297
[177] eval-auc:0.70555 train-auc:0.793321
[178] eval-auc:0.705591 train-auc:0.793796
[179] eval-auc:0.7063 train-auc:0.794366
[180] eval-auc:0.706604 train-auc:0.794878
[181] eval-auc:0.706686 train-auc:0.795493
[182] eval-auc:0.706132 train-auc:0.795343
Score 0.7061322162530912
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.55, 'eta': 0.15000000000000002, 'eval_metric': 'auc', 'gamma': 1.0, 'max_depth': 2, 'min_child_weight': 4.0, 'n_estimators': 288.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.8500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.54799 train-auc:0.570078
[1] eval-auc:0.650067 train-auc:0.67637
[2] eval-auc:0.648219 train-auc:0.681876
[3] eval-auc:0.653408 train-auc:0.699114
[4] eval-auc:0.650844 train-auc:0.701238
[5] eval-auc:0.676604 train-auc:0.712318
[6] eval-auc:0.67937 train-auc:0.716506
[7] eval-auc:0.682172 train-auc:0.719508
[8] eval-auc:0.693758 train-auc:0.717163
[9] eval-auc:0.695057 train-auc:0.717242
[10] eval-auc:0.694399 train-auc:0.715522
[11] eval-auc:0.695213 train-auc:0.717704
[12] eval-auc:0.694714 train-auc:0.717676
[13] eval-auc:0.697092 train-auc:0.718308
[14] eval-auc:0.697191 train-auc:0.719146
[15] eval-auc:0.69877 train-auc:0.720692
[16] eval-auc:0.696824 train-auc:0.720665
[17] eval-auc:0.699401 train-auc:0.724181
[18] eval-auc:0.702021 train-auc:0.725575
[19] eval-auc:0.700226 train-auc:0.724678
[20] eval-auc:0.699862 train-auc:0.724376
[21] eval-auc:0.699849 train-auc:0.723977
[22] eval-auc:0.700361 train-auc:0.725086
[23] eval-auc:0.701601 train-auc:0.725845
[24] eval-auc:0.701562 train-auc:0.725679
[25] eval-auc:0.700912 train-auc:0.725905
[26] eval-auc:0.70245 train-auc:0.726591
[27] eval-auc:0.701724 train-auc:0.72627
[28] eval-auc:0.703123 train-auc:0.727322
[29] eval-auc:0.703512 train-auc:0.727692
[30] eval-auc:0.704737 train-auc:0.728243
[31] eval-auc:0.705091 train-auc:0.729315
[32] eval-auc:0.705555 train-auc:0.73061
[33] eval-auc:0.705599 train-auc:0.730924
[34] eval-auc:0.705424 train-auc:0.730407
[35] eval-auc:0.707669 train-auc:0.732735
[36] eval-auc:0.706605 train-auc:0.733816
[37] eval-auc:0.707283 train-auc:0.734348
[38] eval-auc:0.707262 train-auc:0.734898
[39] eval-auc:0.707116 train-auc:0.735945
[40] eval-auc:0.707326 train-auc:0.736123
[41] eval-auc:0.706875 train-auc:0.737452
[42] eval-auc:0.70734 train-auc:0.738297
[43] eval-auc:0.706843 train-auc:0.73918
[44] eval-auc:0.706108 train-auc:0.739681
[45] eval-auc:0.706522 train-auc:0.740336
[46] eval-auc:0.706383 train-auc:0.740329
[47] eval-auc:0.707061 train-auc:0.741143
[48] eval-auc:0.706469 train-auc:0.740869
[49] eval-auc:0.706764 train-auc:0.741382
[50] eval-auc:0.705138 train-auc:0.743034
[51] eval-auc:0.704631 train-auc:0.743049
[52] eval-auc:0.705759 train-auc:0.744231
[53] eval-auc:0.70626 train-auc:0.745403
[54] eval-auc:0.70662 train-auc:0.746441
[55] eval-auc:0.707481 train-auc:0.747682
[56] eval-auc:0.708068 train-auc:0.748439
[57] eval-auc:0.70876 train-auc:0.749629
[58] eval-auc:0.709025 train-auc:0.749958
[59] eval-auc:0.71072 train-auc:0.750995
[60] eval-auc:0.710968 train-auc:0.751743
[61] eval-auc:0.711573 train-auc:0.752614
[62] eval-auc:0.711406 train-auc:0.753751
[63] eval-auc:0.710524 train-auc:0.754424
[64] eval-auc:0.710515 train-auc:0.754885
[65] eval-auc:0.710642 train-auc:0.754552
[66] eval-auc:0.709993 train-auc:0.754866
[67] eval-auc:0.710293 train-auc:0.75514
[68] eval-auc:0.71003 train-auc:0.755986
[69] eval-auc:0.7093 train-auc:0.757266
[70] eval-auc:0.709407 train-auc:0.759118
[71] eval-auc:0.709224 train-auc:0.759819
[72] eval-auc:0.709602 train-auc:0.7603
[73] eval-auc:0.709446 train-auc:0.760911
[74] eval-auc:0.70925 train-auc:0.761205
[75] eval-auc:0.710413 train-auc:0.761883
[76] eval-auc:0.710218 train-auc:0.76182
[77] eval-auc:0.70819 train-auc:0.762723
[78] eval-auc:0.708393 train-auc:0.763213
[79] eval-auc:0.708444 train-auc:0.762627
[80] eval-auc:0.708221 train-auc:0.76274
[81] eval-auc:0.708093 train-auc:0.763105
[82] eval-auc:0.707695 train-auc:0.763577
[83] eval-auc:0.70743 train-auc:0.764127
[84] eval-auc:0.707438 train-auc:0.766044
[85] eval-auc:0.707784 train-auc:0.767033
[86] eval-auc:0.708342 train-auc:0.767492
[87] eval-auc:0.708448 train-auc:0.768856
[88] eval-auc:0.708344 train-auc:0.769226
[89] eval-auc:0.707782 train-auc:0.769667
[90] eval-auc:0.707439 train-auc:0.770066
[91] eval-auc:0.706043 train-auc:0.770839
[92] eval-auc:0.706151 train-auc:0.771506
[93] eval-auc:0.706508 train-auc:0.773031
[94] eval-auc:0.706626 train-auc:0.77377
[95] eval-auc:0.707133 train-auc:0.773773
[96] eval-auc:0.706617 train-auc:0.774086
[97] eval-auc:0.706613 train-auc:0.774312
[98] eval-auc:0.706463 train-auc:0.774436
[99] eval-auc:0.707113 train-auc:0.774839
[100] eval-auc:0.706405 train-auc:0.77462
[101] eval-auc:0.706403 train-auc:0.775222
[102] eval-auc:0.706741 train-auc:0.775839
[103] eval-auc:0.70686 train-auc:0.776609
[104] eval-auc:0.707393 train-auc:0.776847
[105] eval-auc:0.706097 train-auc:0.777771
[106] eval-auc:0.706184 train-auc:0.778152
[107] eval-auc:0.705914 train-auc:0.778237
[108] eval-auc:0.706537 train-auc:0.779165
[109] eval-auc:0.706632 train-auc:0.78013
[110] eval-auc:0.706755 train-auc:0.780179
[111] eval-auc:0.705509 train-auc:0.780329
[112] eval-auc:0.70517 train-auc:0.780797
[113] eval-auc:0.705263 train-auc:0.78119
[114] eval-auc:0.704437 train-auc:0.781289
[115] eval-auc:0.703943 train-auc:0.781862
[116] eval-auc:0.704223 train-auc:0.782212
[117] eval-auc:0.704862 train-auc:0.783179
[118] eval-auc:0.705372 train-auc:0.783353
[119] eval-auc:0.705477 train-auc:0.784614
[120] eval-auc:0.70564 train-auc:0.785065
[121] eval-auc:0.705353 train-auc:0.786069
[122] eval-auc:0.705343 train-auc:0.786799
[123] eval-auc:0.705066 train-auc:0.786862
[124] eval-auc:0.705103 train-auc:0.786477
[125] eval-auc:0.706192 train-auc:0.788869
[126] eval-auc:0.706857 train-auc:0.790158
[127] eval-auc:0.707457 train-auc:0.790213
[128] eval-auc:0.708071 train-auc:0.791727
[129] eval-auc:0.707279 train-auc:0.792253
[130] eval-auc:0.707647 train-auc:0.793299
[131] eval-auc:0.70765 train-auc:0.793115
[132] eval-auc:0.707733 train-auc:0.794575
[133] eval-auc:0.707296 train-auc:0.795034
[134] eval-auc:0.707617 train-auc:0.79534
[135] eval-auc:0.707801 train-auc:0.795699
[136] eval-auc:0.708395 train-auc:0.796535
[137] eval-auc:0.708095 train-auc:0.797132
[138] eval-auc:0.707836 train-auc:0.797388
[139] eval-auc:0.708556 train-auc:0.798067
[140] eval-auc:0.708329 train-auc:0.798319
[141] eval-auc:0.707748 train-auc:0.798642
[142] eval-auc:0.708046 train-auc:0.799059
[143] eval-auc:0.707728 train-auc:0.799162
[144] eval-auc:0.707832 train-auc:0.799807
[145] eval-auc:0.708072 train-auc:0.800579
[146] eval-auc:0.707375 train-auc:0.801108
[147] eval-auc:0.707562 train-auc:0.801115
[148] eval-auc:0.708194 train-auc:0.801922
[149] eval-auc:0.708019 train-auc:0.802034
[150] eval-auc:0.708212 train-auc:0.80256
[151] eval-auc:0.708334 train-auc:0.80311
[152] eval-auc:0.7079 train-auc:0.802905
[153] eval-auc:0.707763 train-auc:0.803071
[154] eval-auc:0.708448 train-auc:0.803767
[155] eval-auc:0.708494 train-auc:0.804272
[156] eval-auc:0.708401 train-auc:0.80537
[157] eval-auc:0.708234 train-auc:0.805701
[158] eval-auc:0.707984 train-auc:0.806369
[159] eval-auc:0.708237 train-auc:0.806763
[160] eval-auc:0.708528 train-auc:0.807419
[161] eval-auc:0.708958 train-auc:0.808078
[162] eval-auc:0.709376 train-auc:0.807971
[163] eval-auc:0.70799 train-auc:0.808352
[164] eval-auc:0.707853 train-auc:0.80926
[165] eval-auc:0.707696 train-auc:0.809837
[166] eval-auc:0.707882 train-auc:0.810162
[167] eval-auc:0.70843 train-auc:0.811152
[168] eval-auc:0.708084 train-auc:0.811395
[169] eval-auc:0.70808 train-auc:0.810651
[170] eval-auc:0.70801 train-auc:0.811498
[171] eval-auc:0.708791 train-auc:0.811778
[172] eval-auc:0.709529 train-auc:0.812342
[173] eval-auc:0.709816 train-auc:0.812645
[174] eval-auc:0.70997 train-auc:0.81294
[175] eval-auc:0.709858 train-auc:0.813575
[176] eval-auc:0.710128 train-auc:0.814196
[177] eval-auc:0.710463 train-auc:0.814919
[178] eval-auc:0.710758 train-auc:0.815569
[179] eval-auc:0.710976 train-auc:0.815813
[180] eval-auc:0.71019 train-auc:0.815682
[181] eval-auc:0.710079 train-auc:0.816086
[182] eval-auc:0.709875 train-auc:0.815867
[183] eval-auc:0.709939 train-auc:0.816383
[184] eval-auc:0.709759 train-auc:0.816941
[185] eval-auc:0.710671 train-auc:0.817759
[186] eval-auc:0.711421 train-auc:0.818021
[187] eval-auc:0.711078 train-auc:0.818697
[188] eval-auc:0.710474 train-auc:0.819447
[189] eval-auc:0.71027 train-auc:0.820041
[190] eval-auc:0.710097 train-auc:0.820577
[191] eval-auc:0.710065 train-auc:0.820947
[192] eval-auc:0.709898 train-auc:0.821001
[193] eval-auc:0.710273 train-auc:0.821636
[194] eval-auc:0.710866 train-auc:0.822436
[195] eval-auc:0.71016 train-auc:0.822466
[196] eval-auc:0.709874 train-auc:0.822844
[197] eval-auc:0.710171 train-auc:0.822648
[198] eval-auc:0.710209 train-auc:0.823646
[199] eval-auc:0.710139 train-auc:0.824087
[200] eval-auc:0.709849 train-auc:0.824472
[201] eval-auc:0.710282 train-auc:0.824818
[202] eval-auc:0.710171 train-auc:0.825022
[203] eval-auc:0.709995 train-auc:0.825439
[204] eval-auc:0.709845 train-auc:0.826074
[205] eval-auc:0.709781 train-auc:0.826374
[206] eval-auc:0.709619 train-auc:0.826412
[207] eval-auc:0.709686 train-auc:0.827067
[208] eval-auc:0.710253 train-auc:0.827209
[209] eval-auc:0.710035 train-auc:0.827492
[210] eval-auc:0.709627 train-auc:0.828213
[211] eval-auc:0.709686 train-auc:0.828592
[212] eval-auc:0.708869 train-auc:0.829099
[213] eval-auc:0.707885 train-auc:0.829327
[214] eval-auc:0.707883 train-auc:0.829361
[215] eval-auc:0.707784 train-auc:0.829813
[216] eval-auc:0.707862 train-auc:0.829983
[217] eval-auc:0.707806 train-auc:0.8297
[218] eval-auc:0.70827 train-auc:0.830118
[219] eval-auc:0.707914 train-auc:0.830311
[220] eval-auc:0.708387 train-auc:0.831398
[221] eval-auc:0.707457 train-auc:0.831662
[222] eval-auc:0.70728 train-auc:0.831546
[223] eval-auc:0.706732 train-auc:0.832062
[224] eval-auc:0.706059 train-auc:0.832789
[225] eval-auc:0.706042 train-auc:0.832729
[226] eval-auc:0.705677 train-auc:0.833173
[227] eval-auc:0.70535 train-auc:0.833212
[228] eval-auc:0.705278 train-auc:0.833602
[229] eval-auc:0.706048 train-auc:0.83403
[230] eval-auc:0.706195 train-auc:0.834273
[231] eval-auc:0.705413 train-auc:0.834402
[232] eval-auc:0.705459 train-auc:0.835099
[233] eval-auc:0.705409 train-auc:0.83589
[234] eval-auc:0.705436 train-auc:0.836266
[235] eval-auc:0.705238 train-auc:0.836707
[236] eval-auc:0.704574 train-auc:0.837104
[237] eval-auc:0.704392 train-auc:0.837244
[238] eval-auc:0.704271 train-auc:0.83749
[239] eval-auc:0.703929 train-auc:0.83753
[240] eval-auc:0.704241 train-auc:0.83821
[241] eval-auc:0.704663 train-auc:0.838513
[242] eval-auc:0.70344 train-auc:0.838574
[243] eval-auc:0.703282 train-auc:0.838816
[244] eval-auc:0.703857 train-auc:0.839084
[245] eval-auc:0.703963 train-auc:0.839175
[246] eval-auc:0.704164 train-auc:0.839164
[247] eval-auc:0.704153 train-auc:0.839619
[248] eval-auc:0.704358 train-auc:0.839608
[249] eval-auc:0.704744 train-auc:0.838914
[250] eval-auc:0.704311 train-auc:0.838771
[251] eval-auc:0.704175 train-auc:0.838785
[252] eval-auc:0.70411 train-auc:0.838909
[253] eval-auc:0.703917 train-auc:0.838356
[254] eval-auc:0.703496 train-auc:0.838934
[255] eval-auc:0.702694 train-auc:0.83921
[256] eval-auc:0.702983 train-auc:0.839617
[257] eval-auc:0.702904 train-auc:0.840074
[258] eval-auc:0.702942 train-auc:0.840531
[259] eval-auc:0.702385 train-auc:0.8412
[260] eval-auc:0.702275 train-auc:0.841396
[261] eval-auc:0.702251 train-auc:0.841655
[262] eval-auc:0.702134 train-auc:0.841798
[263] eval-auc:0.702424 train-auc:0.841916
[264] eval-auc:0.702042 train-auc:0.842098
[265] eval-auc:0.701719 train-auc:0.842086
[266] eval-auc:0.701288 train-auc:0.842215
[267] eval-auc:0.700606 train-auc:0.842379
[268] eval-auc:0.699982 train-auc:0.843219
[269] eval-auc:0.700408 train-auc:0.843466
[270] eval-auc:0.700746 train-auc:0.844385
[271] eval-auc:0.70096 train-auc:0.844552
[272] eval-auc:0.700956 train-auc:0.844878
[273] eval-auc:0.701493 train-auc:0.845574
[274] eval-auc:0.701776 train-auc:0.845702
[275] eval-auc:0.702166 train-auc:0.845621
[276] eval-auc:0.702524 train-auc:0.846122
[277] eval-auc:0.702574 train-auc:0.846182
[278] eval-auc:0.702151 train-auc:0.846651
[279] eval-auc:0.702008 train-auc:0.847272
[280] eval-auc:0.702016 train-auc:0.847549
[281] eval-auc:0.701589 train-auc:0.847552
[282] eval-auc:0.701939 train-auc:0.847825
[283] eval-auc:0.701636 train-auc:0.848135
[284] eval-auc:0.7017 train-auc:0.848466
[285] eval-auc:0.701435 train-auc:0.848939
[286] eval-auc:0.70161 train-auc:0.848977
[287] eval-auc:0.701888 train-auc:0.849395
Score 0.7018875854255748
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.75, 'eta': 0.17500000000000002, 'eval_metric': 'auc', 'gamma': 0.9500000000000001, 'max_depth': 2, 'min_child_weight': 4.0, 'n_estimators': 150.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.75, 'tree_method': 'exact'}
[0] eval-auc:0.66852 train-auc:0.685548
[1] eval-auc:0.664934 train-auc:0.693984
[2] eval-auc:0.672321 train-auc:0.707234
[3] eval-auc:0.672058 train-auc:0.706965
[4] eval-auc:0.690715 train-auc:0.713087
[5] eval-auc:0.687927 train-auc:0.711697
[6] eval-auc:0.692425 train-auc:0.711689
[7] eval-auc:0.692719 train-auc:0.713764
[8] eval-auc:0.69467 train-auc:0.714819
[9] eval-auc:0.698193 train-auc:0.716663
[10] eval-auc:0.695606 train-auc:0.716672
[11] eval-auc:0.696036 train-auc:0.719742
[12] eval-auc:0.694935 train-auc:0.718819
[13] eval-auc:0.696327 train-auc:0.720296
[14] eval-auc:0.696591 train-auc:0.721555
[15] eval-auc:0.698899 train-auc:0.724591
[16] eval-auc:0.698029 train-auc:0.725311
[17] eval-auc:0.700472 train-auc:0.728148
[18] eval-auc:0.700839 train-auc:0.729468
[19] eval-auc:0.698947 train-auc:0.730009
[20] eval-auc:0.698994 train-auc:0.730739
[21] eval-auc:0.698528 train-auc:0.730354
[22] eval-auc:0.699006 train-auc:0.731954
[23] eval-auc:0.700098 train-auc:0.734832
[24] eval-auc:0.701566 train-auc:0.734739
[25] eval-auc:0.702189 train-auc:0.735401
[26] eval-auc:0.700309 train-auc:0.736239
[27] eval-auc:0.69893 train-auc:0.737526
[28] eval-auc:0.699646 train-auc:0.738839
[29] eval-auc:0.69909 train-auc:0.738675
[30] eval-auc:0.698965 train-auc:0.740635
[31] eval-auc:0.697338 train-auc:0.7404
[32] eval-auc:0.698308 train-auc:0.741485
[33] eval-auc:0.696944 train-auc:0.741959
[34] eval-auc:0.696758 train-auc:0.741691
[35] eval-auc:0.697932 train-auc:0.742598
[36] eval-auc:0.699308 train-auc:0.744331
[37] eval-auc:0.700608 train-auc:0.74469
[38] eval-auc:0.701423 train-auc:0.745656
[39] eval-auc:0.70169 train-auc:0.746799
[40] eval-auc:0.702191 train-auc:0.746932
[41] eval-auc:0.702792 train-auc:0.747462
[42] eval-auc:0.703889 train-auc:0.748993
[43] eval-auc:0.703407 train-auc:0.75003
[44] eval-auc:0.702368 train-auc:0.750106
[45] eval-auc:0.702714 train-auc:0.751354
[46] eval-auc:0.702924 train-auc:0.751765
[47] eval-auc:0.703688 train-auc:0.752479
[48] eval-auc:0.703921 train-auc:0.752833
[49] eval-auc:0.704249 train-auc:0.753701
[50] eval-auc:0.704096 train-auc:0.755154
[51] eval-auc:0.703732 train-auc:0.755696
[52] eval-auc:0.702976 train-auc:0.756469
[53] eval-auc:0.703029 train-auc:0.757039
[54] eval-auc:0.702991 train-auc:0.759286
[55] eval-auc:0.702127 train-auc:0.76086
[56] eval-auc:0.702342 train-auc:0.761995
[57] eval-auc:0.702656 train-auc:0.762242
[58] eval-auc:0.70304 train-auc:0.762612
[59] eval-auc:0.701435 train-auc:0.763691
[60] eval-auc:0.700815 train-auc:0.764728
[61] eval-auc:0.700436 train-auc:0.764846
[62] eval-auc:0.700184 train-auc:0.7666
[63] eval-auc:0.699638 train-auc:0.768341
[64] eval-auc:0.698972 train-auc:0.769715
[65] eval-auc:0.698468 train-auc:0.770422
[66] eval-auc:0.698362 train-auc:0.771133
[67] eval-auc:0.699083 train-auc:0.772034
[68] eval-auc:0.6993 train-auc:0.772568
[69] eval-auc:0.698852 train-auc:0.773616
[70] eval-auc:0.697996 train-auc:0.774637
[71] eval-auc:0.699428 train-auc:0.776281
[72] eval-auc:0.700378 train-auc:0.776732
[73] eval-auc:0.699884 train-auc:0.776666
[74] eval-auc:0.700393 train-auc:0.778117
[75] eval-auc:0.700915 train-auc:0.779145
[76] eval-auc:0.701273 train-auc:0.779342
[77] eval-auc:0.700305 train-auc:0.779869
[78] eval-auc:0.700386 train-auc:0.781777
[79] eval-auc:0.700608 train-auc:0.78208
[80] eval-auc:0.701154 train-auc:0.782292
[81] eval-auc:0.702064 train-auc:0.782653
[82] eval-auc:0.701958 train-auc:0.783707
[83] eval-auc:0.702503 train-auc:0.784169
[84] eval-auc:0.702548 train-auc:0.784441
[85] eval-auc:0.702355 train-auc:0.784706
[86] eval-auc:0.702287 train-auc:0.785508
[87] eval-auc:0.700872 train-auc:0.786988
[88] eval-auc:0.701586 train-auc:0.787407
[89] eval-auc:0.700916 train-auc:0.788502
[90] eval-auc:0.700771 train-auc:0.789178
[91] eval-auc:0.700449 train-auc:0.789868
[92] eval-auc:0.699861 train-auc:0.790337
[93] eval-auc:0.699911 train-auc:0.7912
[94] eval-auc:0.69958 train-auc:0.791457
[95] eval-auc:0.7004 train-auc:0.791484
[96] eval-auc:0.700331 train-auc:0.791757
[97] eval-auc:0.7005 train-auc:0.793029
[98] eval-auc:0.700471 train-auc:0.793763
[99] eval-auc:0.70116 train-auc:0.794923
[100] eval-auc:0.701198 train-auc:0.795436
[101] eval-auc:0.701207 train-auc:0.795651
[102] eval-auc:0.700896 train-auc:0.796477
[103] eval-auc:0.700914 train-auc:0.796878
[104] eval-auc:0.701709 train-auc:0.797349
[105] eval-auc:0.700816 train-auc:0.79756
[106] eval-auc:0.700114 train-auc:0.799055
[107] eval-auc:0.700253 train-auc:0.798202
[108] eval-auc:0.700315 train-auc:0.798459
[109] eval-auc:0.69983 train-auc:0.7991
[110] eval-auc:0.699737 train-auc:0.798493
[111] eval-auc:0.700042 train-auc:0.799172
[112] eval-auc:0.699776 train-auc:0.799877
[113] eval-auc:0.700086 train-auc:0.800573
[114] eval-auc:0.699468 train-auc:0.801292
[115] eval-auc:0.698716 train-auc:0.802836
[116] eval-auc:0.698962 train-auc:0.803915
[117] eval-auc:0.698681 train-auc:0.804004
[118] eval-auc:0.69818 train-auc:0.804037
[119] eval-auc:0.698566 train-auc:0.803687
[120] eval-auc:0.698404 train-auc:0.803838
[121] eval-auc:0.698274 train-auc:0.803469
[122] eval-auc:0.699071 train-auc:0.804271
[123] eval-auc:0.699582 train-auc:0.805704
[124] eval-auc:0.699643 train-auc:0.805582
[125] eval-auc:0.69975 train-auc:0.80656
[126] eval-auc:0.699699 train-auc:0.807462
[127] eval-auc:0.700488 train-auc:0.808197
[128] eval-auc:0.700809 train-auc:0.80921
[129] eval-auc:0.701527 train-auc:0.810529
[130] eval-auc:0.701449 train-auc:0.81074
[131] eval-auc:0.701272 train-auc:0.810648
[132] eval-auc:0.701435 train-auc:0.810948
[133] eval-auc:0.701149 train-auc:0.811171
[134] eval-auc:0.701268 train-auc:0.811361
[135] eval-auc:0.700835 train-auc:0.811674
[136] eval-auc:0.700747 train-auc:0.812207
[137] eval-auc:0.699651 train-auc:0.81321
[138] eval-auc:0.700095 train-auc:0.814173
[139] eval-auc:0.699949 train-auc:0.81431
[140] eval-auc:0.699445 train-auc:0.815288
[141] eval-auc:0.700071 train-auc:0.815476
[142] eval-auc:0.699865 train-auc:0.816149
[143] eval-auc:0.699986 train-auc:0.816657
[144] eval-auc:0.700456 train-auc:0.816626
[145] eval-auc:0.700313 train-auc:0.816421
[146] eval-auc:0.700401 train-auc:0.816786
[147] eval-auc:0.70049 train-auc:0.816649
[148] eval-auc:0.700118 train-auc:0.817137
[149] eval-auc:0.700121 train-auc:0.817348
Score 0.7001212099063212
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.7000000000000001, 'eta': 0.30000000000000004, 'eval_metric': 'auc', 'gamma': 1.0, 'max_depth': 2, 'min_child_weight': 4.0, 'n_estimators': 113.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.8500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.669357 train-auc:0.684642
[1] eval-auc:0.667833 train-auc:0.693795
[2] eval-auc:0.673514 train-auc:0.703028
[3] eval-auc:0.670697 train-auc:0.706604
[4] eval-auc:0.691804 train-auc:0.712808
[5] eval-auc:0.689824 train-auc:0.710533
[6] eval-auc:0.688647 train-auc:0.71134
[7] eval-auc:0.68627 train-auc:0.716234
[8] eval-auc:0.69298 train-auc:0.717149
[9] eval-auc:0.697108 train-auc:0.720145
[10] eval-auc:0.69525 train-auc:0.720575
[11] eval-auc:0.697196 train-auc:0.722633
[12] eval-auc:0.697979 train-auc:0.724577
[13] eval-auc:0.70042 train-auc:0.726186
[14] eval-auc:0.702198 train-auc:0.727788
[15] eval-auc:0.702454 train-auc:0.728655
[16] eval-auc:0.703799 train-auc:0.731833
[17] eval-auc:0.704117 train-auc:0.736012
[18] eval-auc:0.704776 train-auc:0.738556
[19] eval-auc:0.705556 train-auc:0.740133
[20] eval-auc:0.705312 train-auc:0.74136
[21] eval-auc:0.706431 train-auc:0.741923
[22] eval-auc:0.704666 train-auc:0.742781
[23] eval-auc:0.704442 train-auc:0.743217
[24] eval-auc:0.705988 train-auc:0.746287
[25] eval-auc:0.70504 train-auc:0.746898
[26] eval-auc:0.705382 train-auc:0.747906
[27] eval-auc:0.707264 train-auc:0.751834
[28] eval-auc:0.707516 train-auc:0.751131
[29] eval-auc:0.70831 train-auc:0.752408
[30] eval-auc:0.710054 train-auc:0.755359
[31] eval-auc:0.709267 train-auc:0.755447
[32] eval-auc:0.708863 train-auc:0.757054
[33] eval-auc:0.709547 train-auc:0.757782
[34] eval-auc:0.70947 train-auc:0.758833
[35] eval-auc:0.709212 train-auc:0.760832
[36] eval-auc:0.71066 train-auc:0.762662
[37] eval-auc:0.710313 train-auc:0.764058
[38] eval-auc:0.710604 train-auc:0.765771
[39] eval-auc:0.710872 train-auc:0.76669
[40] eval-auc:0.711788 train-auc:0.769514
[41] eval-auc:0.712343 train-auc:0.770851
[42] eval-auc:0.713493 train-auc:0.772674
[43] eval-auc:0.712075 train-auc:0.77413
[44] eval-auc:0.710715 train-auc:0.773261
[45] eval-auc:0.710374 train-auc:0.776168
[46] eval-auc:0.709813 train-auc:0.775557
[47] eval-auc:0.706524 train-auc:0.776771
[48] eval-auc:0.705152 train-auc:0.777985
[49] eval-auc:0.705206 train-auc:0.778751
[50] eval-auc:0.702427 train-auc:0.779992
[51] eval-auc:0.700664 train-auc:0.781599
[52] eval-auc:0.701447 train-auc:0.783101
[53] eval-auc:0.701495 train-auc:0.783925
[54] eval-auc:0.700315 train-auc:0.785459
[55] eval-auc:0.700448 train-auc:0.787234
[56] eval-auc:0.700912 train-auc:0.788885
[57] eval-auc:0.701609 train-auc:0.78961
[58] eval-auc:0.701518 train-auc:0.790157
[59] eval-auc:0.702444 train-auc:0.792769
[60] eval-auc:0.702083 train-auc:0.794225
[61] eval-auc:0.702166 train-auc:0.795473
[62] eval-auc:0.702964 train-auc:0.796914
[63] eval-auc:0.702565 train-auc:0.798029
[64] eval-auc:0.702716 train-auc:0.799407
[65] eval-auc:0.702876 train-auc:0.798472
[66] eval-auc:0.702315 train-auc:0.799171
[67] eval-auc:0.703873 train-auc:0.80099
[68] eval-auc:0.703873 train-auc:0.801841
[69] eval-auc:0.704405 train-auc:0.803367
[70] eval-auc:0.704629 train-auc:0.804999
[71] eval-auc:0.705533 train-auc:0.805755
[72] eval-auc:0.706086 train-auc:0.806318
[73] eval-auc:0.705827 train-auc:0.807253
[74] eval-auc:0.705314 train-auc:0.807711
[75] eval-auc:0.705946 train-auc:0.808646
[76] eval-auc:0.705701 train-auc:0.808144
[77] eval-auc:0.702536 train-auc:0.809071
[78] eval-auc:0.702721 train-auc:0.809388
[79] eval-auc:0.703357 train-auc:0.810013
[80] eval-auc:0.703065 train-auc:0.810708
[81] eval-auc:0.705503 train-auc:0.811227
[82] eval-auc:0.706882 train-auc:0.81261
[83] eval-auc:0.706153 train-auc:0.812411
[84] eval-auc:0.706197 train-auc:0.814044
[85] eval-auc:0.706797 train-auc:0.814837
[86] eval-auc:0.706342 train-auc:0.815605
[87] eval-auc:0.706412 train-auc:0.816954
[88] eval-auc:0.705471 train-auc:0.818165
[89] eval-auc:0.705337 train-auc:0.817694
[90] eval-auc:0.70511 train-auc:0.818101
[91] eval-auc:0.704951 train-auc:0.818585
[92] eval-auc:0.70476 train-auc:0.819623
[93] eval-auc:0.705344 train-auc:0.820622
[94] eval-auc:0.704681 train-auc:0.821602
[95] eval-auc:0.705027 train-auc:0.819994
[96] eval-auc:0.705032 train-auc:0.820074
[97] eval-auc:0.705324 train-auc:0.820911
[98] eval-auc:0.70518 train-auc:0.82223
[99] eval-auc:0.704982 train-auc:0.822859
[100] eval-auc:0.703465 train-auc:0.823455
[101] eval-auc:0.703325 train-auc:0.823295
[102] eval-auc:0.703109 train-auc:0.824759
[103] eval-auc:0.703561 train-auc:0.825138
[104] eval-auc:0.703221 train-auc:0.825887
[105] eval-auc:0.70257 train-auc:0.827562
[106] eval-auc:0.703005 train-auc:0.828682
[107] eval-auc:0.703243 train-auc:0.829757
[108] eval-auc:0.703336 train-auc:0.830712
[109] eval-auc:0.703148 train-auc:0.831289
[110] eval-auc:0.702025 train-auc:0.831293
[111] eval-auc:0.702625 train-auc:0.83187
[112] eval-auc:0.703846 train-auc:0.83291
Score 0.7038458258719196
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.75, 'eta': 0.07500000000000001, 'eval_metric': 'auc', 'gamma': 0.9, 'max_depth': 6, 'min_child_weight': 4.0, 'n_estimators': 166.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.7000000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.62139 train-auc:0.723061
[1] eval-auc:0.627299 train-auc:0.759176
[2] eval-auc:0.630971 train-auc:0.787905
[3] eval-auc:0.642615 train-auc:0.793342
[4] eval-auc:0.671249 train-auc:0.812733
[5] eval-auc:0.67601 train-auc:0.823211
[6] eval-auc:0.676603 train-auc:0.830732
[7] eval-auc:0.672797 train-auc:0.835648
[8] eval-auc:0.680326 train-auc:0.84826
[9] eval-auc:0.680886 train-auc:0.84893
[10] eval-auc:0.68172 train-auc:0.857694
[11] eval-auc:0.682375 train-auc:0.859172
[12] eval-auc:0.681969 train-auc:0.858565
[13] eval-auc:0.682224 train-auc:0.858511
[14] eval-auc:0.684448 train-auc:0.859347
[15] eval-auc:0.682622 train-auc:0.865088
[16] eval-auc:0.679234 train-auc:0.868138
[17] eval-auc:0.684887 train-auc:0.875589
[18] eval-auc:0.685989 train-auc:0.877968
[19] eval-auc:0.687382 train-auc:0.882583
[20] eval-auc:0.687522 train-auc:0.885114
[21] eval-auc:0.688893 train-auc:0.887929
[22] eval-auc:0.688949 train-auc:0.893364
[23] eval-auc:0.690791 train-auc:0.897325
[24] eval-auc:0.691056 train-auc:0.903127
[25] eval-auc:0.690832 train-auc:0.905168
[26] eval-auc:0.690798 train-auc:0.906249
[27] eval-auc:0.691107 train-auc:0.910845
[28] eval-auc:0.69185 train-auc:0.911337
[29] eval-auc:0.691105 train-auc:0.912577
[30] eval-auc:0.690452 train-auc:0.914602
[31] eval-auc:0.689866 train-auc:0.91522
[32] eval-auc:0.689623 train-auc:0.917661
[33] eval-auc:0.689421 train-auc:0.918458
[34] eval-auc:0.689078 train-auc:0.920342
[35] eval-auc:0.690271 train-auc:0.922722
[36] eval-auc:0.691017 train-auc:0.923846
[37] eval-auc:0.691347 train-auc:0.92526
[38] eval-auc:0.691003 train-auc:0.925846
[39] eval-auc:0.689497 train-auc:0.927797
[40] eval-auc:0.68948 train-auc:0.928531
[41] eval-auc:0.689387 train-auc:0.930227
[42] eval-auc:0.690053 train-auc:0.930618
[43] eval-auc:0.690626 train-auc:0.931953
[44] eval-auc:0.692107 train-auc:0.934597
[45] eval-auc:0.693065 train-auc:0.935257
[46] eval-auc:0.693927 train-auc:0.937895
[47] eval-auc:0.692964 train-auc:0.93871
[48] eval-auc:0.692253 train-auc:0.939929
[49] eval-auc:0.692945 train-auc:0.941196
[50] eval-auc:0.69231 train-auc:0.941793
[51] eval-auc:0.690386 train-auc:0.942894
[52] eval-auc:0.692183 train-auc:0.944393
[53] eval-auc:0.692873 train-auc:0.945581
[54] eval-auc:0.693287 train-auc:0.946114
[55] eval-auc:0.693132 train-auc:0.948135
[56] eval-auc:0.692908 train-auc:0.950813
[57] eval-auc:0.692486 train-auc:0.952712
[58] eval-auc:0.692661 train-auc:0.952781
[59] eval-auc:0.693347 train-auc:0.95469
[60] eval-auc:0.693809 train-auc:0.95513
[61] eval-auc:0.694218 train-auc:0.955645
[62] eval-auc:0.694645 train-auc:0.956473
[63] eval-auc:0.695577 train-auc:0.957974
[64] eval-auc:0.695437 train-auc:0.958438
[65] eval-auc:0.695264 train-auc:0.958131
[66] eval-auc:0.694961 train-auc:0.958286
[67] eval-auc:0.695223 train-auc:0.95921
[68] eval-auc:0.695615 train-auc:0.960296
[69] eval-auc:0.695419 train-auc:0.96049
[70] eval-auc:0.696636 train-auc:0.962433
[71] eval-auc:0.696873 train-auc:0.963102
[72] eval-auc:0.69602 train-auc:0.963426
[73] eval-auc:0.695411 train-auc:0.963782
[74] eval-auc:0.695957 train-auc:0.964724
[75] eval-auc:0.696488 train-auc:0.965022
[76] eval-auc:0.696668 train-auc:0.965583
[77] eval-auc:0.696144 train-auc:0.966174
[78] eval-auc:0.696109 train-auc:0.966835
[79] eval-auc:0.694699 train-auc:0.967739
[80] eval-auc:0.695935 train-auc:0.96914
[81] eval-auc:0.696048 train-auc:0.96924
[82] eval-auc:0.695972 train-auc:0.969256
[83] eval-auc:0.695008 train-auc:0.969458
[84] eval-auc:0.69463 train-auc:0.969622
[85] eval-auc:0.695854 train-auc:0.970326
[86] eval-auc:0.696019 train-auc:0.970422
[87] eval-auc:0.695527 train-auc:0.970841
[88] eval-auc:0.695746 train-auc:0.971615
[89] eval-auc:0.69636 train-auc:0.972283
[90] eval-auc:0.696132 train-auc:0.972602
[91] eval-auc:0.696001 train-auc:0.973444
[92] eval-auc:0.696113 train-auc:0.974606
[93] eval-auc:0.695708 train-auc:0.97494
[94] eval-auc:0.696113 train-auc:0.975693
[95] eval-auc:0.696249 train-auc:0.976771
[96] eval-auc:0.695819 train-auc:0.977378
[97] eval-auc:0.695603 train-auc:0.977571
[98] eval-auc:0.695719 train-auc:0.978135
[99] eval-auc:0.696349 train-auc:0.978156
[100] eval-auc:0.696989 train-auc:0.978349
[101] eval-auc:0.697743 train-auc:0.978547
[102] eval-auc:0.697945 train-auc:0.978626
[103] eval-auc:0.698466 train-auc:0.97928
[104] eval-auc:0.698533 train-auc:0.979547
[105] eval-auc:0.697959 train-auc:0.979482
[106] eval-auc:0.698332 train-auc:0.980194
[107] eval-auc:0.698171 train-auc:0.980468
[108] eval-auc:0.697383 train-auc:0.980751
[109] eval-auc:0.697271 train-auc:0.980991
[110] eval-auc:0.697216 train-auc:0.981426
[111] eval-auc:0.697514 train-auc:0.982155
[112] eval-auc:0.697301 train-auc:0.982444
[113] eval-auc:0.697083 train-auc:0.982522
[114] eval-auc:0.696741 train-auc:0.982958
[115] eval-auc:0.69559 train-auc:0.983813
[116] eval-auc:0.695742 train-auc:0.984617
[117] eval-auc:0.696529 train-auc:0.984912
[118] eval-auc:0.697051 train-auc:0.984948
[119] eval-auc:0.697796 train-auc:0.985448
[120] eval-auc:0.697502 train-auc:0.985747
[121] eval-auc:0.698099 train-auc:0.986299
[122] eval-auc:0.698519 train-auc:0.986462
[123] eval-auc:0.698299 train-auc:0.986707
[124] eval-auc:0.698534 train-auc:0.986913
[125] eval-auc:0.698484 train-auc:0.986989
[126] eval-auc:0.69793 train-auc:0.987116
[127] eval-auc:0.698174 train-auc:0.987217
[128] eval-auc:0.698464 train-auc:0.987432
[129] eval-auc:0.698713 train-auc:0.987898
[130] eval-auc:0.698935 train-auc:0.988165
[131] eval-auc:0.699034 train-auc:0.988534
[132] eval-auc:0.698119 train-auc:0.988774
[133] eval-auc:0.69807 train-auc:0.989041
[134] eval-auc:0.697922 train-auc:0.989119
[135] eval-auc:0.697813 train-auc:0.989435
[136] eval-auc:0.69766 train-auc:0.989817
[137] eval-auc:0.698062 train-auc:0.989948
[138] eval-auc:0.697915 train-auc:0.990496
[139] eval-auc:0.697991 train-auc:0.990643
[140] eval-auc:0.698273 train-auc:0.99068
[141] eval-auc:0.698367 train-auc:0.990723
[142] eval-auc:0.698346 train-auc:0.990789
[143] eval-auc:0.698451 train-auc:0.990995
[144] eval-auc:0.698285 train-auc:0.991005
[145] eval-auc:0.698129 train-auc:0.991312
[146] eval-auc:0.698454 train-auc:0.991754
[147] eval-auc:0.69804 train-auc:0.991821
[148] eval-auc:0.697872 train-auc:0.991946
[149] eval-auc:0.697397 train-auc:0.991972
[150] eval-auc:0.697627 train-auc:0.992058
[151] eval-auc:0.697648 train-auc:0.992409
[152] eval-auc:0.697721 train-auc:0.992626
[153] eval-auc:0.697712 train-auc:0.99273
[154] eval-auc:0.698426 train-auc:0.992981
[155] eval-auc:0.698399 train-auc:0.993163
[156] eval-auc:0.699433 train-auc:0.993327
[157] eval-auc:0.699366 train-auc:0.993436
[158] eval-auc:0.699079 train-auc:0.993659
[159] eval-auc:0.699045 train-auc:0.993677
[160] eval-auc:0.698148 train-auc:0.993782
[161] eval-auc:0.698643 train-auc:0.993877
[162] eval-auc:0.698576 train-auc:0.994127
[163] eval-auc:0.6979 train-auc:0.994195
[164] eval-auc:0.698624 train-auc:0.994267
[165] eval-auc:0.698778 train-auc:0.994325
Score 0.6987781554166819
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.7000000000000001, 'eta': 0.225, 'eval_metric': 'auc', 'gamma': 1.0, 'max_depth': 13, 'min_child_weight': 4.0, 'n_estimators': 361.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.8, 'tree_method': 'exact'}
[0] eval-auc:0.62687 train-auc:0.824843
[1] eval-auc:0.632661 train-auc:0.888172
[2] eval-auc:0.62585 train-auc:0.932507
[3] eval-auc:0.636662 train-auc:0.951967
[4] eval-auc:0.663481 train-auc:0.971322
[5] eval-auc:0.659819 train-auc:0.982472
[6] eval-auc:0.671683 train-auc:0.986201
[7] eval-auc:0.666469 train-auc:0.990269
[8] eval-auc:0.671672 train-auc:0.99347
[9] eval-auc:0.668046 train-auc:0.994299
[10] eval-auc:0.662042 train-auc:0.996071
[11] eval-auc:0.660734 train-auc:0.997399
[12] eval-auc:0.658418 train-auc:0.997859
[13] eval-auc:0.658651 train-auc:0.998105
[14] eval-auc:0.655624 train-auc:0.998533
[15] eval-auc:0.654189 train-auc:0.999073
[16] eval-auc:0.652813 train-auc:0.999148
[17] eval-auc:0.667081 train-auc:0.9994
[18] eval-auc:0.663967 train-auc:0.999459
[19] eval-auc:0.671579 train-auc:0.999616
[20] eval-auc:0.669044 train-auc:0.999673
[21] eval-auc:0.670965 train-auc:0.999757
[22] eval-auc:0.675127 train-auc:0.999816
[23] eval-auc:0.675652 train-auc:0.999911
[24] eval-auc:0.681789 train-auc:0.999933
[25] eval-auc:0.681998 train-auc:0.99996
[26] eval-auc:0.681169 train-auc:0.999978
[27] eval-auc:0.681018 train-auc:0.999968
[28] eval-auc:0.680732 train-auc:0.999981
[29] eval-auc:0.677923 train-auc:0.999985
[30] eval-auc:0.678957 train-auc:0.999991
[31] eval-auc:0.679796 train-auc:0.999991
[32] eval-auc:0.680294 train-auc:0.999985
[33] eval-auc:0.681911 train-auc:0.999994
[34] eval-auc:0.681896 train-auc:0.999994
[35] eval-auc:0.68333 train-auc:0.999993
[36] eval-auc:0.683243 train-auc:0.999995
[37] eval-auc:0.680854 train-auc:0.999997
[38] eval-auc:0.680903 train-auc:0.999998
[39] eval-auc:0.679051 train-auc:1
[40] eval-auc:0.678713 train-auc:1
[41] eval-auc:0.679301 train-auc:1
[42] eval-auc:0.678591 train-auc:1
[43] eval-auc:0.678259 train-auc:1
[44] eval-auc:0.682486 train-auc:1
[45] eval-auc:0.681585 train-auc:1
[46] eval-auc:0.685054 train-auc:1
[47] eval-auc:0.684717 train-auc:1
[48] eval-auc:0.684361 train-auc:1
[49] eval-auc:0.684327 train-auc:1
[50] eval-auc:0.684656 train-auc:1
[51] eval-auc:0.684225 train-auc:1
[52] eval-auc:0.683883 train-auc:1
[53] eval-auc:0.68397 train-auc:1
[54] eval-auc:0.68373 train-auc:1
[55] eval-auc:0.683356 train-auc:1
[56] eval-auc:0.684111 train-auc:1
[57] eval-auc:0.684219 train-auc:1
[58] eval-auc:0.684202 train-auc:1
[59] eval-auc:0.68322 train-auc:1
[60] eval-auc:0.683211 train-auc:1
[61] eval-auc:0.682669 train-auc:1
[62] eval-auc:0.683886 train-auc:1
[63] eval-auc:0.683615 train-auc:1
[64] eval-auc:0.68344 train-auc:1
[65] eval-auc:0.684951 train-auc:1
[66] eval-auc:0.684944 train-auc:1
[67] eval-auc:0.684725 train-auc:1
[68] eval-auc:0.685361 train-auc:1
[69] eval-auc:0.685337 train-auc:1
[70] eval-auc:0.686668 train-auc:1
[71] eval-auc:0.685418 train-auc:1
[72] eval-auc:0.683779 train-auc:1
[73] eval-auc:0.683117 train-auc:1
[74] eval-auc:0.682978 train-auc:1
[75] eval-auc:0.682614 train-auc:1
[76] eval-auc:0.682307 train-auc:1
[77] eval-auc:0.681985 train-auc:1
[78] eval-auc:0.681376 train-auc:1
[79] eval-auc:0.680964 train-auc:1
[80] eval-auc:0.680317 train-auc:1
[81] eval-auc:0.679511 train-auc:1
[82] eval-auc:0.679634 train-auc:1
[83] eval-auc:0.680333 train-auc:1
[84] eval-auc:0.680816 train-auc:1
[85] eval-auc:0.680828 train-auc:1
[86] eval-auc:0.681699 train-auc:1
[87] eval-auc:0.683065 train-auc:1
[88] eval-auc:0.683336 train-auc:1
[89] eval-auc:0.683683 train-auc:1
[90] eval-auc:0.683563 train-auc:1
[91] eval-auc:0.682515 train-auc:1
[92] eval-auc:0.681865 train-auc:1
[93] eval-auc:0.682055 train-auc:1
[94] eval-auc:0.680688 train-auc:1
[95] eval-auc:0.681241 train-auc:1
[96] eval-auc:0.680849 train-auc:1
[97] eval-auc:0.681181 train-auc:1
[98] eval-auc:0.681589 train-auc:1
[99] eval-auc:0.681198 train-auc:1
[100] eval-auc:0.68042 train-auc:1
[101] eval-auc:0.679775 train-auc:1
[102] eval-auc:0.67935 train-auc:1
[103] eval-auc:0.68074 train-auc:1
[104] eval-auc:0.680336 train-auc:1
[105] eval-auc:0.680184 train-auc:1
[106] eval-auc:0.679383 train-auc:1
[107] eval-auc:0.679441 train-auc:1
[108] eval-auc:0.679051 train-auc:1
[109] eval-auc:0.678169 train-auc:1
[110] eval-auc:0.677872 train-auc:1
[111] eval-auc:0.677761 train-auc:1
[112] eval-auc:0.677777 train-auc:1
[113] eval-auc:0.679235 train-auc:1
[114] eval-auc:0.679517 train-auc:1
[115] eval-auc:0.678881 train-auc:1
[116] eval-auc:0.678891 train-auc:1
[117] eval-auc:0.679018 train-auc:1
[118] eval-auc:0.67945 train-auc:1
[119] eval-auc:0.679718 train-auc:1
[120] eval-auc:0.679413 train-auc:1
[121] eval-auc:0.679438 train-auc:1
[122] eval-auc:0.680309 train-auc:1
[123] eval-auc:0.679726 train-auc:1
[124] eval-auc:0.680192 train-auc:1
[125] eval-auc:0.679541 train-auc:1
[126] eval-auc:0.679619 train-auc:1
[127] eval-auc:0.680129 train-auc:1
[128] eval-auc:0.680221 train-auc:1
[129] eval-auc:0.680496 train-auc:1
[130] eval-auc:0.680813 train-auc:1
[131] eval-auc:0.681002 train-auc:1
[132] eval-auc:0.681145 train-auc:1
[133] eval-auc:0.680828 train-auc:1
[134] eval-auc:0.680444 train-auc:1
[135] eval-auc:0.680068 train-auc:1
[136] eval-auc:0.679843 train-auc:1
[137] eval-auc:0.679758 train-auc:1
[138] eval-auc:0.680111 train-auc:1
[139] eval-auc:0.680301 train-auc:1
[140] eval-auc:0.680265 train-auc:1
[141] eval-auc:0.679683 train-auc:1
[142] eval-auc:0.679579 train-auc:1
[143] eval-auc:0.679328 train-auc:1
[144] eval-auc:0.678922 train-auc:1
[145] eval-auc:0.678756 train-auc:1
[146] eval-auc:0.678456 train-auc:1
[147] eval-auc:0.67843 train-auc:1
[148] eval-auc:0.678986 train-auc:1
[149] eval-auc:0.678858 train-auc:1
[150] eval-auc:0.678754 train-auc:1
[151] eval-auc:0.678177 train-auc:1
[152] eval-auc:0.678402 train-auc:1
[153] eval-auc:0.678564 train-auc:1
[154] eval-auc:0.678806 train-auc:1
[155] eval-auc:0.678453 train-auc:1
[156] eval-auc:0.678782 train-auc:1
[157] eval-auc:0.678782 train-auc:1
[158] eval-auc:0.678782 train-auc:1
[159] eval-auc:0.678701 train-auc:1
[160] eval-auc:0.678591 train-auc:1
[161] eval-auc:0.678645 train-auc:1
[162] eval-auc:0.67885 train-auc:1
[163] eval-auc:0.678556 train-auc:1
[164] eval-auc:0.67845 train-auc:1
[165] eval-auc:0.678654 train-auc:1
[166] eval-auc:0.678654 train-auc:1
[167] eval-auc:0.678911 train-auc:1
[168] eval-auc:0.679378 train-auc:1
[169] eval-auc:0.679304 train-auc:1
[170] eval-auc:0.679319 train-auc:1
[171] eval-auc:0.679342 train-auc:1
[172] eval-auc:0.679368 train-auc:1
[173] eval-auc:0.678713 train-auc:1
[174] eval-auc:0.678605 train-auc:1
[175] eval-auc:0.67859 train-auc:1
[176] eval-auc:0.678256 train-auc:1
[177] eval-auc:0.677965 train-auc:1
[178] eval-auc:0.678673 train-auc:1
[179] eval-auc:0.678619 train-auc:1
[180] eval-auc:0.678742 train-auc:1
[181] eval-auc:0.678742 train-auc:1
[182] eval-auc:0.678539 train-auc:1
[183] eval-auc:0.678504 train-auc:1
[184] eval-auc:0.678479 train-auc:1
[185] eval-auc:0.67868 train-auc:1
[186] eval-auc:0.679135 train-auc:1
[187] eval-auc:0.679135 train-auc:1
[188] eval-auc:0.679065 train-auc:1
[189] eval-auc:0.679065 train-auc:1
[190] eval-auc:0.679065 train-auc:1
[191] eval-auc:0.679065 train-auc:1
[192] eval-auc:0.679136 train-auc:1
[193] eval-auc:0.678891 train-auc:1
[194] eval-auc:0.678891 train-auc:1
[195] eval-auc:0.678707 train-auc:1
[196] eval-auc:0.678882 train-auc:1
[197] eval-auc:0.678981 train-auc:1
[198] eval-auc:0.678928 train-auc:1
[199] eval-auc:0.678948 train-auc:1
[200] eval-auc:0.678514 train-auc:1
[201] eval-auc:0.678514 train-auc:1
[202] eval-auc:0.678575 train-auc:1
[203] eval-auc:0.678578 train-auc:1
[204] eval-auc:0.678673 train-auc:1
[205] eval-auc:0.678673 train-auc:1
[206] eval-auc:0.678734 train-auc:1
[207] eval-auc:0.678472 train-auc:1
[208] eval-auc:0.678489 train-auc:1
[209] eval-auc:0.67837 train-auc:1
[210] eval-auc:0.678151 train-auc:1
[211] eval-auc:0.678151 train-auc:1
[212] eval-auc:0.678136 train-auc:1
[213] eval-auc:0.678393 train-auc:1
[214] eval-auc:0.678393 train-auc:1
[215] eval-auc:0.678393 train-auc:1
[216] eval-auc:0.678393 train-auc:1
[217] eval-auc:0.678261 train-auc:1
[218] eval-auc:0.678261 train-auc:1
[219] eval-auc:0.678205 train-auc:1
[220] eval-auc:0.677934 train-auc:1
[221] eval-auc:0.677404 train-auc:1
[222] eval-auc:0.677603 train-auc:1
[223] eval-auc:0.677901 train-auc:1
[224] eval-auc:0.677743 train-auc:1
[225] eval-auc:0.678186 train-auc:1
[226] eval-auc:0.678186 train-auc:1
[227] eval-auc:0.678294 train-auc:1
[228] eval-auc:0.678294 train-auc:1
[229] eval-auc:0.678032 train-auc:1
[230] eval-auc:0.677346 train-auc:1
[231] eval-auc:0.677245 train-auc:1
[232] eval-auc:0.677256 train-auc:1
[233] eval-auc:0.677256 train-auc:1
[234] eval-auc:0.677209 train-auc:1
[235] eval-auc:0.677027 train-auc:1
[236] eval-auc:0.676856 train-auc:1
[237] eval-auc:0.676856 train-auc:1
[238] eval-auc:0.676856 train-auc:1
[239] eval-auc:0.676856 train-auc:1
[240] eval-auc:0.676582 train-auc:1
[241] eval-auc:0.676485 train-auc:1
[242] eval-auc:0.676813 train-auc:1
[243] eval-auc:0.676881 train-auc:1
[244] eval-auc:0.677174 train-auc:1
[245] eval-auc:0.677174 train-auc:1
[246] eval-auc:0.676966 train-auc:1
[247] eval-auc:0.676966 train-auc:1
[248] eval-auc:0.676966 train-auc:1
[249] eval-auc:0.677548 train-auc:1
[250] eval-auc:0.677889 train-auc:1
[251] eval-auc:0.677956 train-auc:1
[252] eval-auc:0.67792 train-auc:1
[253] eval-auc:0.677874 train-auc:1
[254] eval-auc:0.677874 train-auc:1
[255] eval-auc:0.677874 train-auc:1
[256] eval-auc:0.677854 train-auc:1
[257] eval-auc:0.678063 train-auc:1
[258] eval-auc:0.67838 train-auc:1
[259] eval-auc:0.678597 train-auc:1
[260] eval-auc:0.678597 train-auc:1
[261] eval-auc:0.678597 train-auc:1
[262] eval-auc:0.678823 train-auc:1
[263] eval-auc:0.679103 train-auc:1
[264] eval-auc:0.679002 train-auc:1
[265] eval-auc:0.679193 train-auc:1
[266] eval-auc:0.679409 train-auc:1
[267] eval-auc:0.67912 train-auc:1
[268] eval-auc:0.678791 train-auc:1
[269] eval-auc:0.678791 train-auc:1
[270] eval-auc:0.678363 train-auc:1
[271] eval-auc:0.678363 train-auc:1
[272] eval-auc:0.678363 train-auc:1
[273] eval-auc:0.678363 train-auc:1
[274] eval-auc:0.677783 train-auc:1
[275] eval-auc:0.677726 train-auc:1
[276] eval-auc:0.678113 train-auc:1
[277] eval-auc:0.678113 train-auc:1
[278] eval-auc:0.678113 train-auc:1
[279] eval-auc:0.678113 train-auc:1
[280] eval-auc:0.678025 train-auc:1
[281] eval-auc:0.678025 train-auc:1
[282] eval-auc:0.678078 train-auc:1
[283] eval-auc:0.677993 train-auc:1
[284] eval-auc:0.678323 train-auc:1
[285] eval-auc:0.678323 train-auc:1
[286] eval-auc:0.678323 train-auc:1
[287] eval-auc:0.678195 train-auc:1
[288] eval-auc:0.678195 train-auc:1
[289] eval-auc:0.678195 train-auc:1
[290] eval-auc:0.681264 train-auc:1
[291] eval-auc:0.680578 train-auc:1
[292] eval-auc:0.680578 train-auc:1
[293] eval-auc:0.680956 train-auc:1
[294] eval-auc:0.680956 train-auc:1
[295] eval-auc:0.680524 train-auc:1
[296] eval-auc:0.680347 train-auc:1
[297] eval-auc:0.680227 train-auc:1
[298] eval-auc:0.680227 train-auc:1
[299] eval-auc:0.680227 train-auc:1
[300] eval-auc:0.680227 train-auc:1
[301] eval-auc:0.680466 train-auc:1
[302] eval-auc:0.680023 train-auc:1
[303] eval-auc:0.679971 train-auc:1
[304] eval-auc:0.680272 train-auc:1
[305] eval-auc:0.679921 train-auc:1
[306] eval-auc:0.679921 train-auc:1
[307] eval-auc:0.679921 train-auc:1
[308] eval-auc:0.679921 train-auc:1
[309] eval-auc:0.679921 train-auc:1
[310] eval-auc:0.679921 train-auc:1
[311] eval-auc:0.679921 train-auc:1
[312] eval-auc:0.679921 train-auc:1
[313] eval-auc:0.680999 train-auc:1
[314] eval-auc:0.680955 train-auc:1
[315] eval-auc:0.680792 train-auc:1
[316] eval-auc:0.680792 train-auc:1
[317] eval-auc:0.680792 train-auc:1
[318] eval-auc:0.680792 train-auc:1
[319] eval-auc:0.680792 train-auc:1
[320] eval-auc:0.680865 train-auc:1
[321] eval-auc:0.680572 train-auc:1
[322] eval-auc:0.680572 train-auc:1
[323] eval-auc:0.680572 train-auc:1
[324] eval-auc:0.680572 train-auc:1
[325] eval-auc:0.680572 train-auc:1
[326] eval-auc:0.680572 train-auc:1
[327] eval-auc:0.680572 train-auc:1
[328] eval-auc:0.680572 train-auc:1
[329] eval-auc:0.680572 train-auc:1
[330] eval-auc:0.680572 train-auc:1
[331] eval-auc:0.680572 train-auc:1
[332] eval-auc:0.680572 train-auc:1
[333] eval-auc:0.680572 train-auc:1
[334] eval-auc:0.680572 train-auc:1
[335] eval-auc:0.68037 train-auc:1
[336] eval-auc:0.68037 train-auc:1
[337] eval-auc:0.68037 train-auc:1
[338] eval-auc:0.68037 train-auc:1
[339] eval-auc:0.68037 train-auc:1
[340] eval-auc:0.680263 train-auc:1
[341] eval-auc:0.680263 train-auc:1
[342] eval-auc:0.679983 train-auc:1
[343] eval-auc:0.680387 train-auc:1
[344] eval-auc:0.680387 train-auc:1
[345] eval-auc:0.679683 train-auc:1
[346] eval-auc:0.679683 train-auc:1
[347] eval-auc:0.680324 train-auc:1
[348] eval-auc:0.680324 train-auc:1
[349] eval-auc:0.680324 train-auc:1
[350] eval-auc:0.680324 train-auc:1
[351] eval-auc:0.680612 train-auc:1
[352] eval-auc:0.680612 train-auc:1
[353] eval-auc:0.681227 train-auc:1
[354] eval-auc:0.681232 train-auc:1
[355] eval-auc:0.681232 train-auc:1
[356] eval-auc:0.681232 train-auc:1
[357] eval-auc:0.681232 train-auc:1
[358] eval-auc:0.681232 train-auc:1
[359] eval-auc:0.681232 train-auc:1
[360] eval-auc:0.681232 train-auc:1
Score 0.6812316510129249
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.6000000000000001, 'eta': 0.2, 'eval_metric': 'auc', 'gamma': 1.0, 'max_depth': 1, 'min_child_weight': 3.0, 'n_estimators': 258.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9, 'tree_method': 'exact'}
[0] eval-auc:0.548351 train-auc:0.559549
[1] eval-auc:0.6691 train-auc:0.677286
[2] eval-auc:0.6691 train-auc:0.677286
[3] eval-auc:0.6691 train-auc:0.677286
[4] eval-auc:0.6691 train-auc:0.677286
[5] eval-auc:0.698665 train-auc:0.69891
[6] eval-auc:0.698665 train-auc:0.69891
[7] eval-auc:0.698665 train-auc:0.69891
[8] eval-auc:0.698498 train-auc:0.698948
[9] eval-auc:0.698684 train-auc:0.699204
[10] eval-auc:0.698474 train-auc:0.6991
[11] eval-auc:0.699695 train-auc:0.698738
[12] eval-auc:0.699591 train-auc:0.698724
[13] eval-auc:0.69837 train-auc:0.699086
[14] eval-auc:0.69837 train-auc:0.699086
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[68] eval-auc:0.704798 train-auc:0.716596
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[90] eval-auc:0.701256 train-auc:0.719502
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[114] eval-auc:0.701605 train-auc:0.721827
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[120] eval-auc:0.701981 train-auc:0.722362
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[157] eval-auc:0.700994 train-auc:0.725688
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[162] eval-auc:0.702034 train-auc:0.726338
[163] eval-auc:0.701175 train-auc:0.72639
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[169] eval-auc:0.701307 train-auc:0.726512
[170] eval-auc:0.701282 train-auc:0.726574
[171] eval-auc:0.701557 train-auc:0.726662
[172] eval-auc:0.701711 train-auc:0.726898
[173] eval-auc:0.701947 train-auc:0.727043
[174] eval-auc:0.701836 train-auc:0.727098
[175] eval-auc:0.701903 train-auc:0.727345
[176] eval-auc:0.702507 train-auc:0.727434
[177] eval-auc:0.701065 train-auc:0.727595
[178] eval-auc:0.700848 train-auc:0.727615
[179] eval-auc:0.701699 train-auc:0.727682
[180] eval-auc:0.701447 train-auc:0.727829
[181] eval-auc:0.701598 train-auc:0.728026
[182] eval-auc:0.701301 train-auc:0.728079
[183] eval-auc:0.701446 train-auc:0.728181
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[186] eval-auc:0.702265 train-auc:0.728311
[187] eval-auc:0.701441 train-auc:0.728416
[188] eval-auc:0.701288 train-auc:0.728525
[189] eval-auc:0.701534 train-auc:0.7286
[190] eval-auc:0.702008 train-auc:0.728659
[191] eval-auc:0.70138 train-auc:0.728825
[192] eval-auc:0.700835 train-auc:0.728744
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[195] eval-auc:0.700991 train-auc:0.728866
[196] eval-auc:0.701044 train-auc:0.729136
[197] eval-auc:0.700963 train-auc:0.728869
[198] eval-auc:0.700883 train-auc:0.729016
[199] eval-auc:0.701056 train-auc:0.729083
[200] eval-auc:0.701513 train-auc:0.729128
[201] eval-auc:0.701582 train-auc:0.729227
[202] eval-auc:0.701411 train-auc:0.729412
[203] eval-auc:0.701537 train-auc:0.729788
[204] eval-auc:0.701714 train-auc:0.729928
[205] eval-auc:0.70155 train-auc:0.729838
[206] eval-auc:0.701475 train-auc:0.729864
[207] eval-auc:0.70124 train-auc:0.7299
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[209] eval-auc:0.701064 train-auc:0.730013
[210] eval-auc:0.700994 train-auc:0.729953
[211] eval-auc:0.701119 train-auc:0.729983
[212] eval-auc:0.701225 train-auc:0.730359
[213] eval-auc:0.701317 train-auc:0.730597
[214] eval-auc:0.700717 train-auc:0.730784
[215] eval-auc:0.700781 train-auc:0.731056
[216] eval-auc:0.701167 train-auc:0.731085
[217] eval-auc:0.701444 train-auc:0.731276
[218] eval-auc:0.701412 train-auc:0.731262
[219] eval-auc:0.701585 train-auc:0.731523
[220] eval-auc:0.701825 train-auc:0.731753
[221] eval-auc:0.701644 train-auc:0.731778
[222] eval-auc:0.700759 train-auc:0.731607
[223] eval-auc:0.700621 train-auc:0.731623
[224] eval-auc:0.700541 train-auc:0.731706
[225] eval-auc:0.699964 train-auc:0.731757
[226] eval-auc:0.700295 train-auc:0.731958
[227] eval-auc:0.699728 train-auc:0.731899
[228] eval-auc:0.699736 train-auc:0.732046
[229] eval-auc:0.699349 train-auc:0.732132
[230] eval-auc:0.699305 train-auc:0.731927
[231] eval-auc:0.69887 train-auc:0.732008
[232] eval-auc:0.698844 train-auc:0.731976
[233] eval-auc:0.698898 train-auc:0.732098
[234] eval-auc:0.698486 train-auc:0.732151
[235] eval-auc:0.698288 train-auc:0.731979
[236] eval-auc:0.698722 train-auc:0.73215
[237] eval-auc:0.698372 train-auc:0.73223
[238] eval-auc:0.697776 train-auc:0.732224
[239] eval-auc:0.69779 train-auc:0.732291
[240] eval-auc:0.697773 train-auc:0.73227
[241] eval-auc:0.696792 train-auc:0.732393
[242] eval-auc:0.696856 train-auc:0.732065
[243] eval-auc:0.696875 train-auc:0.732159
[244] eval-auc:0.696633 train-auc:0.732234
[245] eval-auc:0.696722 train-auc:0.732398
[246] eval-auc:0.696654 train-auc:0.732419
[247] eval-auc:0.696569 train-auc:0.732538
[248] eval-auc:0.696636 train-auc:0.732705
[249] eval-auc:0.696773 train-auc:0.73288
[250] eval-auc:0.697458 train-auc:0.73294
[251] eval-auc:0.69754 train-auc:0.733111
[252] eval-auc:0.697418 train-auc:0.733187
[253] eval-auc:0.697423 train-auc:0.73295
[254] eval-auc:0.697604 train-auc:0.733237
[255] eval-auc:0.69779 train-auc:0.73335
[256] eval-auc:0.698012 train-auc:0.733402
[257] eval-auc:0.697539 train-auc:0.733582
Score 0.6975386470781711
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8, 'eta': 0.35000000000000003, 'eval_metric': 'auc', 'gamma': 0.9500000000000001, 'max_depth': 5, 'min_child_weight': 5.0, 'n_estimators': 326.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.8500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.639168 train-auc:0.720253
[1] eval-auc:0.655175 train-auc:0.749694
[2] eval-auc:0.655858 train-auc:0.776775
[3] eval-auc:0.662619 train-auc:0.790919
[4] eval-auc:0.689753 train-auc:0.825488
[5] eval-auc:0.6934 train-auc:0.834575
[6] eval-auc:0.697708 train-auc:0.838234
[7] eval-auc:0.697541 train-auc:0.844557
[8] eval-auc:0.695043 train-auc:0.857015
[9] eval-auc:0.692935 train-auc:0.86396
[10] eval-auc:0.693723 train-auc:0.867885
[11] eval-auc:0.693761 train-auc:0.869446
[12] eval-auc:0.691618 train-auc:0.870738
[13] eval-auc:0.691539 train-auc:0.876123
[14] eval-auc:0.688803 train-auc:0.882754
[15] eval-auc:0.686999 train-auc:0.890334
[16] eval-auc:0.687806 train-auc:0.897768
[17] eval-auc:0.686707 train-auc:0.899701
[18] eval-auc:0.683792 train-auc:0.903804
[19] eval-auc:0.683796 train-auc:0.906925
[20] eval-auc:0.683055 train-auc:0.911113
[21] eval-auc:0.684142 train-auc:0.914576
[22] eval-auc:0.682519 train-auc:0.919328
[23] eval-auc:0.680633 train-auc:0.923842
[24] eval-auc:0.680418 train-auc:0.926215
[25] eval-auc:0.681801 train-auc:0.929406
[26] eval-auc:0.679424 train-auc:0.931441
[27] eval-auc:0.683461 train-auc:0.935751
[28] eval-auc:0.687201 train-auc:0.937815
[29] eval-auc:0.686012 train-auc:0.938221
[30] eval-auc:0.687469 train-auc:0.943312
[31] eval-auc:0.686957 train-auc:0.944659
[32] eval-auc:0.685011 train-auc:0.946178
[33] eval-auc:0.684065 train-auc:0.948933
[34] eval-auc:0.682823 train-auc:0.952293
[35] eval-auc:0.685081 train-auc:0.954657
[36] eval-auc:0.684713 train-auc:0.956657
[37] eval-auc:0.684413 train-auc:0.959181
[38] eval-auc:0.684385 train-auc:0.961166
[39] eval-auc:0.683569 train-auc:0.962688
[40] eval-auc:0.680894 train-auc:0.963559
[41] eval-auc:0.67838 train-auc:0.964625
[42] eval-auc:0.677659 train-auc:0.964944
[43] eval-auc:0.677169 train-auc:0.965098
[44] eval-auc:0.675815 train-auc:0.966066
[45] eval-auc:0.673249 train-auc:0.966967
[46] eval-auc:0.678584 train-auc:0.969782
[47] eval-auc:0.677155 train-auc:0.970449
[48] eval-auc:0.676472 train-auc:0.971449
[49] eval-auc:0.677845 train-auc:0.972898
[50] eval-auc:0.679292 train-auc:0.973557
[51] eval-auc:0.676242 train-auc:0.974674
[52] eval-auc:0.67555 train-auc:0.974825
[53] eval-auc:0.675591 train-auc:0.974941
[54] eval-auc:0.674667 train-auc:0.975438
[55] eval-auc:0.67469 train-auc:0.976386
[56] eval-auc:0.675453 train-auc:0.977957
[57] eval-auc:0.675955 train-auc:0.97826
[58] eval-auc:0.675348 train-auc:0.978691
[59] eval-auc:0.675637 train-auc:0.979465
[60] eval-auc:0.674381 train-auc:0.980102
[61] eval-auc:0.675212 train-auc:0.980847
[62] eval-auc:0.67441 train-auc:0.981156
[63] eval-auc:0.677301 train-auc:0.98261
[64] eval-auc:0.679834 train-auc:0.983015
[65] eval-auc:0.680062 train-auc:0.983282
[66] eval-auc:0.68024 train-auc:0.98361
[67] eval-auc:0.679898 train-auc:0.984527
[68] eval-auc:0.680012 train-auc:0.984791
[69] eval-auc:0.677932 train-auc:0.985154
[70] eval-auc:0.677023 train-auc:0.985602
[71] eval-auc:0.676888 train-auc:0.98601
[72] eval-auc:0.67555 train-auc:0.986248
[73] eval-auc:0.675424 train-auc:0.986604
[74] eval-auc:0.674507 train-auc:0.987153
[75] eval-auc:0.674991 train-auc:0.987933
[76] eval-auc:0.675354 train-auc:0.988117
[77] eval-auc:0.676293 train-auc:0.988411
[78] eval-auc:0.677026 train-auc:0.988864
[79] eval-auc:0.677271 train-auc:0.988952
[80] eval-auc:0.676872 train-auc:0.989788
[81] eval-auc:0.677802 train-auc:0.990064
[82] eval-auc:0.677422 train-auc:0.990223
[83] eval-auc:0.678894 train-auc:0.99059
[84] eval-auc:0.68116 train-auc:0.990992
[85] eval-auc:0.682331 train-auc:0.991584
[86] eval-auc:0.681806 train-auc:0.99169
[87] eval-auc:0.682657 train-auc:0.991771
[88] eval-auc:0.683025 train-auc:0.991834
[89] eval-auc:0.682777 train-auc:0.992023
[90] eval-auc:0.682961 train-auc:0.99244
[91] eval-auc:0.683 train-auc:0.992611
[92] eval-auc:0.683166 train-auc:0.992744
[93] eval-auc:0.683325 train-auc:0.992797
[94] eval-auc:0.682291 train-auc:0.99306
[95] eval-auc:0.681692 train-auc:0.993295
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[99] eval-auc:0.683031 train-auc:0.994097
[100] eval-auc:0.683511 train-auc:0.994219
[101] eval-auc:0.683039 train-auc:0.994496
[102] eval-auc:0.682718 train-auc:0.994682
[103] eval-auc:0.682543 train-auc:0.99483
[104] eval-auc:0.683564 train-auc:0.995143
[105] eval-auc:0.683883 train-auc:0.99526
[106] eval-auc:0.682986 train-auc:0.99553
[107] eval-auc:0.68336 train-auc:0.995646
[108] eval-auc:0.68329 train-auc:0.995837
[109] eval-auc:0.684429 train-auc:0.996019
[110] eval-auc:0.684343 train-auc:0.9961
[111] eval-auc:0.683204 train-auc:0.996303
[112] eval-auc:0.682573 train-auc:0.996369
[113] eval-auc:0.683141 train-auc:0.996519
[114] eval-auc:0.682926 train-auc:0.996745
[115] eval-auc:0.682059 train-auc:0.99681
[116] eval-auc:0.68307 train-auc:0.997003
[117] eval-auc:0.682754 train-auc:0.997093
[118] eval-auc:0.682683 train-auc:0.997137
[119] eval-auc:0.684107 train-auc:0.997127
[120] eval-auc:0.683536 train-auc:0.997313
[121] eval-auc:0.682805 train-auc:0.997406
[122] eval-auc:0.681844 train-auc:0.997536
[123] eval-auc:0.681408 train-auc:0.997617
[124] eval-auc:0.683263 train-auc:0.997767
[125] eval-auc:0.683472 train-auc:0.997846
[126] eval-auc:0.682899 train-auc:0.99801
[127] eval-auc:0.683123 train-auc:0.998018
[128] eval-auc:0.68123 train-auc:0.998078
[129] eval-auc:0.681009 train-auc:0.998114
[130] eval-auc:0.679473 train-auc:0.99817
[131] eval-auc:0.678801 train-auc:0.99811
[132] eval-auc:0.679753 train-auc:0.998183
[133] eval-auc:0.679235 train-auc:0.998261
[134] eval-auc:0.678244 train-auc:0.998361
[135] eval-auc:0.677636 train-auc:0.998421
[136] eval-auc:0.678777 train-auc:0.998479
[137] eval-auc:0.678815 train-auc:0.998537
[138] eval-auc:0.680059 train-auc:0.998601
[139] eval-auc:0.679156 train-auc:0.998611
[140] eval-auc:0.678252 train-auc:0.998655
[141] eval-auc:0.679261 train-auc:0.998718
[142] eval-auc:0.678468 train-auc:0.998755
[143] eval-auc:0.677671 train-auc:0.998795
[144] eval-auc:0.676884 train-auc:0.998845
[145] eval-auc:0.677431 train-auc:0.998858
[146] eval-auc:0.676429 train-auc:0.99895
[147] eval-auc:0.676609 train-auc:0.998998
[148] eval-auc:0.677461 train-auc:0.99903
[149] eval-auc:0.677961 train-auc:0.999044
[150] eval-auc:0.679421 train-auc:0.999111
[151] eval-auc:0.678613 train-auc:0.999134
[152] eval-auc:0.677892 train-auc:0.999193
[153] eval-auc:0.678246 train-auc:0.999261
[154] eval-auc:0.678789 train-auc:0.999326
[155] eval-auc:0.678951 train-auc:0.999323
[156] eval-auc:0.679229 train-auc:0.999352
[157] eval-auc:0.679316 train-auc:0.999336
[158] eval-auc:0.67965 train-auc:0.99937
[159] eval-auc:0.679167 train-auc:0.999386
[160] eval-auc:0.680027 train-auc:0.99946
[161] eval-auc:0.678788 train-auc:0.999532
[162] eval-auc:0.678606 train-auc:0.999544
[163] eval-auc:0.677419 train-auc:0.999567
[164] eval-auc:0.677964 train-auc:0.999635
[165] eval-auc:0.677394 train-auc:0.999641
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[167] eval-auc:0.675902 train-auc:0.999656
[168] eval-auc:0.675753 train-auc:0.999677
[169] eval-auc:0.675753 train-auc:0.999708
[170] eval-auc:0.675558 train-auc:0.999713
[171] eval-auc:0.675305 train-auc:0.999704
[172] eval-auc:0.674792 train-auc:0.999693
[173] eval-auc:0.674964 train-auc:0.999718
[174] eval-auc:0.67495 train-auc:0.99974
[175] eval-auc:0.67423 train-auc:0.999767
[176] eval-auc:0.674506 train-auc:0.999758
[177] eval-auc:0.674209 train-auc:0.999764
[178] eval-auc:0.67517 train-auc:0.999745
[179] eval-auc:0.675689 train-auc:0.999748
[180] eval-auc:0.675159 train-auc:0.999823
[181] eval-auc:0.674469 train-auc:0.999839
[182] eval-auc:0.673517 train-auc:0.999852
[183] eval-auc:0.672458 train-auc:0.999853
[184] eval-auc:0.67127 train-auc:0.999875
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[186] eval-auc:0.672681 train-auc:0.999898
[187] eval-auc:0.67347 train-auc:0.999894
[188] eval-auc:0.672403 train-auc:0.99991
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[200] eval-auc:0.675887 train-auc:0.999965
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[202] eval-auc:0.675884 train-auc:0.999981
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[208] eval-auc:0.67712 train-auc:0.999983
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[211] eval-auc:0.678262 train-auc:0.999987
[212] eval-auc:0.677883 train-auc:0.999989
[213] eval-auc:0.678447 train-auc:0.999991
[214] eval-auc:0.679155 train-auc:0.999993
[215] eval-auc:0.679666 train-auc:0.999995
[216] eval-auc:0.679851 train-auc:0.999997
[217] eval-auc:0.680038 train-auc:0.999998
[218] eval-auc:0.680801 train-auc:0.999998
[219] eval-auc:0.680898 train-auc:0.999998
[220] eval-auc:0.680479 train-auc:0.999998
[221] eval-auc:0.681226 train-auc:0.999998
[222] eval-auc:0.681312 train-auc:0.999998
[223] eval-auc:0.681157 train-auc:0.999998
[224] eval-auc:0.681105 train-auc:0.999998
[225] eval-auc:0.681469 train-auc:0.999998
[226] eval-auc:0.680927 train-auc:0.999999
[227] eval-auc:0.680754 train-auc:0.999999
[228] eval-auc:0.680932 train-auc:0.999999
[229] eval-auc:0.680941 train-auc:0.999998
[230] eval-auc:0.680729 train-auc:0.999996
[231] eval-auc:0.680338 train-auc:0.999997
[232] eval-auc:0.680385 train-auc:0.999997
[233] eval-auc:0.680455 train-auc:0.999998
[234] eval-auc:0.680843 train-auc:0.999998
[235] eval-auc:0.681621 train-auc:0.999998
[236] eval-auc:0.68175 train-auc:0.999998
[237] eval-auc:0.682018 train-auc:0.999998
[238] eval-auc:0.682127 train-auc:0.999999
[239] eval-auc:0.682859 train-auc:1
[240] eval-auc:0.682687 train-auc:1
[241] eval-auc:0.682753 train-auc:1
[242] eval-auc:0.682209 train-auc:1
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[246] eval-auc:0.683333 train-auc:1
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[248] eval-auc:0.683671 train-auc:1
[249] eval-auc:0.683545 train-auc:1
[250] eval-auc:0.683621 train-auc:1
[251] eval-auc:0.683781 train-auc:1
[252] eval-auc:0.68416 train-auc:1
[253] eval-auc:0.684428 train-auc:1
[254] eval-auc:0.683653 train-auc:1
[255] eval-auc:0.683732 train-auc:1
[256] eval-auc:0.683887 train-auc:1
[257] eval-auc:0.683705 train-auc:1
[258] eval-auc:0.683893 train-auc:1
[259] eval-auc:0.683603 train-auc:1
[260] eval-auc:0.684288 train-auc:1
[261] eval-auc:0.684201 train-auc:1
[262] eval-auc:0.683804 train-auc:1
[263] eval-auc:0.683019 train-auc:1
[264] eval-auc:0.682693 train-auc:1
[265] eval-auc:0.683158 train-auc:1
[266] eval-auc:0.684177 train-auc:1
[267] eval-auc:0.683781 train-auc:1
[268] eval-auc:0.682866 train-auc:1
[269] eval-auc:0.682535 train-auc:1
[270] eval-auc:0.682774 train-auc:1
[271] eval-auc:0.682774 train-auc:1
[272] eval-auc:0.68255 train-auc:1
[273] eval-auc:0.682948 train-auc:1
[274] eval-auc:0.683324 train-auc:1
[275] eval-auc:0.682984 train-auc:1
[276] eval-auc:0.68342 train-auc:1
[277] eval-auc:0.683545 train-auc:1
[278] eval-auc:0.683778 train-auc:1
[279] eval-auc:0.683695 train-auc:1
[280] eval-auc:0.68338 train-auc:1
[281] eval-auc:0.682739 train-auc:1
[282] eval-auc:0.682666 train-auc:1
[283] eval-auc:0.683048 train-auc:1
[284] eval-auc:0.682506 train-auc:1
[285] eval-auc:0.682782 train-auc:1
[286] eval-auc:0.683004 train-auc:1
[287] eval-auc:0.682995 train-auc:1
[288] eval-auc:0.682459 train-auc:1
[289] eval-auc:0.682643 train-auc:1
[290] eval-auc:0.687048 train-auc:1
[291] eval-auc:0.687006 train-auc:1
[292] eval-auc:0.687122 train-auc:1
[293] eval-auc:0.686978 train-auc:1
[294] eval-auc:0.686459 train-auc:1
[295] eval-auc:0.686304 train-auc:1
[296] eval-auc:0.686378 train-auc:1
[297] eval-auc:0.686471 train-auc:1
[298] eval-auc:0.686528 train-auc:1
[299] eval-auc:0.687428 train-auc:1
[300] eval-auc:0.687581 train-auc:1
[301] eval-auc:0.687009 train-auc:1
[302] eval-auc:0.686976 train-auc:1
[303] eval-auc:0.6869 train-auc:1
[304] eval-auc:0.686337 train-auc:1
[305] eval-auc:0.685447 train-auc:1
[306] eval-auc:0.685492 train-auc:1
[307] eval-auc:0.68495 train-auc:1
[308] eval-auc:0.685177 train-auc:1
[309] eval-auc:0.684467 train-auc:1
[310] eval-auc:0.684761 train-auc:1
[311] eval-auc:0.685232 train-auc:1
[312] eval-auc:0.685319 train-auc:1
[313] eval-auc:0.685849 train-auc:1
[314] eval-auc:0.685809 train-auc:1
[315] eval-auc:0.685788 train-auc:1
[316] eval-auc:0.685804 train-auc:1
[317] eval-auc:0.685722 train-auc:1
[318] eval-auc:0.685905 train-auc:1
[319] eval-auc:0.68501 train-auc:1
[320] eval-auc:0.684755 train-auc:1
[321] eval-auc:0.684196 train-auc:1
[322] eval-auc:0.684196 train-auc:1
[323] eval-auc:0.684451 train-auc:1
[324] eval-auc:0.684204 train-auc:1
[325] eval-auc:0.684428 train-auc:1
Score 0.6844278770602639
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.65, 'eta': 0.25, 'eval_metric': 'auc', 'gamma': 0.9, 'max_depth': 11, 'min_child_weight': 4.0, 'n_estimators': 394.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.8, 'tree_method': 'exact'}
[0] eval-auc:0.622444 train-auc:0.797154
[1] eval-auc:0.613128 train-auc:0.860588
[2] eval-auc:0.607397 train-auc:0.920133
[3] eval-auc:0.629168 train-auc:0.939014
[4] eval-auc:0.646314 train-auc:0.958604
[5] eval-auc:0.648679 train-auc:0.97358
[6] eval-auc:0.656771 train-auc:0.977947
[7] eval-auc:0.652389 train-auc:0.983033
[8] eval-auc:0.652356 train-auc:0.987316
[9] eval-auc:0.648409 train-auc:0.989729
[10] eval-auc:0.647871 train-auc:0.99182
[11] eval-auc:0.64797 train-auc:0.992506
[12] eval-auc:0.64545 train-auc:0.993486
[13] eval-auc:0.649292 train-auc:0.995069
[14] eval-auc:0.649441 train-auc:0.996228
[15] eval-auc:0.646375 train-auc:0.99681
[16] eval-auc:0.645566 train-auc:0.997009
[17] eval-auc:0.660542 train-auc:0.997729
[18] eval-auc:0.659157 train-auc:0.997973
[19] eval-auc:0.671475 train-auc:0.998564
[20] eval-auc:0.671613 train-auc:0.998878
[21] eval-auc:0.672602 train-auc:0.999017
[22] eval-auc:0.672485 train-auc:0.999123
[23] eval-auc:0.673489 train-auc:0.999256
[24] eval-auc:0.671375 train-auc:0.999338
[25] eval-auc:0.668911 train-auc:0.99951
[26] eval-auc:0.669304 train-auc:0.999609
[27] eval-auc:0.670594 train-auc:0.999665
[28] eval-auc:0.672208 train-auc:0.999698
[29] eval-auc:0.670844 train-auc:0.999739
[30] eval-auc:0.670879 train-auc:0.999867
[31] eval-auc:0.671961 train-auc:0.999883
[32] eval-auc:0.674216 train-auc:0.999872
[33] eval-auc:0.675674 train-auc:0.9999
[34] eval-auc:0.673899 train-auc:0.999879
[35] eval-auc:0.674034 train-auc:0.999911
[36] eval-auc:0.672659 train-auc:0.999901
[37] eval-auc:0.671801 train-auc:0.999928
[38] eval-auc:0.671844 train-auc:0.999937
[39] eval-auc:0.669155 train-auc:0.99995
[40] eval-auc:0.670198 train-auc:0.999946
[41] eval-auc:0.670536 train-auc:0.999948
[42] eval-auc:0.671133 train-auc:0.999969
[43] eval-auc:0.669679 train-auc:0.99997
[44] eval-auc:0.676353 train-auc:0.999985
[45] eval-auc:0.677777 train-auc:0.999984
[46] eval-auc:0.678022 train-auc:0.999985
[47] eval-auc:0.67777 train-auc:0.999983
[48] eval-auc:0.676622 train-auc:0.999992
[49] eval-auc:0.676586 train-auc:0.999994
[50] eval-auc:0.676802 train-auc:0.999996
[51] eval-auc:0.676942 train-auc:0.999996
[52] eval-auc:0.676583 train-auc:0.999996
[53] eval-auc:0.677017 train-auc:0.999996
[54] eval-auc:0.677037 train-auc:0.999996
[55] eval-auc:0.676001 train-auc:0.999999
[56] eval-auc:0.673971 train-auc:0.999998
[57] eval-auc:0.673671 train-auc:0.999998
[58] eval-auc:0.674681 train-auc:0.999999
[59] eval-auc:0.677988 train-auc:0.999999
[60] eval-auc:0.678637 train-auc:0.999999
[61] eval-auc:0.679062 train-auc:0.999999
[62] eval-auc:0.679742 train-auc:1
[63] eval-auc:0.678302 train-auc:1
[64] eval-auc:0.6794 train-auc:1
[65] eval-auc:0.679832 train-auc:1
[66] eval-auc:0.679404 train-auc:1
[67] eval-auc:0.678725 train-auc:1
[68] eval-auc:0.679343 train-auc:1
[69] eval-auc:0.679421 train-auc:1
[70] eval-auc:0.682217 train-auc:1
[71] eval-auc:0.683076 train-auc:1
[72] eval-auc:0.682893 train-auc:1
[73] eval-auc:0.682124 train-auc:1
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[75] eval-auc:0.682908 train-auc:1
[76] eval-auc:0.68284 train-auc:1
[77] eval-auc:0.683033 train-auc:1
[78] eval-auc:0.681938 train-auc:1
[79] eval-auc:0.681667 train-auc:1
[80] eval-auc:0.681462 train-auc:1
[81] eval-auc:0.680379 train-auc:1
[82] eval-auc:0.680645 train-auc:1
[83] eval-auc:0.681372 train-auc:1
[84] eval-auc:0.682115 train-auc:1
[85] eval-auc:0.681565 train-auc:1
[86] eval-auc:0.682678 train-auc:1
[87] eval-auc:0.682881 train-auc:1
[88] eval-auc:0.682837 train-auc:1
[89] eval-auc:0.682279 train-auc:1
[90] eval-auc:0.682171 train-auc:1
[91] eval-auc:0.681157 train-auc:1
[92] eval-auc:0.680469 train-auc:1
[93] eval-auc:0.679372 train-auc:1
[94] eval-auc:0.679653 train-auc:1
[95] eval-auc:0.68002 train-auc:1
[96] eval-auc:0.679983 train-auc:1
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[100] eval-auc:0.678986 train-auc:1
[101] eval-auc:0.679374 train-auc:1
[102] eval-auc:0.679413 train-auc:1
[103] eval-auc:0.684094 train-auc:1
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[105] eval-auc:0.684959 train-auc:1
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[110] eval-auc:0.688232 train-auc:1
[111] eval-auc:0.688823 train-auc:1
[112] eval-auc:0.688398 train-auc:1
[113] eval-auc:0.688346 train-auc:1
[114] eval-auc:0.688408 train-auc:1
[115] eval-auc:0.68842 train-auc:1
[116] eval-auc:0.688328 train-auc:1
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[118] eval-auc:0.688128 train-auc:1
[119] eval-auc:0.688108 train-auc:1
[120] eval-auc:0.688518 train-auc:1
[121] eval-auc:0.687601 train-auc:1
[122] eval-auc:0.687933 train-auc:1
[123] eval-auc:0.687537 train-auc:1
[124] eval-auc:0.687734 train-auc:1
[125] eval-auc:0.687376 train-auc:1
[126] eval-auc:0.687574 train-auc:1
[127] eval-auc:0.687342 train-auc:1
[128] eval-auc:0.687868 train-auc:1
[129] eval-auc:0.688159 train-auc:1
[130] eval-auc:0.688137 train-auc:1
[131] eval-auc:0.687796 train-auc:1
[132] eval-auc:0.687426 train-auc:1
[133] eval-auc:0.687268 train-auc:1
[134] eval-auc:0.687693 train-auc:1
[135] eval-auc:0.687699 train-auc:1
[136] eval-auc:0.687048 train-auc:1
[137] eval-auc:0.687345 train-auc:1
[138] eval-auc:0.68728 train-auc:1
[139] eval-auc:0.690484 train-auc:1
[140] eval-auc:0.69033 train-auc:1
[141] eval-auc:0.690293 train-auc:1
[142] eval-auc:0.690507 train-auc:1
[143] eval-auc:0.690158 train-auc:1
[144] eval-auc:0.689914 train-auc:1
[145] eval-auc:0.689809 train-auc:1
[146] eval-auc:0.689342 train-auc:1
[147] eval-auc:0.689342 train-auc:1
[148] eval-auc:0.68998 train-auc:1
[149] eval-auc:0.690015 train-auc:1
[150] eval-auc:0.689881 train-auc:1
[151] eval-auc:0.689879 train-auc:1
[152] eval-auc:0.689675 train-auc:1
[153] eval-auc:0.689584 train-auc:1
[154] eval-auc:0.689378 train-auc:1
[155] eval-auc:0.68947 train-auc:1
[156] eval-auc:0.689683 train-auc:1
[157] eval-auc:0.689683 train-auc:1
[158] eval-auc:0.689365 train-auc:1
[159] eval-auc:0.690383 train-auc:1
[160] eval-auc:0.690328 train-auc:1
[161] eval-auc:0.69082 train-auc:1
[162] eval-auc:0.690989 train-auc:1
[163] eval-auc:0.690784 train-auc:1
[164] eval-auc:0.690682 train-auc:1
[165] eval-auc:0.691085 train-auc:1
[166] eval-auc:0.691018 train-auc:1
[167] eval-auc:0.690747 train-auc:1
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[169] eval-auc:0.690648 train-auc:1
[170] eval-auc:0.690636 train-auc:1
[171] eval-auc:0.690899 train-auc:1
[172] eval-auc:0.690702 train-auc:1
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[174] eval-auc:0.690577 train-auc:1
[175] eval-auc:0.691093 train-auc:1
[176] eval-auc:0.690869 train-auc:1
[177] eval-auc:0.690738 train-auc:1
[178] eval-auc:0.690622 train-auc:1
[179] eval-auc:0.690871 train-auc:1
[180] eval-auc:0.690583 train-auc:1
[181] eval-auc:0.690752 train-auc:1
[182] eval-auc:0.690344 train-auc:1
[183] eval-auc:0.69067 train-auc:1
[184] eval-auc:0.690671 train-auc:1
[185] eval-auc:0.690832 train-auc:1
[186] eval-auc:0.690642 train-auc:1
[187] eval-auc:0.690642 train-auc:1
[188] eval-auc:0.690979 train-auc:1
[189] eval-auc:0.69081 train-auc:1
[190] eval-auc:0.691579 train-auc:1
[191] eval-auc:0.6914 train-auc:1
[192] eval-auc:0.691122 train-auc:1
[193] eval-auc:0.69086 train-auc:1
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[202] eval-auc:0.690365 train-auc:1
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[212] eval-auc:0.68993 train-auc:1
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[219] eval-auc:0.689375 train-auc:1
[220] eval-auc:0.689416 train-auc:1
[221] eval-auc:0.689043 train-auc:1
[222] eval-auc:0.689165 train-auc:1
[223] eval-auc:0.688734 train-auc:1
[224] eval-auc:0.688293 train-auc:1
[225] eval-auc:0.688806 train-auc:1
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[229] eval-auc:0.689803 train-auc:1
[230] eval-auc:0.689494 train-auc:1
[231] eval-auc:0.689643 train-auc:1
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[233] eval-auc:0.689774 train-auc:1
[234] eval-auc:0.68982 train-auc:1
[235] eval-auc:0.68982 train-auc:1
[236] eval-auc:0.689668 train-auc:1
[237] eval-auc:0.689668 train-auc:1
[238] eval-auc:0.689625 train-auc:1
[239] eval-auc:0.689314 train-auc:1
[240] eval-auc:0.689314 train-auc:1
[241] eval-auc:0.689654 train-auc:1
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[243] eval-auc:0.690016 train-auc:1
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[246] eval-auc:0.690016 train-auc:1
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[250] eval-auc:0.689946 train-auc:1
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[259] eval-auc:0.689654 train-auc:1
[260] eval-auc:0.689654 train-auc:1
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[262] eval-auc:0.68913 train-auc:1
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[264] eval-auc:0.68883 train-auc:1
[265] eval-auc:0.688911 train-auc:1
[266] eval-auc:0.688871 train-auc:1
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[268] eval-auc:0.68925 train-auc:1
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[270] eval-auc:0.689165 train-auc:1
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[272] eval-auc:0.689279 train-auc:1
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[275] eval-auc:0.689112 train-auc:1
[276] eval-auc:0.69047 train-auc:1
[277] eval-auc:0.69047 train-auc:1
[278] eval-auc:0.69047 train-auc:1
[279] eval-auc:0.69047 train-auc:1
[280] eval-auc:0.69047 train-auc:1
[281] eval-auc:0.690552 train-auc:1
[282] eval-auc:0.690552 train-auc:1
[283] eval-auc:0.690552 train-auc:1
[284] eval-auc:0.690552 train-auc:1
[285] eval-auc:0.690843 train-auc:1
[286] eval-auc:0.690804 train-auc:1
[287] eval-auc:0.690441 train-auc:1
[288] eval-auc:0.690395 train-auc:1
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[290] eval-auc:0.690479 train-auc:1
[291] eval-auc:0.690501 train-auc:1
[292] eval-auc:0.690892 train-auc:1
[293] eval-auc:0.690866 train-auc:1
[294] eval-auc:0.690866 train-auc:1
[295] eval-auc:0.690866 train-auc:1
[296] eval-auc:0.690502 train-auc:1
[297] eval-auc:0.690776 train-auc:1
[298] eval-auc:0.690776 train-auc:1
[299] eval-auc:0.690776 train-auc:1
[300] eval-auc:0.690427 train-auc:1
[301] eval-auc:0.690462 train-auc:1
[302] eval-auc:0.69067 train-auc:1
[303] eval-auc:0.690726 train-auc:1
[304] eval-auc:0.690726 train-auc:1
[305] eval-auc:0.690726 train-auc:1
[306] eval-auc:0.690545 train-auc:1
[307] eval-auc:0.690545 train-auc:1
[308] eval-auc:0.690545 train-auc:1
[309] eval-auc:0.691061 train-auc:1
[310] eval-auc:0.690692 train-auc:1
[311] eval-auc:0.690692 train-auc:1
[312] eval-auc:0.690692 train-auc:1
[313] eval-auc:0.690692 train-auc:1
[314] eval-auc:0.690494 train-auc:1
[315] eval-auc:0.690494 train-auc:1
[316] eval-auc:0.690362 train-auc:1
[317] eval-auc:0.690843 train-auc:1
[318] eval-auc:0.690843 train-auc:1
[319] eval-auc:0.690638 train-auc:1
[320] eval-auc:0.690638 train-auc:1
[321] eval-auc:0.690659 train-auc:1
[322] eval-auc:0.690494 train-auc:1
[323] eval-auc:0.690654 train-auc:1
[324] eval-auc:0.690318 train-auc:1
[325] eval-auc:0.690252 train-auc:1
[326] eval-auc:0.690252 train-auc:1
[327] eval-auc:0.690156 train-auc:1
[328] eval-auc:0.690156 train-auc:1
[329] eval-auc:0.690156 train-auc:1
[330] eval-auc:0.690156 train-auc:1
[331] eval-auc:0.690156 train-auc:1
[332] eval-auc:0.690156 train-auc:1
[333] eval-auc:0.689687 train-auc:1
[334] eval-auc:0.689687 train-auc:1
[335] eval-auc:0.689821 train-auc:1
[336] eval-auc:0.689821 train-auc:1
[337] eval-auc:0.689966 train-auc:1
[338] eval-auc:0.690217 train-auc:1
[339] eval-auc:0.690159 train-auc:1
[340] eval-auc:0.689931 train-auc:1
[341] eval-auc:0.689931 train-auc:1
[342] eval-auc:0.689931 train-auc:1
[343] eval-auc:0.690191 train-auc:1
[344] eval-auc:0.690191 train-auc:1
[345] eval-auc:0.690191 train-auc:1
[346] eval-auc:0.690191 train-auc:1
[347] eval-auc:0.690191 train-auc:1
[348] eval-auc:0.689958 train-auc:1
[349] eval-auc:0.690178 train-auc:1
[350] eval-auc:0.690051 train-auc:1
[351] eval-auc:0.690051 train-auc:1
[352] eval-auc:0.690051 train-auc:1
[353] eval-auc:0.690051 train-auc:1
[354] eval-auc:0.690179 train-auc:1
[355] eval-auc:0.690179 train-auc:1
[356] eval-auc:0.690179 train-auc:1
[357] eval-auc:0.690179 train-auc:1
[358] eval-auc:0.690179 train-auc:1
[359] eval-auc:0.690566 train-auc:1
[360] eval-auc:0.690566 train-auc:1
[361] eval-auc:0.690569 train-auc:1
[362] eval-auc:0.690635 train-auc:1
[363] eval-auc:0.690635 train-auc:1
[364] eval-auc:0.690621 train-auc:1
[365] eval-auc:0.690804 train-auc:1
[366] eval-auc:0.691078 train-auc:1
[367] eval-auc:0.691078 train-auc:1
[368] eval-auc:0.690584 train-auc:1
[369] eval-auc:0.690584 train-auc:1
[370] eval-auc:0.690584 train-auc:1
[371] eval-auc:0.690584 train-auc:1
[372] eval-auc:0.690135 train-auc:1
[373] eval-auc:0.690135 train-auc:1
[374] eval-auc:0.690135 train-auc:1
[375] eval-auc:0.690135 train-auc:1
[376] eval-auc:0.69036 train-auc:1
[377] eval-auc:0.690166 train-auc:1
[378] eval-auc:0.690102 train-auc:1
[379] eval-auc:0.690102 train-auc:1
[380] eval-auc:0.690102 train-auc:1
[381] eval-auc:0.690102 train-auc:1
[382] eval-auc:0.690102 train-auc:1
[383] eval-auc:0.689776 train-auc:1
[384] eval-auc:0.689776 train-auc:1
[385] eval-auc:0.689625 train-auc:1
[386] eval-auc:0.689625 train-auc:1
[387] eval-auc:0.689625 train-auc:1
[388] eval-auc:0.689625 train-auc:1
[389] eval-auc:0.689625 train-auc:1
[390] eval-auc:0.68941 train-auc:1
[391] eval-auc:0.68941 train-auc:1
[392] eval-auc:0.68941 train-auc:1
[393] eval-auc:0.68941 train-auc:1
Score 0.6894102742145719
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.75, 'eta': 0.025, 'eval_metric': 'auc', 'gamma': 0.9, 'max_depth': 2, 'min_child_weight': 3.0, 'n_estimators': 294.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.75, 'tree_method': 'exact'}
[0] eval-auc:0.66852 train-auc:0.685548
[1] eval-auc:0.664934 train-auc:0.693984
[2] eval-auc:0.684161 train-auc:0.706185
[3] eval-auc:0.682778 train-auc:0.713965
[4] eval-auc:0.693452 train-auc:0.712696
[5] eval-auc:0.691732 train-auc:0.711877
[6] eval-auc:0.695206 train-auc:0.711781
[7] eval-auc:0.689751 train-auc:0.714261
[8] eval-auc:0.694454 train-auc:0.712126
[9] eval-auc:0.695411 train-auc:0.712671
[10] eval-auc:0.694247 train-auc:0.7113
[11] eval-auc:0.6958 train-auc:0.712612
[12] eval-auc:0.694932 train-auc:0.711827
[13] eval-auc:0.696045 train-auc:0.71313
[14] eval-auc:0.697727 train-auc:0.715194
[15] eval-auc:0.696247 train-auc:0.714389
[16] eval-auc:0.694128 train-auc:0.714163
[17] eval-auc:0.693251 train-auc:0.714021
[18] eval-auc:0.693778 train-auc:0.715046
[19] eval-auc:0.693924 train-auc:0.715485
[20] eval-auc:0.695213 train-auc:0.715888
[21] eval-auc:0.695551 train-auc:0.71606
[22] eval-auc:0.696172 train-auc:0.715645
[23] eval-auc:0.696346 train-auc:0.715932
[24] eval-auc:0.696893 train-auc:0.715855
[25] eval-auc:0.696187 train-auc:0.71577
[26] eval-auc:0.69619 train-auc:0.715489
[27] eval-auc:0.696661 train-auc:0.715794
[28] eval-auc:0.696955 train-auc:0.716448
[29] eval-auc:0.697669 train-auc:0.716847
[30] eval-auc:0.696771 train-auc:0.716409
[31] eval-auc:0.696884 train-auc:0.716549
[32] eval-auc:0.698168 train-auc:0.717067
[33] eval-auc:0.698338 train-auc:0.717086
[34] eval-auc:0.697773 train-auc:0.716508
[35] eval-auc:0.698268 train-auc:0.716556
[36] eval-auc:0.697916 train-auc:0.716572
[37] eval-auc:0.698325 train-auc:0.716994
[38] eval-auc:0.698343 train-auc:0.71741
[39] eval-auc:0.698736 train-auc:0.718161
[40] eval-auc:0.698847 train-auc:0.718395
[41] eval-auc:0.699112 train-auc:0.718123
[42] eval-auc:0.698721 train-auc:0.717871
[43] eval-auc:0.698697 train-auc:0.71801
[44] eval-auc:0.698404 train-auc:0.718147
[45] eval-auc:0.698939 train-auc:0.718035
[46] eval-auc:0.698735 train-auc:0.718056
[47] eval-auc:0.699027 train-auc:0.718232
[48] eval-auc:0.699083 train-auc:0.718181
[49] eval-auc:0.698561 train-auc:0.717587
[50] eval-auc:0.698646 train-auc:0.717533
[51] eval-auc:0.698129 train-auc:0.717109
[52] eval-auc:0.697558 train-auc:0.716888
[53] eval-auc:0.697212 train-auc:0.717181
[54] eval-auc:0.697036 train-auc:0.717525
[55] eval-auc:0.696997 train-auc:0.717698
[56] eval-auc:0.696654 train-auc:0.717721
[57] eval-auc:0.696698 train-auc:0.717974
[58] eval-auc:0.696929 train-auc:0.717977
[59] eval-auc:0.69708 train-auc:0.718497
[60] eval-auc:0.696824 train-auc:0.718032
[61] eval-auc:0.696895 train-auc:0.717944
[62] eval-auc:0.697237 train-auc:0.718026
[63] eval-auc:0.697469 train-auc:0.718757
[64] eval-auc:0.697389 train-auc:0.718464
[65] eval-auc:0.697858 train-auc:0.71916
[66] eval-auc:0.697967 train-auc:0.719302
[67] eval-auc:0.697798 train-auc:0.719158
[68] eval-auc:0.698187 train-auc:0.719701
[69] eval-auc:0.698691 train-auc:0.719944
[70] eval-auc:0.697788 train-auc:0.719625
[71] eval-auc:0.697718 train-auc:0.719221
[72] eval-auc:0.697592 train-auc:0.718901
[73] eval-auc:0.697378 train-auc:0.718719
[74] eval-auc:0.69785 train-auc:0.719022
[75] eval-auc:0.698056 train-auc:0.719418
[76] eval-auc:0.698168 train-auc:0.719541
[77] eval-auc:0.697901 train-auc:0.719532
[78] eval-auc:0.697747 train-auc:0.719405
[79] eval-auc:0.697798 train-auc:0.719118
[80] eval-auc:0.69758 train-auc:0.718934
[81] eval-auc:0.697568 train-auc:0.718739
[82] eval-auc:0.697914 train-auc:0.718969
[83] eval-auc:0.697536 train-auc:0.718938
[84] eval-auc:0.697617 train-auc:0.719369
[85] eval-auc:0.697562 train-auc:0.71954
[86] eval-auc:0.697591 train-auc:0.719901
[87] eval-auc:0.698022 train-auc:0.72067
[88] eval-auc:0.698452 train-auc:0.721047
[89] eval-auc:0.698423 train-auc:0.72105
[90] eval-auc:0.698389 train-auc:0.721089
[91] eval-auc:0.698193 train-auc:0.721065
[92] eval-auc:0.697922 train-auc:0.720736
[93] eval-auc:0.698339 train-auc:0.721308
[94] eval-auc:0.698296 train-auc:0.72127
[95] eval-auc:0.698323 train-auc:0.721766
[96] eval-auc:0.698586 train-auc:0.72219
[97] eval-auc:0.698434 train-auc:0.72245
[98] eval-auc:0.698236 train-auc:0.722642
[99] eval-auc:0.698632 train-auc:0.722813
[100] eval-auc:0.698927 train-auc:0.722892
[101] eval-auc:0.698873 train-auc:0.723062
[102] eval-auc:0.69912 train-auc:0.723443
[103] eval-auc:0.69893 train-auc:0.722982
[104] eval-auc:0.699099 train-auc:0.723162
[105] eval-auc:0.69917 train-auc:0.72373
[106] eval-auc:0.698607 train-auc:0.723251
[107] eval-auc:0.698913 train-auc:0.723477
[108] eval-auc:0.699286 train-auc:0.723644
[109] eval-auc:0.699715 train-auc:0.724179
[110] eval-auc:0.700047 train-auc:0.724692
[111] eval-auc:0.70039 train-auc:0.72498
[112] eval-auc:0.700099 train-auc:0.724772
[113] eval-auc:0.700254 train-auc:0.725074
[114] eval-auc:0.699752 train-auc:0.72478
[115] eval-auc:0.699403 train-auc:0.724439
[116] eval-auc:0.699626 train-auc:0.724897
[117] eval-auc:0.699723 train-auc:0.724778
[118] eval-auc:0.700005 train-auc:0.725034
[119] eval-auc:0.700449 train-auc:0.72528
[120] eval-auc:0.699936 train-auc:0.725064
[121] eval-auc:0.699796 train-auc:0.724594
[122] eval-auc:0.699847 train-auc:0.725082
[123] eval-auc:0.700178 train-auc:0.725467
[124] eval-auc:0.699908 train-auc:0.725069
[125] eval-auc:0.700056 train-auc:0.725342
[126] eval-auc:0.700021 train-auc:0.725498
[127] eval-auc:0.700331 train-auc:0.72579
[128] eval-auc:0.700404 train-auc:0.726097
[129] eval-auc:0.700336 train-auc:0.726208
[130] eval-auc:0.699926 train-auc:0.725841
[131] eval-auc:0.699466 train-auc:0.725633
[132] eval-auc:0.699574 train-auc:0.726033
[133] eval-auc:0.699605 train-auc:0.726216
[134] eval-auc:0.699774 train-auc:0.726464
[135] eval-auc:0.699911 train-auc:0.726728
[136] eval-auc:0.700088 train-auc:0.726987
[137] eval-auc:0.699823 train-auc:0.726801
[138] eval-auc:0.700079 train-auc:0.72705
[139] eval-auc:0.700139 train-auc:0.726963
[140] eval-auc:0.700182 train-auc:0.727409
[141] eval-auc:0.700525 train-auc:0.727795
[142] eval-auc:0.700723 train-auc:0.727729
[143] eval-auc:0.700857 train-auc:0.727869
[144] eval-auc:0.701027 train-auc:0.728188
[145] eval-auc:0.701205 train-auc:0.728359
[146] eval-auc:0.70089 train-auc:0.728156
[147] eval-auc:0.701023 train-auc:0.728361
[148] eval-auc:0.701196 train-auc:0.72859
[149] eval-auc:0.700937 train-auc:0.72842
[150] eval-auc:0.701208 train-auc:0.728643
[151] eval-auc:0.701189 train-auc:0.728733
[152] eval-auc:0.700974 train-auc:0.728619
[153] eval-auc:0.70084 train-auc:0.728456
[154] eval-auc:0.700932 train-auc:0.728705
[155] eval-auc:0.701441 train-auc:0.729151
[156] eval-auc:0.701409 train-auc:0.729243
[157] eval-auc:0.701032 train-auc:0.729446
[158] eval-auc:0.701003 train-auc:0.729795
[159] eval-auc:0.701294 train-auc:0.730268
[160] eval-auc:0.701422 train-auc:0.730394
[161] eval-auc:0.70172 train-auc:0.730748
[162] eval-auc:0.701927 train-auc:0.730998
[163] eval-auc:0.701999 train-auc:0.731304
[164] eval-auc:0.702217 train-auc:0.731356
[165] eval-auc:0.702375 train-auc:0.731449
[166] eval-auc:0.702372 train-auc:0.731757
[167] eval-auc:0.702275 train-auc:0.731844
[168] eval-auc:0.702478 train-auc:0.731957
[169] eval-auc:0.702621 train-auc:0.732188
[170] eval-auc:0.70265 train-auc:0.732183
[171] eval-auc:0.70286 train-auc:0.732382
[172] eval-auc:0.702647 train-auc:0.732583
[173] eval-auc:0.70274 train-auc:0.732814
[174] eval-auc:0.702881 train-auc:0.732858
[175] eval-auc:0.702995 train-auc:0.7329
[176] eval-auc:0.703056 train-auc:0.732967
[177] eval-auc:0.703481 train-auc:0.733395
[178] eval-auc:0.703741 train-auc:0.73361
[179] eval-auc:0.70385 train-auc:0.733557
[180] eval-auc:0.703726 train-auc:0.733645
[181] eval-auc:0.703792 train-auc:0.733699
[182] eval-auc:0.703728 train-auc:0.733685
[183] eval-auc:0.703863 train-auc:0.734011
[184] eval-auc:0.703969 train-auc:0.734408
[185] eval-auc:0.704091 train-auc:0.734632
[186] eval-auc:0.704278 train-auc:0.734997
[187] eval-auc:0.704283 train-auc:0.735222
[188] eval-auc:0.704312 train-auc:0.735216
[189] eval-auc:0.704593 train-auc:0.735606
[190] eval-auc:0.70477 train-auc:0.73564
[191] eval-auc:0.704673 train-auc:0.735616
[192] eval-auc:0.704781 train-auc:0.735731
[193] eval-auc:0.704234 train-auc:0.735956
[194] eval-auc:0.704153 train-auc:0.735908
[195] eval-auc:0.704121 train-auc:0.736146
[196] eval-auc:0.704303 train-auc:0.736438
[197] eval-auc:0.70447 train-auc:0.7366
[198] eval-auc:0.704357 train-auc:0.736484
[199] eval-auc:0.704399 train-auc:0.736581
[200] eval-auc:0.704202 train-auc:0.736696
[201] eval-auc:0.704409 train-auc:0.736806
[202] eval-auc:0.704466 train-auc:0.736984
[203] eval-auc:0.7047 train-auc:0.737326
[204] eval-auc:0.704761 train-auc:0.7374
[205] eval-auc:0.704909 train-auc:0.737498
[206] eval-auc:0.704677 train-auc:0.737398
[207] eval-auc:0.704225 train-auc:0.737586
[208] eval-auc:0.704443 train-auc:0.738031
[209] eval-auc:0.704242 train-auc:0.738079
[210] eval-auc:0.704292 train-auc:0.738138
[211] eval-auc:0.704339 train-auc:0.738253
[212] eval-auc:0.704163 train-auc:0.738291
[213] eval-auc:0.704342 train-auc:0.738318
[214] eval-auc:0.704469 train-auc:0.738432
[215] eval-auc:0.704459 train-auc:0.738522
[216] eval-auc:0.7043 train-auc:0.738589
[217] eval-auc:0.704213 train-auc:0.738608
[218] eval-auc:0.704473 train-auc:0.738956
[219] eval-auc:0.704679 train-auc:0.739084
[220] eval-auc:0.704709 train-auc:0.739141
[221] eval-auc:0.704309 train-auc:0.73929
[222] eval-auc:0.704523 train-auc:0.739537
[223] eval-auc:0.70477 train-auc:0.739475
[224] eval-auc:0.704763 train-auc:0.739648
[225] eval-auc:0.704833 train-auc:0.73971
[226] eval-auc:0.705005 train-auc:0.739933
[227] eval-auc:0.70479 train-auc:0.739851
[228] eval-auc:0.705023 train-auc:0.740076
[229] eval-auc:0.705221 train-auc:0.740222
[230] eval-auc:0.7052 train-auc:0.740776
[231] eval-auc:0.705305 train-auc:0.740927
[232] eval-auc:0.705467 train-auc:0.741015
[233] eval-auc:0.705108 train-auc:0.74099
[234] eval-auc:0.705308 train-auc:0.741291
[235] eval-auc:0.705332 train-auc:0.7414
[236] eval-auc:0.705466 train-auc:0.741765
[237] eval-auc:0.705327 train-auc:0.741668
[238] eval-auc:0.705289 train-auc:0.741863
[239] eval-auc:0.705174 train-auc:0.742062
[240] eval-auc:0.705224 train-auc:0.742181
[241] eval-auc:0.705113 train-auc:0.742215
[242] eval-auc:0.70528 train-auc:0.742337
[243] eval-auc:0.705667 train-auc:0.742382
[244] eval-auc:0.705822 train-auc:0.742438
[245] eval-auc:0.705749 train-auc:0.742219
[246] eval-auc:0.705694 train-auc:0.742416
[247] eval-auc:0.705763 train-auc:0.742727
[248] eval-auc:0.705771 train-auc:0.7428
[249] eval-auc:0.705669 train-auc:0.743034
[250] eval-auc:0.705676 train-auc:0.743161
[251] eval-auc:0.705801 train-auc:0.743221
[252] eval-auc:0.705978 train-auc:0.743313
[253] eval-auc:0.705997 train-auc:0.743418
[254] eval-auc:0.705968 train-auc:0.743639
[255] eval-auc:0.705924 train-auc:0.743702
[256] eval-auc:0.705932 train-auc:0.743737
[257] eval-auc:0.705997 train-auc:0.743787
[258] eval-auc:0.70594 train-auc:0.74385
[259] eval-auc:0.70634 train-auc:0.744304
[260] eval-auc:0.70636 train-auc:0.74437
[261] eval-auc:0.706361 train-auc:0.744497
[262] eval-auc:0.706268 train-auc:0.744715
[263] eval-auc:0.706278 train-auc:0.744753
[264] eval-auc:0.706133 train-auc:0.745028
[265] eval-auc:0.706106 train-auc:0.745087
[266] eval-auc:0.705576 train-auc:0.745277
[267] eval-auc:0.705408 train-auc:0.745322
[268] eval-auc:0.705338 train-auc:0.745373
[269] eval-auc:0.705314 train-auc:0.745459
[270] eval-auc:0.705461 train-auc:0.745674
[271] eval-auc:0.705524 train-auc:0.745745
[272] eval-auc:0.705857 train-auc:0.745946
[273] eval-auc:0.705856 train-auc:0.746017
[274] eval-auc:0.705733 train-auc:0.746079
[275] eval-auc:0.705844 train-auc:0.746187
[276] eval-auc:0.706002 train-auc:0.746365
[277] eval-auc:0.706192 train-auc:0.746547
[278] eval-auc:0.706025 train-auc:0.746497
[279] eval-auc:0.705912 train-auc:0.746745
[280] eval-auc:0.705724 train-auc:0.746867
[281] eval-auc:0.705701 train-auc:0.747184
[282] eval-auc:0.705688 train-auc:0.747225
[283] eval-auc:0.705731 train-auc:0.747451
[284] eval-auc:0.705592 train-auc:0.747593
[285] eval-auc:0.705739 train-auc:0.747812
[286] eval-auc:0.705803 train-auc:0.747816
[287] eval-auc:0.705804 train-auc:0.747867
[288] eval-auc:0.705769 train-auc:0.748044
[289] eval-auc:0.705882 train-auc:0.748118
[290] eval-auc:0.705664 train-auc:0.748175
[291] eval-auc:0.705976 train-auc:0.748255
[292] eval-auc:0.706278 train-auc:0.748544
[293] eval-auc:0.70617 train-auc:0.748537
Score 0.7061695233222478
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8, 'eta': 0.125, 'eval_metric': 'auc', 'gamma': 0.7000000000000001, 'max_depth': 10, 'min_child_weight': 3.0, 'n_estimators': 458.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.635058 train-auc:0.810974
[1] eval-auc:0.640057 train-auc:0.888416
[2] eval-auc:0.628362 train-auc:0.927698
[3] eval-auc:0.639908 train-auc:0.950517
[4] eval-auc:0.659869 train-auc:0.965025
[5] eval-auc:0.657376 train-auc:0.974376
[6] eval-auc:0.660856 train-auc:0.975459
[7] eval-auc:0.662532 train-auc:0.979321
[8] eval-auc:0.668055 train-auc:0.986384
[9] eval-auc:0.672052 train-auc:0.990056
[10] eval-auc:0.67681 train-auc:0.992997
[11] eval-auc:0.67879 train-auc:0.993904
[12] eval-auc:0.675429 train-auc:0.994977
[13] eval-auc:0.678681 train-auc:0.996458
[14] eval-auc:0.678594 train-auc:0.996728
[15] eval-auc:0.67612 train-auc:0.996814
[16] eval-auc:0.675625 train-auc:0.99689
[17] eval-auc:0.684349 train-auc:0.997609
[18] eval-auc:0.682665 train-auc:0.997652
[19] eval-auc:0.685663 train-auc:0.998116
[20] eval-auc:0.68791 train-auc:0.998448
[21] eval-auc:0.690424 train-auc:0.998612
[22] eval-auc:0.690589 train-auc:0.998733
[23] eval-auc:0.694024 train-auc:0.998945
[24] eval-auc:0.695277 train-auc:0.999136
[25] eval-auc:0.696418 train-auc:0.999323
[26] eval-auc:0.697688 train-auc:0.999527
[27] eval-auc:0.700615 train-auc:0.999623
[28] eval-auc:0.700345 train-auc:0.999634
[29] eval-auc:0.700724 train-auc:0.999713
[30] eval-auc:0.697586 train-auc:0.999762
[31] eval-auc:0.696593 train-auc:0.999809
[32] eval-auc:0.696176 train-auc:0.999825
[33] eval-auc:0.698644 train-auc:0.999837
[34] eval-auc:0.697632 train-auc:0.999835
[35] eval-auc:0.697712 train-auc:0.999886
[36] eval-auc:0.698608 train-auc:0.999875
[37] eval-auc:0.69793 train-auc:0.999899
[38] eval-auc:0.69788 train-auc:0.999907
[39] eval-auc:0.698282 train-auc:0.999922
[40] eval-auc:0.697622 train-auc:0.999943
[41] eval-auc:0.698119 train-auc:0.999947
[42] eval-auc:0.697158 train-auc:0.999941
[43] eval-auc:0.697283 train-auc:0.999945
[44] eval-auc:0.696138 train-auc:0.999947
[45] eval-auc:0.696965 train-auc:0.999953
[46] eval-auc:0.697068 train-auc:0.999953
[47] eval-auc:0.697628 train-auc:0.999962
[48] eval-auc:0.697391 train-auc:0.999963
[49] eval-auc:0.697906 train-auc:0.999968
[50] eval-auc:0.69754 train-auc:0.999969
[51] eval-auc:0.697659 train-auc:0.999972
[52] eval-auc:0.696954 train-auc:0.99998
[53] eval-auc:0.697234 train-auc:0.999987
[54] eval-auc:0.698046 train-auc:0.999991
[55] eval-auc:0.698146 train-auc:0.999991
[56] eval-auc:0.697974 train-auc:0.999991
[57] eval-auc:0.69735 train-auc:0.999992
[58] eval-auc:0.696971 train-auc:0.999992
[59] eval-auc:0.697616 train-auc:0.999996
[60] eval-auc:0.697568 train-auc:0.999996
[61] eval-auc:0.697545 train-auc:0.999996
[62] eval-auc:0.696808 train-auc:0.999997
[63] eval-auc:0.696675 train-auc:0.999998
[64] eval-auc:0.696636 train-auc:0.999998
[65] eval-auc:0.697836 train-auc:0.999998
[66] eval-auc:0.698449 train-auc:0.999999
[67] eval-auc:0.697822 train-auc:0.999999
[68] eval-auc:0.696806 train-auc:1
[69] eval-auc:0.696919 train-auc:1
[70] eval-auc:0.69737 train-auc:1
[71] eval-auc:0.698414 train-auc:1
[72] eval-auc:0.698544 train-auc:1
[73] eval-auc:0.699046 train-auc:1
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[75] eval-auc:0.698658 train-auc:1
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[78] eval-auc:0.698184 train-auc:1
[79] eval-auc:0.697758 train-auc:1
[80] eval-auc:0.698111 train-auc:1
[81] eval-auc:0.697711 train-auc:1
[82] eval-auc:0.698311 train-auc:1
[83] eval-auc:0.699057 train-auc:1
[84] eval-auc:0.698353 train-auc:1
[85] eval-auc:0.69887 train-auc:1
[86] eval-auc:0.698845 train-auc:1
[87] eval-auc:0.699371 train-auc:1
[88] eval-auc:0.699413 train-auc:1
[89] eval-auc:0.699377 train-auc:1
[90] eval-auc:0.699069 train-auc:1
[91] eval-auc:0.699186 train-auc:1
[92] eval-auc:0.698404 train-auc:1
[93] eval-auc:0.698099 train-auc:1
[94] eval-auc:0.697933 train-auc:1
[95] eval-auc:0.69767 train-auc:1
[96] eval-auc:0.697798 train-auc:1
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[100] eval-auc:0.697618 train-auc:1
[101] eval-auc:0.697839 train-auc:1
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[105] eval-auc:0.697315 train-auc:1
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[110] eval-auc:0.698548 train-auc:1
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[116] eval-auc:0.698352 train-auc:1
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[118] eval-auc:0.698391 train-auc:1
[119] eval-auc:0.698373 train-auc:1
[120] eval-auc:0.698216 train-auc:1
[121] eval-auc:0.697845 train-auc:1
[122] eval-auc:0.697954 train-auc:1
[123] eval-auc:0.697869 train-auc:1
[124] eval-auc:0.698204 train-auc:1
[125] eval-auc:0.698299 train-auc:1
[126] eval-auc:0.698434 train-auc:1
[127] eval-auc:0.698774 train-auc:1
[128] eval-auc:0.698591 train-auc:1
[129] eval-auc:0.697953 train-auc:1
[130] eval-auc:0.697772 train-auc:1
[131] eval-auc:0.697865 train-auc:1
[132] eval-auc:0.698609 train-auc:1
[133] eval-auc:0.69839 train-auc:1
[134] eval-auc:0.698513 train-auc:1
[135] eval-auc:0.698302 train-auc:1
[136] eval-auc:0.698192 train-auc:1
[137] eval-auc:0.698533 train-auc:1
[138] eval-auc:0.698457 train-auc:1
[139] eval-auc:0.6985 train-auc:1
[140] eval-auc:0.698637 train-auc:1
[141] eval-auc:0.699535 train-auc:1
[142] eval-auc:0.699087 train-auc:1
[143] eval-auc:0.699381 train-auc:1
[144] eval-auc:0.699142 train-auc:1
[145] eval-auc:0.700083 train-auc:1
[146] eval-auc:0.699862 train-auc:1
[147] eval-auc:0.699788 train-auc:1
[148] eval-auc:0.699407 train-auc:1
[149] eval-auc:0.699416 train-auc:1
[150] eval-auc:0.69915 train-auc:1
[151] eval-auc:0.698644 train-auc:1
[152] eval-auc:0.698093 train-auc:1
[153] eval-auc:0.698111 train-auc:1
[154] eval-auc:0.697674 train-auc:1
[155] eval-auc:0.697367 train-auc:1
[156] eval-auc:0.697086 train-auc:1
[157] eval-auc:0.696898 train-auc:1
[158] eval-auc:0.697025 train-auc:1
[159] eval-auc:0.698114 train-auc:1
[160] eval-auc:0.697738 train-auc:1
[161] eval-auc:0.697223 train-auc:1
[162] eval-auc:0.696784 train-auc:1
[163] eval-auc:0.697046 train-auc:1
[164] eval-auc:0.697103 train-auc:1
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[167] eval-auc:0.696611 train-auc:1
[168] eval-auc:0.696593 train-auc:1
[169] eval-auc:0.696454 train-auc:1
[170] eval-auc:0.696199 train-auc:1
[171] eval-auc:0.695783 train-auc:1
[172] eval-auc:0.695702 train-auc:1
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[174] eval-auc:0.695835 train-auc:1
[175] eval-auc:0.696759 train-auc:1
[176] eval-auc:0.696221 train-auc:1
[177] eval-auc:0.696063 train-auc:1
[178] eval-auc:0.69624 train-auc:1
[179] eval-auc:0.696069 train-auc:1
[180] eval-auc:0.696237 train-auc:1
[181] eval-auc:0.696229 train-auc:1
[182] eval-auc:0.696515 train-auc:1
[183] eval-auc:0.696671 train-auc:1
[184] eval-auc:0.696692 train-auc:1
[185] eval-auc:0.696493 train-auc:1
[186] eval-auc:0.69668 train-auc:1
[187] eval-auc:0.696927 train-auc:1
[188] eval-auc:0.69722 train-auc:1
[189] eval-auc:0.69663 train-auc:1
[190] eval-auc:0.696706 train-auc:1
[191] eval-auc:0.69654 train-auc:1
[192] eval-auc:0.696882 train-auc:1
[193] eval-auc:0.696701 train-auc:1
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[198] eval-auc:0.696754 train-auc:1
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[200] eval-auc:0.696837 train-auc:1
[201] eval-auc:0.69685 train-auc:1
[202] eval-auc:0.69693 train-auc:1
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[208] eval-auc:0.697134 train-auc:1
[209] eval-auc:0.697134 train-auc:1
[210] eval-auc:0.697379 train-auc:1
[211] eval-auc:0.696958 train-auc:1
[212] eval-auc:0.697102 train-auc:1
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[215] eval-auc:0.69678 train-auc:1
[216] eval-auc:0.696882 train-auc:1
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[218] eval-auc:0.696913 train-auc:1
[219] eval-auc:0.696916 train-auc:1
[220] eval-auc:0.697278 train-auc:1
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[222] eval-auc:0.697013 train-auc:1
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[240] eval-auc:0.696658 train-auc:1
[241] eval-auc:0.696735 train-auc:1
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[251] eval-auc:0.696703 train-auc:1
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[259] eval-auc:0.697179 train-auc:1
[260] eval-auc:0.697379 train-auc:1
[261] eval-auc:0.697449 train-auc:1
[262] eval-auc:0.697586 train-auc:1
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[270] eval-auc:0.700118 train-auc:1
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[275] eval-auc:0.699917 train-auc:1
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[279] eval-auc:0.699131 train-auc:1
[280] eval-auc:0.699131 train-auc:1
[281] eval-auc:0.698912 train-auc:1
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[294] eval-auc:0.698 train-auc:1
[295] eval-auc:0.697921 train-auc:1
[296] eval-auc:0.698021 train-auc:1
[297] eval-auc:0.6979 train-auc:1
[298] eval-auc:0.697726 train-auc:1
[299] eval-auc:0.697746 train-auc:1
[300] eval-auc:0.697974 train-auc:1
[301] eval-auc:0.698067 train-auc:1
[302] eval-auc:0.698067 train-auc:1
[303] eval-auc:0.698053 train-auc:1
[304] eval-auc:0.697731 train-auc:1
[305] eval-auc:0.697735 train-auc:1
[306] eval-auc:0.69777 train-auc:1
[307] eval-auc:0.69777 train-auc:1
[308] eval-auc:0.697892 train-auc:1
[309] eval-auc:0.697994 train-auc:1
[310] eval-auc:0.697994 train-auc:1
[311] eval-auc:0.698123 train-auc:1
[312] eval-auc:0.698134 train-auc:1
[313] eval-auc:0.698134 train-auc:1
[314] eval-auc:0.698134 train-auc:1
[315] eval-auc:0.698189 train-auc:1
[316] eval-auc:0.698364 train-auc:1
[317] eval-auc:0.698364 train-auc:1
[318] eval-auc:0.698289 train-auc:1
[319] eval-auc:0.698251 train-auc:1
[320] eval-auc:0.697954 train-auc:1
[321] eval-auc:0.698047 train-auc:1
[322] eval-auc:0.698302 train-auc:1
[323] eval-auc:0.698375 train-auc:1
[324] eval-auc:0.698375 train-auc:1
[325] eval-auc:0.698375 train-auc:1
[326] eval-auc:0.698375 train-auc:1
[327] eval-auc:0.698282 train-auc:1
[328] eval-auc:0.698369 train-auc:1
[329] eval-auc:0.698376 train-auc:1
[330] eval-auc:0.698442 train-auc:1
[331] eval-auc:0.698388 train-auc:1
[332] eval-auc:0.698373 train-auc:1
[333] eval-auc:0.698315 train-auc:1
[334] eval-auc:0.6982 train-auc:1
[335] eval-auc:0.698439 train-auc:1
[336] eval-auc:0.698361 train-auc:1
[337] eval-auc:0.698443 train-auc:1
[338] eval-auc:0.698352 train-auc:1
[339] eval-auc:0.698391 train-auc:1
[340] eval-auc:0.698503 train-auc:1
[341] eval-auc:0.69855 train-auc:1
[342] eval-auc:0.69865 train-auc:1
[343] eval-auc:0.698673 train-auc:1
[344] eval-auc:0.698673 train-auc:1
[345] eval-auc:0.69869 train-auc:1
[346] eval-auc:0.698624 train-auc:1
[347] eval-auc:0.698626 train-auc:1
[348] eval-auc:0.698548 train-auc:1
[349] eval-auc:0.698667 train-auc:1
[350] eval-auc:0.698771 train-auc:1
[351] eval-auc:0.69851 train-auc:1
[352] eval-auc:0.698661 train-auc:1
[353] eval-auc:0.698784 train-auc:1
[354] eval-auc:0.698772 train-auc:1
[355] eval-auc:0.698722 train-auc:1
[356] eval-auc:0.698722 train-auc:1
[357] eval-auc:0.698841 train-auc:1
[358] eval-auc:0.69892 train-auc:1
[359] eval-auc:0.698917 train-auc:1
[360] eval-auc:0.698917 train-auc:1
[361] eval-auc:0.698915 train-auc:1
[362] eval-auc:0.698693 train-auc:1
[363] eval-auc:0.698602 train-auc:1
[364] eval-auc:0.6986 train-auc:1
[365] eval-auc:0.698306 train-auc:1
[366] eval-auc:0.698311 train-auc:1
[367] eval-auc:0.698311 train-auc:1
[368] eval-auc:0.698311 train-auc:1
[369] eval-auc:0.698207 train-auc:1
[370] eval-auc:0.698203 train-auc:1
[371] eval-auc:0.698174 train-auc:1
[372] eval-auc:0.698139 train-auc:1
[373] eval-auc:0.698215 train-auc:1
[374] eval-auc:0.698215 train-auc:1
[375] eval-auc:0.698236 train-auc:1
[376] eval-auc:0.698219 train-auc:1
[377] eval-auc:0.698196 train-auc:1
[378] eval-auc:0.6983 train-auc:1
[379] eval-auc:0.698213 train-auc:1
[380] eval-auc:0.697995 train-auc:1
[381] eval-auc:0.697995 train-auc:1
[382] eval-auc:0.697967 train-auc:1
[383] eval-auc:0.697837 train-auc:1
[384] eval-auc:0.697945 train-auc:1
[385] eval-auc:0.697945 train-auc:1
[386] eval-auc:0.698219 train-auc:1
[387] eval-auc:0.698075 train-auc:1
[388] eval-auc:0.698075 train-auc:1
[389] eval-auc:0.698181 train-auc:1
[390] eval-auc:0.697919 train-auc:1
[391] eval-auc:0.697919 train-auc:1
[392] eval-auc:0.697915 train-auc:1
[393] eval-auc:0.69793 train-auc:1
[394] eval-auc:0.698024 train-auc:1
[395] eval-auc:0.698024 train-auc:1
[396] eval-auc:0.697909 train-auc:1
[397] eval-auc:0.697977 train-auc:1
[398] eval-auc:0.697977 train-auc:1
[399] eval-auc:0.697892 train-auc:1
[400] eval-auc:0.697895 train-auc:1
[401] eval-auc:0.697896 train-auc:1
[402] eval-auc:0.698101 train-auc:1
[403] eval-auc:0.698038 train-auc:1
[404] eval-auc:0.698084 train-auc:1
[405] eval-auc:0.698084 train-auc:1
[406] eval-auc:0.698084 train-auc:1
[407] eval-auc:0.698084 train-auc:1
[408] eval-auc:0.698084 train-auc:1
[409] eval-auc:0.698014 train-auc:1
[410] eval-auc:0.698014 train-auc:1
[411] eval-auc:0.698047 train-auc:1
[412] eval-auc:0.697884 train-auc:1
[413] eval-auc:0.697884 train-auc:1
[414] eval-auc:0.697884 train-auc:1
[415] eval-auc:0.69777 train-auc:1
[416] eval-auc:0.69777 train-auc:1
[417] eval-auc:0.697802 train-auc:1
[418] eval-auc:0.697936 train-auc:1
[419] eval-auc:0.697989 train-auc:1
[420] eval-auc:0.697989 train-auc:1
[421] eval-auc:0.697813 train-auc:1
[422] eval-auc:0.697829 train-auc:1
[423] eval-auc:0.698027 train-auc:1
[424] eval-auc:0.698027 train-auc:1
[425] eval-auc:0.698219 train-auc:1
[426] eval-auc:0.698219 train-auc:1
[427] eval-auc:0.698075 train-auc:1
[428] eval-auc:0.698075 train-auc:1
[429] eval-auc:0.698075 train-auc:1
[430] eval-auc:0.698075 train-auc:1
[431] eval-auc:0.698274 train-auc:1
[432] eval-auc:0.698111 train-auc:1
[433] eval-auc:0.698152 train-auc:1
[434] eval-auc:0.698349 train-auc:1
[435] eval-auc:0.698349 train-auc:1
[436] eval-auc:0.698349 train-auc:1
[437] eval-auc:0.698349 train-auc:1
[438] eval-auc:0.698312 train-auc:1
[439] eval-auc:0.698312 train-auc:1
[440] eval-auc:0.698155 train-auc:1
[441] eval-auc:0.698008 train-auc:1
[442] eval-auc:0.698008 train-auc:1
[443] eval-auc:0.698024 train-auc:1
[444] eval-auc:0.698029 train-auc:1
[445] eval-auc:0.697935 train-auc:1
[446] eval-auc:0.697935 train-auc:1
[447] eval-auc:0.697935 train-auc:1
[448] eval-auc:0.697959 train-auc:1
[449] eval-auc:0.697808 train-auc:1
[450] eval-auc:0.697808 train-auc:1
[451] eval-auc:0.69767 train-auc:1
[452] eval-auc:0.69767 train-auc:1
[453] eval-auc:0.69767 train-auc:1
[454] eval-auc:0.697577 train-auc:1
[455] eval-auc:0.697577 train-auc:1
[456] eval-auc:0.69766 train-auc:1
[457] eval-auc:0.697513 train-auc:1
Score 0.697512760540389
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.6000000000000001, 'eta': 0.275, 'eval_metric': 'auc', 'gamma': 1.0, 'max_depth': 8, 'min_child_weight': 4.0, 'n_estimators': 210.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.710539 train-auc:0.810355
[1] eval-auc:0.698439 train-auc:0.855482
[2] eval-auc:0.691596 train-auc:0.884104
[3] eval-auc:0.693987 train-auc:0.911074
[4] eval-auc:0.685321 train-auc:0.922647
[5] eval-auc:0.678985 train-auc:0.931565
[6] eval-auc:0.668131 train-auc:0.940809
[7] eval-auc:0.670093 train-auc:0.959116
[8] eval-auc:0.6768 train-auc:0.969661
[9] eval-auc:0.684019 train-auc:0.976651
[10] eval-auc:0.687456 train-auc:0.981394
[11] eval-auc:0.685905 train-auc:0.9831
[12] eval-auc:0.68786 train-auc:0.98824
[13] eval-auc:0.686607 train-auc:0.989088
[14] eval-auc:0.685106 train-auc:0.991367
[15] eval-auc:0.681326 train-auc:0.991829
[16] eval-auc:0.680415 train-auc:0.99324
[17] eval-auc:0.685402 train-auc:0.99406
[18] eval-auc:0.686927 train-auc:0.994837
[19] eval-auc:0.686497 train-auc:0.994982
[20] eval-auc:0.685987 train-auc:0.995258
[21] eval-auc:0.684866 train-auc:0.995833
[22] eval-auc:0.686296 train-auc:0.99632
[23] eval-auc:0.68561 train-auc:0.996442
[24] eval-auc:0.6859 train-auc:0.996998
[25] eval-auc:0.685532 train-auc:0.997144
[26] eval-auc:0.684933 train-auc:0.997274
[27] eval-auc:0.683095 train-auc:0.997549
[28] eval-auc:0.68263 train-auc:0.997728
[29] eval-auc:0.684812 train-auc:0.998338
[30] eval-auc:0.683992 train-auc:0.998439
[31] eval-auc:0.68448 train-auc:0.998582
[32] eval-auc:0.684933 train-auc:0.998594
[33] eval-auc:0.684317 train-auc:0.998715
[34] eval-auc:0.684317 train-auc:0.998953
[35] eval-auc:0.684318 train-auc:0.999022
[36] eval-auc:0.685658 train-auc:0.999047
[37] eval-auc:0.684825 train-auc:0.999177
[38] eval-auc:0.685039 train-auc:0.999168
[39] eval-auc:0.68574 train-auc:0.999265
[40] eval-auc:0.686717 train-auc:0.999297
[41] eval-auc:0.686637 train-auc:0.999328
[42] eval-auc:0.687866 train-auc:0.999414
[43] eval-auc:0.688089 train-auc:0.999514
[44] eval-auc:0.687498 train-auc:0.999514
[45] eval-auc:0.687491 train-auc:0.999564
[46] eval-auc:0.688935 train-auc:0.999705
[47] eval-auc:0.688821 train-auc:0.999719
[48] eval-auc:0.688935 train-auc:0.999706
[49] eval-auc:0.68844 train-auc:0.999711
[50] eval-auc:0.68783 train-auc:0.999711
[51] eval-auc:0.686869 train-auc:0.999739
[52] eval-auc:0.686398 train-auc:0.999755
[53] eval-auc:0.688044 train-auc:0.999762
[54] eval-auc:0.688116 train-auc:0.999779
[55] eval-auc:0.687053 train-auc:0.999795
[56] eval-auc:0.686802 train-auc:0.999782
[57] eval-auc:0.687572 train-auc:0.999782
[58] eval-auc:0.687982 train-auc:0.999805
[59] eval-auc:0.688471 train-auc:0.999821
[60] eval-auc:0.688244 train-auc:0.999833
[61] eval-auc:0.68804 train-auc:0.999841
[62] eval-auc:0.688025 train-auc:0.999839
[63] eval-auc:0.688192 train-auc:0.999839
[64] eval-auc:0.688163 train-auc:0.999879
[65] eval-auc:0.688128 train-auc:0.999885
[66] eval-auc:0.687146 train-auc:0.999922
[67] eval-auc:0.688073 train-auc:0.999941
[68] eval-auc:0.687591 train-auc:0.999945
[69] eval-auc:0.687467 train-auc:0.999953
[70] eval-auc:0.686962 train-auc:0.999959
[71] eval-auc:0.686934 train-auc:0.99996
[72] eval-auc:0.686513 train-auc:0.999961
[73] eval-auc:0.686947 train-auc:0.999962
[74] eval-auc:0.687345 train-auc:0.999966
[75] eval-auc:0.686532 train-auc:0.999965
[76] eval-auc:0.686913 train-auc:0.999971
[77] eval-auc:0.68589 train-auc:0.999976
[78] eval-auc:0.685576 train-auc:0.999977
[79] eval-auc:0.685678 train-auc:0.999976
[80] eval-auc:0.685425 train-auc:0.99998
[81] eval-auc:0.684238 train-auc:0.999979
[82] eval-auc:0.685235 train-auc:0.999978
[83] eval-auc:0.68485 train-auc:0.999975
[84] eval-auc:0.684799 train-auc:0.99998
[85] eval-auc:0.684842 train-auc:0.99998
[86] eval-auc:0.684522 train-auc:0.999981
[87] eval-auc:0.685125 train-auc:0.999981
[88] eval-auc:0.684719 train-auc:0.999987
[89] eval-auc:0.685261 train-auc:0.999988
[90] eval-auc:0.683826 train-auc:0.99999
[91] eval-auc:0.683799 train-auc:0.99999
[92] eval-auc:0.683928 train-auc:0.999992
[93] eval-auc:0.68317 train-auc:0.999993
[94] eval-auc:0.683306 train-auc:0.999993
[95] eval-auc:0.685267 train-auc:0.999994
[96] eval-auc:0.685136 train-auc:0.999994
[97] eval-auc:0.685514 train-auc:0.999994
[98] eval-auc:0.685364 train-auc:0.999994
[99] eval-auc:0.684145 train-auc:0.999994
[100] eval-auc:0.684178 train-auc:0.999997
[101] eval-auc:0.684079 train-auc:0.999997
[102] eval-auc:0.683717 train-auc:0.999997
[103] eval-auc:0.684865 train-auc:0.999998
[104] eval-auc:0.685434 train-auc:0.999998
[105] eval-auc:0.685067 train-auc:0.999998
[106] eval-auc:0.684524 train-auc:0.999998
[107] eval-auc:0.684877 train-auc:0.999998
[108] eval-auc:0.684181 train-auc:1
[109] eval-auc:0.684653 train-auc:1
[110] eval-auc:0.685075 train-auc:1
[111] eval-auc:0.685236 train-auc:1
[112] eval-auc:0.686846 train-auc:1
[113] eval-auc:0.685899 train-auc:1
[114] eval-auc:0.685824 train-auc:1
[115] eval-auc:0.685986 train-auc:1
[116] eval-auc:0.686517 train-auc:1
[117] eval-auc:0.686517 train-auc:1
[118] eval-auc:0.686517 train-auc:1
[119] eval-auc:0.686517 train-auc:1
[120] eval-auc:0.686517 train-auc:1
[121] eval-auc:0.686596 train-auc:1
[122] eval-auc:0.686494 train-auc:1
[123] eval-auc:0.686817 train-auc:1
[124] eval-auc:0.686779 train-auc:1
[125] eval-auc:0.686622 train-auc:1
[126] eval-auc:0.686546 train-auc:1
[127] eval-auc:0.686637 train-auc:1
[128] eval-auc:0.686401 train-auc:1
[129] eval-auc:0.686097 train-auc:1
[130] eval-auc:0.685873 train-auc:1
[131] eval-auc:0.685736 train-auc:1
[132] eval-auc:0.685765 train-auc:1
[133] eval-auc:0.685696 train-auc:1
[134] eval-auc:0.685638 train-auc:1
[135] eval-auc:0.685419 train-auc:1
[136] eval-auc:0.68483 train-auc:1
[137] eval-auc:0.684897 train-auc:1
[138] eval-auc:0.684585 train-auc:1
[139] eval-auc:0.684585 train-auc:1
[140] eval-auc:0.684723 train-auc:1
[141] eval-auc:0.684714 train-auc:1
[142] eval-auc:0.684574 train-auc:1
[143] eval-auc:0.68449 train-auc:1
[144] eval-auc:0.68449 train-auc:1
[145] eval-auc:0.684043 train-auc:1
[146] eval-auc:0.684035 train-auc:1
[147] eval-auc:0.684035 train-auc:1
[148] eval-auc:0.683787 train-auc:1
[149] eval-auc:0.683371 train-auc:1
[150] eval-auc:0.683574 train-auc:1
[151] eval-auc:0.683488 train-auc:1
[152] eval-auc:0.683482 train-auc:1
[153] eval-auc:0.683651 train-auc:1
[154] eval-auc:0.683642 train-auc:1
[155] eval-auc:0.683642 train-auc:1
[156] eval-auc:0.683507 train-auc:1
[157] eval-auc:0.68342 train-auc:1
[158] eval-auc:0.683415 train-auc:1
[159] eval-auc:0.683385 train-auc:1
[160] eval-auc:0.68337 train-auc:1
[161] eval-auc:0.683979 train-auc:1
[162] eval-auc:0.683959 train-auc:1
[163] eval-auc:0.684169 train-auc:1
[164] eval-auc:0.684169 train-auc:1
[165] eval-auc:0.68395 train-auc:1
[166] eval-auc:0.684026 train-auc:1
[167] eval-auc:0.684099 train-auc:1
[168] eval-auc:0.684099 train-auc:1
[169] eval-auc:0.684553 train-auc:1
[170] eval-auc:0.684248 train-auc:1
[171] eval-auc:0.684711 train-auc:1
[172] eval-auc:0.683883 train-auc:1
[173] eval-auc:0.683059 train-auc:1
[174] eval-auc:0.6833 train-auc:1
[175] eval-auc:0.683161 train-auc:1
[176] eval-auc:0.68349 train-auc:1
[177] eval-auc:0.68349 train-auc:1
[178] eval-auc:0.683325 train-auc:1
[179] eval-auc:0.683394 train-auc:1
[180] eval-auc:0.683182 train-auc:1
[181] eval-auc:0.684105 train-auc:1
[182] eval-auc:0.684146 train-auc:1
[183] eval-auc:0.684146 train-auc:1
[184] eval-auc:0.684493 train-auc:1
[185] eval-auc:0.684885 train-auc:1
[186] eval-auc:0.684885 train-auc:1
[187] eval-auc:0.68437 train-auc:1
[188] eval-auc:0.68437 train-auc:1
[189] eval-auc:0.68437 train-auc:1
[190] eval-auc:0.684157 train-auc:1
[191] eval-auc:0.684466 train-auc:1
[192] eval-auc:0.684282 train-auc:1
[193] eval-auc:0.684301 train-auc:1
[194] eval-auc:0.684111 train-auc:1
[195] eval-auc:0.683549 train-auc:1
[196] eval-auc:0.683656 train-auc:1
[197] eval-auc:0.683647 train-auc:1
[198] eval-auc:0.68361 train-auc:1
[199] eval-auc:0.68361 train-auc:1
[200] eval-auc:0.68361 train-auc:1
[201] eval-auc:0.68361 train-auc:1
[202] eval-auc:0.68361 train-auc:1
[203] eval-auc:0.68361 train-auc:1
[204] eval-auc:0.683928 train-auc:1
[205] eval-auc:0.683928 train-auc:1
[206] eval-auc:0.683928 train-auc:1
[207] eval-auc:0.683928 train-auc:1
[208] eval-auc:0.683589 train-auc:1
[209] eval-auc:0.683589 train-auc:1
Score 0.6835888486886184
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.55, 'eta': 0.17500000000000002, 'eval_metric': 'auc', 'gamma': 0.9500000000000001, 'max_depth': 7, 'min_child_weight': 5.0, 'n_estimators': 233.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9, 'tree_method': 'exact'}
[0] eval-auc:0.541948 train-auc:0.656086
[1] eval-auc:0.647709 train-auc:0.809707
[2] eval-auc:0.637245 train-auc:0.819582
[3] eval-auc:0.650279 train-auc:0.85251
[4] eval-auc:0.668537 train-auc:0.856638
[5] eval-auc:0.67109 train-auc:0.876879
[6] eval-auc:0.671929 train-auc:0.881301
[7] eval-auc:0.669094 train-auc:0.883808
[8] eval-auc:0.675884 train-auc:0.898846
[9] eval-auc:0.688499 train-auc:0.912234
[10] eval-auc:0.687301 train-auc:0.920434
[11] eval-auc:0.68612 train-auc:0.923527
[12] eval-auc:0.686597 train-auc:0.924715
[13] eval-auc:0.68896 train-auc:0.928141
[14] eval-auc:0.688464 train-auc:0.931258
[15] eval-auc:0.685558 train-auc:0.934876
[16] eval-auc:0.684697 train-auc:0.935912
[17] eval-auc:0.694346 train-auc:0.946474
[18] eval-auc:0.68991 train-auc:0.953498
[19] eval-auc:0.694049 train-auc:0.960753
[20] eval-auc:0.692337 train-auc:0.961848
[21] eval-auc:0.689718 train-auc:0.963779
[22] eval-auc:0.689873 train-auc:0.965581
[23] eval-auc:0.68892 train-auc:0.967371
[24] eval-auc:0.690458 train-auc:0.968488
[25] eval-auc:0.690194 train-auc:0.968629
[26] eval-auc:0.689419 train-auc:0.971395
[27] eval-auc:0.687926 train-auc:0.973182
[28] eval-auc:0.6871 train-auc:0.974277
[29] eval-auc:0.686493 train-auc:0.975089
[30] eval-auc:0.687211 train-auc:0.976754
[31] eval-auc:0.687545 train-auc:0.977596
[32] eval-auc:0.687627 train-auc:0.978673
[33] eval-auc:0.688638 train-auc:0.979736
[34] eval-auc:0.690225 train-auc:0.980822
[35] eval-auc:0.689634 train-auc:0.98175
[36] eval-auc:0.689384 train-auc:0.982683
[37] eval-auc:0.691796 train-auc:0.983507
[38] eval-auc:0.692311 train-auc:0.983754
[39] eval-auc:0.692737 train-auc:0.984661
[40] eval-auc:0.692607 train-auc:0.985715
[41] eval-auc:0.692887 train-auc:0.986742
[42] eval-auc:0.693109 train-auc:0.986773
[43] eval-auc:0.694755 train-auc:0.98761
[44] eval-auc:0.69552 train-auc:0.988286
[45] eval-auc:0.695344 train-auc:0.988675
[46] eval-auc:0.695501 train-auc:0.989378
[47] eval-auc:0.694572 train-auc:0.990495
[48] eval-auc:0.693612 train-auc:0.991169
[49] eval-auc:0.690508 train-auc:0.991859
[50] eval-auc:0.690482 train-auc:0.991987
[51] eval-auc:0.690676 train-auc:0.992099
[52] eval-auc:0.690089 train-auc:0.99246
[53] eval-auc:0.68989 train-auc:0.992907
[54] eval-auc:0.690613 train-auc:0.993849
[55] eval-auc:0.690312 train-auc:0.994118
[56] eval-auc:0.690261 train-auc:0.994406
[57] eval-auc:0.688752 train-auc:0.994781
[58] eval-auc:0.689479 train-auc:0.994902
[59] eval-auc:0.689508 train-auc:0.995206
[60] eval-auc:0.689136 train-auc:0.995629
[61] eval-auc:0.690744 train-auc:0.995829
[62] eval-auc:0.690849 train-auc:0.996031
[63] eval-auc:0.694408 train-auc:0.996358
[64] eval-auc:0.694181 train-auc:0.996451
[65] eval-auc:0.69414 train-auc:0.996497
[66] eval-auc:0.694916 train-auc:0.996613
[67] eval-auc:0.694452 train-auc:0.996653
[68] eval-auc:0.693528 train-auc:0.996627
[69] eval-auc:0.692655 train-auc:0.996886
[70] eval-auc:0.694202 train-auc:0.996918
[71] eval-auc:0.694246 train-auc:0.997074
[72] eval-auc:0.694042 train-auc:0.997141
[73] eval-auc:0.693905 train-auc:0.997312
[74] eval-auc:0.693659 train-auc:0.997456
[75] eval-auc:0.692878 train-auc:0.997562
[76] eval-auc:0.691975 train-auc:0.997596
[77] eval-auc:0.691513 train-auc:0.997621
[78] eval-auc:0.691475 train-auc:0.997677
[79] eval-auc:0.690523 train-auc:0.997843
[80] eval-auc:0.689843 train-auc:0.99788
[81] eval-auc:0.689173 train-auc:0.997915
[82] eval-auc:0.688809 train-auc:0.997965
[83] eval-auc:0.688392 train-auc:0.99808
[84] eval-auc:0.689978 train-auc:0.998198
[85] eval-auc:0.688727 train-auc:0.998364
[86] eval-auc:0.68811 train-auc:0.998397
[87] eval-auc:0.688376 train-auc:0.998496
[88] eval-auc:0.688768 train-auc:0.998504
[89] eval-auc:0.688809 train-auc:0.99855
[90] eval-auc:0.688306 train-auc:0.998553
[91] eval-auc:0.688261 train-auc:0.998545
[92] eval-auc:0.688341 train-auc:0.998753
[93] eval-auc:0.687377 train-auc:0.998787
[94] eval-auc:0.686915 train-auc:0.998818
[95] eval-auc:0.68698 train-auc:0.998966
[96] eval-auc:0.686782 train-auc:0.998995
[97] eval-auc:0.6871 train-auc:0.998998
[98] eval-auc:0.687607 train-auc:0.999129
[99] eval-auc:0.687419 train-auc:0.999158
[100] eval-auc:0.68735 train-auc:0.999223
[101] eval-auc:0.686921 train-auc:0.999259
[102] eval-auc:0.686374 train-auc:0.999333
[103] eval-auc:0.686369 train-auc:0.999343
[104] eval-auc:0.686864 train-auc:0.999343
[105] eval-auc:0.687221 train-auc:0.999342
[106] eval-auc:0.686659 train-auc:0.999345
[107] eval-auc:0.686811 train-auc:0.999402
[108] eval-auc:0.686126 train-auc:0.999444
[109] eval-auc:0.687563 train-auc:0.999487
[110] eval-auc:0.689115 train-auc:0.999547
[111] eval-auc:0.687936 train-auc:0.999529
[112] eval-auc:0.687607 train-auc:0.999577
[113] eval-auc:0.687202 train-auc:0.999627
[114] eval-auc:0.68635 train-auc:0.999646
[115] eval-auc:0.685931 train-auc:0.999648
[116] eval-auc:0.685654 train-auc:0.999649
[117] eval-auc:0.68552 train-auc:0.999676
[118] eval-auc:0.685383 train-auc:0.999695
[119] eval-auc:0.68617 train-auc:0.999718
[120] eval-auc:0.687502 train-auc:0.999724
[121] eval-auc:0.687466 train-auc:0.999754
[122] eval-auc:0.686465 train-auc:0.999799
[123] eval-auc:0.685514 train-auc:0.999819
[124] eval-auc:0.685655 train-auc:0.999821
[125] eval-auc:0.685115 train-auc:0.999827
[126] eval-auc:0.685043 train-auc:0.999841
[127] eval-auc:0.684767 train-auc:0.999845
[128] eval-auc:0.685239 train-auc:0.999849
[129] eval-auc:0.685069 train-auc:0.999855
[130] eval-auc:0.685779 train-auc:0.99986
[131] eval-auc:0.685585 train-auc:0.999847
[132] eval-auc:0.68568 train-auc:0.999856
[133] eval-auc:0.68583 train-auc:0.999855
[134] eval-auc:0.684999 train-auc:0.999856
[135] eval-auc:0.68501 train-auc:0.999855
[136] eval-auc:0.685377 train-auc:0.999857
[137] eval-auc:0.685511 train-auc:0.999861
[138] eval-auc:0.685865 train-auc:0.999873
[139] eval-auc:0.68598 train-auc:0.999885
[140] eval-auc:0.685515 train-auc:0.999885
[141] eval-auc:0.685165 train-auc:0.999894
[142] eval-auc:0.685504 train-auc:0.999887
[143] eval-auc:0.685477 train-auc:0.999886
[144] eval-auc:0.684962 train-auc:0.99989
[145] eval-auc:0.684277 train-auc:0.999887
[146] eval-auc:0.684108 train-auc:0.999889
[147] eval-auc:0.684251 train-auc:0.999889
[148] eval-auc:0.684283 train-auc:0.999896
[149] eval-auc:0.68465 train-auc:0.9999
[150] eval-auc:0.68523 train-auc:0.999898
[151] eval-auc:0.684892 train-auc:0.999913
[152] eval-auc:0.685969 train-auc:0.99994
[153] eval-auc:0.685884 train-auc:0.999957
[154] eval-auc:0.686414 train-auc:0.999964
[155] eval-auc:0.685978 train-auc:0.999964
[156] eval-auc:0.68654 train-auc:0.999957
[157] eval-auc:0.686315 train-auc:0.999961
[158] eval-auc:0.686481 train-auc:0.999959
[159] eval-auc:0.68714 train-auc:0.999965
[160] eval-auc:0.686608 train-auc:0.999973
[161] eval-auc:0.686575 train-auc:0.999973
[162] eval-auc:0.686636 train-auc:0.999973
[163] eval-auc:0.686234 train-auc:0.999973
[164] eval-auc:0.684565 train-auc:0.999977
[165] eval-auc:0.684545 train-auc:0.999976
[166] eval-auc:0.684588 train-auc:0.999979
[167] eval-auc:0.684949 train-auc:0.999982
[168] eval-auc:0.684638 train-auc:0.999986
[169] eval-auc:0.684238 train-auc:0.999985
[170] eval-auc:0.684745 train-auc:0.999985
[171] eval-auc:0.684263 train-auc:0.999983
[172] eval-auc:0.684292 train-auc:0.99999
[173] eval-auc:0.683983 train-auc:0.999991
[174] eval-auc:0.684104 train-auc:0.99999
[175] eval-auc:0.683787 train-auc:0.999988
[176] eval-auc:0.684865 train-auc:0.999988
[177] eval-auc:0.684318 train-auc:0.999988
[178] eval-auc:0.684096 train-auc:0.999988
[179] eval-auc:0.684046 train-auc:0.999988
[180] eval-auc:0.683945 train-auc:0.999989
[181] eval-auc:0.684294 train-auc:0.999989
[182] eval-auc:0.684279 train-auc:0.999989
[183] eval-auc:0.684452 train-auc:0.999988
[184] eval-auc:0.684933 train-auc:0.999988
[185] eval-auc:0.685035 train-auc:0.999988
[186] eval-auc:0.68495 train-auc:0.999988
[187] eval-auc:0.685265 train-auc:0.999986
[188] eval-auc:0.685447 train-auc:0.999986
[189] eval-auc:0.685591 train-auc:0.999986
[190] eval-auc:0.685147 train-auc:0.999985
[191] eval-auc:0.684834 train-auc:0.999984
[192] eval-auc:0.68481 train-auc:0.999983
[193] eval-auc:0.685183 train-auc:0.999986
[194] eval-auc:0.685147 train-auc:0.999988
[195] eval-auc:0.684854 train-auc:0.999989
[196] eval-auc:0.685285 train-auc:0.999988
[197] eval-auc:0.685419 train-auc:0.99999
[198] eval-auc:0.685297 train-auc:0.999989
[199] eval-auc:0.685136 train-auc:0.999989
[200] eval-auc:0.68483 train-auc:0.999989
[201] eval-auc:0.684891 train-auc:0.999989
[202] eval-auc:0.684967 train-auc:0.999992
[203] eval-auc:0.68536 train-auc:0.999992
[204] eval-auc:0.685153 train-auc:0.999993
[205] eval-auc:0.685179 train-auc:0.999993
[206] eval-auc:0.684865 train-auc:0.999993
[207] eval-auc:0.68504 train-auc:0.999993
[208] eval-auc:0.684172 train-auc:0.999995
[209] eval-auc:0.684571 train-auc:0.999996
[210] eval-auc:0.68486 train-auc:0.999996
[211] eval-auc:0.684935 train-auc:0.999996
[212] eval-auc:0.684962 train-auc:0.999996
[213] eval-auc:0.684608 train-auc:0.999997
[214] eval-auc:0.684845 train-auc:0.999997
[215] eval-auc:0.684402 train-auc:0.999997
[216] eval-auc:0.684321 train-auc:0.999997
[217] eval-auc:0.683531 train-auc:0.999998
[218] eval-auc:0.682823 train-auc:0.999997
[219] eval-auc:0.683082 train-auc:0.999998
[220] eval-auc:0.682989 train-auc:0.999997
[221] eval-auc:0.683099 train-auc:0.999998
[222] eval-auc:0.682849 train-auc:0.999998
[223] eval-auc:0.683182 train-auc:0.999998
[224] eval-auc:0.682942 train-auc:0.999999
[225] eval-auc:0.682511 train-auc:0.999998
[226] eval-auc:0.682859 train-auc:0.999998
[227] eval-auc:0.682829 train-auc:0.999998
[228] eval-auc:0.682479 train-auc:0.999998
[229] eval-auc:0.682681 train-auc:0.999998
[230] eval-auc:0.682301 train-auc:0.999998
[231] eval-auc:0.682441 train-auc:0.999998
[232] eval-auc:0.682777 train-auc:0.999998
Score 0.6827772295922718
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8500000000000001, 'eta': 0.1, 'eval_metric': 'auc', 'gamma': 0.8500000000000001, 'max_depth': 9, 'min_child_weight': 4.0, 'n_estimators': 142.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9, 'tree_method': 'exact'}
[0] eval-auc:0.686258 train-auc:0.823629
[1] eval-auc:0.669685 train-auc:0.879806
[2] eval-auc:0.689962 train-auc:0.905482
[3] eval-auc:0.688881 train-auc:0.928215
[4] eval-auc:0.685316 train-auc:0.939985
[5] eval-auc:0.683943 train-auc:0.952209
[6] eval-auc:0.682065 train-auc:0.955185
[7] eval-auc:0.687926 train-auc:0.960201
[8] eval-auc:0.689879 train-auc:0.96881
[9] eval-auc:0.693817 train-auc:0.975857
[10] eval-auc:0.693304 train-auc:0.980817
[11] eval-auc:0.695111 train-auc:0.982954
[12] eval-auc:0.693356 train-auc:0.984499
[13] eval-auc:0.693027 train-auc:0.987569
[14] eval-auc:0.692061 train-auc:0.988841
[15] eval-auc:0.692996 train-auc:0.990299
[16] eval-auc:0.69245 train-auc:0.991429
[17] eval-auc:0.694359 train-auc:0.992602
[18] eval-auc:0.694143 train-auc:0.993428
[19] eval-auc:0.695944 train-auc:0.993721
[20] eval-auc:0.6965 train-auc:0.994493
[21] eval-auc:0.695396 train-auc:0.995431
[22] eval-auc:0.696191 train-auc:0.995852
[23] eval-auc:0.696267 train-auc:0.996044
[24] eval-auc:0.697368 train-auc:0.996819
[25] eval-auc:0.696888 train-auc:0.997299
[26] eval-auc:0.697159 train-auc:0.997704
[27] eval-auc:0.697228 train-auc:0.997816
[28] eval-auc:0.697411 train-auc:0.997991
[29] eval-auc:0.697924 train-auc:0.998103
[30] eval-auc:0.696381 train-auc:0.998318
[31] eval-auc:0.695588 train-auc:0.998414
[32] eval-auc:0.69657 train-auc:0.998457
[33] eval-auc:0.694973 train-auc:0.998572
[34] eval-auc:0.694557 train-auc:0.998604
[35] eval-auc:0.694248 train-auc:0.998686
[36] eval-auc:0.694256 train-auc:0.998712
[37] eval-auc:0.695227 train-auc:0.99884
[38] eval-auc:0.694769 train-auc:0.999071
[39] eval-auc:0.695139 train-auc:0.999301
[40] eval-auc:0.695008 train-auc:0.999292
[41] eval-auc:0.694186 train-auc:0.999385
[42] eval-auc:0.694746 train-auc:0.999428
[43] eval-auc:0.694231 train-auc:0.999436
[44] eval-auc:0.694062 train-auc:0.99947
[45] eval-auc:0.695351 train-auc:0.999495
[46] eval-auc:0.695397 train-auc:0.999499
[47] eval-auc:0.694827 train-auc:0.999525
[48] eval-auc:0.695224 train-auc:0.999542
[49] eval-auc:0.695419 train-auc:0.999565
[50] eval-auc:0.695315 train-auc:0.999591
[51] eval-auc:0.694406 train-auc:0.99962
[52] eval-auc:0.694394 train-auc:0.999644
[53] eval-auc:0.693487 train-auc:0.999694
[54] eval-auc:0.693881 train-auc:0.999701
[55] eval-auc:0.693531 train-auc:0.99973
[56] eval-auc:0.693636 train-auc:0.999731
[57] eval-auc:0.693312 train-auc:0.999732
[58] eval-auc:0.694428 train-auc:0.999739
[59] eval-auc:0.693908 train-auc:0.999764
[60] eval-auc:0.694269 train-auc:0.999776
[61] eval-auc:0.693683 train-auc:0.999808
[62] eval-auc:0.693115 train-auc:0.999808
[63] eval-auc:0.692894 train-auc:0.999847
[64] eval-auc:0.692788 train-auc:0.999851
[65] eval-auc:0.692782 train-auc:0.99987
[66] eval-auc:0.691891 train-auc:0.999863
[67] eval-auc:0.692529 train-auc:0.999861
[68] eval-auc:0.692811 train-auc:0.999865
[69] eval-auc:0.69229 train-auc:0.999875
[70] eval-auc:0.693823 train-auc:0.999892
[71] eval-auc:0.69297 train-auc:0.999907
[72] eval-auc:0.692712 train-auc:0.999908
[73] eval-auc:0.692591 train-auc:0.999911
[74] eval-auc:0.692469 train-auc:0.999916
[75] eval-auc:0.692395 train-auc:0.999917
[76] eval-auc:0.692407 train-auc:0.99993
[77] eval-auc:0.692756 train-auc:0.999944
[78] eval-auc:0.692858 train-auc:0.999949
[79] eval-auc:0.692608 train-auc:0.99995
[80] eval-auc:0.692299 train-auc:0.99995
[81] eval-auc:0.692253 train-auc:0.99995
[82] eval-auc:0.692955 train-auc:0.999951
[83] eval-auc:0.693864 train-auc:0.999952
[84] eval-auc:0.69423 train-auc:0.999958
[85] eval-auc:0.693628 train-auc:0.999961
[86] eval-auc:0.69394 train-auc:0.999961
[87] eval-auc:0.694088 train-auc:0.999961
[88] eval-auc:0.694712 train-auc:0.999961
[89] eval-auc:0.695019 train-auc:0.999964
[90] eval-auc:0.694671 train-auc:0.999964
[91] eval-auc:0.694288 train-auc:0.999966
[92] eval-auc:0.693968 train-auc:0.999964
[93] eval-auc:0.694041 train-auc:0.999965
[94] eval-auc:0.693781 train-auc:0.999964
[95] eval-auc:0.694155 train-auc:0.999965
[96] eval-auc:0.693965 train-auc:0.999966
[97] eval-auc:0.693707 train-auc:0.999966
[98] eval-auc:0.694344 train-auc:0.999972
[99] eval-auc:0.693229 train-auc:0.999976
[100] eval-auc:0.692727 train-auc:0.999975
[101] eval-auc:0.692268 train-auc:0.999978
[102] eval-auc:0.692847 train-auc:0.999981
[103] eval-auc:0.692501 train-auc:0.999982
[104] eval-auc:0.692043 train-auc:0.999982
[105] eval-auc:0.691731 train-auc:0.999984
[106] eval-auc:0.691017 train-auc:0.999983
[107] eval-auc:0.690618 train-auc:0.999991
[108] eval-auc:0.689651 train-auc:0.999992
[109] eval-auc:0.688673 train-auc:0.999991
[110] eval-auc:0.689157 train-auc:0.999993
[111] eval-auc:0.688523 train-auc:0.999993
[112] eval-auc:0.688545 train-auc:0.999994
[113] eval-auc:0.689086 train-auc:0.999995
[114] eval-auc:0.688571 train-auc:0.999997
[115] eval-auc:0.688685 train-auc:0.999997
[116] eval-auc:0.688848 train-auc:0.999998
[117] eval-auc:0.688862 train-auc:0.999998
[118] eval-auc:0.688926 train-auc:0.999998
[119] eval-auc:0.688641 train-auc:0.999998
[120] eval-auc:0.68933 train-auc:0.999998
[121] eval-auc:0.689084 train-auc:0.999998
[122] eval-auc:0.689161 train-auc:0.999998
[123] eval-auc:0.688338 train-auc:0.999998
[124] eval-auc:0.688739 train-auc:0.999999
[125] eval-auc:0.688943 train-auc:0.999999
[126] eval-auc:0.688434 train-auc:0.999998
[127] eval-auc:0.688154 train-auc:0.999998
[128] eval-auc:0.688343 train-auc:0.999999
[129] eval-auc:0.688099 train-auc:0.999998
[130] eval-auc:0.688698 train-auc:0.999998
[131] eval-auc:0.688434 train-auc:0.999999
[132] eval-auc:0.688497 train-auc:0.999998
[133] eval-auc:0.68844 train-auc:0.999998
[134] eval-auc:0.688396 train-auc:0.999998
[135] eval-auc:0.688241 train-auc:0.999998
[136] eval-auc:0.688229 train-auc:0.999998
[137] eval-auc:0.688705 train-auc:0.999998
[138] eval-auc:0.688998 train-auc:0.999999
[139] eval-auc:0.688809 train-auc:0.999999
[140] eval-auc:0.688861 train-auc:0.999999
[141] eval-auc:0.689017 train-auc:0.999999
Score 0.6890166465665314
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.65, 'eta': 0.07500000000000001, 'eval_metric': 'auc', 'gamma': 0.65, 'max_depth': 12, 'min_child_weight': 2.0, 'n_estimators': 540.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.8, 'tree_method': 'exact'}
[0] eval-auc:0.607658 train-auc:0.825461
[1] eval-auc:0.605881 train-auc:0.901924
[2] eval-auc:0.60223 train-auc:0.944045
[3] eval-auc:0.625567 train-auc:0.956719
[4] eval-auc:0.645557 train-auc:0.969912
[5] eval-auc:0.63999 train-auc:0.979986
[6] eval-auc:0.650328 train-auc:0.98398
[7] eval-auc:0.650072 train-auc:0.987513
[8] eval-auc:0.652979 train-auc:0.991509
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[440] eval-auc:0.700493 train-auc:1
[441] eval-auc:0.700481 train-auc:1
[442] eval-auc:0.700412 train-auc:1
[443] eval-auc:0.700412 train-auc:1
[444] eval-auc:0.700211 train-auc:1
[445] eval-auc:0.70008 train-auc:1
[446] eval-auc:0.700114 train-auc:1
[447] eval-auc:0.700065 train-auc:1
[448] eval-auc:0.700104 train-auc:1
[449] eval-auc:0.700071 train-auc:1
[450] eval-auc:0.700206 train-auc:1
[451] eval-auc:0.700184 train-auc:1
[452] eval-auc:0.700139 train-auc:1
[453] eval-auc:0.700082 train-auc:1
[454] eval-auc:0.700024 train-auc:1
[455] eval-auc:0.700117 train-auc:1
[456] eval-auc:0.700161 train-auc:1
[457] eval-auc:0.700022 train-auc:1
[458] eval-auc:0.700037 train-auc:1
[459] eval-auc:0.700037 train-auc:1
[460] eval-auc:0.699999 train-auc:1
[461] eval-auc:0.699975 train-auc:1
[462] eval-auc:0.699975 train-auc:1
[463] eval-auc:0.69996 train-auc:1
[464] eval-auc:0.700053 train-auc:1
[465] eval-auc:0.700053 train-auc:1
[466] eval-auc:0.700053 train-auc:1
[467] eval-auc:0.699999 train-auc:1
[468] eval-auc:0.69996 train-auc:1
[469] eval-auc:0.699919 train-auc:1
[470] eval-auc:0.700103 train-auc:1
[471] eval-auc:0.69975 train-auc:1
[472] eval-auc:0.699808 train-auc:1
[473] eval-auc:0.699672 train-auc:1
[474] eval-auc:0.699689 train-auc:1
[475] eval-auc:0.699707 train-auc:1
[476] eval-auc:0.699707 train-auc:1
[477] eval-auc:0.699801 train-auc:1
[478] eval-auc:0.699725 train-auc:1
[479] eval-auc:0.699766 train-auc:1
[480] eval-auc:0.699529 train-auc:1
[481] eval-auc:0.699529 train-auc:1
[482] eval-auc:0.699571 train-auc:1
[483] eval-auc:0.699552 train-auc:1
[484] eval-auc:0.699552 train-auc:1
[485] eval-auc:0.699661 train-auc:1
[486] eval-auc:0.69955 train-auc:1
[487] eval-auc:0.699588 train-auc:1
[488] eval-auc:0.699575 train-auc:1
[489] eval-auc:0.699558 train-auc:1
[490] eval-auc:0.699558 train-auc:1
[491] eval-auc:0.699546 train-auc:1
[492] eval-auc:0.699476 train-auc:1
[493] eval-auc:0.699351 train-auc:1
[494] eval-auc:0.699343 train-auc:1
[495] eval-auc:0.699456 train-auc:1
[496] eval-auc:0.700526 train-auc:1
[497] eval-auc:0.700526 train-auc:1
[498] eval-auc:0.70061 train-auc:1
[499] eval-auc:0.700665 train-auc:1
[500] eval-auc:0.700675 train-auc:1
[501] eval-auc:0.700706 train-auc:1
[502] eval-auc:0.700487 train-auc:1
[503] eval-auc:0.700409 train-auc:1
[504] eval-auc:0.700409 train-auc:1
[505] eval-auc:0.700375 train-auc:1
[506] eval-auc:0.700295 train-auc:1
[507] eval-auc:0.700295 train-auc:1
[508] eval-auc:0.700421 train-auc:1
[509] eval-auc:0.700334 train-auc:1
[510] eval-auc:0.700269 train-auc:1
[511] eval-auc:0.700147 train-auc:1
[512] eval-auc:0.699995 train-auc:1
[513] eval-auc:0.700143 train-auc:1
[514] eval-auc:0.7002 train-auc:1
[515] eval-auc:0.7002 train-auc:1
[516] eval-auc:0.70019 train-auc:1
[517] eval-auc:0.700292 train-auc:1
[518] eval-auc:0.700292 train-auc:1
[519] eval-auc:0.700313 train-auc:1
[520] eval-auc:0.700213 train-auc:1
[521] eval-auc:0.699974 train-auc:1
[522] eval-auc:0.700016 train-auc:1
[523] eval-auc:0.699942 train-auc:1
[524] eval-auc:0.699815 train-auc:1
[525] eval-auc:0.699861 train-auc:1
[526] eval-auc:0.699801 train-auc:1
[527] eval-auc:0.699801 train-auc:1
[528] eval-auc:0.699716 train-auc:1
[529] eval-auc:0.699716 train-auc:1
[530] eval-auc:0.699812 train-auc:1
[531] eval-auc:0.69992 train-auc:1
[532] eval-auc:0.699917 train-auc:1
[533] eval-auc:0.699917 train-auc:1
[534] eval-auc:0.699917 train-auc:1
[535] eval-auc:0.699784 train-auc:1
[536] eval-auc:0.699712 train-auc:1
[537] eval-auc:0.699712 train-auc:1
[538] eval-auc:0.699776 train-auc:1
[539] eval-auc:0.699776 train-auc:1
Score 0.6997755484900535
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.5, 'eta': 0.15000000000000002, 'eval_metric': 'auc', 'gamma': 0.7000000000000001, 'max_depth': 5, 'min_child_weight': 3.0, 'n_estimators': 123.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.8500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.537188 train-auc:0.585223
[1] eval-auc:0.665049 train-auc:0.710284
[2] eval-auc:0.655649 train-auc:0.720498
[3] eval-auc:0.661729 train-auc:0.749464
[4] eval-auc:0.663231 train-auc:0.754254
[5] eval-auc:0.671102 train-auc:0.779979
[6] eval-auc:0.678582 train-auc:0.785075
[7] eval-auc:0.675716 train-auc:0.788159
[8] eval-auc:0.695 train-auc:0.798741
[9] eval-auc:0.694466 train-auc:0.799471
[10] eval-auc:0.69648 train-auc:0.809043
[11] eval-auc:0.695724 train-auc:0.814538
[12] eval-auc:0.697035 train-auc:0.818508
[13] eval-auc:0.69838 train-auc:0.821125
[14] eval-auc:0.698302 train-auc:0.824264
[15] eval-auc:0.700532 train-auc:0.828439
[16] eval-auc:0.700484 train-auc:0.830897
[17] eval-auc:0.705187 train-auc:0.838172
[18] eval-auc:0.703651 train-auc:0.842036
[19] eval-auc:0.70807 train-auc:0.853062
[20] eval-auc:0.709731 train-auc:0.853689
[21] eval-auc:0.709188 train-auc:0.854982
[22] eval-auc:0.710372 train-auc:0.859164
[23] eval-auc:0.711734 train-auc:0.859822
[24] eval-auc:0.711523 train-auc:0.862522
[25] eval-auc:0.710914 train-auc:0.865642
[26] eval-auc:0.710716 train-auc:0.869099
[27] eval-auc:0.710473 train-auc:0.871188
[28] eval-auc:0.712203 train-auc:0.873352
[29] eval-auc:0.711622 train-auc:0.874104
[30] eval-auc:0.711953 train-auc:0.875751
[31] eval-auc:0.711734 train-auc:0.878082
[32] eval-auc:0.712932 train-auc:0.88112
[33] eval-auc:0.713005 train-auc:0.882
[34] eval-auc:0.712524 train-auc:0.885074
[35] eval-auc:0.712897 train-auc:0.889605
[36] eval-auc:0.712976 train-auc:0.890145
[37] eval-auc:0.713101 train-auc:0.892941
[38] eval-auc:0.712714 train-auc:0.893752
[39] eval-auc:0.711957 train-auc:0.895528
[40] eval-auc:0.710838 train-auc:0.897897
[41] eval-auc:0.7126 train-auc:0.90143
[42] eval-auc:0.711827 train-auc:0.901748
[43] eval-auc:0.712421 train-auc:0.904088
[44] eval-auc:0.712725 train-auc:0.90911
[45] eval-auc:0.712303 train-auc:0.911812
[46] eval-auc:0.710604 train-auc:0.914694
[47] eval-auc:0.71093 train-auc:0.917343
[48] eval-auc:0.711093 train-auc:0.917995
[49] eval-auc:0.709883 train-auc:0.920287
[50] eval-auc:0.708265 train-auc:0.921121
[51] eval-auc:0.708892 train-auc:0.921535
[52] eval-auc:0.709797 train-auc:0.924924
[53] eval-auc:0.709893 train-auc:0.927059
[54] eval-auc:0.708516 train-auc:0.929545
[55] eval-auc:0.708087 train-auc:0.931533
[56] eval-auc:0.707656 train-auc:0.933968
[57] eval-auc:0.708513 train-auc:0.935937
[58] eval-auc:0.708065 train-auc:0.936398
[59] eval-auc:0.706325 train-auc:0.937424
[60] eval-auc:0.705699 train-auc:0.939811
[61] eval-auc:0.706526 train-auc:0.941049
[62] eval-auc:0.706786 train-auc:0.942546
[63] eval-auc:0.70886 train-auc:0.946489
[64] eval-auc:0.708542 train-auc:0.946557
[65] eval-auc:0.707793 train-auc:0.946715
[66] eval-auc:0.707793 train-auc:0.946599
[67] eval-auc:0.707557 train-auc:0.947046
[68] eval-auc:0.707047 train-auc:0.947687
[69] eval-auc:0.707182 train-auc:0.947981
[70] eval-auc:0.707613 train-auc:0.951372
[71] eval-auc:0.708315 train-auc:0.952451
[72] eval-auc:0.709381 train-auc:0.953037
[73] eval-auc:0.709062 train-auc:0.953085
[74] eval-auc:0.708757 train-auc:0.954268
[75] eval-auc:0.70856 train-auc:0.954232
[76] eval-auc:0.709754 train-auc:0.955175
[77] eval-auc:0.708566 train-auc:0.955714
[78] eval-auc:0.709864 train-auc:0.956969
[79] eval-auc:0.709801 train-auc:0.956964
[80] eval-auc:0.709363 train-auc:0.956996
[81] eval-auc:0.709244 train-auc:0.957894
[82] eval-auc:0.709011 train-auc:0.959007
[83] eval-auc:0.709154 train-auc:0.960383
[84] eval-auc:0.710549 train-auc:0.960812
[85] eval-auc:0.710971 train-auc:0.961233
[86] eval-auc:0.710458 train-auc:0.9611
[87] eval-auc:0.710022 train-auc:0.961535
[88] eval-auc:0.709536 train-auc:0.96208
[89] eval-auc:0.708822 train-auc:0.962946
[90] eval-auc:0.708563 train-auc:0.963029
[91] eval-auc:0.70809 train-auc:0.963589
[92] eval-auc:0.708518 train-auc:0.964739
[93] eval-auc:0.70817 train-auc:0.965631
[94] eval-auc:0.707567 train-auc:0.966693
[95] eval-auc:0.709518 train-auc:0.966282
[96] eval-auc:0.708944 train-auc:0.9666
[97] eval-auc:0.709472 train-auc:0.967198
[98] eval-auc:0.709518 train-auc:0.968271
[99] eval-auc:0.709521 train-auc:0.969243
[100] eval-auc:0.709191 train-auc:0.969563
[101] eval-auc:0.709051 train-auc:0.969619
[102] eval-auc:0.708697 train-auc:0.970561
[103] eval-auc:0.708338 train-auc:0.970527
[104] eval-auc:0.708786 train-auc:0.97124
[105] eval-auc:0.708894 train-auc:0.971941
[106] eval-auc:0.708376 train-auc:0.972824
[107] eval-auc:0.70795 train-auc:0.973115
[108] eval-auc:0.707806 train-auc:0.974403
[109] eval-auc:0.708196 train-auc:0.974583
[110] eval-auc:0.708056 train-auc:0.97494
[111] eval-auc:0.706524 train-auc:0.97559
[112] eval-auc:0.706383 train-auc:0.976206
[113] eval-auc:0.707083 train-auc:0.976355
[114] eval-auc:0.707538 train-auc:0.976469
[115] eval-auc:0.707948 train-auc:0.976865
[116] eval-auc:0.707441 train-auc:0.978219
[117] eval-auc:0.706671 train-auc:0.978561
[118] eval-auc:0.706071 train-auc:0.979196
[119] eval-auc:0.706093 train-auc:0.979581
[120] eval-auc:0.705947 train-auc:0.97977
[121] eval-auc:0.705847 train-auc:0.980306
[122] eval-auc:0.70556 train-auc:0.980451
Score 0.7055604283156086
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.75, 'eta': 0.17500000000000002, 'eval_metric': 'auc', 'gamma': 0.9, 'max_depth': 2, 'min_child_weight': 5.0, 'n_estimators': 428.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.673761 train-auc:0.684105
[1] eval-auc:0.668297 train-auc:0.692726
[2] eval-auc:0.679675 train-auc:0.697117
[3] eval-auc:0.678812 train-auc:0.705093
[4] eval-auc:0.696446 train-auc:0.710335
[5] eval-auc:0.695557 train-auc:0.709476
[6] eval-auc:0.696037 train-auc:0.710923
[7] eval-auc:0.693385 train-auc:0.71608
[8] eval-auc:0.69529 train-auc:0.715063
[9] eval-auc:0.696736 train-auc:0.715426
[10] eval-auc:0.696607 train-auc:0.716402
[11] eval-auc:0.698357 train-auc:0.716731
[12] eval-auc:0.697249 train-auc:0.71461
[13] eval-auc:0.697813 train-auc:0.716101
[14] eval-auc:0.698006 train-auc:0.717385
[15] eval-auc:0.699577 train-auc:0.719311
[16] eval-auc:0.700838 train-auc:0.721911
[17] eval-auc:0.703205 train-auc:0.724941
[18] eval-auc:0.704152 train-auc:0.726631
[19] eval-auc:0.701932 train-auc:0.726399
[20] eval-auc:0.701137 train-auc:0.725755
[21] eval-auc:0.701611 train-auc:0.725715
[22] eval-auc:0.701996 train-auc:0.727674
[23] eval-auc:0.702773 train-auc:0.728688
[24] eval-auc:0.704716 train-auc:0.729177
[25] eval-auc:0.704452 train-auc:0.728953
[26] eval-auc:0.705905 train-auc:0.730149
[27] eval-auc:0.706584 train-auc:0.730659
[28] eval-auc:0.707021 train-auc:0.731273
[29] eval-auc:0.707768 train-auc:0.732985
[30] eval-auc:0.70747 train-auc:0.734277
[31] eval-auc:0.707683 train-auc:0.734967
[32] eval-auc:0.708069 train-auc:0.735255
[33] eval-auc:0.708347 train-auc:0.735558
[34] eval-auc:0.708435 train-auc:0.735949
[35] eval-auc:0.707924 train-auc:0.735756
[36] eval-auc:0.708257 train-auc:0.736663
[37] eval-auc:0.708599 train-auc:0.737965
[38] eval-auc:0.709606 train-auc:0.739922
[39] eval-auc:0.709569 train-auc:0.741269
[40] eval-auc:0.708658 train-auc:0.741839
[41] eval-auc:0.709674 train-auc:0.743072
[42] eval-auc:0.710575 train-auc:0.743817
[43] eval-auc:0.710203 train-auc:0.744301
[44] eval-auc:0.710378 train-auc:0.744783
[45] eval-auc:0.711057 train-auc:0.746742
[46] eval-auc:0.710694 train-auc:0.748238
[47] eval-auc:0.712152 train-auc:0.75025
[48] eval-auc:0.711631 train-auc:0.750494
[49] eval-auc:0.712684 train-auc:0.752051
[50] eval-auc:0.712923 train-auc:0.75223
[51] eval-auc:0.711585 train-auc:0.753687
[52] eval-auc:0.71205 train-auc:0.753818
[53] eval-auc:0.710473 train-auc:0.75474
[54] eval-auc:0.711488 train-auc:0.755758
[55] eval-auc:0.711969 train-auc:0.756108
[56] eval-auc:0.712715 train-auc:0.756277
[57] eval-auc:0.713612 train-auc:0.756671
[58] eval-auc:0.71379 train-auc:0.757177
[59] eval-auc:0.713268 train-auc:0.758814
[60] eval-auc:0.712871 train-auc:0.760763
[61] eval-auc:0.712997 train-auc:0.761013
[62] eval-auc:0.713211 train-auc:0.761467
[63] eval-auc:0.712573 train-auc:0.762276
[64] eval-auc:0.711717 train-auc:0.762936
[65] eval-auc:0.712234 train-auc:0.762707
[66] eval-auc:0.713023 train-auc:0.763845
[67] eval-auc:0.712258 train-auc:0.764112
[68] eval-auc:0.712232 train-auc:0.764824
[69] eval-auc:0.711488 train-auc:0.765642
[70] eval-auc:0.711772 train-auc:0.765828
[71] eval-auc:0.711862 train-auc:0.766868
[72] eval-auc:0.711614 train-auc:0.767205
[73] eval-auc:0.712098 train-auc:0.768501
[74] eval-auc:0.712302 train-auc:0.769913
[75] eval-auc:0.713135 train-auc:0.771266
[76] eval-auc:0.71275 train-auc:0.771837
[77] eval-auc:0.71217 train-auc:0.772188
[78] eval-auc:0.712858 train-auc:0.772917
[79] eval-auc:0.713218 train-auc:0.773925
[80] eval-auc:0.712969 train-auc:0.774563
[81] eval-auc:0.712101 train-auc:0.775544
[82] eval-auc:0.710423 train-auc:0.776312
[83] eval-auc:0.710488 train-auc:0.777692
[84] eval-auc:0.710721 train-auc:0.779493
[85] eval-auc:0.71126 train-auc:0.781487
[86] eval-auc:0.711444 train-auc:0.782025
[87] eval-auc:0.711065 train-auc:0.782171
[88] eval-auc:0.710878 train-auc:0.783322
[89] eval-auc:0.710674 train-auc:0.783953
[90] eval-auc:0.71036 train-auc:0.784715
[91] eval-auc:0.710745 train-auc:0.785972
[92] eval-auc:0.710917 train-auc:0.786158
[93] eval-auc:0.711465 train-auc:0.786224
[94] eval-auc:0.711832 train-auc:0.786587
[95] eval-auc:0.711702 train-auc:0.787568
[96] eval-auc:0.712022 train-auc:0.787789
[97] eval-auc:0.713032 train-auc:0.789206
[98] eval-auc:0.713688 train-auc:0.790134
[99] eval-auc:0.712924 train-auc:0.791059
[100] eval-auc:0.71286 train-auc:0.791009
[101] eval-auc:0.713061 train-auc:0.791028
[102] eval-auc:0.713411 train-auc:0.7912
[103] eval-auc:0.713023 train-auc:0.792407
[104] eval-auc:0.712144 train-auc:0.792994
[105] eval-auc:0.711512 train-auc:0.793287
[106] eval-auc:0.712203 train-auc:0.793976
[107] eval-auc:0.712149 train-auc:0.794768
[108] eval-auc:0.712113 train-auc:0.795408
[109] eval-auc:0.711559 train-auc:0.795658
[110] eval-auc:0.711642 train-auc:0.796038
[111] eval-auc:0.71123 train-auc:0.796549
[112] eval-auc:0.71227 train-auc:0.797509
[113] eval-auc:0.712889 train-auc:0.797303
[114] eval-auc:0.712472 train-auc:0.797662
[115] eval-auc:0.712332 train-auc:0.798252
[116] eval-auc:0.712449 train-auc:0.798922
[117] eval-auc:0.712055 train-auc:0.799667
[118] eval-auc:0.712734 train-auc:0.80061
[119] eval-auc:0.71292 train-auc:0.801291
[120] eval-auc:0.712504 train-auc:0.802056
[121] eval-auc:0.712027 train-auc:0.802788
[122] eval-auc:0.711533 train-auc:0.80388
[123] eval-auc:0.711559 train-auc:0.805051
[124] eval-auc:0.711108 train-auc:0.806107
[125] eval-auc:0.711476 train-auc:0.806928
[126] eval-auc:0.711592 train-auc:0.807509
[127] eval-auc:0.709957 train-auc:0.807124
[128] eval-auc:0.70989 train-auc:0.807541
[129] eval-auc:0.7096 train-auc:0.808091
[130] eval-auc:0.709332 train-auc:0.808831
[131] eval-auc:0.709532 train-auc:0.809271
[132] eval-auc:0.709982 train-auc:0.81023
[133] eval-auc:0.709897 train-auc:0.810558
[134] eval-auc:0.709839 train-auc:0.810703
[135] eval-auc:0.709647 train-auc:0.811045
[136] eval-auc:0.708743 train-auc:0.811566
[137] eval-auc:0.707925 train-auc:0.812173
[138] eval-auc:0.708831 train-auc:0.812855
[139] eval-auc:0.709768 train-auc:0.813319
[140] eval-auc:0.71031 train-auc:0.815382
[141] eval-auc:0.710681 train-auc:0.814897
[142] eval-auc:0.709663 train-auc:0.815283
[143] eval-auc:0.709724 train-auc:0.816012
[144] eval-auc:0.710025 train-auc:0.816489
[145] eval-auc:0.710397 train-auc:0.81676
[146] eval-auc:0.709829 train-auc:0.81804
[147] eval-auc:0.709474 train-auc:0.817682
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[189] eval-auc:0.710595 train-auc:0.834709
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[200] eval-auc:0.708228 train-auc:0.840068
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[233] eval-auc:0.707937 train-auc:0.850951
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[238] eval-auc:0.70786 train-auc:0.852649
[239] eval-auc:0.70812 train-auc:0.852695
[240] eval-auc:0.708157 train-auc:0.85296
[241] eval-auc:0.707979 train-auc:0.853154
[242] eval-auc:0.70749 train-auc:0.853951
[243] eval-auc:0.707082 train-auc:0.854273
[244] eval-auc:0.707267 train-auc:0.854319
[245] eval-auc:0.707085 train-auc:0.854795
[246] eval-auc:0.707231 train-auc:0.855189
[247] eval-auc:0.706867 train-auc:0.855379
[248] eval-auc:0.707045 train-auc:0.855462
[249] eval-auc:0.707359 train-auc:0.855406
[250] eval-auc:0.707159 train-auc:0.855636
[251] eval-auc:0.707628 train-auc:0.856055
[252] eval-auc:0.707429 train-auc:0.856485
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[254] eval-auc:0.707508 train-auc:0.857232
[255] eval-auc:0.706846 train-auc:0.857243
[256] eval-auc:0.706856 train-auc:0.857623
[257] eval-auc:0.707012 train-auc:0.857627
[258] eval-auc:0.707025 train-auc:0.85807
[259] eval-auc:0.706896 train-auc:0.858717
[260] eval-auc:0.706782 train-auc:0.858951
[261] eval-auc:0.707178 train-auc:0.859219
[262] eval-auc:0.706724 train-auc:0.859374
[263] eval-auc:0.706489 train-auc:0.859619
[264] eval-auc:0.706779 train-auc:0.859877
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[266] eval-auc:0.705789 train-auc:0.860491
[267] eval-auc:0.705895 train-auc:0.860659
[268] eval-auc:0.705731 train-auc:0.86074
[269] eval-auc:0.705819 train-auc:0.861286
[270] eval-auc:0.705562 train-auc:0.861656
[271] eval-auc:0.705294 train-auc:0.862533
[272] eval-auc:0.705187 train-auc:0.862642
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[274] eval-auc:0.705373 train-auc:0.862662
[275] eval-auc:0.705538 train-auc:0.862792
[276] eval-auc:0.705752 train-auc:0.863124
[277] eval-auc:0.705525 train-auc:0.863335
[278] eval-auc:0.705804 train-auc:0.863559
[279] eval-auc:0.705835 train-auc:0.863603
[280] eval-auc:0.705589 train-auc:0.863711
[281] eval-auc:0.705815 train-auc:0.864249
[282] eval-auc:0.705941 train-auc:0.864429
[283] eval-auc:0.706224 train-auc:0.86482
[284] eval-auc:0.705742 train-auc:0.865083
[285] eval-auc:0.705964 train-auc:0.865215
[286] eval-auc:0.705821 train-auc:0.865366
[287] eval-auc:0.705895 train-auc:0.866131
[288] eval-auc:0.70574 train-auc:0.866118
[289] eval-auc:0.705563 train-auc:0.866571
[290] eval-auc:0.705544 train-auc:0.866298
[291] eval-auc:0.70586 train-auc:0.866534
[292] eval-auc:0.705938 train-auc:0.866701
[293] eval-auc:0.705681 train-auc:0.866753
[294] eval-auc:0.705544 train-auc:0.86707
[295] eval-auc:0.706142 train-auc:0.86773
[296] eval-auc:0.706153 train-auc:0.867912
[297] eval-auc:0.706237 train-auc:0.86801
[298] eval-auc:0.706297 train-auc:0.868176
[299] eval-auc:0.706089 train-auc:0.867908
[300] eval-auc:0.705394 train-auc:0.868014
[301] eval-auc:0.705839 train-auc:0.868069
[302] eval-auc:0.705583 train-auc:0.868434
[303] eval-auc:0.705458 train-auc:0.868875
[304] eval-auc:0.704904 train-auc:0.869133
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[306] eval-auc:0.704589 train-auc:0.8694
[307] eval-auc:0.704103 train-auc:0.869581
[308] eval-auc:0.70399 train-auc:0.869695
[309] eval-auc:0.703528 train-auc:0.870145
[310] eval-auc:0.70343 train-auc:0.870301
[311] eval-auc:0.703518 train-auc:0.870774
[312] eval-auc:0.703497 train-auc:0.870853
[313] eval-auc:0.703869 train-auc:0.871165
[314] eval-auc:0.703351 train-auc:0.871228
[315] eval-auc:0.70322 train-auc:0.871643
[316] eval-auc:0.703454 train-auc:0.871668
[317] eval-auc:0.703529 train-auc:0.871497
[318] eval-auc:0.703604 train-auc:0.871682
[319] eval-auc:0.703418 train-auc:0.871775
[320] eval-auc:0.703677 train-auc:0.871873
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[322] eval-auc:0.703803 train-auc:0.872647
[323] eval-auc:0.704111 train-auc:0.872791
[324] eval-auc:0.704076 train-auc:0.872924
[325] eval-auc:0.704026 train-auc:0.873287
[326] eval-auc:0.703585 train-auc:0.872837
[327] eval-auc:0.704153 train-auc:0.873176
[328] eval-auc:0.704219 train-auc:0.873421
[329] eval-auc:0.704041 train-auc:0.873455
[330] eval-auc:0.703704 train-auc:0.873594
[331] eval-auc:0.703654 train-auc:0.87375
[332] eval-auc:0.703682 train-auc:0.873976
[333] eval-auc:0.703682 train-auc:0.874297
[334] eval-auc:0.704083 train-auc:0.874665
[335] eval-auc:0.703618 train-auc:0.874921
[336] eval-auc:0.704061 train-auc:0.875103
[337] eval-auc:0.703758 train-auc:0.875153
[338] eval-auc:0.703925 train-auc:0.875467
[339] eval-auc:0.703611 train-auc:0.875628
[340] eval-auc:0.703742 train-auc:0.875899
[341] eval-auc:0.703744 train-auc:0.876266
[342] eval-auc:0.703732 train-auc:0.876335
[343] eval-auc:0.704027 train-auc:0.876585
[344] eval-auc:0.7038 train-auc:0.876949
[345] eval-auc:0.70384 train-auc:0.877094
[346] eval-auc:0.703739 train-auc:0.877141
[347] eval-auc:0.703485 train-auc:0.87704
[348] eval-auc:0.703436 train-auc:0.877123
[349] eval-auc:0.703518 train-auc:0.877259
[350] eval-auc:0.703232 train-auc:0.877321
[351] eval-auc:0.703435 train-auc:0.877762
[352] eval-auc:0.703537 train-auc:0.87775
[353] eval-auc:0.703416 train-auc:0.877688
[354] eval-auc:0.703217 train-auc:0.878108
[355] eval-auc:0.703335 train-auc:0.878368
[356] eval-auc:0.703247 train-auc:0.878373
[357] eval-auc:0.70313 train-auc:0.878558
[358] eval-auc:0.703158 train-auc:0.878567
[359] eval-auc:0.703142 train-auc:0.878708
[360] eval-auc:0.702969 train-auc:0.878712
[361] eval-auc:0.703231 train-auc:0.878795
[362] eval-auc:0.703933 train-auc:0.879288
[363] eval-auc:0.704006 train-auc:0.879892
[364] eval-auc:0.703764 train-auc:0.880095
[365] eval-auc:0.703881 train-auc:0.880324
[366] eval-auc:0.703997 train-auc:0.880534
[367] eval-auc:0.703955 train-auc:0.880778
[368] eval-auc:0.704557 train-auc:0.881252
[369] eval-auc:0.70435 train-auc:0.881289
[370] eval-auc:0.703733 train-auc:0.88152
[371] eval-auc:0.704204 train-auc:0.88213
[372] eval-auc:0.704479 train-auc:0.882427
[373] eval-auc:0.704528 train-auc:0.882482
[374] eval-auc:0.704528 train-auc:0.882509
[375] eval-auc:0.704511 train-auc:0.882468
[376] eval-auc:0.704536 train-auc:0.882463
[377] eval-auc:0.704571 train-auc:0.882354
[378] eval-auc:0.704887 train-auc:0.882481
[379] eval-auc:0.704951 train-auc:0.882512
[380] eval-auc:0.704903 train-auc:0.882627
[381] eval-auc:0.705295 train-auc:0.882775
[382] eval-auc:0.705184 train-auc:0.882912
[383] eval-auc:0.705006 train-auc:0.883074
[384] eval-auc:0.704929 train-auc:0.883324
[385] eval-auc:0.704787 train-auc:0.883403
[386] eval-auc:0.704901 train-auc:0.883388
[387] eval-auc:0.704685 train-auc:0.883539
[388] eval-auc:0.704738 train-auc:0.883933
[389] eval-auc:0.705164 train-auc:0.884128
[390] eval-auc:0.705309 train-auc:0.884171
[391] eval-auc:0.705288 train-auc:0.884399
[392] eval-auc:0.705369 train-auc:0.884357
[393] eval-auc:0.705404 train-auc:0.884566
[394] eval-auc:0.705733 train-auc:0.885112
[395] eval-auc:0.705248 train-auc:0.885184
[396] eval-auc:0.705213 train-auc:0.885443
[397] eval-auc:0.70493 train-auc:0.88564
[398] eval-auc:0.70491 train-auc:0.885886
[399] eval-auc:0.705126 train-auc:0.886063
[400] eval-auc:0.705478 train-auc:0.886204
[401] eval-auc:0.706112 train-auc:0.88634
[402] eval-auc:0.706339 train-auc:0.8866
[403] eval-auc:0.705699 train-auc:0.886824
[404] eval-auc:0.705656 train-auc:0.886517
[405] eval-auc:0.705591 train-auc:0.886529
[406] eval-auc:0.705679 train-auc:0.886719
[407] eval-auc:0.705617 train-auc:0.886972
[408] eval-auc:0.70579 train-auc:0.887393
[409] eval-auc:0.705725 train-auc:0.887513
[410] eval-auc:0.705696 train-auc:0.887555
[411] eval-auc:0.704755 train-auc:0.888179
[412] eval-auc:0.705009 train-auc:0.888442
[413] eval-auc:0.704941 train-auc:0.888483
[414] eval-auc:0.704874 train-auc:0.888738
[415] eval-auc:0.70496 train-auc:0.888824
[416] eval-auc:0.704884 train-auc:0.889066
[417] eval-auc:0.704903 train-auc:0.889006
[418] eval-auc:0.704948 train-auc:0.888992
[419] eval-auc:0.704763 train-auc:0.889095
[420] eval-auc:0.705059 train-auc:0.889124
[421] eval-auc:0.705218 train-auc:0.889061
[422] eval-auc:0.705072 train-auc:0.889063
[423] eval-auc:0.705496 train-auc:0.889347
[424] eval-auc:0.705446 train-auc:0.889541
[425] eval-auc:0.705605 train-auc:0.889503
[426] eval-auc:0.705652 train-auc:0.889582
[427] eval-auc:0.705682 train-auc:0.889643
Score 0.7056822473169364
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.65, 'eta': 0.125, 'eval_metric': 'auc', 'gamma': 0.8, 'max_depth': 13, 'min_child_weight': 3.0, 'n_estimators': 190.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.75, 'tree_method': 'exact'}
[0] eval-auc:0.624791 train-auc:0.816646
[1] eval-auc:0.636283 train-auc:0.892981
[2] eval-auc:0.628072 train-auc:0.933512
[3] eval-auc:0.641916 train-auc:0.944809
[4] eval-auc:0.663388 train-auc:0.962182
[5] eval-auc:0.653392 train-auc:0.976416
[6] eval-auc:0.65883 train-auc:0.982694
[7] eval-auc:0.651821 train-auc:0.987434
[8] eval-auc:0.651733 train-auc:0.991142
[9] eval-auc:0.661205 train-auc:0.994149
[10] eval-auc:0.65878 train-auc:0.995405
[11] eval-auc:0.659035 train-auc:0.996634
[12] eval-auc:0.658336 train-auc:0.997352
[13] eval-auc:0.656333 train-auc:0.997923
[14] eval-auc:0.660117 train-auc:0.998781
[15] eval-auc:0.655951 train-auc:0.999115
[16] eval-auc:0.652501 train-auc:0.999387
[17] eval-auc:0.662759 train-auc:0.999593
[18] eval-auc:0.661368 train-auc:0.999707
[19] eval-auc:0.666679 train-auc:0.999765
[20] eval-auc:0.664399 train-auc:0.999779
[21] eval-auc:0.662983 train-auc:0.99979
[22] eval-auc:0.662287 train-auc:0.999815
[23] eval-auc:0.66254 train-auc:0.999823
[24] eval-auc:0.662922 train-auc:0.999845
[25] eval-auc:0.661651 train-auc:0.999844
[26] eval-auc:0.661113 train-auc:0.999902
[27] eval-auc:0.660053 train-auc:0.999931
[28] eval-auc:0.662954 train-auc:0.999946
[29] eval-auc:0.6615 train-auc:0.999959
[30] eval-auc:0.662383 train-auc:0.999973
[31] eval-auc:0.663012 train-auc:0.999981
[32] eval-auc:0.662421 train-auc:0.999989
[33] eval-auc:0.661876 train-auc:0.999989
[34] eval-auc:0.662542 train-auc:0.999988
[35] eval-auc:0.663716 train-auc:0.999989
[36] eval-auc:0.663909 train-auc:0.999992
[37] eval-auc:0.662668 train-auc:0.999992
[38] eval-auc:0.663122 train-auc:0.999995
[39] eval-auc:0.66161 train-auc:0.999995
[40] eval-auc:0.663212 train-auc:0.999996
[41] eval-auc:0.662768 train-auc:0.999996
[42] eval-auc:0.662453 train-auc:0.999998
[43] eval-auc:0.662409 train-auc:0.999999
[44] eval-auc:0.667573 train-auc:0.999998
[45] eval-auc:0.66816 train-auc:0.999999
[46] eval-auc:0.66628 train-auc:0.999999
[47] eval-auc:0.667821 train-auc:0.999999
[48] eval-auc:0.668004 train-auc:0.999999
[49] eval-auc:0.668252 train-auc:1
[50] eval-auc:0.668084 train-auc:1
[51] eval-auc:0.66836 train-auc:1
[52] eval-auc:0.668409 train-auc:1
[53] eval-auc:0.667536 train-auc:0.999999
[54] eval-auc:0.668932 train-auc:1
[55] eval-auc:0.668224 train-auc:1
[56] eval-auc:0.668066 train-auc:1
[57] eval-auc:0.667842 train-auc:1
[58] eval-auc:0.668333 train-auc:1
[59] eval-auc:0.671896 train-auc:0.999999
[60] eval-auc:0.675989 train-auc:0.999999
[61] eval-auc:0.674352 train-auc:1
[62] eval-auc:0.674529 train-auc:1
[63] eval-auc:0.678332 train-auc:1
[64] eval-auc:0.678236 train-auc:1
[65] eval-auc:0.677291 train-auc:1
[66] eval-auc:0.677544 train-auc:1
[67] eval-auc:0.678511 train-auc:1
[68] eval-auc:0.677729 train-auc:1
[69] eval-auc:0.675894 train-auc:1
[70] eval-auc:0.677372 train-auc:1
[71] eval-auc:0.677344 train-auc:1
[72] eval-auc:0.677347 train-auc:1
[73] eval-auc:0.677128 train-auc:1
[74] eval-auc:0.678284 train-auc:1
[75] eval-auc:0.678658 train-auc:1
[76] eval-auc:0.678509 train-auc:1
[77] eval-auc:0.67829 train-auc:1
[78] eval-auc:0.678821 train-auc:1
[79] eval-auc:0.679324 train-auc:1
[80] eval-auc:0.678792 train-auc:1
[81] eval-auc:0.67843 train-auc:1
[82] eval-auc:0.678064 train-auc:1
[83] eval-auc:0.677859 train-auc:1
[84] eval-auc:0.67807 train-auc:1
[85] eval-auc:0.677611 train-auc:1
[86] eval-auc:0.677175 train-auc:1
[87] eval-auc:0.679925 train-auc:1
[88] eval-auc:0.680053 train-auc:1
[89] eval-auc:0.68031 train-auc:1
[90] eval-auc:0.680693 train-auc:1
[91] eval-auc:0.679873 train-auc:1
[92] eval-auc:0.67972 train-auc:1
[93] eval-auc:0.67911 train-auc:1
[94] eval-auc:0.679766 train-auc:1
[95] eval-auc:0.680516 train-auc:1
[96] eval-auc:0.680045 train-auc:1
[97] eval-auc:0.679356 train-auc:1
[98] eval-auc:0.679519 train-auc:1
[99] eval-auc:0.67912 train-auc:1
[100] eval-auc:0.679167 train-auc:1
[101] eval-auc:0.678422 train-auc:1
[102] eval-auc:0.678247 train-auc:1
[103] eval-auc:0.681009 train-auc:1
[104] eval-auc:0.680722 train-auc:1
[105] eval-auc:0.680942 train-auc:1
[106] eval-auc:0.68067 train-auc:1
[107] eval-auc:0.679506 train-auc:1
[108] eval-auc:0.679328 train-auc:1
[109] eval-auc:0.678893 train-auc:1
[110] eval-auc:0.680444 train-auc:1
[111] eval-auc:0.680187 train-auc:1
[112] eval-auc:0.679663 train-auc:1
[113] eval-auc:0.679438 train-auc:1
[114] eval-auc:0.680315 train-auc:1
[115] eval-auc:0.68095 train-auc:1
[116] eval-auc:0.681483 train-auc:1
[117] eval-auc:0.681771 train-auc:1
[118] eval-auc:0.681568 train-auc:1
[119] eval-auc:0.682633 train-auc:1
[120] eval-auc:0.682325 train-auc:1
[121] eval-auc:0.683263 train-auc:1
[122] eval-auc:0.683303 train-auc:1
[123] eval-auc:0.682866 train-auc:1
[124] eval-auc:0.682896 train-auc:1
[125] eval-auc:0.683179 train-auc:1
[126] eval-auc:0.682084 train-auc:1
[127] eval-auc:0.682823 train-auc:1
[128] eval-auc:0.683123 train-auc:1
[129] eval-auc:0.683855 train-auc:1
[130] eval-auc:0.683692 train-auc:1
[131] eval-auc:0.683251 train-auc:1
[132] eval-auc:0.683214 train-auc:1
[133] eval-auc:0.682514 train-auc:1
[134] eval-auc:0.682202 train-auc:1
[135] eval-auc:0.682016 train-auc:1
[136] eval-auc:0.681952 train-auc:1
[137] eval-auc:0.681615 train-auc:1
[138] eval-auc:0.681255 train-auc:1
[139] eval-auc:0.680677 train-auc:1
[140] eval-auc:0.681434 train-auc:1
[141] eval-auc:0.681551 train-auc:1
[142] eval-auc:0.68098 train-auc:1
[143] eval-auc:0.681043 train-auc:1
[144] eval-auc:0.682144 train-auc:1
[145] eval-auc:0.68176 train-auc:1
[146] eval-auc:0.681669 train-auc:1
[147] eval-auc:0.681839 train-auc:1
[148] eval-auc:0.681861 train-auc:1
[149] eval-auc:0.681413 train-auc:1
[150] eval-auc:0.681515 train-auc:1
[151] eval-auc:0.681035 train-auc:1
[152] eval-auc:0.68125 train-auc:1
[153] eval-auc:0.681117 train-auc:1
[154] eval-auc:0.68098 train-auc:1
[155] eval-auc:0.680653 train-auc:1
[156] eval-auc:0.681373 train-auc:1
[157] eval-auc:0.680944 train-auc:1
[158] eval-auc:0.680948 train-auc:1
[159] eval-auc:0.681061 train-auc:1
[160] eval-auc:0.680789 train-auc:1
[161] eval-auc:0.680546 train-auc:1
[162] eval-auc:0.680566 train-auc:1
[163] eval-auc:0.680875 train-auc:1
[164] eval-auc:0.680533 train-auc:1
[165] eval-auc:0.680527 train-auc:1
[166] eval-auc:0.680353 train-auc:1
[167] eval-auc:0.68045 train-auc:1
[168] eval-auc:0.680743 train-auc:1
[169] eval-auc:0.68099 train-auc:1
[170] eval-auc:0.681017 train-auc:1
[171] eval-auc:0.680942 train-auc:1
[172] eval-auc:0.681122 train-auc:1
[173] eval-auc:0.681024 train-auc:1
[174] eval-auc:0.680564 train-auc:1
[175] eval-auc:0.680691 train-auc:1
[176] eval-auc:0.680828 train-auc:1
[177] eval-auc:0.680496 train-auc:1
[178] eval-auc:0.680694 train-auc:1
[179] eval-auc:0.680717 train-auc:1
[180] eval-auc:0.68038 train-auc:1
[181] eval-auc:0.680685 train-auc:1
[182] eval-auc:0.680572 train-auc:1
[183] eval-auc:0.680728 train-auc:1
[184] eval-auc:0.680674 train-auc:1
[185] eval-auc:0.680213 train-auc:1
[186] eval-auc:0.680399 train-auc:1
[187] eval-auc:0.680248 train-auc:1
[188] eval-auc:0.679552 train-auc:1
[189] eval-auc:0.679957 train-auc:1
Score 0.6799571197115326
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8, 'eta': 0.025, 'eval_metric': 'auc', 'gamma': 0.9500000000000001, 'max_depth': 11, 'min_child_weight': 4.0, 'n_estimators': 357.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9, 'tree_method': 'exact'}
[0] eval-auc:0.632595 train-auc:0.801315
[1] eval-auc:0.647745 train-auc:0.889282
[2] eval-auc:0.643115 train-auc:0.925881
[3] eval-auc:0.660381 train-auc:0.946564
[4] eval-auc:0.68519 train-auc:0.957591
[5] eval-auc:0.680904 train-auc:0.969103
[6] eval-auc:0.681567 train-auc:0.972483
[7] eval-auc:0.675896 train-auc:0.975366
[8] eval-auc:0.682804 train-auc:0.98083
[9] eval-auc:0.685709 train-auc:0.985382
[10] eval-auc:0.691402 train-auc:0.989139
[11] eval-auc:0.690645 train-auc:0.990744
[12] eval-auc:0.686622 train-auc:0.990483
[13] eval-auc:0.689144 train-auc:0.992011
[14] eval-auc:0.687029 train-auc:0.99158
[15] eval-auc:0.686678 train-auc:0.992288
[16] eval-auc:0.684497 train-auc:0.992466
[17] eval-auc:0.690169 train-auc:0.993796
[18] eval-auc:0.689971 train-auc:0.994285
[19] eval-auc:0.692415 train-auc:0.994723
[20] eval-auc:0.692847 train-auc:0.995407
[21] eval-auc:0.69729 train-auc:0.99599
[22] eval-auc:0.698321 train-auc:0.996257
[23] eval-auc:0.699188 train-auc:0.996553
[24] eval-auc:0.700832 train-auc:0.99711
[25] eval-auc:0.700816 train-auc:0.997159
[26] eval-auc:0.701495 train-auc:0.997337
[27] eval-auc:0.703824 train-auc:0.997636
[28] eval-auc:0.703477 train-auc:0.997602
[29] eval-auc:0.702719 train-auc:0.997639
[30] eval-auc:0.701238 train-auc:0.99777
[31] eval-auc:0.700761 train-auc:0.997888
[32] eval-auc:0.700171 train-auc:0.998048
[33] eval-auc:0.702009 train-auc:0.998127
[34] eval-auc:0.701355 train-auc:0.998396
[35] eval-auc:0.70203 train-auc:0.998604
[36] eval-auc:0.704231 train-auc:0.99862
[37] eval-auc:0.703853 train-auc:0.998651
[38] eval-auc:0.703386 train-auc:0.998724
[39] eval-auc:0.703169 train-auc:0.998883
[40] eval-auc:0.704159 train-auc:0.998908
[41] eval-auc:0.702601 train-auc:0.998999
[42] eval-auc:0.701202 train-auc:0.999083
[43] eval-auc:0.701821 train-auc:0.999106
[44] eval-auc:0.70296 train-auc:0.999142
[45] eval-auc:0.703525 train-auc:0.999155
[46] eval-auc:0.703898 train-auc:0.999259
[47] eval-auc:0.704536 train-auc:0.999301
[48] eval-auc:0.704799 train-auc:0.999331
[49] eval-auc:0.704327 train-auc:0.999407
[50] eval-auc:0.703569 train-auc:0.999452
[51] eval-auc:0.702646 train-auc:0.999447
[52] eval-auc:0.702544 train-auc:0.999499
[53] eval-auc:0.702877 train-auc:0.99951
[54] eval-auc:0.702603 train-auc:0.999539
[55] eval-auc:0.702066 train-auc:0.999566
[56] eval-auc:0.701468 train-auc:0.999609
[57] eval-auc:0.701007 train-auc:0.999622
[58] eval-auc:0.701224 train-auc:0.999651
[59] eval-auc:0.701346 train-auc:0.999672
[60] eval-auc:0.701374 train-auc:0.999694
[61] eval-auc:0.700936 train-auc:0.999723
[62] eval-auc:0.701042 train-auc:0.999736
[63] eval-auc:0.701343 train-auc:0.999774
[64] eval-auc:0.701186 train-auc:0.999793
[65] eval-auc:0.701816 train-auc:0.999806
[66] eval-auc:0.70168 train-auc:0.999803
[67] eval-auc:0.701128 train-auc:0.99983
[68] eval-auc:0.700366 train-auc:0.999846
[69] eval-auc:0.700258 train-auc:0.999846
[70] eval-auc:0.699608 train-auc:0.999852
[71] eval-auc:0.699462 train-auc:0.999891
[72] eval-auc:0.699186 train-auc:0.999895
[73] eval-auc:0.699371 train-auc:0.999889
[74] eval-auc:0.699401 train-auc:0.99989
[75] eval-auc:0.698905 train-auc:0.9999
[76] eval-auc:0.698729 train-auc:0.999906
[77] eval-auc:0.698442 train-auc:0.999911
[78] eval-auc:0.697896 train-auc:0.999917
[79] eval-auc:0.697344 train-auc:0.999921
[80] eval-auc:0.697769 train-auc:0.999921
[81] eval-auc:0.697829 train-auc:0.999926
[82] eval-auc:0.697866 train-auc:0.999931
[83] eval-auc:0.698139 train-auc:0.999937
[84] eval-auc:0.698726 train-auc:0.999941
[85] eval-auc:0.698994 train-auc:0.999941
[86] eval-auc:0.699689 train-auc:0.999946
[87] eval-auc:0.699498 train-auc:0.999952
[88] eval-auc:0.699733 train-auc:0.999952
[89] eval-auc:0.699568 train-auc:0.999955
[90] eval-auc:0.69945 train-auc:0.999958
[91] eval-auc:0.699476 train-auc:0.999957
[92] eval-auc:0.698946 train-auc:0.999956
[93] eval-auc:0.699022 train-auc:0.999959
[94] eval-auc:0.698324 train-auc:0.999962
[95] eval-auc:0.698892 train-auc:0.999961
[96] eval-auc:0.698664 train-auc:0.999967
[97] eval-auc:0.698892 train-auc:0.999966
[98] eval-auc:0.69879 train-auc:0.999967
[99] eval-auc:0.69857 train-auc:0.999968
[100] eval-auc:0.698285 train-auc:0.999969
[101] eval-auc:0.698259 train-auc:0.999971
[102] eval-auc:0.698513 train-auc:0.999972
[103] eval-auc:0.698751 train-auc:0.999971
[104] eval-auc:0.698527 train-auc:0.999972
[105] eval-auc:0.698308 train-auc:0.999972
[106] eval-auc:0.699106 train-auc:0.999973
[107] eval-auc:0.699057 train-auc:0.999975
[108] eval-auc:0.698344 train-auc:0.999974
[109] eval-auc:0.698699 train-auc:0.999977
[110] eval-auc:0.699335 train-auc:0.999978
[111] eval-auc:0.698656 train-auc:0.999977
[112] eval-auc:0.698359 train-auc:0.999977
[113] eval-auc:0.698726 train-auc:0.999979
[114] eval-auc:0.698891 train-auc:0.999978
[115] eval-auc:0.699349 train-auc:0.999982
[116] eval-auc:0.69983 train-auc:0.999982
[117] eval-auc:0.700395 train-auc:0.999982
[118] eval-auc:0.700226 train-auc:0.999982
[119] eval-auc:0.700277 train-auc:0.999985
[120] eval-auc:0.700423 train-auc:0.999985
[121] eval-auc:0.699913 train-auc:0.999986
[122] eval-auc:0.700318 train-auc:0.999987
[123] eval-auc:0.700423 train-auc:0.999986
[124] eval-auc:0.700304 train-auc:0.999986
[125] eval-auc:0.7004 train-auc:0.999986
[126] eval-auc:0.700493 train-auc:0.999988
[127] eval-auc:0.700243 train-auc:0.999988
[128] eval-auc:0.700585 train-auc:0.99999
[129] eval-auc:0.700682 train-auc:0.999989
[130] eval-auc:0.700438 train-auc:0.999992
[131] eval-auc:0.700669 train-auc:0.999992
[132] eval-auc:0.699984 train-auc:0.999994
[133] eval-auc:0.699916 train-auc:0.999994
[134] eval-auc:0.70047 train-auc:0.999994
[135] eval-auc:0.700781 train-auc:0.999994
[136] eval-auc:0.700607 train-auc:0.999995
[137] eval-auc:0.700479 train-auc:0.999995
[138] eval-auc:0.700643 train-auc:0.999995
[139] eval-auc:0.700709 train-auc:0.999995
[140] eval-auc:0.700851 train-auc:0.999995
[141] eval-auc:0.700698 train-auc:0.999996
[142] eval-auc:0.70089 train-auc:0.999996
[143] eval-auc:0.700669 train-auc:0.999996
[144] eval-auc:0.700679 train-auc:0.999996
[145] eval-auc:0.700414 train-auc:0.999996
[146] eval-auc:0.700452 train-auc:0.999996
[147] eval-auc:0.700382 train-auc:0.999996
[148] eval-auc:0.700068 train-auc:0.999997
[149] eval-auc:0.699747 train-auc:0.999997
[150] eval-auc:0.699657 train-auc:0.999998
[151] eval-auc:0.699667 train-auc:0.999997
[152] eval-auc:0.700068 train-auc:0.999997
[153] eval-auc:0.699858 train-auc:0.999997
[154] eval-auc:0.69996 train-auc:0.999998
[155] eval-auc:0.699832 train-auc:0.999998
[156] eval-auc:0.699757 train-auc:0.999998
[157] eval-auc:0.699964 train-auc:0.999998
[158] eval-auc:0.699759 train-auc:0.999998
[159] eval-auc:0.699605 train-auc:0.999999
[160] eval-auc:0.699794 train-auc:0.999999
[161] eval-auc:0.69976 train-auc:0.999999
[162] eval-auc:0.699786 train-auc:0.999999
[163] eval-auc:0.699887 train-auc:0.999999
[164] eval-auc:0.700036 train-auc:0.999999
[165] eval-auc:0.699878 train-auc:1
[166] eval-auc:0.700048 train-auc:0.999999
[167] eval-auc:0.700001 train-auc:0.999999
[168] eval-auc:0.700044 train-auc:0.999999
[169] eval-auc:0.700143 train-auc:0.999999
[170] eval-auc:0.700094 train-auc:0.999999
[171] eval-auc:0.700056 train-auc:0.999999
[172] eval-auc:0.700053 train-auc:0.999999
[173] eval-auc:0.700245 train-auc:0.999999
[174] eval-auc:0.7004 train-auc:0.999999
[175] eval-auc:0.700727 train-auc:0.999999
[176] eval-auc:0.700639 train-auc:0.999999
[177] eval-auc:0.701033 train-auc:0.999999
[178] eval-auc:0.701077 train-auc:0.999999
[179] eval-auc:0.700998 train-auc:0.999999
[180] eval-auc:0.701256 train-auc:0.999999
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[182] eval-auc:0.701597 train-auc:0.999999
[183] eval-auc:0.701349 train-auc:0.999999
[184] eval-auc:0.701255 train-auc:0.999999
[185] eval-auc:0.701238 train-auc:0.999999
[186] eval-auc:0.70157 train-auc:0.999999
[187] eval-auc:0.701671 train-auc:0.999999
[188] eval-auc:0.701575 train-auc:0.999998
[189] eval-auc:0.701414 train-auc:0.999998
[190] eval-auc:0.701393 train-auc:0.999998
[191] eval-auc:0.701377 train-auc:0.999999
[192] eval-auc:0.701391 train-auc:0.999998
[193] eval-auc:0.701257 train-auc:0.999998
[194] eval-auc:0.701263 train-auc:0.999999
[195] eval-auc:0.701496 train-auc:0.999998
[196] eval-auc:0.701566 train-auc:0.999999
[197] eval-auc:0.701333 train-auc:0.999999
[198] eval-auc:0.70131 train-auc:0.999999
[199] eval-auc:0.701279 train-auc:0.999999
[200] eval-auc:0.701202 train-auc:0.999999
[201] eval-auc:0.701035 train-auc:0.999999
[202] eval-auc:0.70096 train-auc:0.999999
[203] eval-auc:0.700893 train-auc:0.999999
[204] eval-auc:0.700794 train-auc:0.999999
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[206] eval-auc:0.701003 train-auc:0.999999
[207] eval-auc:0.70088 train-auc:0.999999
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[209] eval-auc:0.701103 train-auc:0.999999
[210] eval-auc:0.701093 train-auc:0.999999
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[215] eval-auc:0.701106 train-auc:0.999999
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[220] eval-auc:0.701403 train-auc:0.999999
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[224] eval-auc:0.701452 train-auc:0.999999
[225] eval-auc:0.701359 train-auc:0.999999
[226] eval-auc:0.701285 train-auc:0.999999
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[235] eval-auc:0.700493 train-auc:0.999999
[236] eval-auc:0.700514 train-auc:0.999999
[237] eval-auc:0.700538 train-auc:0.999999
[238] eval-auc:0.700583 train-auc:0.999999
[239] eval-auc:0.700892 train-auc:0.999999
[240] eval-auc:0.700802 train-auc:0.999999
[241] eval-auc:0.70072 train-auc:0.999999
[242] eval-auc:0.700334 train-auc:0.999999
[243] eval-auc:0.700226 train-auc:0.999999
[244] eval-auc:0.700094 train-auc:0.999999
[245] eval-auc:0.700161 train-auc:0.999999
[246] eval-auc:0.70003 train-auc:1
[247] eval-auc:0.700086 train-auc:1
[248] eval-auc:0.69997 train-auc:0.999999
[249] eval-auc:0.699925 train-auc:0.999999
[250] eval-auc:0.699823 train-auc:1
[251] eval-auc:0.700056 train-auc:1
[252] eval-auc:0.700112 train-auc:1
[253] eval-auc:0.700065 train-auc:1
[254] eval-auc:0.700016 train-auc:1
[255] eval-auc:0.700091 train-auc:1
[256] eval-auc:0.70031 train-auc:1
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[258] eval-auc:0.700444 train-auc:1
[259] eval-auc:0.700313 train-auc:1
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[261] eval-auc:0.700363 train-auc:1
[262] eval-auc:0.700217 train-auc:1
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[265] eval-auc:0.700103 train-auc:1
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[269] eval-auc:0.700429 train-auc:1
[270] eval-auc:0.700685 train-auc:1
[271] eval-auc:0.700744 train-auc:1
[272] eval-auc:0.700689 train-auc:1
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[274] eval-auc:0.700857 train-auc:1
[275] eval-auc:0.700848 train-auc:1
[276] eval-auc:0.70065 train-auc:1
[277] eval-auc:0.700668 train-auc:1
[278] eval-auc:0.700665 train-auc:1
[279] eval-auc:0.700744 train-auc:1
[280] eval-auc:0.700625 train-auc:1
[281] eval-auc:0.700601 train-auc:1
[282] eval-auc:0.700857 train-auc:1
[283] eval-auc:0.700849 train-auc:1
[284] eval-auc:0.701172 train-auc:1
[285] eval-auc:0.701257 train-auc:1
[286] eval-auc:0.70132 train-auc:1
[287] eval-auc:0.701205 train-auc:1
[288] eval-auc:0.701262 train-auc:1
[289] eval-auc:0.700985 train-auc:1
[290] eval-auc:0.701117 train-auc:1
[291] eval-auc:0.701081 train-auc:1
[292] eval-auc:0.701263 train-auc:1
[293] eval-auc:0.701333 train-auc:1
[294] eval-auc:0.701266 train-auc:1
[295] eval-auc:0.701146 train-auc:1
[296] eval-auc:0.701286 train-auc:1
[297] eval-auc:0.701216 train-auc:1
[298] eval-auc:0.700977 train-auc:1
[299] eval-auc:0.701093 train-auc:1
[300] eval-auc:0.701073 train-auc:1
[301] eval-auc:0.701058 train-auc:1
[302] eval-auc:0.701117 train-auc:1
[303] eval-auc:0.701274 train-auc:1
[304] eval-auc:0.701243 train-auc:1
[305] eval-auc:0.701186 train-auc:1
[306] eval-auc:0.701001 train-auc:1
[307] eval-auc:0.701099 train-auc:1
[308] eval-auc:0.70126 train-auc:1
[309] eval-auc:0.700927 train-auc:1
[310] eval-auc:0.700928 train-auc:1
[311] eval-auc:0.700884 train-auc:1
[312] eval-auc:0.700794 train-auc:1
[313] eval-auc:0.70093 train-auc:1
[314] eval-auc:0.700723 train-auc:1
[315] eval-auc:0.70072 train-auc:1
[316] eval-auc:0.700669 train-auc:1
[317] eval-auc:0.700756 train-auc:1
[318] eval-auc:0.700822 train-auc:1
[319] eval-auc:0.700721 train-auc:1
[320] eval-auc:0.700851 train-auc:1
[321] eval-auc:0.700948 train-auc:1
[322] eval-auc:0.700852 train-auc:1
[323] eval-auc:0.700762 train-auc:1
[324] eval-auc:0.700767 train-auc:1
[325] eval-auc:0.700829 train-auc:1
[326] eval-auc:0.700701 train-auc:1
[327] eval-auc:0.7007 train-auc:1
[328] eval-auc:0.700925 train-auc:1
[329] eval-auc:0.700784 train-auc:1
[330] eval-auc:0.700669 train-auc:1
[331] eval-auc:0.700793 train-auc:1
[332] eval-auc:0.700863 train-auc:1
[333] eval-auc:0.700461 train-auc:1
[334] eval-auc:0.700558 train-auc:1
[335] eval-auc:0.70061 train-auc:1
[336] eval-auc:0.700514 train-auc:1
[337] eval-auc:0.700647 train-auc:1
[338] eval-auc:0.700779 train-auc:1
[339] eval-auc:0.700913 train-auc:1
[340] eval-auc:0.700575 train-auc:1
[341] eval-auc:0.700506 train-auc:1
[342] eval-auc:0.700525 train-auc:1
[343] eval-auc:0.700377 train-auc:1
[344] eval-auc:0.700401 train-auc:1
[345] eval-auc:0.700296 train-auc:1
[346] eval-auc:0.700296 train-auc:1
[347] eval-auc:0.700412 train-auc:1
[348] eval-auc:0.700569 train-auc:1
[349] eval-auc:0.70063 train-auc:1
[350] eval-auc:0.700578 train-auc:1
[351] eval-auc:0.70035 train-auc:1
[352] eval-auc:0.700269 train-auc:1
[353] eval-auc:0.700304 train-auc:1
[354] eval-auc:0.700315 train-auc:1
[355] eval-auc:0.700372 train-auc:1
[356] eval-auc:0.700179 train-auc:1
Score 0.7001790739319518
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9, 'eta': 0.35000000000000003, 'eval_metric': 'auc', 'gamma': 0.75, 'max_depth': 6, 'min_child_weight': 2.0, 'n_estimators': 584.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.7000000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.682077 train-auc:0.761374
[1] eval-auc:0.673031 train-auc:0.782958
[2] eval-auc:0.681886 train-auc:0.809989
[3] eval-auc:0.693174 train-auc:0.824624
[4] eval-auc:0.691563 train-auc:0.844214
[5] eval-auc:0.686358 train-auc:0.856603
[6] eval-auc:0.687675 train-auc:0.869788
[7] eval-auc:0.687703 train-auc:0.880963
[8] eval-auc:0.689623 train-auc:0.889946
[9] eval-auc:0.688691 train-auc:0.894345
[10] eval-auc:0.686543 train-auc:0.900129
[11] eval-auc:0.687105 train-auc:0.902693
[12] eval-auc:0.689662 train-auc:0.907353
[13] eval-auc:0.686557 train-auc:0.910955
[14] eval-auc:0.685396 train-auc:0.914102
[15] eval-auc:0.681989 train-auc:0.918992
[16] eval-auc:0.682242 train-auc:0.92313
[17] eval-auc:0.684866 train-auc:0.927406
[18] eval-auc:0.686276 train-auc:0.931084
[19] eval-auc:0.685435 train-auc:0.936411
[20] eval-auc:0.686607 train-auc:0.941756
[21] eval-auc:0.686455 train-auc:0.9467
[22] eval-auc:0.687447 train-auc:0.94986
[23] eval-auc:0.689489 train-auc:0.953482
[24] eval-auc:0.690775 train-auc:0.95699
[25] eval-auc:0.690628 train-auc:0.961389
[26] eval-auc:0.688637 train-auc:0.963907
[27] eval-auc:0.688332 train-auc:0.966316
[28] eval-auc:0.691764 train-auc:0.968604
[29] eval-auc:0.691559 train-auc:0.97157
[30] eval-auc:0.690773 train-auc:0.973766
[31] eval-auc:0.691714 train-auc:0.975705
[32] eval-auc:0.689759 train-auc:0.978271
[33] eval-auc:0.691251 train-auc:0.980638
[34] eval-auc:0.689826 train-auc:0.981585
[35] eval-auc:0.68911 train-auc:0.983568
[36] eval-auc:0.688325 train-auc:0.9838
[37] eval-auc:0.687999 train-auc:0.984142
[38] eval-auc:0.686465 train-auc:0.984887
[39] eval-auc:0.686372 train-auc:0.985872
[40] eval-auc:0.686477 train-auc:0.986578
[41] eval-auc:0.685795 train-auc:0.987253
[42] eval-auc:0.687371 train-auc:0.988739
[43] eval-auc:0.684233 train-auc:0.989437
[44] eval-auc:0.68368 train-auc:0.9898
[45] eval-auc:0.685721 train-auc:0.990065
[46] eval-auc:0.685092 train-auc:0.991592
[47] eval-auc:0.684571 train-auc:0.991574
[48] eval-auc:0.684225 train-auc:0.992109
[49] eval-auc:0.684391 train-auc:0.99248
[50] eval-auc:0.683217 train-auc:0.993334
[51] eval-auc:0.683091 train-auc:0.993868
[52] eval-auc:0.682549 train-auc:0.994105
[53] eval-auc:0.680524 train-auc:0.994134
[54] eval-auc:0.67922 train-auc:0.994437
[55] eval-auc:0.679487 train-auc:0.994824
[56] eval-auc:0.679229 train-auc:0.994932
[57] eval-auc:0.678675 train-auc:0.995676
[58] eval-auc:0.682284 train-auc:0.996235
[59] eval-auc:0.682078 train-auc:0.996422
[60] eval-auc:0.681388 train-auc:0.997047
[61] eval-auc:0.682305 train-auc:0.997137
[62] eval-auc:0.680734 train-auc:0.997439
[63] eval-auc:0.684571 train-auc:0.997571
[64] eval-auc:0.683226 train-auc:0.997548
[65] eval-auc:0.68467 train-auc:0.997595
[66] eval-auc:0.685031 train-auc:0.997748
[67] eval-auc:0.685841 train-auc:0.997926
[68] eval-auc:0.684962 train-auc:0.997982
[69] eval-auc:0.683957 train-auc:0.998256
[70] eval-auc:0.685049 train-auc:0.998354
[71] eval-auc:0.685206 train-auc:0.998424
[72] eval-auc:0.683554 train-auc:0.998526
[73] eval-auc:0.681596 train-auc:0.998523
[74] eval-auc:0.681583 train-auc:0.998655
[75] eval-auc:0.682106 train-auc:0.99875
[76] eval-auc:0.683382 train-auc:0.998794
[77] eval-auc:0.684439 train-auc:0.998815
[78] eval-auc:0.685893 train-auc:0.998983
[79] eval-auc:0.686633 train-auc:0.998993
[80] eval-auc:0.686283 train-auc:0.999144
[81] eval-auc:0.684676 train-auc:0.9992
[82] eval-auc:0.684638 train-auc:0.999265
[83] eval-auc:0.684097 train-auc:0.999413
[84] eval-auc:0.685153 train-auc:0.999389
[85] eval-auc:0.684735 train-auc:0.999406
[86] eval-auc:0.683904 train-auc:0.999457
[87] eval-auc:0.682661 train-auc:0.999474
[88] eval-auc:0.681093 train-auc:0.999531
[89] eval-auc:0.68023 train-auc:0.999565
[90] eval-auc:0.679458 train-auc:0.999605
[91] eval-auc:0.678846 train-auc:0.999607
[92] eval-auc:0.678529 train-auc:0.999595
[93] eval-auc:0.678518 train-auc:0.999658
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[95] eval-auc:0.676948 train-auc:0.999685
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[99] eval-auc:0.678859 train-auc:0.999855
[100] eval-auc:0.679075 train-auc:0.999852
[101] eval-auc:0.680632 train-auc:0.999888
[102] eval-auc:0.680974 train-auc:0.999906
[103] eval-auc:0.679681 train-auc:0.999912
[104] eval-auc:0.679138 train-auc:0.999925
[105] eval-auc:0.678971 train-auc:0.999927
[106] eval-auc:0.67912 train-auc:0.999933
[107] eval-auc:0.679709 train-auc:0.999939
[108] eval-auc:0.679085 train-auc:0.999944
[109] eval-auc:0.679653 train-auc:0.999935
[110] eval-auc:0.681371 train-auc:0.999949
[111] eval-auc:0.682191 train-auc:0.999969
[112] eval-auc:0.681827 train-auc:0.999971
[113] eval-auc:0.683001 train-auc:0.999981
[114] eval-auc:0.68252 train-auc:0.999987
[115] eval-auc:0.681483 train-auc:0.999989
[116] eval-auc:0.681824 train-auc:0.999984
[117] eval-auc:0.681973 train-auc:0.999987
[118] eval-auc:0.681917 train-auc:0.999989
[119] eval-auc:0.682049 train-auc:0.999992
[120] eval-auc:0.682217 train-auc:0.999992
[121] eval-auc:0.68328 train-auc:0.999998
[122] eval-auc:0.682167 train-auc:0.999998
[123] eval-auc:0.680405 train-auc:0.999998
[124] eval-auc:0.680371 train-auc:0.999998
[125] eval-auc:0.680618 train-auc:0.999998
[126] eval-auc:0.679534 train-auc:0.999996
[127] eval-auc:0.680205 train-auc:0.999996
[128] eval-auc:0.680332 train-auc:0.999997
[129] eval-auc:0.681145 train-auc:0.999998
[130] eval-auc:0.679887 train-auc:0.999998
[131] eval-auc:0.678698 train-auc:0.999997
[132] eval-auc:0.679191 train-auc:0.999998
[133] eval-auc:0.679485 train-auc:0.999998
[134] eval-auc:0.679092 train-auc:0.999998
[135] eval-auc:0.678354 train-auc:0.999998
[136] eval-auc:0.678594 train-auc:0.999999
[137] eval-auc:0.678951 train-auc:1
[138] eval-auc:0.677151 train-auc:1
[139] eval-auc:0.678364 train-auc:1
[140] eval-auc:0.679479 train-auc:1
[141] eval-auc:0.680231 train-auc:1
[142] eval-auc:0.680539 train-auc:1
[143] eval-auc:0.681095 train-auc:1
[144] eval-auc:0.681427 train-auc:1
[145] eval-auc:0.680566 train-auc:1
[146] eval-auc:0.680114 train-auc:1
[147] eval-auc:0.680144 train-auc:1
[148] eval-auc:0.679289 train-auc:1
[149] eval-auc:0.680662 train-auc:1
[150] eval-auc:0.684734 train-auc:1
[151] eval-auc:0.683525 train-auc:1
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[154] eval-auc:0.687624 train-auc:1
[155] eval-auc:0.686613 train-auc:1
[156] eval-auc:0.685931 train-auc:1
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[160] eval-auc:0.684426 train-auc:1
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[163] eval-auc:0.683294 train-auc:1
[164] eval-auc:0.682553 train-auc:1
[165] eval-auc:0.683018 train-auc:1
[166] eval-auc:0.6822 train-auc:1
[167] eval-auc:0.683114 train-auc:1
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[170] eval-auc:0.683335 train-auc:1
[171] eval-auc:0.68351 train-auc:1
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[174] eval-auc:0.682663 train-auc:1
[175] eval-auc:0.682453 train-auc:1
[176] eval-auc:0.682302 train-auc:1
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[186] eval-auc:0.682057 train-auc:1
[187] eval-auc:0.682468 train-auc:1
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[205] eval-auc:0.682302 train-auc:1
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[357] eval-auc:0.682444 train-auc:1
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[360] eval-auc:0.682834 train-auc:1
[361] eval-auc:0.682786 train-auc:1
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[364] eval-auc:0.682293 train-auc:1
[365] eval-auc:0.682386 train-auc:1
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[367] eval-auc:0.681894 train-auc:1
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[370] eval-auc:0.681874 train-auc:1
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[374] eval-auc:0.681509 train-auc:1
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[382] eval-auc:0.681637 train-auc:1
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[395] eval-auc:0.682109 train-auc:1
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[400] eval-auc:0.681853 train-auc:1
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[424] eval-auc:0.681637 train-auc:1
[425] eval-auc:0.681637 train-auc:1
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[427] eval-auc:0.681637 train-auc:1
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[450] eval-auc:0.682776 train-auc:1
[451] eval-auc:0.6825 train-auc:1
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[453] eval-auc:0.6825 train-auc:1
[454] eval-auc:0.6825 train-auc:1
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[458] eval-auc:0.682183 train-auc:1
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[460] eval-auc:0.682183 train-auc:1
[461] eval-auc:0.682645 train-auc:1
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[467] eval-auc:0.683348 train-auc:1
[468] eval-auc:0.683348 train-auc:1
[469] eval-auc:0.682748 train-auc:1
[470] eval-auc:0.682878 train-auc:1
[471] eval-auc:0.682575 train-auc:1
[472] eval-auc:0.682575 train-auc:1
[473] eval-auc:0.682292 train-auc:1
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[475] eval-auc:0.682348 train-auc:1
[476] eval-auc:0.682348 train-auc:1
[477] eval-auc:0.682237 train-auc:1
[478] eval-auc:0.681818 train-auc:1
[479] eval-auc:0.681818 train-auc:1
[480] eval-auc:0.68185 train-auc:1
[481] eval-auc:0.68185 train-auc:1
[482] eval-auc:0.681769 train-auc:1
[483] eval-auc:0.681702 train-auc:1
[484] eval-auc:0.681579 train-auc:1
[485] eval-auc:0.681579 train-auc:1
[486] eval-auc:0.681579 train-auc:1
[487] eval-auc:0.681883 train-auc:1
[488] eval-auc:0.681775 train-auc:1
[489] eval-auc:0.681888 train-auc:1
[490] eval-auc:0.681888 train-auc:1
[491] eval-auc:0.681888 train-auc:1
[492] eval-auc:0.682826 train-auc:1
[493] eval-auc:0.682826 train-auc:1
[494] eval-auc:0.683041 train-auc:1
[495] eval-auc:0.683041 train-auc:1
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[497] eval-auc:0.683304 train-auc:1
[498] eval-auc:0.683589 train-auc:1
[499] eval-auc:0.68345 train-auc:1
[500] eval-auc:0.68345 train-auc:1
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[504] eval-auc:0.683539 train-auc:1
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[508] eval-auc:0.683405 train-auc:1
[509] eval-auc:0.683003 train-auc:1
[510] eval-auc:0.683248 train-auc:1
[511] eval-auc:0.683345 train-auc:1
[512] eval-auc:0.683517 train-auc:1
[513] eval-auc:0.683851 train-auc:1
[514] eval-auc:0.683851 train-auc:1
[515] eval-auc:0.683851 train-auc:1
[516] eval-auc:0.683872 train-auc:1
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[518] eval-auc:0.683877 train-auc:1
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[520] eval-auc:0.683877 train-auc:1
[521] eval-auc:0.684056 train-auc:1
[522] eval-auc:0.684056 train-auc:1
[523] eval-auc:0.683973 train-auc:1
[524] eval-auc:0.683973 train-auc:1
[525] eval-auc:0.683973 train-auc:1
[526] eval-auc:0.683973 train-auc:1
[527] eval-auc:0.683973 train-auc:1
[528] eval-auc:0.683973 train-auc:1
[529] eval-auc:0.683973 train-auc:1
[530] eval-auc:0.683973 train-auc:1
[531] eval-auc:0.683973 train-auc:1
[532] eval-auc:0.683973 train-auc:1
[533] eval-auc:0.683973 train-auc:1
[534] eval-auc:0.683973 train-auc:1
[535] eval-auc:0.684168 train-auc:1
[536] eval-auc:0.68464 train-auc:1
[537] eval-auc:0.684668 train-auc:1
[538] eval-auc:0.684668 train-auc:1
[539] eval-auc:0.684668 train-auc:1
[540] eval-auc:0.68442 train-auc:1
[541] eval-auc:0.684303 train-auc:1
[542] eval-auc:0.684303 train-auc:1
[543] eval-auc:0.684303 train-auc:1
[544] eval-auc:0.684303 train-auc:1
[545] eval-auc:0.684079 train-auc:1
[546] eval-auc:0.684079 train-auc:1
[547] eval-auc:0.684079 train-auc:1
[548] eval-auc:0.683989 train-auc:1
[549] eval-auc:0.683989 train-auc:1
[550] eval-auc:0.683944 train-auc:1
[551] eval-auc:0.683944 train-auc:1
[552] eval-auc:0.684101 train-auc:1
[553] eval-auc:0.684101 train-auc:1
[554] eval-auc:0.684101 train-auc:1
[555] eval-auc:0.684101 train-auc:1
[556] eval-auc:0.684101 train-auc:1
[557] eval-auc:0.683231 train-auc:1
[558] eval-auc:0.682914 train-auc:1
[559] eval-auc:0.682914 train-auc:1
[560] eval-auc:0.683035 train-auc:1
[561] eval-auc:0.683035 train-auc:1
[562] eval-auc:0.683035 train-auc:1
[563] eval-auc:0.683035 train-auc:1
[564] eval-auc:0.683035 train-auc:1
[565] eval-auc:0.683035 train-auc:1
[566] eval-auc:0.683035 train-auc:1
[567] eval-auc:0.683035 train-auc:1
[568] eval-auc:0.68291 train-auc:1
[569] eval-auc:0.682771 train-auc:1
[570] eval-auc:0.682771 train-auc:1
[571] eval-auc:0.682771 train-auc:1
[572] eval-auc:0.682771 train-auc:1
[573] eval-auc:0.682771 train-auc:1
[574] eval-auc:0.682503 train-auc:1
[575] eval-auc:0.682503 train-auc:1
[576] eval-auc:0.682891 train-auc:1
[577] eval-auc:0.682891 train-auc:1
[578] eval-auc:0.682891 train-auc:1
[579] eval-auc:0.682891 train-auc:1
[580] eval-auc:0.682891 train-auc:1
[581] eval-auc:0.682891 train-auc:1
[582] eval-auc:0.682987 train-auc:1
[583] eval-auc:0.68241 train-auc:1
Score 0.6824102498507716
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8500000000000001, 'eta': 0.07500000000000001, 'eval_metric': 'auc', 'gamma': 0.6000000000000001, 'max_depth': 1, 'min_child_weight': 4.0, 'n_estimators': 386.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.637627 train-auc:0.641495
[1] eval-auc:0.6691 train-auc:0.677286
[2] eval-auc:0.6691 train-auc:0.677286
[3] eval-auc:0.704578 train-auc:0.70064
[4] eval-auc:0.704578 train-auc:0.70064
[5] eval-auc:0.704578 train-auc:0.70064
[6] eval-auc:0.704578 train-auc:0.70064
[7] eval-auc:0.704578 train-auc:0.70064
[8] eval-auc:0.704578 train-auc:0.70064
[9] eval-auc:0.704578 train-auc:0.70064
[10] eval-auc:0.704578 train-auc:0.70064
[11] eval-auc:0.704578 train-auc:0.70064
[12] eval-auc:0.697034 train-auc:0.698654
[13] eval-auc:0.697034 train-auc:0.698654
[14] eval-auc:0.704578 train-auc:0.70064
[15] eval-auc:0.697034 train-auc:0.698654
[16] eval-auc:0.697144 train-auc:0.698895
[17] eval-auc:0.70419 train-auc:0.700915
[18] eval-auc:0.697144 train-auc:0.698895
[19] eval-auc:0.697144 train-auc:0.698895
[20] eval-auc:0.705646 train-auc:0.70112
[21] eval-auc:0.698684 train-auc:0.699204
[22] eval-auc:0.698684 train-auc:0.699204
[23] eval-auc:0.705646 train-auc:0.70112
[24] eval-auc:0.698684 train-auc:0.699204
[25] eval-auc:0.706719 train-auc:0.701365
[26] eval-auc:0.706629 train-auc:0.701344
[27] eval-auc:0.699835 train-auc:0.699586
[28] eval-auc:0.699835 train-auc:0.699586
[29] eval-auc:0.706629 train-auc:0.701344
[30] eval-auc:0.706629 train-auc:0.701344
[31] eval-auc:0.706721 train-auc:0.701368
[32] eval-auc:0.706629 train-auc:0.701344
[33] eval-auc:0.706629 train-auc:0.701344
[34] eval-auc:0.699835 train-auc:0.699586
[35] eval-auc:0.706719 train-auc:0.701365
[36] eval-auc:0.699923 train-auc:0.699606
[37] eval-auc:0.699923 train-auc:0.699606
[38] eval-auc:0.706719 train-auc:0.701365
[39] eval-auc:0.701132 train-auc:0.699246
[40] eval-auc:0.699923 train-auc:0.699606
[41] eval-auc:0.707925 train-auc:0.701002
[42] eval-auc:0.707928 train-auc:0.701005
[43] eval-auc:0.701132 train-auc:0.699246
[44] eval-auc:0.707925 train-auc:0.701002
[45] eval-auc:0.707925 train-auc:0.701002
[46] eval-auc:0.707925 train-auc:0.701002
[47] eval-auc:0.707925 train-auc:0.701002
[48] eval-auc:0.707925 train-auc:0.701002
[49] eval-auc:0.707925 train-auc:0.701002
[50] eval-auc:0.707925 train-auc:0.701002
[51] eval-auc:0.708637 train-auc:0.701637
[52] eval-auc:0.70683 train-auc:0.70161
[53] eval-auc:0.70683 train-auc:0.70161
[54] eval-auc:0.705048 train-auc:0.699361
[55] eval-auc:0.706713 train-auc:0.702284
[56] eval-auc:0.708146 train-auc:0.704181
[57] eval-auc:0.706501 train-auc:0.70444
[58] eval-auc:0.706849 train-auc:0.704697
[59] eval-auc:0.707747 train-auc:0.703898
[60] eval-auc:0.70542 train-auc:0.704039
[61] eval-auc:0.706212 train-auc:0.703907
[62] eval-auc:0.705117 train-auc:0.704349
[63] eval-auc:0.70595 train-auc:0.704475
[64] eval-auc:0.7066 train-auc:0.704439
[65] eval-auc:0.7066 train-auc:0.704441
[66] eval-auc:0.706611 train-auc:0.704442
[67] eval-auc:0.706234 train-auc:0.705579
[68] eval-auc:0.705956 train-auc:0.705145
[69] eval-auc:0.705503 train-auc:0.705416
[70] eval-auc:0.705567 train-auc:0.705447
[71] eval-auc:0.705646 train-auc:0.705571
[72] eval-auc:0.70582 train-auc:0.705615
[73] eval-auc:0.705402 train-auc:0.70556
[74] eval-auc:0.70569 train-auc:0.705667
[75] eval-auc:0.70565 train-auc:0.705563
[76] eval-auc:0.704947 train-auc:0.705609
[77] eval-auc:0.703272 train-auc:0.708449
[78] eval-auc:0.703668 train-auc:0.709006
[79] eval-auc:0.703808 train-auc:0.70904
[80] eval-auc:0.704083 train-auc:0.709107
[81] eval-auc:0.704156 train-auc:0.708997
[82] eval-auc:0.704447 train-auc:0.709127
[83] eval-auc:0.704691 train-auc:0.709148
[84] eval-auc:0.704149 train-auc:0.709087
[85] eval-auc:0.704307 train-auc:0.708772
[86] eval-auc:0.704379 train-auc:0.709121
[87] eval-auc:0.704435 train-auc:0.709125
[88] eval-auc:0.704434 train-auc:0.70891
[89] eval-auc:0.703305 train-auc:0.708532
[90] eval-auc:0.703742 train-auc:0.70893
[91] eval-auc:0.705011 train-auc:0.710152
[92] eval-auc:0.705177 train-auc:0.710215
[93] eval-auc:0.705292 train-auc:0.710476
[94] eval-auc:0.705582 train-auc:0.710398
[95] eval-auc:0.70572 train-auc:0.710587
[96] eval-auc:0.705665 train-auc:0.710655
[97] eval-auc:0.70578 train-auc:0.710632
[98] eval-auc:0.705156 train-auc:0.71052
[99] eval-auc:0.705123 train-auc:0.710611
[100] eval-auc:0.705036 train-auc:0.710516
[101] eval-auc:0.705514 train-auc:0.71059
[102] eval-auc:0.705624 train-auc:0.710774
[103] eval-auc:0.705663 train-auc:0.710854
[104] eval-auc:0.705828 train-auc:0.710862
[105] eval-auc:0.705905 train-auc:0.711044
[106] eval-auc:0.706 train-auc:0.711176
[107] eval-auc:0.705643 train-auc:0.710982
[108] eval-auc:0.705761 train-auc:0.711071
[109] eval-auc:0.705826 train-auc:0.711139
[110] eval-auc:0.705765 train-auc:0.711396
[111] eval-auc:0.706224 train-auc:0.711424
[112] eval-auc:0.706355 train-auc:0.711523
[113] eval-auc:0.705959 train-auc:0.711407
[114] eval-auc:0.706242 train-auc:0.711739
[115] eval-auc:0.70608 train-auc:0.711788
[116] eval-auc:0.706225 train-auc:0.711843
[117] eval-auc:0.706256 train-auc:0.711876
[118] eval-auc:0.705815 train-auc:0.711802
[119] eval-auc:0.705827 train-auc:0.711904
[120] eval-auc:0.705777 train-auc:0.711928
[121] eval-auc:0.705851 train-auc:0.712164
[122] eval-auc:0.705961 train-auc:0.712244
[123] eval-auc:0.706145 train-auc:0.712251
[124] eval-auc:0.705603 train-auc:0.712175
[125] eval-auc:0.70592 train-auc:0.712067
[126] eval-auc:0.706058 train-auc:0.712155
[127] eval-auc:0.7062 train-auc:0.712317
[128] eval-auc:0.70602 train-auc:0.712517
[129] eval-auc:0.706174 train-auc:0.712499
[130] eval-auc:0.706106 train-auc:0.71254
[131] eval-auc:0.706185 train-auc:0.712599
[132] eval-auc:0.706273 train-auc:0.712735
[133] eval-auc:0.706017 train-auc:0.712723
[134] eval-auc:0.706004 train-auc:0.712528
[135] eval-auc:0.705863 train-auc:0.712464
[136] eval-auc:0.705809 train-auc:0.712598
[137] eval-auc:0.705908 train-auc:0.712676
[138] eval-auc:0.705806 train-auc:0.712728
[139] eval-auc:0.705964 train-auc:0.71291
[140] eval-auc:0.706247 train-auc:0.713046
[141] eval-auc:0.706249 train-auc:0.713072
[142] eval-auc:0.706136 train-auc:0.713079
[143] eval-auc:0.706127 train-auc:0.713039
[144] eval-auc:0.705842 train-auc:0.713149
[145] eval-auc:0.706037 train-auc:0.713725
[146] eval-auc:0.706013 train-auc:0.713606
[147] eval-auc:0.705777 train-auc:0.713397
[148] eval-auc:0.705809 train-auc:0.713441
[149] eval-auc:0.706035 train-auc:0.713573
[150] eval-auc:0.706078 train-auc:0.713634
[151] eval-auc:0.706026 train-auc:0.713529
[152] eval-auc:0.705758 train-auc:0.713786
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[186] eval-auc:0.70573 train-auc:0.715367
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[191] eval-auc:0.705857 train-auc:0.715824
[192] eval-auc:0.705629 train-auc:0.715836
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[195] eval-auc:0.70562 train-auc:0.715996
[196] eval-auc:0.705576 train-auc:0.71597
[197] eval-auc:0.705751 train-auc:0.716039
[198] eval-auc:0.705772 train-auc:0.716008
[199] eval-auc:0.705812 train-auc:0.716053
[200] eval-auc:0.705868 train-auc:0.716111
[201] eval-auc:0.705877 train-auc:0.715977
[202] eval-auc:0.705681 train-auc:0.71608
[203] eval-auc:0.705311 train-auc:0.716193
[204] eval-auc:0.704986 train-auc:0.716266
[205] eval-auc:0.704919 train-auc:0.716359
[206] eval-auc:0.704825 train-auc:0.716308
[207] eval-auc:0.704744 train-auc:0.716405
[208] eval-auc:0.704701 train-auc:0.716526
[209] eval-auc:0.704771 train-auc:0.716577
[210] eval-auc:0.704766 train-auc:0.716693
[211] eval-auc:0.704667 train-auc:0.716636
[212] eval-auc:0.704838 train-auc:0.716731
[213] eval-auc:0.704788 train-auc:0.716872
[214] eval-auc:0.704751 train-auc:0.716869
[215] eval-auc:0.704748 train-auc:0.717048
[216] eval-auc:0.704829 train-auc:0.717009
[217] eval-auc:0.70485 train-auc:0.717025
[218] eval-auc:0.70478 train-auc:0.717012
[219] eval-auc:0.704759 train-auc:0.717027
[220] eval-auc:0.704861 train-auc:0.717083
[221] eval-auc:0.70489 train-auc:0.717088
[222] eval-auc:0.704948 train-auc:0.717004
[223] eval-auc:0.704932 train-auc:0.71711
[224] eval-auc:0.704707 train-auc:0.717174
[225] eval-auc:0.704715 train-auc:0.717272
[226] eval-auc:0.704876 train-auc:0.717414
[227] eval-auc:0.704506 train-auc:0.71748
[228] eval-auc:0.704439 train-auc:0.717501
[229] eval-auc:0.70438 train-auc:0.717527
[230] eval-auc:0.704301 train-auc:0.717586
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[232] eval-auc:0.704222 train-auc:0.717665
[233] eval-auc:0.703962 train-auc:0.717723
[234] eval-auc:0.704018 train-auc:0.717759
[235] eval-auc:0.704132 train-auc:0.717784
[236] eval-auc:0.704125 train-auc:0.717766
[237] eval-auc:0.704166 train-auc:0.717905
[238] eval-auc:0.704269 train-auc:0.71794
[239] eval-auc:0.704287 train-auc:0.717896
[240] eval-auc:0.704306 train-auc:0.717848
[241] eval-auc:0.704412 train-auc:0.717965
[242] eval-auc:0.704458 train-auc:0.717995
[243] eval-auc:0.704469 train-auc:0.718001
[244] eval-auc:0.70422 train-auc:0.718073
[245] eval-auc:0.704201 train-auc:0.718104
[246] eval-auc:0.704163 train-auc:0.718094
[247] eval-auc:0.7041 train-auc:0.71817
[248] eval-auc:0.704096 train-auc:0.718146
[249] eval-auc:0.704158 train-auc:0.718318
[250] eval-auc:0.704112 train-auc:0.718319
[251] eval-auc:0.704068 train-auc:0.718358
[252] eval-auc:0.703927 train-auc:0.718351
[253] eval-auc:0.704061 train-auc:0.718341
[254] eval-auc:0.704106 train-auc:0.718359
[255] eval-auc:0.704047 train-auc:0.7183
[256] eval-auc:0.704132 train-auc:0.718333
[257] eval-auc:0.703919 train-auc:0.718424
[258] eval-auc:0.703599 train-auc:0.718466
[259] eval-auc:0.703662 train-auc:0.718491
[260] eval-auc:0.70378 train-auc:0.718603
[261] eval-auc:0.703823 train-auc:0.718617
[262] eval-auc:0.703818 train-auc:0.71871
[263] eval-auc:0.703892 train-auc:0.718702
[264] eval-auc:0.703861 train-auc:0.718721
[265] eval-auc:0.703695 train-auc:0.718787
[266] eval-auc:0.703788 train-auc:0.71881
[267] eval-auc:0.703592 train-auc:0.718881
[268] eval-auc:0.703726 train-auc:0.718933
[269] eval-auc:0.703707 train-auc:0.718941
[270] eval-auc:0.703748 train-auc:0.718949
[271] eval-auc:0.703694 train-auc:0.718895
[272] eval-auc:0.703698 train-auc:0.718882
[273] eval-auc:0.703719 train-auc:0.718998
[274] eval-auc:0.703671 train-auc:0.718981
[275] eval-auc:0.703692 train-auc:0.71903
[276] eval-auc:0.703712 train-auc:0.719028
[277] eval-auc:0.703722 train-auc:0.719155
[278] eval-auc:0.703773 train-auc:0.719142
[279] eval-auc:0.703499 train-auc:0.719215
[280] eval-auc:0.703564 train-auc:0.719248
[281] eval-auc:0.703595 train-auc:0.719223
[282] eval-auc:0.703616 train-auc:0.719319
[283] eval-auc:0.703546 train-auc:0.719302
[284] eval-auc:0.703627 train-auc:0.719242
[285] eval-auc:0.70364 train-auc:0.719338
[286] eval-auc:0.703666 train-auc:0.719376
[287] eval-auc:0.703489 train-auc:0.719427
[288] eval-auc:0.703482 train-auc:0.719388
[289] eval-auc:0.703479 train-auc:0.71939
[290] eval-auc:0.703237 train-auc:0.719429
[291] eval-auc:0.70325 train-auc:0.719426
[292] eval-auc:0.703264 train-auc:0.719503
[293] eval-auc:0.703281 train-auc:0.71955
[294] eval-auc:0.70333 train-auc:0.719586
[295] eval-auc:0.703342 train-auc:0.71958
[296] eval-auc:0.703264 train-auc:0.719584
[297] eval-auc:0.703345 train-auc:0.719657
[298] eval-auc:0.70331 train-auc:0.719643
[299] eval-auc:0.703316 train-auc:0.719683
[300] eval-auc:0.7033 train-auc:0.719704
[301] eval-auc:0.703215 train-auc:0.719756
[302] eval-auc:0.703201 train-auc:0.719772
[303] eval-auc:0.703143 train-auc:0.719822
[304] eval-auc:0.703171 train-auc:0.719864
[305] eval-auc:0.703116 train-auc:0.719848
[306] eval-auc:0.703129 train-auc:0.719952
[307] eval-auc:0.702992 train-auc:0.719984
[308] eval-auc:0.703027 train-auc:0.719982
[309] eval-auc:0.7029 train-auc:0.720047
[310] eval-auc:0.702896 train-auc:0.720071
[311] eval-auc:0.702908 train-auc:0.720006
[312] eval-auc:0.702885 train-auc:0.72003
[313] eval-auc:0.702923 train-auc:0.720072
[314] eval-auc:0.702943 train-auc:0.720083
[315] eval-auc:0.703004 train-auc:0.720159
[316] eval-auc:0.702985 train-auc:0.720146
[317] eval-auc:0.702995 train-auc:0.720159
[318] eval-auc:0.702966 train-auc:0.720203
[319] eval-auc:0.702823 train-auc:0.720248
[320] eval-auc:0.702743 train-auc:0.720292
[321] eval-auc:0.702755 train-auc:0.720337
[322] eval-auc:0.702744 train-auc:0.720344
[323] eval-auc:0.702802 train-auc:0.720448
[324] eval-auc:0.702797 train-auc:0.720483
[325] eval-auc:0.702826 train-auc:0.72051
[326] eval-auc:0.703013 train-auc:0.720545
[327] eval-auc:0.70303 train-auc:0.720535
[328] eval-auc:0.703069 train-auc:0.720551
[329] eval-auc:0.703155 train-auc:0.720569
[330] eval-auc:0.703119 train-auc:0.720583
[331] eval-auc:0.703148 train-auc:0.720625
[332] eval-auc:0.703155 train-auc:0.720605
[333] eval-auc:0.703205 train-auc:0.720606
[334] eval-auc:0.703156 train-auc:0.720675
[335] eval-auc:0.703203 train-auc:0.720677
[336] eval-auc:0.703189 train-auc:0.720629
[337] eval-auc:0.703051 train-auc:0.720654
[338] eval-auc:0.703075 train-auc:0.720677
[339] eval-auc:0.703059 train-auc:0.720721
[340] eval-auc:0.702987 train-auc:0.720763
[341] eval-auc:0.70317 train-auc:0.720779
[342] eval-auc:0.703167 train-auc:0.720784
[343] eval-auc:0.703175 train-auc:0.720776
[344] eval-auc:0.703129 train-auc:0.720782
[345] eval-auc:0.703204 train-auc:0.720831
[346] eval-auc:0.703145 train-auc:0.720858
[347] eval-auc:0.70319 train-auc:0.720887
[348] eval-auc:0.703139 train-auc:0.720899
[349] eval-auc:0.703144 train-auc:0.72094
[350] eval-auc:0.703337 train-auc:0.720963
[351] eval-auc:0.703176 train-auc:0.720994
[352] eval-auc:0.70334 train-auc:0.720994
[353] eval-auc:0.703334 train-auc:0.721028
[354] eval-auc:0.703383 train-auc:0.721046
[355] eval-auc:0.703327 train-auc:0.72108
[356] eval-auc:0.703371 train-auc:0.721146
[357] eval-auc:0.703384 train-auc:0.721133
[358] eval-auc:0.703359 train-auc:0.721131
[359] eval-auc:0.703363 train-auc:0.721167
[360] eval-auc:0.703529 train-auc:0.721201
[361] eval-auc:0.703334 train-auc:0.72123
[362] eval-auc:0.703191 train-auc:0.721243
[363] eval-auc:0.703221 train-auc:0.721294
[364] eval-auc:0.703153 train-auc:0.721334
[365] eval-auc:0.703132 train-auc:0.721365
[366] eval-auc:0.703232 train-auc:0.721387
[367] eval-auc:0.703167 train-auc:0.721396
[368] eval-auc:0.703159 train-auc:0.721383
[369] eval-auc:0.703171 train-auc:0.721444
[370] eval-auc:0.703119 train-auc:0.721451
[371] eval-auc:0.70317 train-auc:0.721488
[372] eval-auc:0.703116 train-auc:0.721514
[373] eval-auc:0.703065 train-auc:0.721518
[374] eval-auc:0.703093 train-auc:0.721492
[375] eval-auc:0.703075 train-auc:0.721475
[376] eval-auc:0.703184 train-auc:0.721533
[377] eval-auc:0.703215 train-auc:0.7216
[378] eval-auc:0.703236 train-auc:0.721613
[379] eval-auc:0.703426 train-auc:0.721637
[380] eval-auc:0.703431 train-auc:0.721669
[381] eval-auc:0.703483 train-auc:0.721688
[382] eval-auc:0.703376 train-auc:0.721708
[383] eval-auc:0.703446 train-auc:0.721716
[384] eval-auc:0.703368 train-auc:0.721742
[385] eval-auc:0.703376 train-auc:0.721769
Score 0.7033760613480491
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.7000000000000001, 'eta': 0.2, 'eval_metric': 'auc', 'gamma': 0.7000000000000001, 'max_depth': 3, 'min_child_weight': 3.0, 'n_estimators': 254.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.8500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.651958 train-auc:0.692866
[1] eval-auc:0.653423 train-auc:0.711743
[2] eval-auc:0.67413 train-auc:0.721707
[3] eval-auc:0.670749 train-auc:0.730254
[4] eval-auc:0.679713 train-auc:0.739973
[5] eval-auc:0.678848 train-auc:0.737926
[6] eval-auc:0.681037 train-auc:0.742366
[7] eval-auc:0.684346 train-auc:0.74467
[8] eval-auc:0.691695 train-auc:0.747659
[9] eval-auc:0.694161 train-auc:0.746977
[10] eval-auc:0.69318 train-auc:0.751679
[11] eval-auc:0.6948 train-auc:0.753577
[12] eval-auc:0.693375 train-auc:0.755853
[13] eval-auc:0.69565 train-auc:0.756203
[14] eval-auc:0.695616 train-auc:0.758075
[15] eval-auc:0.694904 train-auc:0.761135
[16] eval-auc:0.698037 train-auc:0.7666
[17] eval-auc:0.699607 train-auc:0.774267
[18] eval-auc:0.70147 train-auc:0.775894
[19] eval-auc:0.701751 train-auc:0.780174
[20] eval-auc:0.702144 train-auc:0.781305
[21] eval-auc:0.70193 train-auc:0.781768
[22] eval-auc:0.700587 train-auc:0.782683
[23] eval-auc:0.700551 train-auc:0.783944
[24] eval-auc:0.700274 train-auc:0.785432
[25] eval-auc:0.700626 train-auc:0.787011
[26] eval-auc:0.699281 train-auc:0.790908
[27] eval-auc:0.699907 train-auc:0.793553
[28] eval-auc:0.70072 train-auc:0.795114
[29] eval-auc:0.701247 train-auc:0.798092
[30] eval-auc:0.700973 train-auc:0.799597
[31] eval-auc:0.702341 train-auc:0.803967
[32] eval-auc:0.702823 train-auc:0.805623
[33] eval-auc:0.70311 train-auc:0.805565
[34] eval-auc:0.702411 train-auc:0.80819
[35] eval-auc:0.70218 train-auc:0.810512
[36] eval-auc:0.701649 train-auc:0.811947
[37] eval-auc:0.70127 train-auc:0.813838
[38] eval-auc:0.699859 train-auc:0.815788
[39] eval-auc:0.698455 train-auc:0.818471
[40] eval-auc:0.69847 train-auc:0.819917
[41] eval-auc:0.697239 train-auc:0.820842
[42] eval-auc:0.698024 train-auc:0.822338
[43] eval-auc:0.700474 train-auc:0.825107
[44] eval-auc:0.701397 train-auc:0.826028
[45] eval-auc:0.70176 train-auc:0.82772
[46] eval-auc:0.70267 train-auc:0.832766
[47] eval-auc:0.701775 train-auc:0.833949
[48] eval-auc:0.702364 train-auc:0.835637
[49] eval-auc:0.702136 train-auc:0.837334
[50] eval-auc:0.700953 train-auc:0.837542
[51] eval-auc:0.701384 train-auc:0.838642
[52] eval-auc:0.701749 train-auc:0.840054
[53] eval-auc:0.701429 train-auc:0.841253
[54] eval-auc:0.702248 train-auc:0.84361
[55] eval-auc:0.701275 train-auc:0.84541
[56] eval-auc:0.70181 train-auc:0.848055
[57] eval-auc:0.700426 train-auc:0.848768
[58] eval-auc:0.701143 train-auc:0.848431
[59] eval-auc:0.702241 train-auc:0.850368
[60] eval-auc:0.702996 train-auc:0.851599
[61] eval-auc:0.704266 train-auc:0.853575
[62] eval-auc:0.704495 train-auc:0.853748
[63] eval-auc:0.703537 train-auc:0.856684
[64] eval-auc:0.703768 train-auc:0.858224
[65] eval-auc:0.703657 train-auc:0.858306
[66] eval-auc:0.7047 train-auc:0.859114
[67] eval-auc:0.704996 train-auc:0.859161
[68] eval-auc:0.705338 train-auc:0.861356
[69] eval-auc:0.70602 train-auc:0.861771
[70] eval-auc:0.706395 train-auc:0.863458
[71] eval-auc:0.706364 train-auc:0.864219
[72] eval-auc:0.707168 train-auc:0.866033
[73] eval-auc:0.705927 train-auc:0.86788
[74] eval-auc:0.705768 train-auc:0.868855
[75] eval-auc:0.706157 train-auc:0.869841
[76] eval-auc:0.706416 train-auc:0.871125
[77] eval-auc:0.704673 train-auc:0.871975
[78] eval-auc:0.70439 train-auc:0.873848
[79] eval-auc:0.705103 train-auc:0.874974
[80] eval-auc:0.706032 train-auc:0.878482
[81] eval-auc:0.705257 train-auc:0.879341
[82] eval-auc:0.704709 train-auc:0.879653
[83] eval-auc:0.704437 train-auc:0.879652
[84] eval-auc:0.705075 train-auc:0.880652
[85] eval-auc:0.704992 train-auc:0.881228
[86] eval-auc:0.70384 train-auc:0.881418
[87] eval-auc:0.704976 train-auc:0.882301
[88] eval-auc:0.704009 train-auc:0.883724
[89] eval-auc:0.704233 train-auc:0.884607
[90] eval-auc:0.704143 train-auc:0.885287
[91] eval-auc:0.704067 train-auc:0.886359
[92] eval-auc:0.704743 train-auc:0.887227
[93] eval-auc:0.70438 train-auc:0.887656
[94] eval-auc:0.704111 train-auc:0.8886
[95] eval-auc:0.705649 train-auc:0.888709
[96] eval-auc:0.705723 train-auc:0.888964
[97] eval-auc:0.705422 train-auc:0.889401
[98] eval-auc:0.705687 train-auc:0.891024
[99] eval-auc:0.706232 train-auc:0.891691
[100] eval-auc:0.70567 train-auc:0.891723
[101] eval-auc:0.704957 train-auc:0.892283
[102] eval-auc:0.704339 train-auc:0.893784
[103] eval-auc:0.704287 train-auc:0.89417
[104] eval-auc:0.703853 train-auc:0.894644
[105] eval-auc:0.703196 train-auc:0.895132
[106] eval-auc:0.701574 train-auc:0.895859
[107] eval-auc:0.701722 train-auc:0.896672
[108] eval-auc:0.702436 train-auc:0.897862
[109] eval-auc:0.701653 train-auc:0.898449
[110] eval-auc:0.701968 train-auc:0.898396
[111] eval-auc:0.703782 train-auc:0.899838
[112] eval-auc:0.703774 train-auc:0.90084
[113] eval-auc:0.703468 train-auc:0.901749
[114] eval-auc:0.70363 train-auc:0.903328
[115] eval-auc:0.703244 train-auc:0.904133
[116] eval-auc:0.703549 train-auc:0.904868
[117] eval-auc:0.703295 train-auc:0.905516
[118] eval-auc:0.702546 train-auc:0.906163
[119] eval-auc:0.702721 train-auc:0.907892
[120] eval-auc:0.702588 train-auc:0.908015
[121] eval-auc:0.703882 train-auc:0.908685
[122] eval-auc:0.70473 train-auc:0.909409
[123] eval-auc:0.704164 train-auc:0.910624
[124] eval-auc:0.70504 train-auc:0.911705
[125] eval-auc:0.705798 train-auc:0.913316
[126] eval-auc:0.704753 train-auc:0.914644
[127] eval-auc:0.705655 train-auc:0.915159
[128] eval-auc:0.706118 train-auc:0.915838
[129] eval-auc:0.705774 train-auc:0.916133
[130] eval-auc:0.703852 train-auc:0.916875
[131] eval-auc:0.703888 train-auc:0.917159
[132] eval-auc:0.703325 train-auc:0.917606
[133] eval-auc:0.702847 train-auc:0.918715
[134] eval-auc:0.703412 train-auc:0.918867
[135] eval-auc:0.70431 train-auc:0.919688
[136] eval-auc:0.704475 train-auc:0.920402
[137] eval-auc:0.704621 train-auc:0.921357
[138] eval-auc:0.70461 train-auc:0.92195
[139] eval-auc:0.70513 train-auc:0.922488
[140] eval-auc:0.704513 train-auc:0.922995
[141] eval-auc:0.703625 train-auc:0.92318
[142] eval-auc:0.703021 train-auc:0.923644
[143] eval-auc:0.702786 train-auc:0.923996
[144] eval-auc:0.703156 train-auc:0.92414
[145] eval-auc:0.70313 train-auc:0.924512
[146] eval-auc:0.702865 train-auc:0.925258
[147] eval-auc:0.702687 train-auc:0.925691
[148] eval-auc:0.703173 train-auc:0.926175
[149] eval-auc:0.702494 train-auc:0.926783
[150] eval-auc:0.702191 train-auc:0.926764
[151] eval-auc:0.702236 train-auc:0.927446
[152] eval-auc:0.702862 train-auc:0.927769
[153] eval-auc:0.703349 train-auc:0.928141
[154] eval-auc:0.703556 train-auc:0.928835
[155] eval-auc:0.704309 train-auc:0.9297
[156] eval-auc:0.704965 train-auc:0.930493
[157] eval-auc:0.705248 train-auc:0.930924
[158] eval-auc:0.705355 train-auc:0.93169
[159] eval-auc:0.705588 train-auc:0.93175
[160] eval-auc:0.705469 train-auc:0.931907
[161] eval-auc:0.705379 train-auc:0.932956
[162] eval-auc:0.705411 train-auc:0.933226
[163] eval-auc:0.703142 train-auc:0.932994
[164] eval-auc:0.70306 train-auc:0.933667
[165] eval-auc:0.702495 train-auc:0.934452
[166] eval-auc:0.702361 train-auc:0.93451
[167] eval-auc:0.703066 train-auc:0.935643
[168] eval-auc:0.702197 train-auc:0.935946
[169] eval-auc:0.702687 train-auc:0.935649
[170] eval-auc:0.702366 train-auc:0.935675
[171] eval-auc:0.702031 train-auc:0.936123
[172] eval-auc:0.70179 train-auc:0.935967
[173] eval-auc:0.702386 train-auc:0.936092
[174] eval-auc:0.702949 train-auc:0.936216
[175] eval-auc:0.703095 train-auc:0.936469
[176] eval-auc:0.703156 train-auc:0.936592
[177] eval-auc:0.703057 train-auc:0.936752
[178] eval-auc:0.703422 train-auc:0.937577
[179] eval-auc:0.703843 train-auc:0.938399
[180] eval-auc:0.703584 train-auc:0.938416
[181] eval-auc:0.703346 train-auc:0.939271
[182] eval-auc:0.703065 train-auc:0.939198
[183] eval-auc:0.702867 train-auc:0.939609
[184] eval-auc:0.702559 train-auc:0.939751
[185] eval-auc:0.70281 train-auc:0.939946
[186] eval-auc:0.703046 train-auc:0.940693
[187] eval-auc:0.703129 train-auc:0.940715
[188] eval-auc:0.703447 train-auc:0.941104
[189] eval-auc:0.703225 train-auc:0.941619
[190] eval-auc:0.70325 train-auc:0.941651
[191] eval-auc:0.703503 train-auc:0.941943
[192] eval-auc:0.703553 train-auc:0.942687
[193] eval-auc:0.703579 train-auc:0.942918
[194] eval-auc:0.703613 train-auc:0.943085
[195] eval-auc:0.703101 train-auc:0.943496
[196] eval-auc:0.702728 train-auc:0.944117
[197] eval-auc:0.702975 train-auc:0.944578
[198] eval-auc:0.703001 train-auc:0.945068
[199] eval-auc:0.7028 train-auc:0.945449
[200] eval-auc:0.703649 train-auc:0.945871
[201] eval-auc:0.703575 train-auc:0.945959
[202] eval-auc:0.703348 train-auc:0.945904
[203] eval-auc:0.703311 train-auc:0.946747
[204] eval-auc:0.702535 train-auc:0.94687
[205] eval-auc:0.70216 train-auc:0.947491
[206] eval-auc:0.702248 train-auc:0.947853
[207] eval-auc:0.703071 train-auc:0.948392
[208] eval-auc:0.702999 train-auc:0.948368
[209] eval-auc:0.702772 train-auc:0.948211
[210] eval-auc:0.702445 train-auc:0.948408
[211] eval-auc:0.702315 train-auc:0.948432
[212] eval-auc:0.70195 train-auc:0.94891
[213] eval-auc:0.70167 train-auc:0.949199
[214] eval-auc:0.701055 train-auc:0.949325
[215] eval-auc:0.700816 train-auc:0.94933
[216] eval-auc:0.70133 train-auc:0.949614
[217] eval-auc:0.699526 train-auc:0.949915
[218] eval-auc:0.699247 train-auc:0.950615
[219] eval-auc:0.699255 train-auc:0.950647
[220] eval-auc:0.699923 train-auc:0.951179
[221] eval-auc:0.699241 train-auc:0.951641
[222] eval-auc:0.699395 train-auc:0.95201
[223] eval-auc:0.699476 train-auc:0.952047
[224] eval-auc:0.699307 train-auc:0.952215
[225] eval-auc:0.699724 train-auc:0.952122
[226] eval-auc:0.699929 train-auc:0.952194
[227] eval-auc:0.699998 train-auc:0.952559
[228] eval-auc:0.699492 train-auc:0.952837
[229] eval-auc:0.699931 train-auc:0.953136
[230] eval-auc:0.699022 train-auc:0.953461
[231] eval-auc:0.698448 train-auc:0.9535
[232] eval-auc:0.698548 train-auc:0.953646
[233] eval-auc:0.698553 train-auc:0.953924
[234] eval-auc:0.698548 train-auc:0.95407
[235] eval-auc:0.698745 train-auc:0.954094
[236] eval-auc:0.698256 train-auc:0.954214
[237] eval-auc:0.698451 train-auc:0.954336
[238] eval-auc:0.697959 train-auc:0.954556
[239] eval-auc:0.697781 train-auc:0.954737
[240] eval-auc:0.697333 train-auc:0.954938
[241] eval-auc:0.696328 train-auc:0.955312
[242] eval-auc:0.69565 train-auc:0.955683
[243] eval-auc:0.695676 train-auc:0.955871
[244] eval-auc:0.696535 train-auc:0.956223
[245] eval-auc:0.696148 train-auc:0.956434
[246] eval-auc:0.695587 train-auc:0.956656
[247] eval-auc:0.695783 train-auc:0.95701
[248] eval-auc:0.696033 train-auc:0.957269
[249] eval-auc:0.696451 train-auc:0.957739
[250] eval-auc:0.696486 train-auc:0.957927
[251] eval-auc:0.696329 train-auc:0.958257
[252] eval-auc:0.697458 train-auc:0.958791
[253] eval-auc:0.697875 train-auc:0.958586
Score 0.6978751720693395
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9, 'eta': 0.05, 'eval_metric': 'auc', 'gamma': 0.9500000000000001, 'max_depth': 10, 'min_child_weight': 2.0, 'n_estimators': 171.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.5, 'tree_method': 'exact'}
[0] eval-auc:0.689438 train-auc:0.79701
[1] eval-auc:0.66817 train-auc:0.812884
[2] eval-auc:0.684789 train-auc:0.845235
[3] eval-auc:0.692514 train-auc:0.863846
[4] eval-auc:0.698953 train-auc:0.87914
[5] eval-auc:0.692037 train-auc:0.898974
[6] eval-auc:0.692117 train-auc:0.905513
[7] eval-auc:0.697305 train-auc:0.913283
[8] eval-auc:0.700516 train-auc:0.921554
[9] eval-auc:0.700417 train-auc:0.928468
[10] eval-auc:0.703135 train-auc:0.93396
[11] eval-auc:0.700871 train-auc:0.94358
[12] eval-auc:0.697439 train-auc:0.946435
[13] eval-auc:0.700015 train-auc:0.947493
[14] eval-auc:0.696714 train-auc:0.949603
[15] eval-auc:0.691681 train-auc:0.953168
[16] eval-auc:0.691157 train-auc:0.95791
[17] eval-auc:0.695812 train-auc:0.961779
[18] eval-auc:0.694483 train-auc:0.964738
[19] eval-auc:0.694655 train-auc:0.967132
[20] eval-auc:0.697627 train-auc:0.969447
[21] eval-auc:0.69876 train-auc:0.972167
[22] eval-auc:0.699305 train-auc:0.973852
[23] eval-auc:0.696494 train-auc:0.975243
[24] eval-auc:0.698714 train-auc:0.977181
[25] eval-auc:0.700305 train-auc:0.977974
[26] eval-auc:0.700411 train-auc:0.978887
[27] eval-auc:0.700712 train-auc:0.980043
[28] eval-auc:0.699846 train-auc:0.981171
[29] eval-auc:0.700203 train-auc:0.981917
[30] eval-auc:0.702125 train-auc:0.982217
[31] eval-auc:0.701145 train-auc:0.983415
[32] eval-auc:0.70096 train-auc:0.984549
[33] eval-auc:0.700657 train-auc:0.984477
[34] eval-auc:0.698912 train-auc:0.985342
[35] eval-auc:0.698119 train-auc:0.986048
[36] eval-auc:0.698295 train-auc:0.986302
[37] eval-auc:0.699328 train-auc:0.987003
[38] eval-auc:0.697685 train-auc:0.987591
[39] eval-auc:0.698732 train-auc:0.987584
[40] eval-auc:0.699401 train-auc:0.988366
[41] eval-auc:0.698439 train-auc:0.988817
[42] eval-auc:0.699241 train-auc:0.989207
[43] eval-auc:0.699307 train-auc:0.989483
[44] eval-auc:0.699363 train-auc:0.990379
[45] eval-auc:0.699902 train-auc:0.990762
[46] eval-auc:0.700366 train-auc:0.991294
[47] eval-auc:0.700912 train-auc:0.991619
[48] eval-auc:0.702361 train-auc:0.99182
[49] eval-auc:0.701717 train-auc:0.992036
[50] eval-auc:0.70174 train-auc:0.992212
[51] eval-auc:0.701639 train-auc:0.992669
[52] eval-auc:0.70197 train-auc:0.992823
[53] eval-auc:0.701515 train-auc:0.992917
[54] eval-auc:0.702262 train-auc:0.993043
[55] eval-auc:0.70169 train-auc:0.993406
[56] eval-auc:0.700682 train-auc:0.993812
[57] eval-auc:0.699759 train-auc:0.993986
[58] eval-auc:0.700709 train-auc:0.994031
[59] eval-auc:0.701035 train-auc:0.994227
[60] eval-auc:0.700933 train-auc:0.994583
[61] eval-auc:0.701289 train-auc:0.994778
[62] eval-auc:0.701463 train-auc:0.995068
[63] eval-auc:0.700429 train-auc:0.995273
[64] eval-auc:0.699377 train-auc:0.995599
[65] eval-auc:0.700196 train-auc:0.995688
[66] eval-auc:0.699453 train-auc:0.996113
[67] eval-auc:0.700036 train-auc:0.996413
[68] eval-auc:0.699348 train-auc:0.99669
[69] eval-auc:0.69915 train-auc:0.996796
[70] eval-auc:0.699984 train-auc:0.996968
[71] eval-auc:0.699893 train-auc:0.997119
[72] eval-auc:0.699827 train-auc:0.997133
[73] eval-auc:0.699766 train-auc:0.99714
[74] eval-auc:0.699415 train-auc:0.997445
[75] eval-auc:0.698996 train-auc:0.997594
[76] eval-auc:0.69841 train-auc:0.997654
[77] eval-auc:0.698397 train-auc:0.997683
[78] eval-auc:0.697916 train-auc:0.9978
[79] eval-auc:0.698455 train-auc:0.998024
[80] eval-auc:0.698644 train-auc:0.998086
[81] eval-auc:0.698796 train-auc:0.998221
[82] eval-auc:0.698743 train-auc:0.998246
[83] eval-auc:0.698649 train-auc:0.998389
[84] eval-auc:0.698359 train-auc:0.998379
[85] eval-auc:0.698851 train-auc:0.998423
[86] eval-auc:0.699316 train-auc:0.998427
[87] eval-auc:0.698498 train-auc:0.998438
[88] eval-auc:0.698509 train-auc:0.998494
[89] eval-auc:0.697621 train-auc:0.998654
[90] eval-auc:0.697565 train-auc:0.998717
[91] eval-auc:0.697325 train-auc:0.998795
[92] eval-auc:0.696334 train-auc:0.998819
[93] eval-auc:0.696901 train-auc:0.998813
[94] eval-auc:0.697013 train-auc:0.998817
[95] eval-auc:0.696538 train-auc:0.998884
[96] eval-auc:0.69677 train-auc:0.998954
[97] eval-auc:0.696412 train-auc:0.998997
[98] eval-auc:0.696223 train-auc:0.999075
[99] eval-auc:0.69624 train-auc:0.99918
[100] eval-auc:0.695867 train-auc:0.999194
[101] eval-auc:0.695381 train-auc:0.999204
[102] eval-auc:0.694976 train-auc:0.99924
[103] eval-auc:0.694693 train-auc:0.999259
[104] eval-auc:0.694888 train-auc:0.999247
[105] eval-auc:0.69504 train-auc:0.999302
[106] eval-auc:0.696029 train-auc:0.999354
[107] eval-auc:0.69618 train-auc:0.999454
[108] eval-auc:0.696089 train-auc:0.999459
[109] eval-auc:0.695717 train-auc:0.999536
[110] eval-auc:0.695803 train-auc:0.999518
[111] eval-auc:0.696138 train-auc:0.999548
[112] eval-auc:0.6961 train-auc:0.999565
[113] eval-auc:0.696391 train-auc:0.999581
[114] eval-auc:0.695979 train-auc:0.999611
[115] eval-auc:0.695873 train-auc:0.999595
[116] eval-auc:0.695019 train-auc:0.999603
[117] eval-auc:0.695023 train-auc:0.999626
[118] eval-auc:0.695076 train-auc:0.999662
[119] eval-auc:0.695515 train-auc:0.999718
[120] eval-auc:0.694977 train-auc:0.999744
[121] eval-auc:0.696022 train-auc:0.999781
[122] eval-auc:0.695832 train-auc:0.999778
[123] eval-auc:0.694871 train-auc:0.999785
[124] eval-auc:0.695134 train-auc:0.999798
[125] eval-auc:0.695315 train-auc:0.999796
[126] eval-auc:0.694999 train-auc:0.999793
[127] eval-auc:0.69551 train-auc:0.999786
[128] eval-auc:0.695323 train-auc:0.999819
[129] eval-auc:0.69527 train-auc:0.999819
[130] eval-auc:0.694912 train-auc:0.999825
[131] eval-auc:0.693622 train-auc:0.999839
[132] eval-auc:0.69364 train-auc:0.999847
[133] eval-auc:0.69275 train-auc:0.999854
[134] eval-auc:0.692605 train-auc:0.999857
[135] eval-auc:0.693496 train-auc:0.999858
[136] eval-auc:0.693496 train-auc:0.999866
[137] eval-auc:0.693304 train-auc:0.999871
[138] eval-auc:0.693569 train-auc:0.999889
[139] eval-auc:0.693799 train-auc:0.999903
[140] eval-auc:0.694601 train-auc:0.999911
[141] eval-auc:0.694248 train-auc:0.999914
[142] eval-auc:0.694144 train-auc:0.999912
[143] eval-auc:0.694236 train-auc:0.999917
[144] eval-auc:0.694154 train-auc:0.999922
[145] eval-auc:0.694045 train-auc:0.99993
[146] eval-auc:0.693918 train-auc:0.999941
[147] eval-auc:0.693621 train-auc:0.999941
[148] eval-auc:0.693523 train-auc:0.999939
[149] eval-auc:0.693427 train-auc:0.999941
[150] eval-auc:0.692705 train-auc:0.99995
[151] eval-auc:0.692898 train-auc:0.999952
[152] eval-auc:0.6928 train-auc:0.999953
[153] eval-auc:0.693069 train-auc:0.999958
[154] eval-auc:0.69423 train-auc:0.999961
[155] eval-auc:0.693616 train-auc:0.999965
[156] eval-auc:0.693485 train-auc:0.999965
[157] eval-auc:0.693094 train-auc:0.99997
[158] eval-auc:0.691801 train-auc:0.999969
[159] eval-auc:0.692297 train-auc:0.999971
[160] eval-auc:0.692287 train-auc:0.999972
[161] eval-auc:0.692008 train-auc:0.999973
[162] eval-auc:0.691736 train-auc:0.99997
[163] eval-auc:0.691402 train-auc:0.99997
[164] eval-auc:0.691308 train-auc:0.999972
[165] eval-auc:0.691481 train-auc:0.999969
[166] eval-auc:0.690985 train-auc:0.999969
[167] eval-auc:0.691044 train-auc:0.999973
[168] eval-auc:0.690711 train-auc:0.999973
[169] eval-auc:0.691049 train-auc:0.999977
[170] eval-auc:0.69121 train-auc:0.999974
Score 0.6912101499591907
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8500000000000001, 'eta': 0.1, 'eval_metric': 'auc', 'gamma': 1.0, 'max_depth': 5, 'min_child_weight': 5.0, 'n_estimators': 519.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.710972 train-auc:0.749309
[1] eval-auc:0.700199 train-auc:0.768408
[2] eval-auc:0.700364 train-auc:0.785208
[3] eval-auc:0.700084 train-auc:0.802325
[4] eval-auc:0.697419 train-auc:0.80995
[5] eval-auc:0.692842 train-auc:0.825471
[6] eval-auc:0.69459 train-auc:0.821811
[7] eval-auc:0.694011 train-auc:0.828344
[8] eval-auc:0.698675 train-auc:0.834063
[9] eval-auc:0.696033 train-auc:0.838732
[10] eval-auc:0.694141 train-auc:0.846512
[11] eval-auc:0.691196 train-auc:0.852094
[12] eval-auc:0.691813 train-auc:0.857852
[13] eval-auc:0.69152 train-auc:0.863
[14] eval-auc:0.692242 train-auc:0.863368
[15] eval-auc:0.689988 train-auc:0.865816
[16] eval-auc:0.687642 train-auc:0.871232
[17] eval-auc:0.689629 train-auc:0.876461
[18] eval-auc:0.687828 train-auc:0.878006
[19] eval-auc:0.68904 train-auc:0.882713
[20] eval-auc:0.692637 train-auc:0.883343
[21] eval-auc:0.693401 train-auc:0.888158
[22] eval-auc:0.695872 train-auc:0.890788
[23] eval-auc:0.695127 train-auc:0.895835
[24] eval-auc:0.695931 train-auc:0.899278
[25] eval-auc:0.694675 train-auc:0.901134
[26] eval-auc:0.695823 train-auc:0.904002
[27] eval-auc:0.696193 train-auc:0.907308
[28] eval-auc:0.694582 train-auc:0.908625
[29] eval-auc:0.693831 train-auc:0.910781
[30] eval-auc:0.693994 train-auc:0.913225
[31] eval-auc:0.694555 train-auc:0.915875
[32] eval-auc:0.695411 train-auc:0.917864
[33] eval-auc:0.695197 train-auc:0.918968
[34] eval-auc:0.694661 train-auc:0.920009
[35] eval-auc:0.694295 train-auc:0.920125
[36] eval-auc:0.693727 train-auc:0.920542
[37] eval-auc:0.693941 train-auc:0.924315
[38] eval-auc:0.694071 train-auc:0.924626
[39] eval-auc:0.693514 train-auc:0.925871
[40] eval-auc:0.692819 train-auc:0.928823
[41] eval-auc:0.69236 train-auc:0.929123
[42] eval-auc:0.691588 train-auc:0.929666
[43] eval-auc:0.692023 train-auc:0.931158
[44] eval-auc:0.691745 train-auc:0.931703
[45] eval-auc:0.692843 train-auc:0.931967
[46] eval-auc:0.692638 train-auc:0.932186
[47] eval-auc:0.69304 train-auc:0.933757
[48] eval-auc:0.692966 train-auc:0.93549
[49] eval-auc:0.69375 train-auc:0.936703
[50] eval-auc:0.692885 train-auc:0.937532
[51] eval-auc:0.692185 train-auc:0.938365
[52] eval-auc:0.691711 train-auc:0.93909
[53] eval-auc:0.691763 train-auc:0.940775
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[425] eval-auc:0.696381 train-auc:0.999694
[426] eval-auc:0.696421 train-auc:0.999693
[427] eval-auc:0.696352 train-auc:0.9997
[428] eval-auc:0.69632 train-auc:0.999701
[429] eval-auc:0.695946 train-auc:0.999705
[430] eval-auc:0.695921 train-auc:0.999705
[431] eval-auc:0.695819 train-auc:0.999704
[432] eval-auc:0.695247 train-auc:0.999707
[433] eval-auc:0.69565 train-auc:0.999712
[434] eval-auc:0.695742 train-auc:0.999717
[435] eval-auc:0.695565 train-auc:0.999718
[436] eval-auc:0.695713 train-auc:0.999723
[437] eval-auc:0.695658 train-auc:0.999722
[438] eval-auc:0.695178 train-auc:0.999727
[439] eval-auc:0.695052 train-auc:0.999739
[440] eval-auc:0.695087 train-auc:0.999747
[441] eval-auc:0.695215 train-auc:0.99975
[442] eval-auc:0.69553 train-auc:0.999756
[443] eval-auc:0.695389 train-auc:0.999752
[444] eval-auc:0.695459 train-auc:0.999753
[445] eval-auc:0.695453 train-auc:0.999751
[446] eval-auc:0.695594 train-auc:0.999759
[447] eval-auc:0.695285 train-auc:0.999764
[448] eval-auc:0.695276 train-auc:0.999764
[449] eval-auc:0.695194 train-auc:0.999763
[450] eval-auc:0.695433 train-auc:0.999766
[451] eval-auc:0.695495 train-auc:0.999766
[452] eval-auc:0.695114 train-auc:0.999761
[453] eval-auc:0.694434 train-auc:0.999759
[454] eval-auc:0.694677 train-auc:0.999753
[455] eval-auc:0.694705 train-auc:0.999755
[456] eval-auc:0.69451 train-auc:0.999753
[457] eval-auc:0.694239 train-auc:0.999755
[458] eval-auc:0.694154 train-auc:0.999781
[459] eval-auc:0.694414 train-auc:0.999782
[460] eval-auc:0.694222 train-auc:0.999785
[461] eval-auc:0.694237 train-auc:0.999789
[462] eval-auc:0.694288 train-auc:0.999794
[463] eval-auc:0.694412 train-auc:0.999794
[464] eval-auc:0.694775 train-auc:0.999793
[465] eval-auc:0.694761 train-auc:0.999801
[466] eval-auc:0.694862 train-auc:0.999802
[467] eval-auc:0.69495 train-auc:0.999805
[468] eval-auc:0.695585 train-auc:0.999809
[469] eval-auc:0.695425 train-auc:0.999815
[470] eval-auc:0.695111 train-auc:0.999815
[471] eval-auc:0.695328 train-auc:0.999817
[472] eval-auc:0.695288 train-auc:0.999813
[473] eval-auc:0.695098 train-auc:0.999814
[474] eval-auc:0.694706 train-auc:0.999812
[475] eval-auc:0.694612 train-auc:0.999811
[476] eval-auc:0.694489 train-auc:0.999814
[477] eval-auc:0.694318 train-auc:0.999817
[478] eval-auc:0.694128 train-auc:0.999825
[479] eval-auc:0.694026 train-auc:0.999824
[480] eval-auc:0.693911 train-auc:0.999831
[481] eval-auc:0.694277 train-auc:0.999833
[482] eval-auc:0.694198 train-auc:0.999832
[483] eval-auc:0.694029 train-auc:0.999841
[484] eval-auc:0.693843 train-auc:0.999844
[485] eval-auc:0.694053 train-auc:0.999848
[486] eval-auc:0.694033 train-auc:0.99985
[487] eval-auc:0.694055 train-auc:0.999851
[488] eval-auc:0.694292 train-auc:0.999856
[489] eval-auc:0.694044 train-auc:0.999856
[490] eval-auc:0.693931 train-auc:0.999849
[491] eval-auc:0.693747 train-auc:0.99985
[492] eval-auc:0.693704 train-auc:0.999852
[493] eval-auc:0.693566 train-auc:0.999849
[494] eval-auc:0.693525 train-auc:0.99985
[495] eval-auc:0.693453 train-auc:0.999848
[496] eval-auc:0.693219 train-auc:0.999843
[497] eval-auc:0.693427 train-auc:0.999844
[498] eval-auc:0.693467 train-auc:0.999844
[499] eval-auc:0.693548 train-auc:0.999846
[500] eval-auc:0.693566 train-auc:0.999847
[501] eval-auc:0.693605 train-auc:0.999848
[502] eval-auc:0.693634 train-auc:0.999846
[503] eval-auc:0.693749 train-auc:0.999847
[504] eval-auc:0.693753 train-auc:0.999842
[505] eval-auc:0.693764 train-auc:0.999845
[506] eval-auc:0.693872 train-auc:0.999849
[507] eval-auc:0.694015 train-auc:0.999851
[508] eval-auc:0.694196 train-auc:0.999845
[509] eval-auc:0.694077 train-auc:0.999845
[510] eval-auc:0.694192 train-auc:0.999846
[511] eval-auc:0.694377 train-auc:0.999847
[512] eval-auc:0.694417 train-auc:0.999848
[513] eval-auc:0.693905 train-auc:0.999845
[514] eval-auc:0.693896 train-auc:0.999846
[515] eval-auc:0.694198 train-auc:0.999844
[516] eval-auc:0.694403 train-auc:0.999845
[517] eval-auc:0.694138 train-auc:0.999849
[518] eval-auc:0.694138 train-auc:0.999849
Score 0.6941383742036084
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8, 'eta': 0.42500000000000004, 'eval_metric': 'auc', 'gamma': 0.75, 'max_depth': 2, 'min_child_weight': 3.0, 'n_estimators': 268.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.8, 'tree_method': 'exact'}
[0] eval-auc:0.66852 train-auc:0.685548
[1] eval-auc:0.667791 train-auc:0.694248
[2] eval-auc:0.679169 train-auc:0.706933
[3] eval-auc:0.685059 train-auc:0.708794
[4] eval-auc:0.699156 train-auc:0.711388
[5] eval-auc:0.693407 train-auc:0.710679
[6] eval-auc:0.695155 train-auc:0.717023
[7] eval-auc:0.69641 train-auc:0.721389
[8] eval-auc:0.695913 train-auc:0.72304
[9] eval-auc:0.697345 train-auc:0.724959
[10] eval-auc:0.700192 train-auc:0.727214
[11] eval-auc:0.700825 train-auc:0.729813
[12] eval-auc:0.702028 train-auc:0.735529
[13] eval-auc:0.704889 train-auc:0.739129
[14] eval-auc:0.705689 train-auc:0.741103
[15] eval-auc:0.707257 train-auc:0.741992
[16] eval-auc:0.707261 train-auc:0.743468
[17] eval-auc:0.706789 train-auc:0.744804
[18] eval-auc:0.704898 train-auc:0.745634
[19] eval-auc:0.704998 train-auc:0.748826
[20] eval-auc:0.705251 train-auc:0.750846
[21] eval-auc:0.705863 train-auc:0.752399
[22] eval-auc:0.700834 train-auc:0.754563
[23] eval-auc:0.699099 train-auc:0.755152
[24] eval-auc:0.698368 train-auc:0.756528
[25] eval-auc:0.695437 train-auc:0.759479
[26] eval-auc:0.69416 train-auc:0.760822
[27] eval-auc:0.692537 train-auc:0.762437
[28] eval-auc:0.692723 train-auc:0.763887
[29] eval-auc:0.691558 train-auc:0.765859
[30] eval-auc:0.692573 train-auc:0.767653
[31] eval-auc:0.691859 train-auc:0.767988
[32] eval-auc:0.690444 train-auc:0.768999
[33] eval-auc:0.692008 train-auc:0.767279
[34] eval-auc:0.689539 train-auc:0.767373
[35] eval-auc:0.691328 train-auc:0.771022
[36] eval-auc:0.692036 train-auc:0.772937
[37] eval-auc:0.693646 train-auc:0.773094
[38] eval-auc:0.693871 train-auc:0.774788
[39] eval-auc:0.695773 train-auc:0.776355
[40] eval-auc:0.696151 train-auc:0.777262
[41] eval-auc:0.694891 train-auc:0.778925
[42] eval-auc:0.697884 train-auc:0.78119
[43] eval-auc:0.695892 train-auc:0.78189
[44] eval-auc:0.696311 train-auc:0.782723
[45] eval-auc:0.698235 train-auc:0.784408
[46] eval-auc:0.696824 train-auc:0.785023
[47] eval-auc:0.696846 train-auc:0.787066
[48] eval-auc:0.697394 train-auc:0.787566
[49] eval-auc:0.696325 train-auc:0.788823
[50] eval-auc:0.696121 train-auc:0.789897
[51] eval-auc:0.696687 train-auc:0.790529
[52] eval-auc:0.696138 train-auc:0.792595
[53] eval-auc:0.698454 train-auc:0.794168
[54] eval-auc:0.695714 train-auc:0.79526
[55] eval-auc:0.69396 train-auc:0.797378
[56] eval-auc:0.69403 train-auc:0.798712
[57] eval-auc:0.694616 train-auc:0.799583
[58] eval-auc:0.694484 train-auc:0.798949
[59] eval-auc:0.695669 train-auc:0.800215
[60] eval-auc:0.698848 train-auc:0.801815
[61] eval-auc:0.697759 train-auc:0.802861
[62] eval-auc:0.700394 train-auc:0.806182
[63] eval-auc:0.699696 train-auc:0.806297
[64] eval-auc:0.698682 train-auc:0.806352
[65] eval-auc:0.698084 train-auc:0.806233
[66] eval-auc:0.699928 train-auc:0.807757
[67] eval-auc:0.701464 train-auc:0.809109
[68] eval-auc:0.699981 train-auc:0.810481
[69] eval-auc:0.700476 train-auc:0.811578
[70] eval-auc:0.697901 train-auc:0.813603
[71] eval-auc:0.698506 train-auc:0.815476
[72] eval-auc:0.697426 train-auc:0.816372
[73] eval-auc:0.697102 train-auc:0.817294
[74] eval-auc:0.697514 train-auc:0.817723
[75] eval-auc:0.698262 train-auc:0.818528
[76] eval-auc:0.698845 train-auc:0.819339
[77] eval-auc:0.697421 train-auc:0.820211
[78] eval-auc:0.696491 train-auc:0.821623
[79] eval-auc:0.696774 train-auc:0.821708
[80] eval-auc:0.695283 train-auc:0.822873
[81] eval-auc:0.694253 train-auc:0.823753
[82] eval-auc:0.693456 train-auc:0.824465
[83] eval-auc:0.692821 train-auc:0.824199
[84] eval-auc:0.693267 train-auc:0.826123
[85] eval-auc:0.693027 train-auc:0.826626
[86] eval-auc:0.693505 train-auc:0.827114
[87] eval-auc:0.692287 train-auc:0.82836
[88] eval-auc:0.692099 train-auc:0.828193
[89] eval-auc:0.692387 train-auc:0.829509
[90] eval-auc:0.691719 train-auc:0.829501
[91] eval-auc:0.691225 train-auc:0.830132
[92] eval-auc:0.691924 train-auc:0.830804
[93] eval-auc:0.692718 train-auc:0.831146
[94] eval-auc:0.690287 train-auc:0.832455
[95] eval-auc:0.69096 train-auc:0.832921
[96] eval-auc:0.691126 train-auc:0.833584
[97] eval-auc:0.691506 train-auc:0.834721
[98] eval-auc:0.690414 train-auc:0.83577
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[100] eval-auc:0.690443 train-auc:0.835492
[101] eval-auc:0.69149 train-auc:0.835304
[102] eval-auc:0.692243 train-auc:0.837153
[103] eval-auc:0.692345 train-auc:0.836648
[104] eval-auc:0.692459 train-auc:0.837135
[105] eval-auc:0.692052 train-auc:0.837802
[106] eval-auc:0.689552 train-auc:0.83824
[107] eval-auc:0.689974 train-auc:0.839323
[108] eval-auc:0.690035 train-auc:0.83946
[109] eval-auc:0.689782 train-auc:0.839624
[110] eval-auc:0.689785 train-auc:0.839353
[111] eval-auc:0.689167 train-auc:0.841006
[112] eval-auc:0.688669 train-auc:0.841873
[113] eval-auc:0.68935 train-auc:0.843014
[114] eval-auc:0.688849 train-auc:0.845048
[115] eval-auc:0.689286 train-auc:0.846637
[116] eval-auc:0.689902 train-auc:0.847466
[117] eval-auc:0.689551 train-auc:0.848569
[118] eval-auc:0.688838 train-auc:0.849585
[119] eval-auc:0.688638 train-auc:0.849627
[120] eval-auc:0.688963 train-auc:0.849882
[121] eval-auc:0.689001 train-auc:0.851372
[122] eval-auc:0.689188 train-auc:0.851197
[123] eval-auc:0.687956 train-auc:0.852143
[124] eval-auc:0.688183 train-auc:0.851529
[125] eval-auc:0.689528 train-auc:0.85209
[126] eval-auc:0.68903 train-auc:0.852602
[127] eval-auc:0.687408 train-auc:0.851962
[128] eval-auc:0.686266 train-auc:0.851841
[129] eval-auc:0.685888 train-auc:0.853734
[130] eval-auc:0.686654 train-auc:0.853039
[131] eval-auc:0.686927 train-auc:0.853426
[132] eval-auc:0.6858 train-auc:0.853928
[133] eval-auc:0.685766 train-auc:0.854649
[134] eval-auc:0.686983 train-auc:0.854205
[135] eval-auc:0.687211 train-auc:0.854994
[136] eval-auc:0.687457 train-auc:0.85611
[137] eval-auc:0.687233 train-auc:0.857206
[138] eval-auc:0.688063 train-auc:0.858062
[139] eval-auc:0.688629 train-auc:0.857934
[140] eval-auc:0.689524 train-auc:0.858774
[141] eval-auc:0.689843 train-auc:0.859159
[142] eval-auc:0.69067 train-auc:0.859288
[143] eval-auc:0.691113 train-auc:0.859406
[144] eval-auc:0.691848 train-auc:0.860287
[145] eval-auc:0.690898 train-auc:0.860316
[146] eval-auc:0.690216 train-auc:0.861643
[147] eval-auc:0.690222 train-auc:0.861013
[148] eval-auc:0.690925 train-auc:0.861131
[149] eval-auc:0.691079 train-auc:0.861755
[150] eval-auc:0.691987 train-auc:0.862472
[151] eval-auc:0.692139 train-auc:0.863664
[152] eval-auc:0.692188 train-auc:0.863115
[153] eval-auc:0.69338 train-auc:0.86352
[154] eval-auc:0.694329 train-auc:0.86522
[155] eval-auc:0.693864 train-auc:0.865664
[156] eval-auc:0.693557 train-auc:0.866708
[157] eval-auc:0.691868 train-auc:0.866785
[158] eval-auc:0.691638 train-auc:0.867076
[159] eval-auc:0.692264 train-auc:0.867714
[160] eval-auc:0.692482 train-auc:0.868587
[161] eval-auc:0.693324 train-auc:0.869349
[162] eval-auc:0.692701 train-auc:0.869828
[163] eval-auc:0.690846 train-auc:0.870608
[164] eval-auc:0.690042 train-auc:0.870286
[165] eval-auc:0.690306 train-auc:0.87118
[166] eval-auc:0.6904 train-auc:0.872016
[167] eval-auc:0.690866 train-auc:0.872787
[168] eval-auc:0.692074 train-auc:0.872576
[169] eval-auc:0.693446 train-auc:0.871812
[170] eval-auc:0.694629 train-auc:0.872652
[171] eval-auc:0.694612 train-auc:0.872935
[172] eval-auc:0.694157 train-auc:0.872943
[173] eval-auc:0.694179 train-auc:0.872666
[174] eval-auc:0.695274 train-auc:0.87406
[175] eval-auc:0.696031 train-auc:0.874909
[176] eval-auc:0.696359 train-auc:0.875285
[177] eval-auc:0.696425 train-auc:0.875444
[178] eval-auc:0.695906 train-auc:0.876161
[179] eval-auc:0.696794 train-auc:0.876802
[180] eval-auc:0.696474 train-auc:0.877548
[181] eval-auc:0.696199 train-auc:0.878006
[182] eval-auc:0.693933 train-auc:0.878877
[183] eval-auc:0.69313 train-auc:0.878956
[184] eval-auc:0.689779 train-auc:0.879329
[185] eval-auc:0.688177 train-auc:0.879599
[186] eval-auc:0.688731 train-auc:0.880462
[187] eval-auc:0.688034 train-auc:0.881217
[188] eval-auc:0.688172 train-auc:0.881846
[189] eval-auc:0.686793 train-auc:0.88216
[190] eval-auc:0.685882 train-auc:0.882075
[191] eval-auc:0.686928 train-auc:0.882215
[192] eval-auc:0.687859 train-auc:0.882838
[193] eval-auc:0.688171 train-auc:0.882808
[194] eval-auc:0.687359 train-auc:0.882978
[195] eval-auc:0.68703 train-auc:0.882901
[196] eval-auc:0.68737 train-auc:0.883607
[197] eval-auc:0.68798 train-auc:0.883368
[198] eval-auc:0.688219 train-auc:0.884136
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[201] eval-auc:0.687769 train-auc:0.885038
[202] eval-auc:0.688643 train-auc:0.88591
[203] eval-auc:0.689022 train-auc:0.88619
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[209] eval-auc:0.685529 train-auc:0.888056
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[211] eval-auc:0.684641 train-auc:0.887533
[212] eval-auc:0.682815 train-auc:0.888616
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[214] eval-auc:0.682326 train-auc:0.88894
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[227] eval-auc:0.686509 train-auc:0.894046
[228] eval-auc:0.685946 train-auc:0.894861
[229] eval-auc:0.686112 train-auc:0.894854
[230] eval-auc:0.686321 train-auc:0.895529
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[232] eval-auc:0.685996 train-auc:0.895286
[233] eval-auc:0.686418 train-auc:0.896265
[234] eval-auc:0.686601 train-auc:0.89614
[235] eval-auc:0.686199 train-auc:0.89617
[236] eval-auc:0.686257 train-auc:0.896756
[237] eval-auc:0.686243 train-auc:0.897127
[238] eval-auc:0.68476 train-auc:0.898077
[239] eval-auc:0.685279 train-auc:0.897522
[240] eval-auc:0.684346 train-auc:0.898083
[241] eval-auc:0.681728 train-auc:0.898007
[242] eval-auc:0.683132 train-auc:0.898463
[243] eval-auc:0.684533 train-auc:0.898692
[244] eval-auc:0.685049 train-auc:0.899189
[245] eval-auc:0.685119 train-auc:0.899303
[246] eval-auc:0.684266 train-auc:0.899551
[247] eval-auc:0.684012 train-auc:0.900093
[248] eval-auc:0.682547 train-auc:0.900323
[249] eval-auc:0.684102 train-auc:0.898955
[250] eval-auc:0.683453 train-auc:0.899683
[251] eval-auc:0.683709 train-auc:0.900841
[252] eval-auc:0.685087 train-auc:0.900928
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[254] eval-auc:0.683356 train-auc:0.900432
[255] eval-auc:0.683336 train-auc:0.900761
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[257] eval-auc:0.681923 train-auc:0.901116
[258] eval-auc:0.682949 train-auc:0.901581
[259] eval-auc:0.683351 train-auc:0.901924
[260] eval-auc:0.683663 train-auc:0.902393
[261] eval-auc:0.682815 train-auc:0.90276
[262] eval-auc:0.68176 train-auc:0.903462
[263] eval-auc:0.681323 train-auc:0.903861
[264] eval-auc:0.681995 train-auc:0.90451
[265] eval-auc:0.680964 train-auc:0.904771
[266] eval-auc:0.677714 train-auc:0.904706
[267] eval-auc:0.677059 train-auc:0.905245
Score 0.677059350217447
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.55, 'eta': 0.225, 'eval_metric': 'auc', 'gamma': 0.8500000000000001, 'max_depth': 8, 'min_child_weight': 1.0, 'n_estimators': 221.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.8500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.521261 train-auc:0.690625
[1] eval-auc:0.604689 train-auc:0.850517
[2] eval-auc:0.585891 train-auc:0.859959
[3] eval-auc:0.596877 train-auc:0.897184
[4] eval-auc:0.617954 train-auc:0.909196
[5] eval-auc:0.625937 train-auc:0.936171
[6] eval-auc:0.633018 train-auc:0.942026
[7] eval-auc:0.629858 train-auc:0.945063
[8] eval-auc:0.64128 train-auc:0.955191
[9] eval-auc:0.641876 train-auc:0.963052
[10] eval-auc:0.642473 train-auc:0.969966
[11] eval-auc:0.643236 train-auc:0.972231
[12] eval-auc:0.646599 train-auc:0.976015
[13] eval-auc:0.647976 train-auc:0.978305
[14] eval-auc:0.647072 train-auc:0.981659
[15] eval-auc:0.645924 train-auc:0.984524
[16] eval-auc:0.644538 train-auc:0.985678
[17] eval-auc:0.654272 train-auc:0.98792
[18] eval-auc:0.653085 train-auc:0.988523
[19] eval-auc:0.659248 train-auc:0.990136
[20] eval-auc:0.657134 train-auc:0.991286
[21] eval-auc:0.658444 train-auc:0.992311
[22] eval-auc:0.661497 train-auc:0.993292
[23] eval-auc:0.65989 train-auc:0.994454
[24] eval-auc:0.66021 train-auc:0.995514
[25] eval-auc:0.659015 train-auc:0.995997
[26] eval-auc:0.662098 train-auc:0.996485
[27] eval-auc:0.659714 train-auc:0.996715
[28] eval-auc:0.66067 train-auc:0.997469
[29] eval-auc:0.661278 train-auc:0.997661
[30] eval-auc:0.659572 train-auc:0.99815
[31] eval-auc:0.659683 train-auc:0.998304
[32] eval-auc:0.657919 train-auc:0.998451
[33] eval-auc:0.659449 train-auc:0.998484
[34] eval-auc:0.658165 train-auc:0.998705
[35] eval-auc:0.660452 train-auc:0.998805
[36] eval-auc:0.660343 train-auc:0.998891
[37] eval-auc:0.659019 train-auc:0.998945
[38] eval-auc:0.660064 train-auc:0.999076
[39] eval-auc:0.659138 train-auc:0.999142
[40] eval-auc:0.660694 train-auc:0.999198
[41] eval-auc:0.660624 train-auc:0.999213
[42] eval-auc:0.66095 train-auc:0.999213
[43] eval-auc:0.659744 train-auc:0.999276
[44] eval-auc:0.65878 train-auc:0.999379
[45] eval-auc:0.658622 train-auc:0.999493
[46] eval-auc:0.658621 train-auc:0.9995
[47] eval-auc:0.659866 train-auc:0.999581
[48] eval-auc:0.659514 train-auc:0.999652
[49] eval-auc:0.65974 train-auc:0.999654
[50] eval-auc:0.660497 train-auc:0.999714
[51] eval-auc:0.660611 train-auc:0.99971
[52] eval-auc:0.660384 train-auc:0.99974
[53] eval-auc:0.660104 train-auc:0.999768
[54] eval-auc:0.658229 train-auc:0.999818
[55] eval-auc:0.656773 train-auc:0.999886
[56] eval-auc:0.657556 train-auc:0.999915
[57] eval-auc:0.658971 train-auc:0.999939
[58] eval-auc:0.658838 train-auc:0.999943
[59] eval-auc:0.658695 train-auc:0.999947
[60] eval-auc:0.657909 train-auc:0.999954
[61] eval-auc:0.65748 train-auc:0.999955
[62] eval-auc:0.657098 train-auc:0.999957
[63] eval-auc:0.658445 train-auc:0.999965
[64] eval-auc:0.658567 train-auc:0.999964
[65] eval-auc:0.658567 train-auc:0.999964
[66] eval-auc:0.658477 train-auc:0.999966
[67] eval-auc:0.658601 train-auc:0.999974
[68] eval-auc:0.658438 train-auc:0.999983
[69] eval-auc:0.657634 train-auc:0.999983
[70] eval-auc:0.662877 train-auc:0.999985
[71] eval-auc:0.662913 train-auc:0.99999
[72] eval-auc:0.662606 train-auc:0.999987
[73] eval-auc:0.661442 train-auc:0.999992
[74] eval-auc:0.661412 train-auc:0.999996
[75] eval-auc:0.661329 train-auc:0.999996
[76] eval-auc:0.661247 train-auc:0.999999
[77] eval-auc:0.661424 train-auc:0.999998
[78] eval-auc:0.661348 train-auc:0.999997
[79] eval-auc:0.660821 train-auc:0.999998
[80] eval-auc:0.661103 train-auc:0.999998
[81] eval-auc:0.660113 train-auc:0.999998
[82] eval-auc:0.660127 train-auc:0.999998
[83] eval-auc:0.658992 train-auc:0.999997
[84] eval-auc:0.658619 train-auc:0.999997
[85] eval-auc:0.657727 train-auc:0.999998
[86] eval-auc:0.658089 train-auc:0.999997
[87] eval-auc:0.659924 train-auc:0.999999
[88] eval-auc:0.659703 train-auc:0.999999
[89] eval-auc:0.660286 train-auc:0.999999
[90] eval-auc:0.660219 train-auc:0.999999
[91] eval-auc:0.659289 train-auc:1
[92] eval-auc:0.659511 train-auc:1
[93] eval-auc:0.659146 train-auc:1
[94] eval-auc:0.657602 train-auc:1
[95] eval-auc:0.661001 train-auc:1
[96] eval-auc:0.661112 train-auc:1
[97] eval-auc:0.660955 train-auc:1
[98] eval-auc:0.660809 train-auc:1
[99] eval-auc:0.659691 train-auc:1
[100] eval-auc:0.659854 train-auc:1
[101] eval-auc:0.659559 train-auc:1
[102] eval-auc:0.66009 train-auc:1
[103] eval-auc:0.660934 train-auc:1
[104] eval-auc:0.661322 train-auc:1
[105] eval-auc:0.660378 train-auc:1
[106] eval-auc:0.660388 train-auc:1
[107] eval-auc:0.66027 train-auc:1
[108] eval-auc:0.659517 train-auc:1
[109] eval-auc:0.661381 train-auc:1
[110] eval-auc:0.663349 train-auc:1
[111] eval-auc:0.662493 train-auc:1
[112] eval-auc:0.662947 train-auc:1
[113] eval-auc:0.662484 train-auc:1
[114] eval-auc:0.662211 train-auc:1
[115] eval-auc:0.662229 train-auc:1
[116] eval-auc:0.663154 train-auc:1
[117] eval-auc:0.66303 train-auc:1
[118] eval-auc:0.663075 train-auc:1
[119] eval-auc:0.663192 train-auc:1
[120] eval-auc:0.662878 train-auc:1
[121] eval-auc:0.664101 train-auc:1
[122] eval-auc:0.66296 train-auc:1
[123] eval-auc:0.662077 train-auc:1
[124] eval-auc:0.662109 train-auc:1
[125] eval-auc:0.660653 train-auc:1
[126] eval-auc:0.660617 train-auc:1
[127] eval-auc:0.661346 train-auc:1
[128] eval-auc:0.660927 train-auc:1
[129] eval-auc:0.660894 train-auc:1
[130] eval-auc:0.660952 train-auc:1
[131] eval-auc:0.660535 train-auc:1
[132] eval-auc:0.659682 train-auc:1
[133] eval-auc:0.660235 train-auc:1
[134] eval-auc:0.659728 train-auc:1
[135] eval-auc:0.660273 train-auc:1
[136] eval-auc:0.6603 train-auc:1
[137] eval-auc:0.659741 train-auc:1
[138] eval-auc:0.660203 train-auc:1
[139] eval-auc:0.660195 train-auc:1
[140] eval-auc:0.659792 train-auc:1
[141] eval-auc:0.659684 train-auc:1
[142] eval-auc:0.65909 train-auc:1
[143] eval-auc:0.65909 train-auc:1
[144] eval-auc:0.659137 train-auc:1
[145] eval-auc:0.659715 train-auc:1
[146] eval-auc:0.659534 train-auc:1
[147] eval-auc:0.659508 train-auc:1
[148] eval-auc:0.659598 train-auc:1
[149] eval-auc:0.659074 train-auc:1
[150] eval-auc:0.659114 train-auc:1
[151] eval-auc:0.659214 train-auc:1
[152] eval-auc:0.659437 train-auc:1
[153] eval-auc:0.659592 train-auc:1
[154] eval-auc:0.659336 train-auc:1
[155] eval-auc:0.659959 train-auc:1
[156] eval-auc:0.659936 train-auc:1
[157] eval-auc:0.659926 train-auc:1
[158] eval-auc:0.659968 train-auc:1
[159] eval-auc:0.660095 train-auc:1
[160] eval-auc:0.660251 train-auc:1
[161] eval-auc:0.65975 train-auc:1
[162] eval-auc:0.659426 train-auc:1
[163] eval-auc:0.658365 train-auc:1
[164] eval-auc:0.658439 train-auc:1
[165] eval-auc:0.65866 train-auc:1
[166] eval-auc:0.658528 train-auc:1
[167] eval-auc:0.658374 train-auc:1
[168] eval-auc:0.658129 train-auc:1
[169] eval-auc:0.658724 train-auc:1
[170] eval-auc:0.658482 train-auc:1
[171] eval-auc:0.658817 train-auc:1
[172] eval-auc:0.65891 train-auc:1
[173] eval-auc:0.658483 train-auc:1
[174] eval-auc:0.658254 train-auc:1
[175] eval-auc:0.658165 train-auc:1
[176] eval-auc:0.658095 train-auc:1
[177] eval-auc:0.658275 train-auc:1
[178] eval-auc:0.658397 train-auc:1
[179] eval-auc:0.658336 train-auc:1
[180] eval-auc:0.658258 train-auc:1
[181] eval-auc:0.658841 train-auc:1
[182] eval-auc:0.659 train-auc:1
[183] eval-auc:0.659179 train-auc:1
[184] eval-auc:0.658726 train-auc:1
[185] eval-auc:0.658765 train-auc:1
[186] eval-auc:0.659679 train-auc:1
[187] eval-auc:0.659542 train-auc:1
[188] eval-auc:0.659679 train-auc:1
[189] eval-auc:0.659988 train-auc:1
[190] eval-auc:0.661243 train-auc:1
[191] eval-auc:0.661243 train-auc:1
[192] eval-auc:0.660915 train-auc:1
[193] eval-auc:0.661375 train-auc:1
[194] eval-auc:0.661215 train-auc:1
[195] eval-auc:0.660955 train-auc:1
[196] eval-auc:0.660909 train-auc:1
[197] eval-auc:0.660694 train-auc:1
[198] eval-auc:0.660407 train-auc:1
[199] eval-auc:0.660533 train-auc:1
[200] eval-auc:0.660562 train-auc:1
[201] eval-auc:0.660562 train-auc:1
[202] eval-auc:0.660197 train-auc:1
[203] eval-auc:0.660647 train-auc:1
[204] eval-auc:0.660647 train-auc:1
[205] eval-auc:0.66021 train-auc:1
[206] eval-auc:0.660152 train-auc:1
[207] eval-auc:0.660152 train-auc:1
[208] eval-auc:0.660596 train-auc:1
[209] eval-auc:0.66083 train-auc:1
[210] eval-auc:0.660513 train-auc:1
[211] eval-auc:0.660513 train-auc:1
[212] eval-auc:0.65983 train-auc:1
[213] eval-auc:0.66002 train-auc:1
[214] eval-auc:0.659954 train-auc:1
[215] eval-auc:0.659982 train-auc:1
[216] eval-auc:0.659982 train-auc:1
[217] eval-auc:0.6605 train-auc:1
[218] eval-auc:0.66095 train-auc:1
[219] eval-auc:0.660567 train-auc:1
[220] eval-auc:0.660079 train-auc:1
Score 0.6600793041698645
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9500000000000001, 'eta': 0.125, 'eval_metric': 'auc', 'gamma': 0.65, 'max_depth': 9, 'min_child_weight': 6.0, 'n_estimators': 319.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.690471 train-auc:0.851757
[1] eval-auc:0.678909 train-auc:0.892054
[2] eval-auc:0.682703 train-auc:0.91356
[3] eval-auc:0.690555 train-auc:0.93619
[4] eval-auc:0.688736 train-auc:0.943559
[5] eval-auc:0.686622 train-auc:0.955149
[6] eval-auc:0.68869 train-auc:0.960428
[7] eval-auc:0.694347 train-auc:0.965876
[8] eval-auc:0.694805 train-auc:0.969499
[9] eval-auc:0.697062 train-auc:0.974813
[10] eval-auc:0.697069 train-auc:0.978412
[11] eval-auc:0.69505 train-auc:0.981245
[12] eval-auc:0.695545 train-auc:0.982574
[13] eval-auc:0.696901 train-auc:0.985153
[14] eval-auc:0.697432 train-auc:0.987273
[15] eval-auc:0.698926 train-auc:0.988178
[16] eval-auc:0.702119 train-auc:0.989777
[17] eval-auc:0.701346 train-auc:0.990727
[18] eval-auc:0.702288 train-auc:0.9915
[19] eval-auc:0.701492 train-auc:0.992156
[20] eval-auc:0.702733 train-auc:0.992946
[21] eval-auc:0.702087 train-auc:0.993529
[22] eval-auc:0.702305 train-auc:0.993885
[23] eval-auc:0.703374 train-auc:0.994932
[24] eval-auc:0.703511 train-auc:0.995434
[25] eval-auc:0.701432 train-auc:0.995763
[26] eval-auc:0.700937 train-auc:0.996205
[27] eval-auc:0.700283 train-auc:0.996354
[28] eval-auc:0.700771 train-auc:0.996628
[29] eval-auc:0.699859 train-auc:0.997068
[30] eval-auc:0.701224 train-auc:0.997341
[31] eval-auc:0.699937 train-auc:0.997379
[32] eval-auc:0.699491 train-auc:0.997636
[33] eval-auc:0.698999 train-auc:0.997865
[34] eval-auc:0.700822 train-auc:0.99797
[35] eval-auc:0.699932 train-auc:0.998012
[36] eval-auc:0.698903 train-auc:0.998195
[37] eval-auc:0.699217 train-auc:0.998185
[38] eval-auc:0.699267 train-auc:0.998481
[39] eval-auc:0.698624 train-auc:0.998707
[40] eval-auc:0.697766 train-auc:0.998803
[41] eval-auc:0.698711 train-auc:0.998949
[42] eval-auc:0.699165 train-auc:0.99901
[43] eval-auc:0.699849 train-auc:0.999072
[44] eval-auc:0.699488 train-auc:0.999022
[45] eval-auc:0.701093 train-auc:0.999029
[46] eval-auc:0.701236 train-auc:0.999206
[47] eval-auc:0.700776 train-auc:0.999257
[48] eval-auc:0.700366 train-auc:0.999303
[49] eval-auc:0.700832 train-auc:0.999321
[50] eval-auc:0.699769 train-auc:0.999373
[51] eval-auc:0.698553 train-auc:0.999409
[52] eval-auc:0.699393 train-auc:0.999463
[53] eval-auc:0.700007 train-auc:0.999498
[54] eval-auc:0.701271 train-auc:0.999571
[55] eval-auc:0.70236 train-auc:0.999589
[56] eval-auc:0.701729 train-auc:0.999589
[57] eval-auc:0.701467 train-auc:0.999587
[58] eval-auc:0.700293 train-auc:0.999589
[59] eval-auc:0.700374 train-auc:0.9996
[60] eval-auc:0.699923 train-auc:0.999603
[61] eval-auc:0.699113 train-auc:0.999714
[62] eval-auc:0.699157 train-auc:0.999725
[63] eval-auc:0.698557 train-auc:0.999757
[64] eval-auc:0.698076 train-auc:0.999762
[65] eval-auc:0.698279 train-auc:0.999761
[66] eval-auc:0.697345 train-auc:0.99977
[67] eval-auc:0.697481 train-auc:0.999819
[68] eval-auc:0.697852 train-auc:0.999835
[69] eval-auc:0.697875 train-auc:0.999837
[70] eval-auc:0.698166 train-auc:0.999838
[71] eval-auc:0.698169 train-auc:0.999866
[72] eval-auc:0.698551 train-auc:0.999875
[73] eval-auc:0.69874 train-auc:0.999879
[74] eval-auc:0.699004 train-auc:0.9999
[75] eval-auc:0.699798 train-auc:0.999922
[76] eval-auc:0.699731 train-auc:0.999923
[77] eval-auc:0.69994 train-auc:0.999925
[78] eval-auc:0.700138 train-auc:0.999927
[79] eval-auc:0.70008 train-auc:0.999927
[80] eval-auc:0.699369 train-auc:0.999933
[81] eval-auc:0.700275 train-auc:0.999943
[82] eval-auc:0.700062 train-auc:0.999943
[83] eval-auc:0.70024 train-auc:0.999943
[84] eval-auc:0.700255 train-auc:0.999942
[85] eval-auc:0.700642 train-auc:0.999947
[86] eval-auc:0.700481 train-auc:0.99995
[87] eval-auc:0.700755 train-auc:0.999963
[88] eval-auc:0.700954 train-auc:0.999968
[89] eval-auc:0.701248 train-auc:0.99997
[90] eval-auc:0.701355 train-auc:0.999971
[91] eval-auc:0.701318 train-auc:0.999971
[92] eval-auc:0.70054 train-auc:0.999979
[93] eval-auc:0.700662 train-auc:0.99998
[94] eval-auc:0.700478 train-auc:0.99998
[95] eval-auc:0.700586 train-auc:0.999986
[96] eval-auc:0.701332 train-auc:0.999987
[97] eval-auc:0.701295 train-auc:0.999988
[98] eval-auc:0.701279 train-auc:0.999988
[99] eval-auc:0.701861 train-auc:0.999989
[100] eval-auc:0.701912 train-auc:0.99999
[101] eval-auc:0.702157 train-auc:0.999991
[102] eval-auc:0.701866 train-auc:0.999991
[103] eval-auc:0.701521 train-auc:0.999988
[104] eval-auc:0.702279 train-auc:0.999989
[105] eval-auc:0.702248 train-auc:0.999989
[106] eval-auc:0.702357 train-auc:0.999991
[107] eval-auc:0.702254 train-auc:0.999992
[108] eval-auc:0.701204 train-auc:0.999995
[109] eval-auc:0.700985 train-auc:0.999995
[110] eval-auc:0.70091 train-auc:0.999995
[111] eval-auc:0.70049 train-auc:0.999996
[112] eval-auc:0.700205 train-auc:0.999996
[113] eval-auc:0.700121 train-auc:0.999996
[114] eval-auc:0.700627 train-auc:0.999996
[115] eval-auc:0.70052 train-auc:0.999996
[116] eval-auc:0.70061 train-auc:0.999996
[117] eval-auc:0.700774 train-auc:0.999996
[118] eval-auc:0.700397 train-auc:0.999997
[119] eval-auc:0.700758 train-auc:0.999999
[120] eval-auc:0.701292 train-auc:0.999999
[121] eval-auc:0.701597 train-auc:0.999999
[122] eval-auc:0.701368 train-auc:0.999998
[123] eval-auc:0.700782 train-auc:0.999998
[124] eval-auc:0.70079 train-auc:0.999998
[125] eval-auc:0.700755 train-auc:0.999998
[126] eval-auc:0.701003 train-auc:0.999998
[127] eval-auc:0.701105 train-auc:0.999999
[128] eval-auc:0.701406 train-auc:0.999999
[129] eval-auc:0.701169 train-auc:0.999999
[130] eval-auc:0.701157 train-auc:0.999999
[131] eval-auc:0.701237 train-auc:0.999999
[132] eval-auc:0.701001 train-auc:0.999999
[133] eval-auc:0.700755 train-auc:0.999999
[134] eval-auc:0.700768 train-auc:0.999999
[135] eval-auc:0.700307 train-auc:1
[136] eval-auc:0.700088 train-auc:1
[137] eval-auc:0.700235 train-auc:0.999999
[138] eval-auc:0.700503 train-auc:0.999999
[139] eval-auc:0.700851 train-auc:1
[140] eval-auc:0.700934 train-auc:1
[141] eval-auc:0.700325 train-auc:1
[142] eval-auc:0.699995 train-auc:1
[143] eval-auc:0.700545 train-auc:1
[144] eval-auc:0.700776 train-auc:1
[145] eval-auc:0.700791 train-auc:1
[146] eval-auc:0.699905 train-auc:1
[147] eval-auc:0.699561 train-auc:1
[148] eval-auc:0.699859 train-auc:1
[149] eval-auc:0.699678 train-auc:0.999999
[150] eval-auc:0.69953 train-auc:0.999999
[151] eval-auc:0.699529 train-auc:0.999999
[152] eval-auc:0.699139 train-auc:1
[153] eval-auc:0.699482 train-auc:0.999999
[154] eval-auc:0.700411 train-auc:0.999999
[155] eval-auc:0.70066 train-auc:1
[156] eval-auc:0.700784 train-auc:0.999999
[157] eval-auc:0.700774 train-auc:0.999999
[158] eval-auc:0.700653 train-auc:0.999999
[159] eval-auc:0.701096 train-auc:0.999999
[160] eval-auc:0.701155 train-auc:0.999999
[161] eval-auc:0.700884 train-auc:0.999999
[162] eval-auc:0.700587 train-auc:0.999999
[163] eval-auc:0.700365 train-auc:0.999999
[164] eval-auc:0.700342 train-auc:0.999999
[165] eval-auc:0.700126 train-auc:1
[166] eval-auc:0.700197 train-auc:1
[167] eval-auc:0.699302 train-auc:1
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[176] eval-auc:0.69886 train-auc:1
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[185] eval-auc:0.69744 train-auc:1
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[187] eval-auc:0.696747 train-auc:1
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[190] eval-auc:0.696573 train-auc:1
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[200] eval-auc:0.694897 train-auc:1
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[205] eval-auc:0.694315 train-auc:1
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[210] eval-auc:0.695329 train-auc:1
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[215] eval-auc:0.695125 train-auc:1
[216] eval-auc:0.695312 train-auc:1
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[218] eval-auc:0.694959 train-auc:1
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[220] eval-auc:0.694709 train-auc:1
[221] eval-auc:0.694888 train-auc:1
[222] eval-auc:0.694789 train-auc:1
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[224] eval-auc:0.694877 train-auc:1
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[226] eval-auc:0.695017 train-auc:1
[227] eval-auc:0.69431 train-auc:1
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[230] eval-auc:0.694313 train-auc:1
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[240] eval-auc:0.695463 train-auc:1
[241] eval-auc:0.695 train-auc:1
[242] eval-auc:0.694626 train-auc:1
[243] eval-auc:0.694475 train-auc:1
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[245] eval-auc:0.694085 train-auc:1
[246] eval-auc:0.694017 train-auc:1
[247] eval-auc:0.694006 train-auc:1
[248] eval-auc:0.694023 train-auc:1
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[250] eval-auc:0.693974 train-auc:1
[251] eval-auc:0.693382 train-auc:1
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[254] eval-auc:0.693225 train-auc:1
[255] eval-auc:0.693234 train-auc:1
[256] eval-auc:0.693392 train-auc:1
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[258] eval-auc:0.693552 train-auc:1
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[260] eval-auc:0.69379 train-auc:1
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[262] eval-auc:0.693688 train-auc:1
[263] eval-auc:0.693514 train-auc:1
[264] eval-auc:0.693624 train-auc:1
[265] eval-auc:0.693514 train-auc:1
[266] eval-auc:0.693618 train-auc:1
[267] eval-auc:0.693712 train-auc:1
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[269] eval-auc:0.694114 train-auc:1
[270] eval-auc:0.694117 train-auc:1
[271] eval-auc:0.694158 train-auc:1
[272] eval-auc:0.694027 train-auc:1
[273] eval-auc:0.694215 train-auc:1
[274] eval-auc:0.694245 train-auc:1
[275] eval-auc:0.694323 train-auc:1
[276] eval-auc:0.694856 train-auc:1
[277] eval-auc:0.695128 train-auc:1
[278] eval-auc:0.694483 train-auc:1
[279] eval-auc:0.694359 train-auc:1
[280] eval-auc:0.69419 train-auc:1
[281] eval-auc:0.694094 train-auc:1
[282] eval-auc:0.693828 train-auc:1
[283] eval-auc:0.69349 train-auc:1
[284] eval-auc:0.693767 train-auc:1
[285] eval-auc:0.693718 train-auc:1
[286] eval-auc:0.693896 train-auc:1
[287] eval-auc:0.693968 train-auc:1
[288] eval-auc:0.693978 train-auc:1
[289] eval-auc:0.6943 train-auc:1
[290] eval-auc:0.69423 train-auc:1
[291] eval-auc:0.69428 train-auc:1
[292] eval-auc:0.69419 train-auc:1
[293] eval-auc:0.694204 train-auc:1
[294] eval-auc:0.694355 train-auc:1
[295] eval-auc:0.694463 train-auc:1
[296] eval-auc:0.694578 train-auc:1
[297] eval-auc:0.694673 train-auc:1
[298] eval-auc:0.694687 train-auc:1
[299] eval-auc:0.694671 train-auc:1
[300] eval-auc:0.694661 train-auc:1
[301] eval-auc:0.694298 train-auc:1
[302] eval-auc:0.694243 train-auc:1
[303] eval-auc:0.694658 train-auc:1
[304] eval-auc:0.694414 train-auc:1
[305] eval-auc:0.694297 train-auc:1
[306] eval-auc:0.694515 train-auc:1
[307] eval-auc:0.694361 train-auc:1
[308] eval-auc:0.694399 train-auc:1
[309] eval-auc:0.694455 train-auc:1
[310] eval-auc:0.694583 train-auc:1
[311] eval-auc:0.694696 train-auc:1
[312] eval-auc:0.695058 train-auc:1
[313] eval-auc:0.694921 train-auc:1
[314] eval-auc:0.694921 train-auc:1
[315] eval-auc:0.695124 train-auc:1
[316] eval-auc:0.695241 train-auc:1
[317] eval-auc:0.695312 train-auc:1
[318] eval-auc:0.695354 train-auc:1
Score 0.6953535187418534
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.75, 'eta': 0.275, 'eval_metric': 'auc', 'gamma': 0.8, 'max_depth': 7, 'min_child_weight': 4.0, 'n_estimators': 472.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9, 'tree_method': 'exact'}
[0] eval-auc:0.644922 train-auc:0.745879
[1] eval-auc:0.647537 train-auc:0.805692
[2] eval-auc:0.647228 train-auc:0.848822
[3] eval-auc:0.656572 train-auc:0.864334
[4] eval-auc:0.681312 train-auc:0.899716
[5] eval-auc:0.679179 train-auc:0.913145
[6] eval-auc:0.681278 train-auc:0.91895
[7] eval-auc:0.680099 train-auc:0.920238
[8] eval-auc:0.685711 train-auc:0.936383
[9] eval-auc:0.692626 train-auc:0.945133
[10] eval-auc:0.688906 train-auc:0.953099
[11] eval-auc:0.686455 train-auc:0.9571
[12] eval-auc:0.683977 train-auc:0.962026
[13] eval-auc:0.684069 train-auc:0.963048
[14] eval-auc:0.683695 train-auc:0.964602
[15] eval-auc:0.682604 train-auc:0.965992
[16] eval-auc:0.681862 train-auc:0.969302
[17] eval-auc:0.68811 train-auc:0.973346
[18] eval-auc:0.686079 train-auc:0.975752
[19] eval-auc:0.688737 train-auc:0.97781
[20] eval-auc:0.687447 train-auc:0.980006
[21] eval-auc:0.690385 train-auc:0.982486
[22] eval-auc:0.685986 train-auc:0.983537
[23] eval-auc:0.689797 train-auc:0.985794
[24] eval-auc:0.690766 train-auc:0.986524
[25] eval-auc:0.689663 train-auc:0.986788
[26] eval-auc:0.689633 train-auc:0.988844
[27] eval-auc:0.689421 train-auc:0.989318
[28] eval-auc:0.688146 train-auc:0.990069
[29] eval-auc:0.688865 train-auc:0.990605
[30] eval-auc:0.686511 train-auc:0.991396
[31] eval-auc:0.685923 train-auc:0.992482
[32] eval-auc:0.685192 train-auc:0.992789
[33] eval-auc:0.684956 train-auc:0.993262
[34] eval-auc:0.684324 train-auc:0.993438
[35] eval-auc:0.68423 train-auc:0.993724
[36] eval-auc:0.6843 train-auc:0.994368
[37] eval-auc:0.683248 train-auc:0.994784
[38] eval-auc:0.683025 train-auc:0.995591
[39] eval-auc:0.684291 train-auc:0.995795
[40] eval-auc:0.684769 train-auc:0.995967
[41] eval-auc:0.683447 train-auc:0.996285
[42] eval-auc:0.682753 train-auc:0.996829
[43] eval-auc:0.682581 train-auc:0.99684
[44] eval-auc:0.683236 train-auc:0.997102
[45] eval-auc:0.683991 train-auc:0.997438
[46] eval-auc:0.68349 train-auc:0.997776
[47] eval-auc:0.683205 train-auc:0.997918
[48] eval-auc:0.682218 train-auc:0.998065
[49] eval-auc:0.681676 train-auc:0.998086
[50] eval-auc:0.680778 train-auc:0.998316
[51] eval-auc:0.681559 train-auc:0.998473
[52] eval-auc:0.683405 train-auc:0.998643
[53] eval-auc:0.683307 train-auc:0.99872
[54] eval-auc:0.686104 train-auc:0.998848
[55] eval-auc:0.68574 train-auc:0.998877
[56] eval-auc:0.685536 train-auc:0.998938
[57] eval-auc:0.685788 train-auc:0.99889
[58] eval-auc:0.685762 train-auc:0.998958
[59] eval-auc:0.685724 train-auc:0.99915
[60] eval-auc:0.68537 train-auc:0.999184
[61] eval-auc:0.684037 train-auc:0.999243
[62] eval-auc:0.683539 train-auc:0.999252
[63] eval-auc:0.684439 train-auc:0.999282
[64] eval-auc:0.684193 train-auc:0.999333
[65] eval-auc:0.684393 train-auc:0.999375
[66] eval-auc:0.684959 train-auc:0.999437
[67] eval-auc:0.68552 train-auc:0.999509
[68] eval-auc:0.685116 train-auc:0.999526
[69] eval-auc:0.686141 train-auc:0.999597
[70] eval-auc:0.687088 train-auc:0.999613
[71] eval-auc:0.686991 train-auc:0.999624
[72] eval-auc:0.686599 train-auc:0.999688
[73] eval-auc:0.686191 train-auc:0.999682
[74] eval-auc:0.685587 train-auc:0.999693
[75] eval-auc:0.68571 train-auc:0.999741
[76] eval-auc:0.685302 train-auc:0.999781
[77] eval-auc:0.684498 train-auc:0.999783
[78] eval-auc:0.685596 train-auc:0.999801
[79] eval-auc:0.686074 train-auc:0.999802
[80] eval-auc:0.686008 train-auc:0.999794
[81] eval-auc:0.686063 train-auc:0.999818
[82] eval-auc:0.685439 train-auc:0.999842
[83] eval-auc:0.685885 train-auc:0.999845
[84] eval-auc:0.68689 train-auc:0.999874
[85] eval-auc:0.685509 train-auc:0.999901
[86] eval-auc:0.684501 train-auc:0.999892
[87] eval-auc:0.687709 train-auc:0.999896
[88] eval-auc:0.687665 train-auc:0.99989
[89] eval-auc:0.687901 train-auc:0.999893
[90] eval-auc:0.687149 train-auc:0.999891
[91] eval-auc:0.686852 train-auc:0.999904
[92] eval-auc:0.685829 train-auc:0.99993
[93] eval-auc:0.685174 train-auc:0.999935
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[95] eval-auc:0.685958 train-auc:0.999955
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[100] eval-auc:0.686333 train-auc:0.999976
[101] eval-auc:0.685922 train-auc:0.99998
[102] eval-auc:0.687009 train-auc:0.999983
[103] eval-auc:0.688233 train-auc:0.999989
[104] eval-auc:0.68873 train-auc:0.999991
[105] eval-auc:0.688649 train-auc:0.999991
[106] eval-auc:0.688918 train-auc:0.999992
[107] eval-auc:0.688725 train-auc:0.999992
[108] eval-auc:0.689792 train-auc:0.999991
[109] eval-auc:0.689774 train-auc:0.999989
[110] eval-auc:0.693411 train-auc:0.99999
[111] eval-auc:0.693959 train-auc:0.999991
[112] eval-auc:0.693826 train-auc:0.99999
[113] eval-auc:0.694498 train-auc:0.999995
[114] eval-auc:0.694278 train-auc:0.999996
[115] eval-auc:0.694367 train-auc:0.999997
[116] eval-auc:0.695632 train-auc:0.999998
[117] eval-auc:0.695947 train-auc:0.999998
[118] eval-auc:0.695602 train-auc:0.999998
[119] eval-auc:0.696165 train-auc:0.999997
[120] eval-auc:0.697252 train-auc:0.999997
[121] eval-auc:0.697709 train-auc:0.999996
[122] eval-auc:0.695622 train-auc:0.999998
[123] eval-auc:0.69572 train-auc:1
[124] eval-auc:0.696223 train-auc:1
[125] eval-auc:0.696869 train-auc:1
[126] eval-auc:0.697226 train-auc:1
[127] eval-auc:0.696805 train-auc:1
[128] eval-auc:0.696814 train-auc:1
[129] eval-auc:0.698615 train-auc:0.999999
[130] eval-auc:0.698618 train-auc:0.999999
[131] eval-auc:0.69886 train-auc:0.999999
[132] eval-auc:0.699702 train-auc:0.999999
[133] eval-auc:0.700242 train-auc:1
[134] eval-auc:0.700701 train-auc:0.999999
[135] eval-auc:0.700717 train-auc:0.999999
[136] eval-auc:0.701274 train-auc:0.999999
[137] eval-auc:0.700624 train-auc:0.999999
[138] eval-auc:0.701119 train-auc:0.999999
[139] eval-auc:0.700971 train-auc:0.999999
[140] eval-auc:0.700878 train-auc:1
[141] eval-auc:0.700764 train-auc:1
[142] eval-auc:0.699984 train-auc:1
[143] eval-auc:0.699942 train-auc:1
[144] eval-auc:0.699483 train-auc:1
[145] eval-auc:0.69948 train-auc:1
[146] eval-auc:0.69962 train-auc:1
[147] eval-auc:0.69954 train-auc:1
[148] eval-auc:0.699163 train-auc:1
[149] eval-auc:0.69908 train-auc:1
[150] eval-auc:0.699244 train-auc:1
[151] eval-auc:0.699322 train-auc:1
[152] eval-auc:0.699812 train-auc:1
[153] eval-auc:0.700345 train-auc:1
[154] eval-auc:0.70036 train-auc:1
[155] eval-auc:0.700875 train-auc:1
[156] eval-auc:0.699961 train-auc:1
[157] eval-auc:0.699278 train-auc:1
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[159] eval-auc:0.698841 train-auc:1
[160] eval-auc:0.698343 train-auc:1
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[162] eval-auc:0.697988 train-auc:1
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[167] eval-auc:0.699279 train-auc:1
[168] eval-auc:0.699375 train-auc:1
[169] eval-auc:0.699462 train-auc:1
[170] eval-auc:0.699371 train-auc:1
[171] eval-auc:0.698632 train-auc:1
[172] eval-auc:0.699099 train-auc:1
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[174] eval-auc:0.698643 train-auc:1
[175] eval-auc:0.698327 train-auc:1
[176] eval-auc:0.698286 train-auc:1
[177] eval-auc:0.698699 train-auc:1
[178] eval-auc:0.69809 train-auc:1
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[180] eval-auc:0.698037 train-auc:1
[181] eval-auc:0.698005 train-auc:1
[182] eval-auc:0.697517 train-auc:1
[183] eval-auc:0.697584 train-auc:1
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[188] eval-auc:0.699127 train-auc:1
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[190] eval-auc:0.698653 train-auc:1
[191] eval-auc:0.698684 train-auc:1
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[194] eval-auc:0.698332 train-auc:1
[195] eval-auc:0.698251 train-auc:1
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[197] eval-auc:0.69797 train-auc:1
[198] eval-auc:0.697639 train-auc:1
[199] eval-auc:0.697674 train-auc:1
[200] eval-auc:0.697595 train-auc:1
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[202] eval-auc:0.697385 train-auc:1
[203] eval-auc:0.696721 train-auc:1
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[206] eval-auc:0.695992 train-auc:1
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[208] eval-auc:0.696154 train-auc:1
[209] eval-auc:0.695809 train-auc:1
[210] eval-auc:0.696045 train-auc:1
[211] eval-auc:0.696244 train-auc:1
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[240] eval-auc:0.699297 train-auc:1
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[245] eval-auc:0.699297 train-auc:1
[246] eval-auc:0.699297 train-auc:1
[247] eval-auc:0.699744 train-auc:1
[248] eval-auc:0.699744 train-auc:1
[249] eval-auc:0.700034 train-auc:1
[250] eval-auc:0.700255 train-auc:1
[251] eval-auc:0.699999 train-auc:1
[252] eval-auc:0.700104 train-auc:1
[253] eval-auc:0.699649 train-auc:1
[254] eval-auc:0.699409 train-auc:1
[255] eval-auc:0.699229 train-auc:1
[256] eval-auc:0.699418 train-auc:1
[257] eval-auc:0.699285 train-auc:1
[258] eval-auc:0.699247 train-auc:1
[259] eval-auc:0.699576 train-auc:1
[260] eval-auc:0.699576 train-auc:1
[261] eval-auc:0.698886 train-auc:1
[262] eval-auc:0.698746 train-auc:1
[263] eval-auc:0.698746 train-auc:1
[264] eval-auc:0.698746 train-auc:1
[265] eval-auc:0.698679 train-auc:1
[266] eval-auc:0.698827 train-auc:1
[267] eval-auc:0.698792 train-auc:1
[268] eval-auc:0.699272 train-auc:1
[269] eval-auc:0.699218 train-auc:1
[270] eval-auc:0.6987 train-auc:1
[271] eval-auc:0.6987 train-auc:1
[272] eval-auc:0.6987 train-auc:1
[273] eval-auc:0.698921 train-auc:1
[274] eval-auc:0.698921 train-auc:1
[275] eval-auc:0.6989 train-auc:1
[276] eval-auc:0.698312 train-auc:1
[277] eval-auc:0.698309 train-auc:1
[278] eval-auc:0.698081 train-auc:1
[279] eval-auc:0.698431 train-auc:1
[280] eval-auc:0.698501 train-auc:1
[281] eval-auc:0.698582 train-auc:1
[282] eval-auc:0.698813 train-auc:1
[283] eval-auc:0.698813 train-auc:1
[284] eval-auc:0.698822 train-auc:1
[285] eval-auc:0.698822 train-auc:1
[286] eval-auc:0.698423 train-auc:1
[287] eval-auc:0.698299 train-auc:1
[288] eval-auc:0.698504 train-auc:1
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[290] eval-auc:0.698233 train-auc:1
[291] eval-auc:0.698233 train-auc:1
[292] eval-auc:0.698123 train-auc:1
[293] eval-auc:0.698091 train-auc:1
[294] eval-auc:0.697954 train-auc:1
[295] eval-auc:0.698122 train-auc:1
[296] eval-auc:0.699278 train-auc:1
[297] eval-auc:0.699261 train-auc:1
[298] eval-auc:0.699261 train-auc:1
[299] eval-auc:0.699322 train-auc:1
[300] eval-auc:0.699425 train-auc:1
[301] eval-auc:0.699425 train-auc:1
[302] eval-auc:0.699072 train-auc:1
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[306] eval-auc:0.699043 train-auc:1
[307] eval-auc:0.699025 train-auc:1
[308] eval-auc:0.699025 train-auc:1
[309] eval-auc:0.6989 train-auc:1
[310] eval-auc:0.698816 train-auc:1
[311] eval-auc:0.6984 train-auc:1
[312] eval-auc:0.698295 train-auc:1
[313] eval-auc:0.698419 train-auc:1
[314] eval-auc:0.698419 train-auc:1
[315] eval-auc:0.698638 train-auc:1
[316] eval-auc:0.698638 train-auc:1
[317] eval-auc:0.698717 train-auc:1
[318] eval-auc:0.698796 train-auc:1
[319] eval-auc:0.698408 train-auc:1
[320] eval-auc:0.698408 train-auc:1
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[324] eval-auc:0.698134 train-auc:1
[325] eval-auc:0.698082 train-auc:1
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[327] eval-auc:0.6983 train-auc:1
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[333] eval-auc:0.69844 train-auc:1
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[335] eval-auc:0.698292 train-auc:1
[336] eval-auc:0.698311 train-auc:1
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[338] eval-auc:0.698359 train-auc:1
[339] eval-auc:0.698341 train-auc:1
[340] eval-auc:0.698107 train-auc:1
[341] eval-auc:0.698107 train-auc:1
[342] eval-auc:0.698107 train-auc:1
[343] eval-auc:0.698308 train-auc:1
[344] eval-auc:0.698308 train-auc:1
[345] eval-auc:0.698146 train-auc:1
[346] eval-auc:0.69858 train-auc:1
[347] eval-auc:0.6985 train-auc:1
[348] eval-auc:0.6985 train-auc:1
[349] eval-auc:0.6985 train-auc:1
[350] eval-auc:0.698568 train-auc:1
[351] eval-auc:0.698568 train-auc:1
[352] eval-auc:0.698426 train-auc:1
[353] eval-auc:0.698612 train-auc:1
[354] eval-auc:0.698612 train-auc:1
[355] eval-auc:0.698574 train-auc:1
[356] eval-auc:0.698592 train-auc:1
[357] eval-auc:0.698592 train-auc:1
[358] eval-auc:0.698397 train-auc:1
[359] eval-auc:0.698621 train-auc:1
[360] eval-auc:0.698621 train-auc:1
[361] eval-auc:0.698708 train-auc:1
[362] eval-auc:0.698708 train-auc:1
[363] eval-auc:0.698882 train-auc:1
[364] eval-auc:0.698851 train-auc:1
[365] eval-auc:0.698859 train-auc:1
[366] eval-auc:0.698795 train-auc:1
[367] eval-auc:0.698795 train-auc:1
[368] eval-auc:0.698795 train-auc:1
[369] eval-auc:0.698676 train-auc:1
[370] eval-auc:0.698676 train-auc:1
[371] eval-auc:0.698897 train-auc:1
[372] eval-auc:0.699086 train-auc:1
[373] eval-auc:0.699086 train-auc:1
[374] eval-auc:0.699086 train-auc:1
[375] eval-auc:0.699095 train-auc:1
[376] eval-auc:0.699256 train-auc:1
[377] eval-auc:0.699256 train-auc:1
[378] eval-auc:0.699177 train-auc:1
[379] eval-auc:0.699177 train-auc:1
[380] eval-auc:0.69888 train-auc:1
[381] eval-auc:0.698866 train-auc:1
[382] eval-auc:0.698866 train-auc:1
[383] eval-auc:0.698866 train-auc:1
[384] eval-auc:0.698866 train-auc:1
[385] eval-auc:0.699039 train-auc:1
[386] eval-auc:0.699039 train-auc:1
[387] eval-auc:0.698425 train-auc:1
[388] eval-auc:0.698425 train-auc:1
[389] eval-auc:0.698136 train-auc:1
[390] eval-auc:0.698545 train-auc:1
[391] eval-auc:0.698545 train-auc:1
[392] eval-auc:0.698545 train-auc:1
[393] eval-auc:0.698545 train-auc:1
[394] eval-auc:0.698545 train-auc:1
[395] eval-auc:0.698545 train-auc:1
[396] eval-auc:0.698545 train-auc:1
[397] eval-auc:0.698545 train-auc:1
[398] eval-auc:0.698545 train-auc:1
[399] eval-auc:0.698233 train-auc:1
[400] eval-auc:0.698233 train-auc:1
[401] eval-auc:0.698233 train-auc:1
[402] eval-auc:0.698507 train-auc:1
[403] eval-auc:0.698402 train-auc:1
[404] eval-auc:0.698402 train-auc:1
[405] eval-auc:0.698563 train-auc:1
[406] eval-auc:0.698563 train-auc:1
[407] eval-auc:0.698563 train-auc:1
[408] eval-auc:0.698563 train-auc:1
[409] eval-auc:0.698563 train-auc:1
[410] eval-auc:0.698563 train-auc:1
[411] eval-auc:0.698563 train-auc:1
[412] eval-auc:0.698203 train-auc:1
[413] eval-auc:0.698148 train-auc:1
[414] eval-auc:0.698239 train-auc:1
[415] eval-auc:0.698303 train-auc:1
[416] eval-auc:0.698303 train-auc:1
[417] eval-auc:0.698303 train-auc:1
[418] eval-auc:0.698303 train-auc:1
[419] eval-auc:0.698515 train-auc:1
[420] eval-auc:0.698515 train-auc:1
[421] eval-auc:0.698506 train-auc:1
[422] eval-auc:0.698397 train-auc:1
[423] eval-auc:0.698446 train-auc:1
[424] eval-auc:0.698594 train-auc:1
[425] eval-auc:0.699273 train-auc:1
[426] eval-auc:0.699273 train-auc:1
[427] eval-auc:0.699273 train-auc:1
[428] eval-auc:0.699273 train-auc:1
[429] eval-auc:0.699273 train-auc:1
[430] eval-auc:0.699255 train-auc:1
[431] eval-auc:0.699255 train-auc:1
[432] eval-auc:0.699291 train-auc:1
[433] eval-auc:0.699262 train-auc:1
[434] eval-auc:0.699262 train-auc:1
[435] eval-auc:0.699262 train-auc:1
[436] eval-auc:0.699329 train-auc:1
[437] eval-auc:0.699329 train-auc:1
[438] eval-auc:0.699329 train-auc:1
[439] eval-auc:0.699329 train-auc:1
[440] eval-auc:0.699227 train-auc:1
[441] eval-auc:0.699275 train-auc:1
[442] eval-auc:0.699275 train-auc:1
[443] eval-auc:0.699275 train-auc:1
[444] eval-auc:0.699275 train-auc:1
[445] eval-auc:0.699275 train-auc:1
[446] eval-auc:0.699275 train-auc:1
[447] eval-auc:0.699275 train-auc:1
[448] eval-auc:0.698901 train-auc:1
[449] eval-auc:0.698901 train-auc:1
[450] eval-auc:0.698901 train-auc:1
[451] eval-auc:0.698901 train-auc:1
[452] eval-auc:0.698901 train-auc:1
[453] eval-auc:0.69883 train-auc:1
[454] eval-auc:0.698865 train-auc:1
[455] eval-auc:0.698865 train-auc:1
[456] eval-auc:0.698865 train-auc:1
[457] eval-auc:0.69871 train-auc:1
[458] eval-auc:0.698396 train-auc:1
[459] eval-auc:0.698346 train-auc:1
[460] eval-auc:0.698349 train-auc:1
[461] eval-auc:0.698349 train-auc:1
[462] eval-auc:0.698349 train-auc:1
[463] eval-auc:0.698443 train-auc:1
[464] eval-auc:0.698443 train-auc:1
[465] eval-auc:0.698443 train-auc:1
[466] eval-auc:0.698443 train-auc:1
[467] eval-auc:0.698524 train-auc:1
[468] eval-auc:0.698524 train-auc:1
[469] eval-auc:0.698524 train-auc:1
[470] eval-auc:0.698524 train-auc:1
[471] eval-auc:0.698524 train-auc:1
Score 0.6985238582514102
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9, 'eta': 0.025, 'eval_metric': 'auc', 'gamma': 0.9, 'max_depth': 12, 'min_child_weight': 3.0, 'n_estimators': 440.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.689735 train-auc:0.924338
[1] eval-auc:0.616419 train-auc:0.966777
[2] eval-auc:0.66056 train-auc:0.980386
[3] eval-auc:0.635834 train-auc:0.985455
[4] eval-auc:0.657389 train-auc:0.985893
[5] eval-auc:0.670351 train-auc:0.990748
[6] eval-auc:0.674912 train-auc:0.991983
[7] eval-auc:0.676557 train-auc:0.991545
[8] eval-auc:0.674026 train-auc:0.992473
[9] eval-auc:0.683209 train-auc:0.994828
[10] eval-auc:0.686779 train-auc:0.994386
[11] eval-auc:0.687729 train-auc:0.993826
[12] eval-auc:0.689875 train-auc:0.993771
[13] eval-auc:0.690996 train-auc:0.994596
[14] eval-auc:0.693297 train-auc:0.995369
[15] eval-auc:0.69632 train-auc:0.996596
[16] eval-auc:0.694926 train-auc:0.996986
[17] eval-auc:0.696108 train-auc:0.997419
[18] eval-auc:0.696112 train-auc:0.997407
[19] eval-auc:0.695627 train-auc:0.997379
[20] eval-auc:0.695985 train-auc:0.99768
[21] eval-auc:0.697018 train-auc:0.997671
[22] eval-auc:0.697801 train-auc:0.997662
[23] eval-auc:0.697934 train-auc:0.997738
[24] eval-auc:0.698053 train-auc:0.997833
[25] eval-auc:0.696663 train-auc:0.998411
[26] eval-auc:0.698024 train-auc:0.998521
[27] eval-auc:0.69726 train-auc:0.998623
[28] eval-auc:0.696359 train-auc:0.998766
[29] eval-auc:0.697432 train-auc:0.998847
[30] eval-auc:0.698204 train-auc:0.99899
[31] eval-auc:0.697892 train-auc:0.999062
[32] eval-auc:0.698385 train-auc:0.999115
[33] eval-auc:0.698751 train-auc:0.999156
[34] eval-auc:0.698681 train-auc:0.99922
[35] eval-auc:0.699618 train-auc:0.999317
[36] eval-auc:0.699515 train-auc:0.999307
[37] eval-auc:0.700203 train-auc:0.99928
[38] eval-auc:0.699631 train-auc:0.999371
[39] eval-auc:0.699314 train-auc:0.999416
[40] eval-auc:0.699591 train-auc:0.999442
[41] eval-auc:0.699699 train-auc:0.999472
[42] eval-auc:0.698531 train-auc:0.999488
[43] eval-auc:0.698726 train-auc:0.999566
[44] eval-auc:0.699064 train-auc:0.999631
[45] eval-auc:0.698568 train-auc:0.99966
[46] eval-auc:0.699445 train-auc:0.999677
[47] eval-auc:0.699681 train-auc:0.999668
[48] eval-auc:0.700041 train-auc:0.999713
[49] eval-auc:0.700969 train-auc:0.999705
[50] eval-auc:0.701007 train-auc:0.999693
[51] eval-auc:0.701878 train-auc:0.999732
[52] eval-auc:0.701447 train-auc:0.999735
[53] eval-auc:0.701937 train-auc:0.999738
[54] eval-auc:0.701923 train-auc:0.999749
[55] eval-auc:0.702145 train-auc:0.99977
[56] eval-auc:0.702005 train-auc:0.999758
[57] eval-auc:0.702287 train-auc:0.999763
[58] eval-auc:0.702561 train-auc:0.999754
[59] eval-auc:0.70193 train-auc:0.999774
[60] eval-auc:0.702574 train-auc:0.999766
[61] eval-auc:0.702319 train-auc:0.999766
[62] eval-auc:0.702612 train-auc:0.999795
[63] eval-auc:0.702174 train-auc:0.999805
[64] eval-auc:0.702306 train-auc:0.999811
[65] eval-auc:0.702212 train-auc:0.999838
[66] eval-auc:0.701569 train-auc:0.999832
[67] eval-auc:0.701046 train-auc:0.999836
[68] eval-auc:0.701259 train-auc:0.999863
[69] eval-auc:0.701173 train-auc:0.999866
[70] eval-auc:0.701346 train-auc:0.999877
[71] eval-auc:0.700901 train-auc:0.99988
[72] eval-auc:0.700312 train-auc:0.999882
[73] eval-auc:0.700712 train-auc:0.999895
[74] eval-auc:0.701039 train-auc:0.999902
[75] eval-auc:0.700905 train-auc:0.999905
[76] eval-auc:0.700823 train-auc:0.999912
[77] eval-auc:0.701145 train-auc:0.999919
[78] eval-auc:0.701082 train-auc:0.999923
[79] eval-auc:0.701009 train-auc:0.999924
[80] eval-auc:0.700771 train-auc:0.999926
[81] eval-auc:0.700918 train-auc:0.999941
[82] eval-auc:0.701053 train-auc:0.999952
[83] eval-auc:0.70095 train-auc:0.999952
[84] eval-auc:0.700718 train-auc:0.999954
[85] eval-auc:0.700688 train-auc:0.999957
[86] eval-auc:0.700837 train-auc:0.999962
[87] eval-auc:0.700672 train-auc:0.999961
[88] eval-auc:0.700563 train-auc:0.999962
[89] eval-auc:0.700587 train-auc:0.999966
[90] eval-auc:0.700496 train-auc:0.999964
[91] eval-auc:0.700822 train-auc:0.999964
[92] eval-auc:0.701335 train-auc:0.999969
[93] eval-auc:0.701688 train-auc:0.999977
[94] eval-auc:0.701583 train-auc:0.999978
[95] eval-auc:0.701442 train-auc:0.999978
[96] eval-auc:0.701286 train-auc:0.999977
[97] eval-auc:0.701151 train-auc:0.999979
[98] eval-auc:0.701234 train-auc:0.999979
[99] eval-auc:0.701042 train-auc:0.99998
[100] eval-auc:0.700913 train-auc:0.999979
[101] eval-auc:0.70096 train-auc:0.999982
[102] eval-auc:0.701414 train-auc:0.999983
[103] eval-auc:0.701673 train-auc:0.999985
[104] eval-auc:0.701632 train-auc:0.999985
[105] eval-auc:0.701536 train-auc:0.999985
[106] eval-auc:0.701802 train-auc:0.999988
[107] eval-auc:0.701682 train-auc:0.999987
[108] eval-auc:0.702169 train-auc:0.99999
[109] eval-auc:0.702338 train-auc:0.999991
[110] eval-auc:0.702296 train-auc:0.999991
[111] eval-auc:0.702588 train-auc:0.999995
[112] eval-auc:0.702842 train-auc:0.999996
[113] eval-auc:0.702879 train-auc:0.999997
[114] eval-auc:0.703025 train-auc:0.999997
[115] eval-auc:0.70315 train-auc:0.999997
[116] eval-auc:0.703412 train-auc:0.999998
[117] eval-auc:0.703496 train-auc:0.999998
[118] eval-auc:0.703768 train-auc:0.999998
[119] eval-auc:0.703774 train-auc:0.999998
[120] eval-auc:0.703942 train-auc:0.999998
[121] eval-auc:0.703904 train-auc:0.999998
[122] eval-auc:0.70392 train-auc:0.999998
[123] eval-auc:0.703861 train-auc:0.999998
[124] eval-auc:0.704018 train-auc:0.999999
[125] eval-auc:0.704163 train-auc:0.999999
[126] eval-auc:0.704426 train-auc:0.999999
[127] eval-auc:0.704542 train-auc:0.999999
[128] eval-auc:0.704696 train-auc:1
[129] eval-auc:0.704828 train-auc:1
[130] eval-auc:0.704849 train-auc:1
[131] eval-auc:0.705058 train-auc:1
[132] eval-auc:0.705014 train-auc:1
[133] eval-auc:0.704747 train-auc:1
[134] eval-auc:0.70467 train-auc:1
[135] eval-auc:0.704676 train-auc:1
[136] eval-auc:0.704443 train-auc:1
[137] eval-auc:0.704251 train-auc:1
[138] eval-auc:0.704079 train-auc:1
[139] eval-auc:0.703887 train-auc:1
[140] eval-auc:0.703665 train-auc:1
[141] eval-auc:0.703415 train-auc:1
[142] eval-auc:0.703599 train-auc:1
[143] eval-auc:0.703477 train-auc:1
[144] eval-auc:0.7034 train-auc:1
[145] eval-auc:0.703334 train-auc:1
[146] eval-auc:0.703575 train-auc:1
[147] eval-auc:0.703508 train-auc:1
[148] eval-auc:0.703458 train-auc:1
[149] eval-auc:0.703173 train-auc:1
[150] eval-auc:0.703142 train-auc:1
[151] eval-auc:0.703206 train-auc:1
[152] eval-auc:0.703244 train-auc:1
[153] eval-auc:0.703129 train-auc:1
[154] eval-auc:0.70299 train-auc:1
[155] eval-auc:0.702957 train-auc:1
[156] eval-auc:0.703164 train-auc:1
[157] eval-auc:0.703188 train-auc:1
[158] eval-auc:0.703226 train-auc:1
[159] eval-auc:0.703091 train-auc:1
[160] eval-auc:0.702981 train-auc:1
[161] eval-auc:0.703156 train-auc:1
[162] eval-auc:0.702987 train-auc:1
[163] eval-auc:0.702791 train-auc:1
[164] eval-auc:0.702888 train-auc:1
[165] eval-auc:0.702957 train-auc:1
[166] eval-auc:0.702841 train-auc:1
[167] eval-auc:0.702894 train-auc:1
[168] eval-auc:0.702891 train-auc:1
[169] eval-auc:0.702955 train-auc:1
[170] eval-auc:0.703019 train-auc:1
[171] eval-auc:0.702954 train-auc:1
[172] eval-auc:0.702844 train-auc:1
[173] eval-auc:0.702774 train-auc:1
[174] eval-auc:0.702687 train-auc:1
[175] eval-auc:0.702928 train-auc:1
[176] eval-auc:0.702798 train-auc:1
[177] eval-auc:0.702957 train-auc:1
[178] eval-auc:0.70278 train-auc:1
[179] eval-auc:0.702644 train-auc:1
[180] eval-auc:0.702555 train-auc:1
[181] eval-auc:0.702378 train-auc:1
[182] eval-auc:0.70227 train-auc:1
[183] eval-auc:0.702245 train-auc:1
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[340] eval-auc:0.703389 train-auc:1
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[350] eval-auc:0.702862 train-auc:1
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[360] eval-auc:0.702882 train-auc:1
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[365] eval-auc:0.703039 train-auc:1
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[370] eval-auc:0.70334 train-auc:1
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[379] eval-auc:0.703225 train-auc:1
[380] eval-auc:0.703295 train-auc:1
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[383] eval-auc:0.703467 train-auc:1
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[395] eval-auc:0.703499 train-auc:1
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[397] eval-auc:0.703435 train-auc:1
[398] eval-auc:0.703485 train-auc:1
[399] eval-auc:0.70348 train-auc:1
[400] eval-auc:0.703604 train-auc:1
[401] eval-auc:0.70354 train-auc:1
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[403] eval-auc:0.703706 train-auc:1
[404] eval-auc:0.703652 train-auc:1
[405] eval-auc:0.703668 train-auc:1
[406] eval-auc:0.703823 train-auc:1
[407] eval-auc:0.703805 train-auc:1
[408] eval-auc:0.703846 train-auc:1
[409] eval-auc:0.70387 train-auc:1
[410] eval-auc:0.703911 train-auc:1
[411] eval-auc:0.703794 train-auc:1
[412] eval-auc:0.703624 train-auc:1
[413] eval-auc:0.70368 train-auc:1
[414] eval-auc:0.703774 train-auc:1
[415] eval-auc:0.703619 train-auc:1
[416] eval-auc:0.703675 train-auc:1
[417] eval-auc:0.703736 train-auc:1
[418] eval-auc:0.703758 train-auc:1
[419] eval-auc:0.70384 train-auc:1
[420] eval-auc:0.703761 train-auc:1
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[423] eval-auc:0.7038 train-auc:1
[424] eval-auc:0.70393 train-auc:1
[425] eval-auc:0.703867 train-auc:1
[426] eval-auc:0.703923 train-auc:1
[427] eval-auc:0.703895 train-auc:1
[428] eval-auc:0.703637 train-auc:1
[429] eval-auc:0.703675 train-auc:1
[430] eval-auc:0.703794 train-auc:1
[431] eval-auc:0.703765 train-auc:1
[432] eval-auc:0.703751 train-auc:1
[433] eval-auc:0.703753 train-auc:1
[434] eval-auc:0.703837 train-auc:1
[435] eval-auc:0.703835 train-auc:1
[436] eval-auc:0.703872 train-auc:1
[437] eval-auc:0.703802 train-auc:1
[438] eval-auc:0.703659 train-auc:1
[439] eval-auc:0.703625 train-auc:1
Score 0.7036250289320128
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.7000000000000001, 'eta': 0.15000000000000002, 'eval_metric': 'auc', 'gamma': 0.6000000000000001, 'max_depth': 5, 'min_child_weight': 2.0, 'n_estimators': 409.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.75, 'tree_method': 'exact'}
[0] eval-auc:0.631971 train-auc:0.70888
[1] eval-auc:0.646569 train-auc:0.735256
[2] eval-auc:0.649087 train-auc:0.75654
[3] eval-auc:0.657461 train-auc:0.769387
[4] eval-auc:0.678186 train-auc:0.795882
[5] eval-auc:0.67603 train-auc:0.799865
[6] eval-auc:0.681895 train-auc:0.807542
[7] eval-auc:0.68319 train-auc:0.817612
[8] eval-auc:0.688781 train-auc:0.826254
[9] eval-auc:0.691742 train-auc:0.831788
[10] eval-auc:0.692189 train-auc:0.839331
[11] eval-auc:0.696709 train-auc:0.842426
[12] eval-auc:0.694296 train-auc:0.841398
[13] eval-auc:0.69343 train-auc:0.840732
[14] eval-auc:0.696512 train-auc:0.845448
[15] eval-auc:0.695433 train-auc:0.849294
[16] eval-auc:0.691385 train-auc:0.851435
[17] eval-auc:0.696115 train-auc:0.86166
[18] eval-auc:0.695483 train-auc:0.864368
[19] eval-auc:0.694227 train-auc:0.86965
[20] eval-auc:0.694371 train-auc:0.870238
[21] eval-auc:0.693228 train-auc:0.872935
[22] eval-auc:0.694186 train-auc:0.87733
[23] eval-auc:0.693104 train-auc:0.882207
[24] eval-auc:0.692272 train-auc:0.888797
[25] eval-auc:0.694769 train-auc:0.893749
[26] eval-auc:0.693852 train-auc:0.894039
[27] eval-auc:0.693991 train-auc:0.898736
[28] eval-auc:0.694574 train-auc:0.901778
[29] eval-auc:0.690261 train-auc:0.905026
[30] eval-auc:0.692709 train-auc:0.908951
[31] eval-auc:0.691758 train-auc:0.911214
[32] eval-auc:0.688953 train-auc:0.914095
[33] eval-auc:0.689622 train-auc:0.916044
[34] eval-auc:0.689261 train-auc:0.916558
[35] eval-auc:0.691088 train-auc:0.918922
[36] eval-auc:0.690032 train-auc:0.921886
[37] eval-auc:0.690869 train-auc:0.923703
[38] eval-auc:0.692319 train-auc:0.925444
[39] eval-auc:0.691673 train-auc:0.928038
[40] eval-auc:0.692474 train-auc:0.929273
[41] eval-auc:0.692871 train-auc:0.932729
[42] eval-auc:0.69402 train-auc:0.935291
[43] eval-auc:0.694569 train-auc:0.936457
[44] eval-auc:0.696048 train-auc:0.937671
[45] eval-auc:0.695944 train-auc:0.938638
[46] eval-auc:0.695084 train-auc:0.939161
[47] eval-auc:0.695288 train-auc:0.939596
[48] eval-auc:0.695537 train-auc:0.940269
[49] eval-auc:0.696215 train-auc:0.941419
[50] eval-auc:0.695714 train-auc:0.943318
[51] eval-auc:0.69447 train-auc:0.944812
[52] eval-auc:0.69483 train-auc:0.945775
[53] eval-auc:0.696287 train-auc:0.94763
[54] eval-auc:0.697114 train-auc:0.948939
[55] eval-auc:0.698154 train-auc:0.951212
[56] eval-auc:0.696907 train-auc:0.952431
[57] eval-auc:0.697925 train-auc:0.953271
[58] eval-auc:0.698568 train-auc:0.953482
[59] eval-auc:0.698912 train-auc:0.95464
[60] eval-auc:0.699014 train-auc:0.955588
[61] eval-auc:0.698404 train-auc:0.956482
[62] eval-auc:0.698704 train-auc:0.957598
[63] eval-auc:0.697198 train-auc:0.958689
[64] eval-auc:0.697747 train-auc:0.959393
[65] eval-auc:0.697645 train-auc:0.959499
[66] eval-auc:0.6986 train-auc:0.960425
[67] eval-auc:0.698113 train-auc:0.961984
[68] eval-auc:0.698184 train-auc:0.962649
[69] eval-auc:0.698139 train-auc:0.963772
[70] eval-auc:0.698431 train-auc:0.964047
[71] eval-auc:0.698274 train-auc:0.965597
[72] eval-auc:0.698117 train-auc:0.966449
[73] eval-auc:0.698139 train-auc:0.967123
[74] eval-auc:0.698605 train-auc:0.968664
[75] eval-auc:0.698819 train-auc:0.969317
[76] eval-auc:0.69834 train-auc:0.969506
[77] eval-auc:0.698107 train-auc:0.970187
[78] eval-auc:0.696878 train-auc:0.970419
[79] eval-auc:0.696468 train-auc:0.970805
[80] eval-auc:0.696957 train-auc:0.971213
[81] eval-auc:0.697019 train-auc:0.971839
[82] eval-auc:0.696803 train-auc:0.971866
[83] eval-auc:0.696147 train-auc:0.972518
[84] eval-auc:0.696383 train-auc:0.973055
[85] eval-auc:0.695352 train-auc:0.973637
[86] eval-auc:0.695428 train-auc:0.97381
[87] eval-auc:0.696786 train-auc:0.97499
[88] eval-auc:0.696645 train-auc:0.976051
[89] eval-auc:0.69601 train-auc:0.976661
[90] eval-auc:0.695693 train-auc:0.977363
[91] eval-auc:0.69571 train-auc:0.977985
[92] eval-auc:0.695716 train-auc:0.978555
[93] eval-auc:0.695396 train-auc:0.97895
[94] eval-auc:0.695025 train-auc:0.979411
[95] eval-auc:0.694429 train-auc:0.980034
[96] eval-auc:0.693832 train-auc:0.980306
[97] eval-auc:0.694144 train-auc:0.980589
[98] eval-auc:0.6949 train-auc:0.980687
[99] eval-auc:0.694295 train-auc:0.981475
[100] eval-auc:0.69347 train-auc:0.98169
[101] eval-auc:0.692643 train-auc:0.982461
[102] eval-auc:0.692832 train-auc:0.983004
[103] eval-auc:0.693484 train-auc:0.983358
[104] eval-auc:0.693512 train-auc:0.98386
[105] eval-auc:0.691463 train-auc:0.983993
[106] eval-auc:0.69001 train-auc:0.984492
[107] eval-auc:0.68906 train-auc:0.984899
[108] eval-auc:0.688492 train-auc:0.985099
[109] eval-auc:0.689387 train-auc:0.985512
[110] eval-auc:0.689954 train-auc:0.985655
[111] eval-auc:0.68989 train-auc:0.985832
[112] eval-auc:0.689007 train-auc:0.985891
[113] eval-auc:0.68806 train-auc:0.985948
[114] eval-auc:0.687762 train-auc:0.986461
[115] eval-auc:0.687986 train-auc:0.986804
[116] eval-auc:0.687962 train-auc:0.987324
[117] eval-auc:0.686683 train-auc:0.987904
[118] eval-auc:0.686295 train-auc:0.987905
[119] eval-auc:0.686919 train-auc:0.98798
[120] eval-auc:0.687216 train-auc:0.988236
[121] eval-auc:0.687251 train-auc:0.988538
[122] eval-auc:0.686825 train-auc:0.988702
[123] eval-auc:0.686144 train-auc:0.989323
[124] eval-auc:0.687245 train-auc:0.989488
[125] eval-auc:0.687546 train-auc:0.989486
[126] eval-auc:0.687839 train-auc:0.989852
[127] eval-auc:0.68889 train-auc:0.990065
[128] eval-auc:0.689109 train-auc:0.990378
[129] eval-auc:0.689872 train-auc:0.990603
[130] eval-auc:0.689954 train-auc:0.990818
[131] eval-auc:0.689888 train-auc:0.990884
[132] eval-auc:0.69126 train-auc:0.990979
[133] eval-auc:0.691787 train-auc:0.991265
[134] eval-auc:0.692179 train-auc:0.991378
[135] eval-auc:0.692343 train-auc:0.991423
[136] eval-auc:0.692089 train-auc:0.99184
[137] eval-auc:0.692923 train-auc:0.991949
[138] eval-auc:0.693844 train-auc:0.992269
[139] eval-auc:0.693618 train-auc:0.992387
[140] eval-auc:0.694062 train-auc:0.992518
[141] eval-auc:0.694015 train-auc:0.992576
[142] eval-auc:0.694996 train-auc:0.992627
[143] eval-auc:0.69499 train-auc:0.992672
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[220] eval-auc:0.682601 train-auc:0.998489
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[222] eval-auc:0.683156 train-auc:0.998538
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[230] eval-auc:0.6833 train-auc:0.99883
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[240] eval-auc:0.681029 train-auc:0.999014
[241] eval-auc:0.682855 train-auc:0.999104
[242] eval-auc:0.683172 train-auc:0.999124
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[245] eval-auc:0.683954 train-auc:0.999131
[246] eval-auc:0.683804 train-auc:0.999172
[247] eval-auc:0.683258 train-auc:0.999176
[248] eval-auc:0.683596 train-auc:0.999229
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[250] eval-auc:0.6836 train-auc:0.999277
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[252] eval-auc:0.683408 train-auc:0.999308
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[258] eval-auc:0.682593 train-auc:0.999407
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[260] eval-auc:0.682812 train-auc:0.999448
[261] eval-auc:0.683003 train-auc:0.999478
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[263] eval-auc:0.682352 train-auc:0.999491
[264] eval-auc:0.682514 train-auc:0.999513
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[266] eval-auc:0.682628 train-auc:0.999508
[267] eval-auc:0.682054 train-auc:0.999524
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[269] eval-auc:0.682352 train-auc:0.999553
[270] eval-auc:0.682594 train-auc:0.99957
[271] eval-auc:0.683233 train-auc:0.999572
[272] eval-auc:0.683394 train-auc:0.99959
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[274] eval-auc:0.683973 train-auc:0.9996
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[276] eval-auc:0.682663 train-auc:0.99959
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[280] eval-auc:0.681443 train-auc:0.999621
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[295] eval-auc:0.680782 train-auc:0.999753
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[300] eval-auc:0.680895 train-auc:0.999777
[301] eval-auc:0.680668 train-auc:0.999788
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[303] eval-auc:0.680845 train-auc:0.999797
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[310] eval-auc:0.679905 train-auc:0.999815
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[312] eval-auc:0.679656 train-auc:0.999827
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[314] eval-auc:0.679194 train-auc:0.999853
[315] eval-auc:0.679357 train-auc:0.999855
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[317] eval-auc:0.679217 train-auc:0.999871
[318] eval-auc:0.679619 train-auc:0.999874
[319] eval-auc:0.679873 train-auc:0.999879
[320] eval-auc:0.679691 train-auc:0.999882
[321] eval-auc:0.679388 train-auc:0.999879
[322] eval-auc:0.679751 train-auc:0.999882
[323] eval-auc:0.679596 train-auc:0.999887
[324] eval-auc:0.679654 train-auc:0.999889
[325] eval-auc:0.679315 train-auc:0.999891
[326] eval-auc:0.679494 train-auc:0.999892
[327] eval-auc:0.679337 train-auc:0.999887
[328] eval-auc:0.679244 train-auc:0.999889
[329] eval-auc:0.678868 train-auc:0.999894
[330] eval-auc:0.678511 train-auc:0.999897
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[332] eval-auc:0.678556 train-auc:0.999901
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[352] eval-auc:0.679755 train-auc:0.999941
[353] eval-auc:0.682016 train-auc:0.999945
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[360] eval-auc:0.682016 train-auc:0.999946
[361] eval-auc:0.682005 train-auc:0.999945
[362] eval-auc:0.682346 train-auc:0.999949
[363] eval-auc:0.68192 train-auc:0.999947
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[366] eval-auc:0.682438 train-auc:0.999947
[367] eval-auc:0.682179 train-auc:0.99995
[368] eval-auc:0.682107 train-auc:0.99995
[369] eval-auc:0.681947 train-auc:0.999951
[370] eval-auc:0.681641 train-auc:0.999955
[371] eval-auc:0.682132 train-auc:0.999961
[372] eval-auc:0.682309 train-auc:0.999965
[373] eval-auc:0.682319 train-auc:0.999966
[374] eval-auc:0.682686 train-auc:0.999969
[375] eval-auc:0.682605 train-auc:0.999978
[376] eval-auc:0.682366 train-auc:0.999976
[377] eval-auc:0.682308 train-auc:0.999978
[378] eval-auc:0.682658 train-auc:0.999978
[379] eval-auc:0.682855 train-auc:0.999979
[380] eval-auc:0.683738 train-auc:0.99998
[381] eval-auc:0.683651 train-auc:0.999976
[382] eval-auc:0.683526 train-auc:0.999976
[383] eval-auc:0.683746 train-auc:0.999981
[384] eval-auc:0.683491 train-auc:0.999978
[385] eval-auc:0.683455 train-auc:0.999985
[386] eval-auc:0.682774 train-auc:0.999985
[387] eval-auc:0.683112 train-auc:0.999985
[388] eval-auc:0.682345 train-auc:0.999983
[389] eval-auc:0.682943 train-auc:0.999985
[390] eval-auc:0.682639 train-auc:0.999986
[391] eval-auc:0.683053 train-auc:0.999988
[392] eval-auc:0.682863 train-auc:0.999987
[393] eval-auc:0.682435 train-auc:0.999991
[394] eval-auc:0.682279 train-auc:0.999992
[395] eval-auc:0.681918 train-auc:0.999992
[396] eval-auc:0.681618 train-auc:0.999991
[397] eval-auc:0.681851 train-auc:0.999989
[398] eval-auc:0.681526 train-auc:0.999991
[399] eval-auc:0.681754 train-auc:0.99999
[400] eval-auc:0.6815 train-auc:0.999991
[401] eval-auc:0.681786 train-auc:0.999992
[402] eval-auc:0.681702 train-auc:0.999991
[403] eval-auc:0.681772 train-auc:0.999991
[404] eval-auc:0.682311 train-auc:0.999993
[405] eval-auc:0.681688 train-auc:0.999993
[406] eval-auc:0.681769 train-auc:0.999992
[407] eval-auc:0.681399 train-auc:0.999995
[408] eval-auc:0.681262 train-auc:0.999995
Score 0.681262105763257
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9500000000000001, 'eta': 0.07500000000000001, 'eval_metric': 'auc', 'gamma': 0.55, 'max_depth': 2, 'min_child_weight': 5.0, 'n_estimators': 103.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.8, 'tree_method': 'exact'}
[0] eval-auc:0.670464 train-auc:0.689717
[1] eval-auc:0.669114 train-auc:0.690248
[2] eval-auc:0.667529 train-auc:0.692519
[3] eval-auc:0.692924 train-auc:0.71413
[4] eval-auc:0.69171 train-auc:0.716716
[5] eval-auc:0.694631 train-auc:0.709104
[6] eval-auc:0.693943 train-auc:0.711395
[7] eval-auc:0.69318 train-auc:0.713452
[8] eval-auc:0.694672 train-auc:0.715092
[9] eval-auc:0.695533 train-auc:0.715485
[10] eval-auc:0.694669 train-auc:0.715843
[11] eval-auc:0.694457 train-auc:0.715702
[12] eval-auc:0.69417 train-auc:0.717878
[13] eval-auc:0.694854 train-auc:0.718293
[14] eval-auc:0.694748 train-auc:0.717749
[15] eval-auc:0.696253 train-auc:0.718765
[16] eval-auc:0.696519 train-auc:0.719786
[17] eval-auc:0.697064 train-auc:0.717028
[18] eval-auc:0.696491 train-auc:0.714765
[19] eval-auc:0.696117 train-auc:0.715977
[20] eval-auc:0.696324 train-auc:0.717649
[21] eval-auc:0.697122 train-auc:0.717997
[22] eval-auc:0.697569 train-auc:0.719558
[23] eval-auc:0.700481 train-auc:0.721898
[24] eval-auc:0.700897 train-auc:0.721244
[25] eval-auc:0.699544 train-auc:0.723844
[26] eval-auc:0.69983 train-auc:0.722718
[27] eval-auc:0.698283 train-auc:0.721567
[28] eval-auc:0.698305 train-auc:0.724
[29] eval-auc:0.699587 train-auc:0.726158
[30] eval-auc:0.69907 train-auc:0.727169
[31] eval-auc:0.698691 train-auc:0.726491
[32] eval-auc:0.699878 train-auc:0.726442
[33] eval-auc:0.700151 train-auc:0.725839
[34] eval-auc:0.699831 train-auc:0.726878
[35] eval-auc:0.700817 train-auc:0.727645
[36] eval-auc:0.700989 train-auc:0.726589
[37] eval-auc:0.701755 train-auc:0.727754
[38] eval-auc:0.702481 train-auc:0.727361
[39] eval-auc:0.702896 train-auc:0.727988
[40] eval-auc:0.702293 train-auc:0.728891
[41] eval-auc:0.702453 train-auc:0.72909
[42] eval-auc:0.703402 train-auc:0.730051
[43] eval-auc:0.703075 train-auc:0.731087
[44] eval-auc:0.702854 train-auc:0.731259
[45] eval-auc:0.702978 train-auc:0.731299
[46] eval-auc:0.702376 train-auc:0.73201
[47] eval-auc:0.702788 train-auc:0.732899
[48] eval-auc:0.703019 train-auc:0.733472
[49] eval-auc:0.70214 train-auc:0.732738
[50] eval-auc:0.701819 train-auc:0.734039
[51] eval-auc:0.701626 train-auc:0.733348
[52] eval-auc:0.701674 train-auc:0.733643
[53] eval-auc:0.702075 train-auc:0.733951
[54] eval-auc:0.702609 train-auc:0.73458
[55] eval-auc:0.702535 train-auc:0.735662
[56] eval-auc:0.702895 train-auc:0.735879
[57] eval-auc:0.703025 train-auc:0.73688
[58] eval-auc:0.702981 train-auc:0.736997
[59] eval-auc:0.702434 train-auc:0.736523
[60] eval-auc:0.703203 train-auc:0.736887
[61] eval-auc:0.703199 train-auc:0.736654
[62] eval-auc:0.703445 train-auc:0.736678
[63] eval-auc:0.703304 train-auc:0.736355
[64] eval-auc:0.703338 train-auc:0.73676
[65] eval-auc:0.703395 train-auc:0.737028
[66] eval-auc:0.703744 train-auc:0.737047
[67] eval-auc:0.704093 train-auc:0.736808
[68] eval-auc:0.705273 train-auc:0.738062
[69] eval-auc:0.70416 train-auc:0.739118
[70] eval-auc:0.703705 train-auc:0.740032
[71] eval-auc:0.704475 train-auc:0.739995
[72] eval-auc:0.704775 train-auc:0.740929
[73] eval-auc:0.704191 train-auc:0.74113
[74] eval-auc:0.704509 train-auc:0.740648
[75] eval-auc:0.704125 train-auc:0.740172
[76] eval-auc:0.703457 train-auc:0.740981
[77] eval-auc:0.702169 train-auc:0.741832
[78] eval-auc:0.702039 train-auc:0.74264
[79] eval-auc:0.702719 train-auc:0.743118
[80] eval-auc:0.702512 train-auc:0.743632
[81] eval-auc:0.701964 train-auc:0.743453
[82] eval-auc:0.702088 train-auc:0.743161
[83] eval-auc:0.70189 train-auc:0.743122
[84] eval-auc:0.701873 train-auc:0.743924
[85] eval-auc:0.701908 train-auc:0.74415
[86] eval-auc:0.701794 train-auc:0.744167
[87] eval-auc:0.701292 train-auc:0.745059
[88] eval-auc:0.700598 train-auc:0.745799
[89] eval-auc:0.70082 train-auc:0.746158
[90] eval-auc:0.70056 train-auc:0.745936
[91] eval-auc:0.699863 train-auc:0.746237
[92] eval-auc:0.699476 train-auc:0.746913
[93] eval-auc:0.699715 train-auc:0.747015
[94] eval-auc:0.700295 train-auc:0.747493
[95] eval-auc:0.700545 train-auc:0.748118
[96] eval-auc:0.700754 train-auc:0.748664
[97] eval-auc:0.700982 train-auc:0.749064
[98] eval-auc:0.700902 train-auc:0.749239
[99] eval-auc:0.70058 train-auc:0.749895
[100] eval-auc:0.701015 train-auc:0.750023
[101] eval-auc:0.701479 train-auc:0.749989
[102] eval-auc:0.701559 train-auc:0.750166
Score 0.7015586741219895
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8, 'eta': 0.325, 'eval_metric': 'auc', 'gamma': 0.7000000000000001, 'max_depth': 6, 'min_child_weight': 3.0, 'n_estimators': 671.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.8500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.631743 train-auc:0.729683
[1] eval-auc:0.647134 train-auc:0.778039
[2] eval-auc:0.647125 train-auc:0.80724
[3] eval-auc:0.653909 train-auc:0.822673
[4] eval-auc:0.67681 train-auc:0.851628
[5] eval-auc:0.681279 train-auc:0.867632
[6] eval-auc:0.683957 train-auc:0.875943
[7] eval-auc:0.684636 train-auc:0.885093
[8] eval-auc:0.692795 train-auc:0.896006
[9] eval-auc:0.69394 train-auc:0.902928
[10] eval-auc:0.704504 train-auc:0.91372
[11] eval-auc:0.704673 train-auc:0.916247
[12] eval-auc:0.701518 train-auc:0.921751
[13] eval-auc:0.700286 train-auc:0.926926
[14] eval-auc:0.699463 train-auc:0.934951
[15] eval-auc:0.692409 train-auc:0.940579
[16] eval-auc:0.692611 train-auc:0.942582
[17] eval-auc:0.693251 train-auc:0.946729
[18] eval-auc:0.69008 train-auc:0.948822
[19] eval-auc:0.692268 train-auc:0.952813
[20] eval-auc:0.692086 train-auc:0.956263
[21] eval-auc:0.692575 train-auc:0.960975
[22] eval-auc:0.692505 train-auc:0.962731
[23] eval-auc:0.696304 train-auc:0.965379
[24] eval-auc:0.697512 train-auc:0.968691
[25] eval-auc:0.697153 train-auc:0.970064
[26] eval-auc:0.693734 train-auc:0.972267
[27] eval-auc:0.695461 train-auc:0.975092
[28] eval-auc:0.697156 train-auc:0.976865
[29] eval-auc:0.697137 train-auc:0.977464
[30] eval-auc:0.695295 train-auc:0.979164
[31] eval-auc:0.695307 train-auc:0.979502
[32] eval-auc:0.693698 train-auc:0.980624
[33] eval-auc:0.693523 train-auc:0.982621
[34] eval-auc:0.693241 train-auc:0.983337
[35] eval-auc:0.694179 train-auc:0.985372
[36] eval-auc:0.694228 train-auc:0.985883
[37] eval-auc:0.692811 train-auc:0.986641
[38] eval-auc:0.692214 train-auc:0.98771
[39] eval-auc:0.692992 train-auc:0.988391
[40] eval-auc:0.69516 train-auc:0.989415
[41] eval-auc:0.695063 train-auc:0.990079
[42] eval-auc:0.695727 train-auc:0.990949
[43] eval-auc:0.696913 train-auc:0.991493
[44] eval-auc:0.696354 train-auc:0.991717
[45] eval-auc:0.695909 train-auc:0.992043
[46] eval-auc:0.696803 train-auc:0.992797
[47] eval-auc:0.696377 train-auc:0.993195
[48] eval-auc:0.695268 train-auc:0.993782
[49] eval-auc:0.695583 train-auc:0.994316
[50] eval-auc:0.694352 train-auc:0.994331
[51] eval-auc:0.691436 train-auc:0.994807
[52] eval-auc:0.691531 train-auc:0.994961
[53] eval-auc:0.691656 train-auc:0.995253
[54] eval-auc:0.690598 train-auc:0.995537
[55] eval-auc:0.689578 train-auc:0.99556
[56] eval-auc:0.690374 train-auc:0.996023
[57] eval-auc:0.688361 train-auc:0.996107
[58] eval-auc:0.687525 train-auc:0.996194
[59] eval-auc:0.687585 train-auc:0.996267
[60] eval-auc:0.687927 train-auc:0.996471
[61] eval-auc:0.686157 train-auc:0.996774
[62] eval-auc:0.685692 train-auc:0.997075
[63] eval-auc:0.686391 train-auc:0.997177
[64] eval-auc:0.68654 train-auc:0.997337
[65] eval-auc:0.686394 train-auc:0.997419
[66] eval-auc:0.685463 train-auc:0.99747
[67] eval-auc:0.684303 train-auc:0.997685
[68] eval-auc:0.684516 train-auc:0.997649
[69] eval-auc:0.684353 train-auc:0.997748
[70] eval-auc:0.684527 train-auc:0.99799
[71] eval-auc:0.684262 train-auc:0.997999
[72] eval-auc:0.683465 train-auc:0.998131
[73] eval-auc:0.683012 train-auc:0.998293
[74] eval-auc:0.6819 train-auc:0.998409
[75] eval-auc:0.683427 train-auc:0.998459
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[77] eval-auc:0.682135 train-auc:0.998554
[78] eval-auc:0.681628 train-auc:0.99866
[79] eval-auc:0.682387 train-auc:0.998828
[80] eval-auc:0.682189 train-auc:0.998881
[81] eval-auc:0.682265 train-auc:0.998902
[82] eval-auc:0.681991 train-auc:0.998913
[83] eval-auc:0.682813 train-auc:0.998986
[84] eval-auc:0.683424 train-auc:0.999024
[85] eval-auc:0.682285 train-auc:0.999202
[86] eval-auc:0.683201 train-auc:0.999259
[87] eval-auc:0.682317 train-auc:0.999273
[88] eval-auc:0.682008 train-auc:0.999393
[89] eval-auc:0.682138 train-auc:0.999413
[90] eval-auc:0.68144 train-auc:0.999454
[91] eval-auc:0.679732 train-auc:0.99946
[92] eval-auc:0.679188 train-auc:0.999465
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[94] eval-auc:0.678197 train-auc:0.99951
[95] eval-auc:0.679185 train-auc:0.99947
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[100] eval-auc:0.679674 train-auc:0.999642
[101] eval-auc:0.679185 train-auc:0.999668
[102] eval-auc:0.680493 train-auc:0.999669
[103] eval-auc:0.680126 train-auc:0.999685
[104] eval-auc:0.680749 train-auc:0.999709
[105] eval-auc:0.680189 train-auc:0.999694
[106] eval-auc:0.680373 train-auc:0.999715
[107] eval-auc:0.679858 train-auc:0.999733
[108] eval-auc:0.679257 train-auc:0.999758
[109] eval-auc:0.678247 train-auc:0.999778
[110] eval-auc:0.678544 train-auc:0.999799
[111] eval-auc:0.679153 train-auc:0.999827
[112] eval-auc:0.678363 train-auc:0.999841
[113] eval-auc:0.678998 train-auc:0.999842
[114] eval-auc:0.679476 train-auc:0.999846
[115] eval-auc:0.678326 train-auc:0.999831
[116] eval-auc:0.679653 train-auc:0.999848
[117] eval-auc:0.679819 train-auc:0.999874
[118] eval-auc:0.679398 train-auc:0.999894
[119] eval-auc:0.679664 train-auc:0.999911
[120] eval-auc:0.678491 train-auc:0.999919
[121] eval-auc:0.679857 train-auc:0.999921
[122] eval-auc:0.679748 train-auc:0.99992
[123] eval-auc:0.680003 train-auc:0.999946
[124] eval-auc:0.680336 train-auc:0.999955
[125] eval-auc:0.679745 train-auc:0.999971
[126] eval-auc:0.680569 train-auc:0.999984
[127] eval-auc:0.680897 train-auc:0.999987
[128] eval-auc:0.68287 train-auc:0.999989
[129] eval-auc:0.682448 train-auc:0.99999
[130] eval-auc:0.68271 train-auc:0.99999
[131] eval-auc:0.681787 train-auc:0.999989
[132] eval-auc:0.681998 train-auc:0.999991
[133] eval-auc:0.682477 train-auc:0.999992
[134] eval-auc:0.682069 train-auc:0.999994
[135] eval-auc:0.68127 train-auc:0.999994
[136] eval-auc:0.681276 train-auc:0.999995
[137] eval-auc:0.681908 train-auc:0.999995
[138] eval-auc:0.682118 train-auc:0.999995
[139] eval-auc:0.681943 train-auc:0.999995
[140] eval-auc:0.680938 train-auc:0.999996
[141] eval-auc:0.680633 train-auc:0.999995
[142] eval-auc:0.680044 train-auc:0.999997
[143] eval-auc:0.679685 train-auc:0.999998
[144] eval-auc:0.68007 train-auc:0.999999
[145] eval-auc:0.680228 train-auc:0.999999
[146] eval-auc:0.679963 train-auc:1
[147] eval-auc:0.679674 train-auc:1
[148] eval-auc:0.679858 train-auc:1
[149] eval-auc:0.679943 train-auc:1
[150] eval-auc:0.679889 train-auc:1
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[154] eval-auc:0.681772 train-auc:1
[155] eval-auc:0.681311 train-auc:1
[156] eval-auc:0.680999 train-auc:1
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[159] eval-auc:0.680604 train-auc:1
[160] eval-auc:0.679914 train-auc:1
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[163] eval-auc:0.677652 train-auc:1
[164] eval-auc:0.677127 train-auc:1
[165] eval-auc:0.67661 train-auc:1
[166] eval-auc:0.676536 train-auc:1
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[170] eval-auc:0.676041 train-auc:1
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[172] eval-auc:0.676432 train-auc:1
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[174] eval-auc:0.676222 train-auc:1
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[180] eval-auc:0.675508 train-auc:1
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[194] eval-auc:0.678229 train-auc:1
[195] eval-auc:0.677378 train-auc:1
[196] eval-auc:0.676915 train-auc:1
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[200] eval-auc:0.676651 train-auc:1
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[206] eval-auc:0.675954 train-auc:1
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[448] eval-auc:0.671077 train-auc:1
[449] eval-auc:0.670903 train-auc:1
[450] eval-auc:0.670903 train-auc:1
[451] eval-auc:0.670777 train-auc:1
[452] eval-auc:0.671151 train-auc:1
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[460] eval-auc:0.671239 train-auc:1
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[468] eval-auc:0.670907 train-auc:1
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[474] eval-auc:0.6713 train-auc:1
[475] eval-auc:0.671421 train-auc:1
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[480] eval-auc:0.671051 train-auc:1
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[493] eval-auc:0.670895 train-auc:1
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[504] eval-auc:0.6703 train-auc:1
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[506] eval-auc:0.670608 train-auc:1
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[510] eval-auc:0.670723 train-auc:1
[511] eval-auc:0.670723 train-auc:1
[512] eval-auc:0.670848 train-auc:1
[513] eval-auc:0.670848 train-auc:1
[514] eval-auc:0.670848 train-auc:1
[515] eval-auc:0.67088 train-auc:1
[516] eval-auc:0.67116 train-auc:1
[517] eval-auc:0.67116 train-auc:1
[518] eval-auc:0.67116 train-auc:1
[519] eval-auc:0.67116 train-auc:1
[520] eval-auc:0.67116 train-auc:1
[521] eval-auc:0.671189 train-auc:1
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[524] eval-auc:0.671605 train-auc:1
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[530] eval-auc:0.671803 train-auc:1
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[538] eval-auc:0.671207 train-auc:1
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[540] eval-auc:0.671207 train-auc:1
[541] eval-auc:0.671232 train-auc:1
[542] eval-auc:0.671291 train-auc:1
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[545] eval-auc:0.671842 train-auc:1
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[547] eval-auc:0.671728 train-auc:1
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[550] eval-auc:0.67178 train-auc:1
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[553] eval-auc:0.671696 train-auc:1
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[555] eval-auc:0.671398 train-auc:1
[556] eval-auc:0.671398 train-auc:1
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[558] eval-auc:0.671606 train-auc:1
[559] eval-auc:0.671606 train-auc:1
[560] eval-auc:0.671606 train-auc:1
[561] eval-auc:0.671596 train-auc:1
[562] eval-auc:0.671491 train-auc:1
[563] eval-auc:0.671246 train-auc:1
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[566] eval-auc:0.671133 train-auc:1
[567] eval-auc:0.670915 train-auc:1
[568] eval-auc:0.670915 train-auc:1
[569] eval-auc:0.670915 train-auc:1
[570] eval-auc:0.670938 train-auc:1
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[572] eval-auc:0.670542 train-auc:1
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[574] eval-auc:0.670595 train-auc:1
[575] eval-auc:0.670595 train-auc:1
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[577] eval-auc:0.670595 train-auc:1
[578] eval-auc:0.670772 train-auc:1
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[580] eval-auc:0.670802 train-auc:1
[581] eval-auc:0.670802 train-auc:1
[582] eval-auc:0.670802 train-auc:1
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[584] eval-auc:0.670816 train-auc:1
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[589] eval-auc:0.670553 train-auc:1
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[596] eval-auc:0.670547 train-auc:1
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[600] eval-auc:0.670457 train-auc:1
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[602] eval-auc:0.670608 train-auc:1
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[604] eval-auc:0.670717 train-auc:1
[605] eval-auc:0.670656 train-auc:1
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[607] eval-auc:0.670416 train-auc:1
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[609] eval-auc:0.670035 train-auc:1
[610] eval-auc:0.670035 train-auc:1
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[617] eval-auc:0.670084 train-auc:1
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[620] eval-auc:0.674264 train-auc:1
[621] eval-auc:0.673979 train-auc:1
[622] eval-auc:0.673979 train-auc:1
[623] eval-auc:0.673979 train-auc:1
[624] eval-auc:0.673979 train-auc:1
[625] eval-auc:0.673979 train-auc:1
[626] eval-auc:0.673979 train-auc:1
[627] eval-auc:0.673979 train-auc:1
[628] eval-auc:0.673979 train-auc:1
[629] eval-auc:0.673979 train-auc:1
[630] eval-auc:0.673979 train-auc:1
[631] eval-auc:0.673979 train-auc:1
[632] eval-auc:0.673979 train-auc:1
[633] eval-auc:0.673979 train-auc:1
[634] eval-auc:0.673968 train-auc:1
[635] eval-auc:0.673968 train-auc:1
[636] eval-auc:0.673968 train-auc:1
[637] eval-auc:0.673968 train-auc:1
[638] eval-auc:0.673968 train-auc:1
[639] eval-auc:0.673891 train-auc:1
[640] eval-auc:0.673891 train-auc:1
[641] eval-auc:0.673891 train-auc:1
[642] eval-auc:0.673683 train-auc:1
[643] eval-auc:0.673683 train-auc:1
[644] eval-auc:0.673683 train-auc:1
[645] eval-auc:0.673638 train-auc:1
[646] eval-auc:0.673743 train-auc:1
[647] eval-auc:0.673712 train-auc:1
[648] eval-auc:0.673712 train-auc:1
[649] eval-auc:0.673682 train-auc:1
[650] eval-auc:0.673682 train-auc:1
[651] eval-auc:0.673682 train-auc:1
[652] eval-auc:0.673819 train-auc:1
[653] eval-auc:0.673819 train-auc:1
[654] eval-auc:0.673819 train-auc:1
[655] eval-auc:0.673985 train-auc:1
[656] eval-auc:0.674358 train-auc:1
[657] eval-auc:0.674358 train-auc:1
[658] eval-auc:0.67439 train-auc:1
[659] eval-auc:0.67439 train-auc:1
[660] eval-auc:0.67439 train-auc:1
[661] eval-auc:0.67439 train-auc:1
[662] eval-auc:0.67439 train-auc:1
[663] eval-auc:0.674233 train-auc:1
[664] eval-auc:0.674233 train-auc:1
[665] eval-auc:0.674082 train-auc:1
[666] eval-auc:0.674082 train-auc:1
[667] eval-auc:0.674073 train-auc:1
[668] eval-auc:0.674073 train-auc:1
[669] eval-auc:0.674073 train-auc:1
[670] eval-auc:0.674073 train-auc:1
Score 0.6740732619473986
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.6000000000000001, 'eta': 0.025, 'eval_metric': 'auc', 'gamma': 1.0, 'max_depth': 13, 'min_child_weight': 4.0, 'n_estimators': 617.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9, 'tree_method': 'exact'}
[0] eval-auc:0.516593 train-auc:0.768234
[1] eval-auc:0.601743 train-auc:0.90761
[2] eval-auc:0.576286 train-auc:0.920236
[3] eval-auc:0.591807 train-auc:0.951789
[4] eval-auc:0.612351 train-auc:0.959578
[5] eval-auc:0.611398 train-auc:0.976907
[6] eval-auc:0.629698 train-auc:0.980488
[7] eval-auc:0.628684 train-auc:0.978916
[8] eval-auc:0.6385 train-auc:0.985382
[9] eval-auc:0.650911 train-auc:0.988963
[10] eval-auc:0.646923 train-auc:0.99172
[11] eval-auc:0.64463 train-auc:0.99301
[12] eval-auc:0.651324 train-auc:0.993784
[13] eval-auc:0.652287 train-auc:0.99492
[14] eval-auc:0.651194 train-auc:0.995725
[15] eval-auc:0.64444 train-auc:0.996671
[16] eval-auc:0.643676 train-auc:0.997249
[17] eval-auc:0.657809 train-auc:0.99787
[18] eval-auc:0.656224 train-auc:0.998283
[19] eval-auc:0.663286 train-auc:0.998488
[20] eval-auc:0.663757 train-auc:0.998579
[21] eval-auc:0.666086 train-auc:0.998573
[22] eval-auc:0.669263 train-auc:0.998764
[23] eval-auc:0.668983 train-auc:0.998825
[24] eval-auc:0.670375 train-auc:0.998968
[25] eval-auc:0.667486 train-auc:0.998991
[26] eval-auc:0.66797 train-auc:0.9992
[27] eval-auc:0.666385 train-auc:0.999223
[28] eval-auc:0.666957 train-auc:0.999227
[29] eval-auc:0.667571 train-auc:0.999183
[30] eval-auc:0.666802 train-auc:0.999379
[31] eval-auc:0.667859 train-auc:0.999409
[32] eval-auc:0.667332 train-auc:0.999403
[33] eval-auc:0.66652 train-auc:0.99941
[34] eval-auc:0.66572 train-auc:0.999488
[35] eval-auc:0.666035 train-auc:0.999572
[36] eval-auc:0.666886 train-auc:0.999568
[37] eval-auc:0.664827 train-auc:0.999576
[38] eval-auc:0.662828 train-auc:0.999608
[39] eval-auc:0.663441 train-auc:0.999659
[40] eval-auc:0.663321 train-auc:0.999664
[41] eval-auc:0.661581 train-auc:0.999665
[42] eval-auc:0.661326 train-auc:0.999653
[43] eval-auc:0.662487 train-auc:0.999676
[44] eval-auc:0.662674 train-auc:0.999685
[45] eval-auc:0.662926 train-auc:0.999713
[46] eval-auc:0.662738 train-auc:0.999739
[47] eval-auc:0.665515 train-auc:0.999775
[48] eval-auc:0.666609 train-auc:0.999798
[49] eval-auc:0.667591 train-auc:0.999812
[50] eval-auc:0.667008 train-auc:0.999833
[51] eval-auc:0.66711 train-auc:0.999815
[52] eval-auc:0.666632 train-auc:0.999846
[53] eval-auc:0.665511 train-auc:0.999854
[54] eval-auc:0.667242 train-auc:0.999898
[55] eval-auc:0.66578 train-auc:0.999912
[56] eval-auc:0.665227 train-auc:0.999911
[57] eval-auc:0.665266 train-auc:0.999909
[58] eval-auc:0.665878 train-auc:0.999915
[59] eval-auc:0.669284 train-auc:0.999926
[60] eval-auc:0.668971 train-auc:0.999936
[61] eval-auc:0.668293 train-auc:0.999941
[62] eval-auc:0.668742 train-auc:0.999942
[63] eval-auc:0.671477 train-auc:0.999958
[64] eval-auc:0.6712 train-auc:0.999957
[65] eval-auc:0.669738 train-auc:0.999958
[66] eval-auc:0.669586 train-auc:0.999957
[67] eval-auc:0.668926 train-auc:0.999961
[68] eval-auc:0.668033 train-auc:0.999964
[69] eval-auc:0.667562 train-auc:0.999968
[70] eval-auc:0.668492 train-auc:0.99997
[71] eval-auc:0.667718 train-auc:0.99997
[72] eval-auc:0.66737 train-auc:0.99997
[73] eval-auc:0.666129 train-auc:0.999973
[74] eval-auc:0.665357 train-auc:0.999974
[75] eval-auc:0.664229 train-auc:0.999979
[76] eval-auc:0.663991 train-auc:0.999982
[77] eval-auc:0.66335 train-auc:0.999977
[78] eval-auc:0.663301 train-auc:0.999979
[79] eval-auc:0.6625 train-auc:0.99998
[80] eval-auc:0.661419 train-auc:0.999983
[81] eval-auc:0.662677 train-auc:0.999984
[82] eval-auc:0.662663 train-auc:0.999986
[83] eval-auc:0.662108 train-auc:0.999987
[84] eval-auc:0.663096 train-auc:0.999989
[85] eval-auc:0.662357 train-auc:0.999989
[86] eval-auc:0.664023 train-auc:0.99999
[87] eval-auc:0.665482 train-auc:0.999993
[88] eval-auc:0.664292 train-auc:0.999994
[89] eval-auc:0.664092 train-auc:0.999994
[90] eval-auc:0.663614 train-auc:0.999995
[91] eval-auc:0.664422 train-auc:0.999995
[92] eval-auc:0.664276 train-auc:0.999994
[93] eval-auc:0.66332 train-auc:0.999993
[94] eval-auc:0.663279 train-auc:0.999992
[95] eval-auc:0.665631 train-auc:0.999995
[96] eval-auc:0.665686 train-auc:0.999994
[97] eval-auc:0.665826 train-auc:0.999995
[98] eval-auc:0.665339 train-auc:0.999994
[99] eval-auc:0.664675 train-auc:0.999996
[100] eval-auc:0.66526 train-auc:0.999996
[101] eval-auc:0.664878 train-auc:0.999996
[102] eval-auc:0.665206 train-auc:0.999996
[103] eval-auc:0.666382 train-auc:0.999996
[104] eval-auc:0.666231 train-auc:0.999997
[105] eval-auc:0.665908 train-auc:0.999998
[106] eval-auc:0.666667 train-auc:0.999998
[107] eval-auc:0.66658 train-auc:0.999998
[108] eval-auc:0.665852 train-auc:0.999999
[109] eval-auc:0.667288 train-auc:0.999998
[110] eval-auc:0.669911 train-auc:0.999999
[111] eval-auc:0.668914 train-auc:0.999999
[112] eval-auc:0.668625 train-auc:0.999999
[113] eval-auc:0.66891 train-auc:0.999999
[114] eval-auc:0.66876 train-auc:0.999999
[115] eval-auc:0.669627 train-auc:0.999999
[116] eval-auc:0.671481 train-auc:0.999998
[117] eval-auc:0.671536 train-auc:0.999998
[118] eval-auc:0.671503 train-auc:0.999999
[119] eval-auc:0.671871 train-auc:0.999999
[120] eval-auc:0.672016 train-auc:0.999999
[121] eval-auc:0.672547 train-auc:0.999999
[122] eval-auc:0.67434 train-auc:0.999999
[123] eval-auc:0.674195 train-auc:0.999999
[124] eval-auc:0.674291 train-auc:0.999999
[125] eval-auc:0.674491 train-auc:0.999999
[126] eval-auc:0.676379 train-auc:1
[127] eval-auc:0.67635 train-auc:1
[128] eval-auc:0.67643 train-auc:1
[129] eval-auc:0.676691 train-auc:1
[130] eval-auc:0.676712 train-auc:1
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[573] eval-auc:0.687725 train-auc:1
[574] eval-auc:0.687723 train-auc:1
[575] eval-auc:0.687615 train-auc:1
[576] eval-auc:0.687642 train-auc:1
[577] eval-auc:0.687463 train-auc:1
[578] eval-auc:0.687476 train-auc:1
[579] eval-auc:0.687486 train-auc:1
[580] eval-auc:0.6874 train-auc:1
[581] eval-auc:0.687519 train-auc:1
[582] eval-auc:0.68744 train-auc:1
[583] eval-auc:0.687522 train-auc:1
[584] eval-auc:0.687554 train-auc:1
[585] eval-auc:0.687615 train-auc:1
[586] eval-auc:0.687546 train-auc:1
[587] eval-auc:0.687536 train-auc:1
[588] eval-auc:0.687486 train-auc:1
[589] eval-auc:0.687467 train-auc:1
[590] eval-auc:0.687336 train-auc:1
[591] eval-auc:0.687233 train-auc:1
[592] eval-auc:0.687157 train-auc:1
[593] eval-auc:0.687047 train-auc:1
[594] eval-auc:0.68702 train-auc:1
[595] eval-auc:0.687166 train-auc:1
[596] eval-auc:0.687403 train-auc:1
[597] eval-auc:0.687441 train-auc:1
[598] eval-auc:0.687578 train-auc:1
[599] eval-auc:0.68768 train-auc:1
[600] eval-auc:0.687565 train-auc:1
[601] eval-auc:0.687805 train-auc:1
[602] eval-auc:0.688206 train-auc:1
[603] eval-auc:0.688137 train-auc:1
[604] eval-auc:0.688058 train-auc:1
[605] eval-auc:0.688121 train-auc:1
[606] eval-auc:0.688104 train-auc:1
[607] eval-auc:0.688044 train-auc:1
[608] eval-auc:0.68802 train-auc:1
[609] eval-auc:0.687953 train-auc:1
[610] eval-auc:0.688028 train-auc:1
[611] eval-auc:0.688018 train-auc:1
[612] eval-auc:0.687912 train-auc:1
[613] eval-auc:0.68809 train-auc:1
[614] eval-auc:0.687903 train-auc:1
[615] eval-auc:0.687795 train-auc:1
[616] eval-auc:0.687907 train-auc:1
Score 0.6879073322856899
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8500000000000001, 'eta': 0.05, 'eval_metric': 'auc', 'gamma': 0.8500000000000001, 'max_depth': 1, 'min_child_weight': 2.0, 'n_estimators': 564.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.637627 train-auc:0.641495
[1] eval-auc:0.6691 train-auc:0.677286
[2] eval-auc:0.6691 train-auc:0.677286
[3] eval-auc:0.704578 train-auc:0.70064
[4] eval-auc:0.704578 train-auc:0.70064
[5] eval-auc:0.704578 train-auc:0.70064
[6] eval-auc:0.704578 train-auc:0.70064
[7] eval-auc:0.704578 train-auc:0.70064
[8] eval-auc:0.704578 train-auc:0.70064
[9] eval-auc:0.704578 train-auc:0.70064
[10] eval-auc:0.704578 train-auc:0.70064
[11] eval-auc:0.704578 train-auc:0.70064
[12] eval-auc:0.704578 train-auc:0.70064
[13] eval-auc:0.704578 train-auc:0.70064
[14] eval-auc:0.704578 train-auc:0.70064
[15] eval-auc:0.704578 train-auc:0.70064
[16] eval-auc:0.697034 train-auc:0.698654
[17] eval-auc:0.697034 train-auc:0.698654
[18] eval-auc:0.697034 train-auc:0.698654
[19] eval-auc:0.697034 train-auc:0.698654
[20] eval-auc:0.697034 train-auc:0.698654
[21] eval-auc:0.697034 train-auc:0.698654
[22] eval-auc:0.697034 train-auc:0.698654
[23] eval-auc:0.697034 train-auc:0.698654
[24] eval-auc:0.697034 train-auc:0.698654
[25] eval-auc:0.697034 train-auc:0.698654
[26] eval-auc:0.697144 train-auc:0.698895
[27] eval-auc:0.696933 train-auc:0.698788
[28] eval-auc:0.697144 train-auc:0.698895
[29] eval-auc:0.697144 train-auc:0.698895
[30] eval-auc:0.705646 train-auc:0.70112
[31] eval-auc:0.705553 train-auc:0.701111
[32] eval-auc:0.705553 train-auc:0.701111
[33] eval-auc:0.698592 train-auc:0.699198
[34] eval-auc:0.698591 train-auc:0.699195
[35] eval-auc:0.698592 train-auc:0.699198
[36] eval-auc:0.698591 train-auc:0.699195
[37] eval-auc:0.698591 train-auc:0.699195
[38] eval-auc:0.699835 train-auc:0.699586
[39] eval-auc:0.699832 train-auc:0.699583
[40] eval-auc:0.699832 train-auc:0.699583
[41] eval-auc:0.699835 train-auc:0.699586
[42] eval-auc:0.699835 train-auc:0.699586
[43] eval-auc:0.699835 train-auc:0.699586
[44] eval-auc:0.699835 train-auc:0.699586
[45] eval-auc:0.699835 train-auc:0.699586
[46] eval-auc:0.699832 train-auc:0.699583
[47] eval-auc:0.706628 train-auc:0.701342
[48] eval-auc:0.706628 train-auc:0.701342
[49] eval-auc:0.699832 train-auc:0.699583
[50] eval-auc:0.706716 train-auc:0.701362
[51] eval-auc:0.706628 train-auc:0.701342
[52] eval-auc:0.699832 train-auc:0.699583
[53] eval-auc:0.706716 train-auc:0.701362
[54] eval-auc:0.706716 train-auc:0.701362
[55] eval-auc:0.706719 train-auc:0.701365
[56] eval-auc:0.706716 train-auc:0.701362
[57] eval-auc:0.706716 train-auc:0.701362
[58] eval-auc:0.699923 train-auc:0.699606
[59] eval-auc:0.706716 train-auc:0.701362
[60] eval-auc:0.706716 train-auc:0.701362
[61] eval-auc:0.699923 train-auc:0.699606
[62] eval-auc:0.707925 train-auc:0.701002
[63] eval-auc:0.706716 train-auc:0.701362
[64] eval-auc:0.701132 train-auc:0.699246
[65] eval-auc:0.707925 train-auc:0.701002
[66] eval-auc:0.701132 train-auc:0.699246
[67] eval-auc:0.701132 train-auc:0.699246
[68] eval-auc:0.707925 train-auc:0.701002
[69] eval-auc:0.707925 train-auc:0.701002
[70] eval-auc:0.701132 train-auc:0.699246
[71] eval-auc:0.707925 train-auc:0.701002
[72] eval-auc:0.701132 train-auc:0.699246
[73] eval-auc:0.701132 train-auc:0.699246
[74] eval-auc:0.701132 train-auc:0.699246
[75] eval-auc:0.701132 train-auc:0.699246
[76] eval-auc:0.707925 train-auc:0.701002
[77] eval-auc:0.704336 train-auc:0.698726
[78] eval-auc:0.704336 train-auc:0.698726
[79] eval-auc:0.704801 train-auc:0.699542
[80] eval-auc:0.70683 train-auc:0.70161
[81] eval-auc:0.705048 train-auc:0.699361
[82] eval-auc:0.70643 train-auc:0.701969
[83] eval-auc:0.707875 train-auc:0.703933
[84] eval-auc:0.706514 train-auc:0.704443
[85] eval-auc:0.70659 train-auc:0.704452
[86] eval-auc:0.707254 train-auc:0.703594
[87] eval-auc:0.707739 train-auc:0.703691
[88] eval-auc:0.705728 train-auc:0.703618
[89] eval-auc:0.705107 train-auc:0.704348
[90] eval-auc:0.705873 train-auc:0.704475
[91] eval-auc:0.70595 train-auc:0.704484
[92] eval-auc:0.706517 train-auc:0.70444
[93] eval-auc:0.706527 train-auc:0.704443
[94] eval-auc:0.706684 train-auc:0.704451
[95] eval-auc:0.70669 train-auc:0.704452
[96] eval-auc:0.70622 train-auc:0.704158
[97] eval-auc:0.705949 train-auc:0.704475
[98] eval-auc:0.706593 train-auc:0.70444
[99] eval-auc:0.706593 train-auc:0.70444
[100] eval-auc:0.706593 train-auc:0.70444
[101] eval-auc:0.706593 train-auc:0.70444
[102] eval-auc:0.706097 train-auc:0.705429
[103] eval-auc:0.705482 train-auc:0.705527
[104] eval-auc:0.705805 train-auc:0.705147
[105] eval-auc:0.705895 train-auc:0.705161
[106] eval-auc:0.705887 train-auc:0.705161
[107] eval-auc:0.705607 train-auc:0.705456
[108] eval-auc:0.705435 train-auc:0.705533
[109] eval-auc:0.705426 train-auc:0.705535
[110] eval-auc:0.705484 train-auc:0.705408
[111] eval-auc:0.705275 train-auc:0.705369
[112] eval-auc:0.705776 train-auc:0.705585
[113] eval-auc:0.703953 train-auc:0.708213
[114] eval-auc:0.704048 train-auc:0.708223
[115] eval-auc:0.703667 train-auc:0.708202
[116] eval-auc:0.703949 train-auc:0.708175
[117] eval-auc:0.703882 train-auc:0.70823
[118] eval-auc:0.7039 train-auc:0.708211
[119] eval-auc:0.703825 train-auc:0.708375
[120] eval-auc:0.704287 train-auc:0.708847
[121] eval-auc:0.704047 train-auc:0.708885
[122] eval-auc:0.703785 train-auc:0.708878
[123] eval-auc:0.704114 train-auc:0.708982
[124] eval-auc:0.704204 train-auc:0.708995
[125] eval-auc:0.703963 train-auc:0.708755
[126] eval-auc:0.70405 train-auc:0.708894
[127] eval-auc:0.703505 train-auc:0.70849
[128] eval-auc:0.703888 train-auc:0.70858
[129] eval-auc:0.703957 train-auc:0.70859
[130] eval-auc:0.704184 train-auc:0.708764
[131] eval-auc:0.704182 train-auc:0.708956
[132] eval-auc:0.704243 train-auc:0.709216
[133] eval-auc:0.70399 train-auc:0.709097
[134] eval-auc:0.703263 train-auc:0.708583
[135] eval-auc:0.704071 train-auc:0.708936
[136] eval-auc:0.704467 train-auc:0.709246
[137] eval-auc:0.705348 train-auc:0.710218
[138] eval-auc:0.705255 train-auc:0.710234
[139] eval-auc:0.705403 train-auc:0.71027
[140] eval-auc:0.705576 train-auc:0.71034
[141] eval-auc:0.704941 train-auc:0.71019
[142] eval-auc:0.704996 train-auc:0.710361
[143] eval-auc:0.705194 train-auc:0.710432
[144] eval-auc:0.705293 train-auc:0.71063
[145] eval-auc:0.705704 train-auc:0.710631
[146] eval-auc:0.705761 train-auc:0.710688
[147] eval-auc:0.705505 train-auc:0.710508
[148] eval-auc:0.705548 train-auc:0.710552
[149] eval-auc:0.7055 train-auc:0.710585
[150] eval-auc:0.70531 train-auc:0.710595
[151] eval-auc:0.705433 train-auc:0.710554
[152] eval-auc:0.70538 train-auc:0.710501
[153] eval-auc:0.705458 train-auc:0.710594
[154] eval-auc:0.70552 train-auc:0.710665
[155] eval-auc:0.705619 train-auc:0.710797
[156] eval-auc:0.705646 train-auc:0.710814
[157] eval-auc:0.705928 train-auc:0.71119
[158] eval-auc:0.705586 train-auc:0.71102
[159] eval-auc:0.705284 train-auc:0.710905
[160] eval-auc:0.705292 train-auc:0.71088
[161] eval-auc:0.705718 train-auc:0.711124
[162] eval-auc:0.705671 train-auc:0.710974
[163] eval-auc:0.705712 train-auc:0.711019
[164] eval-auc:0.705738 train-auc:0.711064
[165] eval-auc:0.7058 train-auc:0.711141
[166] eval-auc:0.705805 train-auc:0.711115
[167] eval-auc:0.705633 train-auc:0.711263
[168] eval-auc:0.705977 train-auc:0.711283
[169] eval-auc:0.706085 train-auc:0.71139
[170] eval-auc:0.706149 train-auc:0.711429
[171] eval-auc:0.706225 train-auc:0.711543
[172] eval-auc:0.706196 train-auc:0.7115
[173] eval-auc:0.706189 train-auc:0.711536
[174] eval-auc:0.705733 train-auc:0.711476
[175] eval-auc:0.705831 train-auc:0.711541
[176] eval-auc:0.705688 train-auc:0.711866
[177] eval-auc:0.705493 train-auc:0.711797
[178] eval-auc:0.705576 train-auc:0.711839
[179] eval-auc:0.705574 train-auc:0.711971
[180] eval-auc:0.705688 train-auc:0.712109
[181] eval-auc:0.705853 train-auc:0.711987
[182] eval-auc:0.705914 train-auc:0.711919
[183] eval-auc:0.705839 train-auc:0.712035
[184] eval-auc:0.70587 train-auc:0.712083
[185] eval-auc:0.705825 train-auc:0.712069
[186] eval-auc:0.705783 train-auc:0.712137
[187] eval-auc:0.705824 train-auc:0.712163
[188] eval-auc:0.705807 train-auc:0.712006
[189] eval-auc:0.705927 train-auc:0.712061
[190] eval-auc:0.705999 train-auc:0.71219
[191] eval-auc:0.705982 train-auc:0.71214
[192] eval-auc:0.70599 train-auc:0.712285
[193] eval-auc:0.705949 train-auc:0.712272
[194] eval-auc:0.706028 train-auc:0.712338
[195] eval-auc:0.705975 train-auc:0.712376
[196] eval-auc:0.705964 train-auc:0.712424
[197] eval-auc:0.705997 train-auc:0.712458
[198] eval-auc:0.705975 train-auc:0.712482
[199] eval-auc:0.70606 train-auc:0.712459
[200] eval-auc:0.706074 train-auc:0.712481
[201] eval-auc:0.706039 train-auc:0.712454
[202] eval-auc:0.705848 train-auc:0.712376
[203] eval-auc:0.70588 train-auc:0.712482
[204] eval-auc:0.705895 train-auc:0.712601
[205] eval-auc:0.706035 train-auc:0.712571
[206] eval-auc:0.706084 train-auc:0.712595
[207] eval-auc:0.706019 train-auc:0.712626
[208] eval-auc:0.705999 train-auc:0.712571
[209] eval-auc:0.706075 train-auc:0.712679
[210] eval-auc:0.705897 train-auc:0.712633
[211] eval-auc:0.705876 train-auc:0.712683
[212] eval-auc:0.705862 train-auc:0.712772
[213] eval-auc:0.705906 train-auc:0.712806
[214] eval-auc:0.70592 train-auc:0.712789
[215] eval-auc:0.705959 train-auc:0.712785
[216] eval-auc:0.705836 train-auc:0.712813
[217] eval-auc:0.705949 train-auc:0.712854
[218] eval-auc:0.706099 train-auc:0.712972
[219] eval-auc:0.705943 train-auc:0.712942
[220] eval-auc:0.705891 train-auc:0.713
[221] eval-auc:0.705793 train-auc:0.712918
[222] eval-auc:0.705962 train-auc:0.713414
[223] eval-auc:0.705967 train-auc:0.713501
[224] eval-auc:0.705999 train-auc:0.713544
[225] eval-auc:0.706045 train-auc:0.713473
[226] eval-auc:0.706001 train-auc:0.713519
[227] eval-auc:0.706173 train-auc:0.713717
[228] eval-auc:0.706019 train-auc:0.713765
[229] eval-auc:0.706198 train-auc:0.713863
[230] eval-auc:0.706296 train-auc:0.713964
[231] eval-auc:0.706305 train-auc:0.713994
[232] eval-auc:0.706252 train-auc:0.713964
[233] eval-auc:0.706297 train-auc:0.714015
[234] eval-auc:0.706025 train-auc:0.714044
[235] eval-auc:0.706147 train-auc:0.714342
[236] eval-auc:0.705979 train-auc:0.714309
[237] eval-auc:0.705903 train-auc:0.714319
[238] eval-auc:0.70587 train-auc:0.714191
[239] eval-auc:0.706037 train-auc:0.714234
[240] eval-auc:0.706107 train-auc:0.714446
[241] eval-auc:0.70615 train-auc:0.714478
[242] eval-auc:0.706066 train-auc:0.714383
[243] eval-auc:0.706177 train-auc:0.71439
[244] eval-auc:0.706564 train-auc:0.714729
[245] eval-auc:0.70639 train-auc:0.714675
[246] eval-auc:0.706144 train-auc:0.714732
[247] eval-auc:0.706128 train-auc:0.714682
[248] eval-auc:0.706195 train-auc:0.714766
[249] eval-auc:0.706262 train-auc:0.714797
[250] eval-auc:0.706393 train-auc:0.714848
[251] eval-auc:0.706387 train-auc:0.714884
[252] eval-auc:0.706469 train-auc:0.7149
[253] eval-auc:0.70639 train-auc:0.714915
[254] eval-auc:0.706248 train-auc:0.714787
[255] eval-auc:0.706053 train-auc:0.714838
[256] eval-auc:0.706112 train-auc:0.714947
[257] eval-auc:0.705899 train-auc:0.714897
[258] eval-auc:0.705986 train-auc:0.714934
[259] eval-auc:0.70601 train-auc:0.714953
[260] eval-auc:0.705978 train-auc:0.715043
[261] eval-auc:0.706044 train-auc:0.715049
[262] eval-auc:0.70617 train-auc:0.715095
[263] eval-auc:0.706303 train-auc:0.715079
[264] eval-auc:0.706176 train-auc:0.715036
[265] eval-auc:0.706263 train-auc:0.71506
[266] eval-auc:0.706155 train-auc:0.715017
[267] eval-auc:0.706259 train-auc:0.715072
[268] eval-auc:0.706243 train-auc:0.715108
[269] eval-auc:0.706271 train-auc:0.715128
[270] eval-auc:0.706271 train-auc:0.715192
[271] eval-auc:0.706336 train-auc:0.715227
[272] eval-auc:0.705962 train-auc:0.715274
[273] eval-auc:0.706083 train-auc:0.715354
[274] eval-auc:0.705796 train-auc:0.71528
[275] eval-auc:0.706001 train-auc:0.715358
[276] eval-auc:0.706192 train-auc:0.715365
[277] eval-auc:0.706016 train-auc:0.715258
[278] eval-auc:0.706088 train-auc:0.715279
[279] eval-auc:0.706131 train-auc:0.715306
[280] eval-auc:0.706122 train-auc:0.715441
[281] eval-auc:0.706115 train-auc:0.715301
[282] eval-auc:0.705863 train-auc:0.715384
[283] eval-auc:0.70551 train-auc:0.715442
[284] eval-auc:0.7055 train-auc:0.715446
[285] eval-auc:0.705583 train-auc:0.715505
[286] eval-auc:0.705646 train-auc:0.715501
[287] eval-auc:0.705854 train-auc:0.715681
[288] eval-auc:0.705914 train-auc:0.715706
[289] eval-auc:0.705739 train-auc:0.715651
[290] eval-auc:0.70586 train-auc:0.715661
[291] eval-auc:0.705821 train-auc:0.715771
[292] eval-auc:0.705658 train-auc:0.715649
[293] eval-auc:0.705696 train-auc:0.715681
[294] eval-auc:0.70555 train-auc:0.715686
[295] eval-auc:0.705725 train-auc:0.715742
[296] eval-auc:0.705652 train-auc:0.715808
[297] eval-auc:0.705736 train-auc:0.715862
[298] eval-auc:0.705766 train-auc:0.715874
[299] eval-auc:0.705637 train-auc:0.715944
[300] eval-auc:0.705673 train-auc:0.715979
[301] eval-auc:0.705711 train-auc:0.71602
[302] eval-auc:0.705687 train-auc:0.716073
[303] eval-auc:0.705487 train-auc:0.715989
[304] eval-auc:0.705495 train-auc:0.716006
[305] eval-auc:0.705672 train-auc:0.716193
[306] eval-auc:0.705435 train-auc:0.716268
[307] eval-auc:0.705214 train-auc:0.716306
[308] eval-auc:0.705167 train-auc:0.716322
[309] eval-auc:0.705109 train-auc:0.716267
[310] eval-auc:0.705132 train-auc:0.716379
[311] eval-auc:0.705194 train-auc:0.716423
[312] eval-auc:0.705185 train-auc:0.716492
[313] eval-auc:0.705133 train-auc:0.716529
[314] eval-auc:0.705126 train-auc:0.716485
[315] eval-auc:0.704989 train-auc:0.716552
[316] eval-auc:0.705107 train-auc:0.716523
[317] eval-auc:0.705115 train-auc:0.716614
[318] eval-auc:0.705121 train-auc:0.716611
[319] eval-auc:0.705147 train-auc:0.716631
[320] eval-auc:0.705083 train-auc:0.716558
[321] eval-auc:0.705144 train-auc:0.716626
[322] eval-auc:0.705184 train-auc:0.716666
[323] eval-auc:0.705197 train-auc:0.716698
[324] eval-auc:0.704999 train-auc:0.716701
[325] eval-auc:0.704976 train-auc:0.716688
[326] eval-auc:0.705009 train-auc:0.716674
[327] eval-auc:0.705074 train-auc:0.716747
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[361] eval-auc:0.70428 train-auc:0.717712
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[365] eval-auc:0.704164 train-auc:0.717807
[366] eval-auc:0.704243 train-auc:0.717861
[367] eval-auc:0.70421 train-auc:0.717869
[368] eval-auc:0.704354 train-auc:0.717982
[369] eval-auc:0.704322 train-auc:0.717938
[370] eval-auc:0.704385 train-auc:0.718057
[371] eval-auc:0.704431 train-auc:0.71804
[372] eval-auc:0.704453 train-auc:0.718142
[373] eval-auc:0.704237 train-auc:0.718173
[374] eval-auc:0.704297 train-auc:0.718195
[375] eval-auc:0.704234 train-auc:0.718139
[376] eval-auc:0.70428 train-auc:0.718125
[377] eval-auc:0.704106 train-auc:0.718178
[378] eval-auc:0.704179 train-auc:0.718177
[379] eval-auc:0.704208 train-auc:0.718192
[380] eval-auc:0.704254 train-auc:0.718272
[381] eval-auc:0.704236 train-auc:0.718261
[382] eval-auc:0.704318 train-auc:0.718252
[383] eval-auc:0.704324 train-auc:0.718293
[384] eval-auc:0.70433 train-auc:0.718301
[385] eval-auc:0.704304 train-auc:0.718311
[386] eval-auc:0.704233 train-auc:0.718351
[387] eval-auc:0.704208 train-auc:0.718353
[388] eval-auc:0.704214 train-auc:0.718361
[389] eval-auc:0.704259 train-auc:0.718378
[390] eval-auc:0.704086 train-auc:0.718437
[391] eval-auc:0.704164 train-auc:0.718453
[392] eval-auc:0.704173 train-auc:0.718472
[393] eval-auc:0.704138 train-auc:0.718435
[394] eval-auc:0.704259 train-auc:0.718489
[395] eval-auc:0.704185 train-auc:0.718563
[396] eval-auc:0.704234 train-auc:0.718539
[397] eval-auc:0.704061 train-auc:0.718594
[398] eval-auc:0.704019 train-auc:0.71871
[399] eval-auc:0.70408 train-auc:0.718691
[400] eval-auc:0.704086 train-auc:0.718722
[401] eval-auc:0.704073 train-auc:0.718763
[402] eval-auc:0.704184 train-auc:0.718791
[403] eval-auc:0.704016 train-auc:0.718822
[404] eval-auc:0.704004 train-auc:0.718853
[405] eval-auc:0.70386 train-auc:0.718891
[406] eval-auc:0.703736 train-auc:0.718888
[407] eval-auc:0.703747 train-auc:0.718914
[408] eval-auc:0.703796 train-auc:0.718928
[409] eval-auc:0.703832 train-auc:0.71894
[410] eval-auc:0.703788 train-auc:0.718932
[411] eval-auc:0.703657 train-auc:0.718985
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[413] eval-auc:0.703691 train-auc:0.71901
[414] eval-auc:0.703733 train-auc:0.719009
[415] eval-auc:0.703742 train-auc:0.719081
[416] eval-auc:0.703668 train-auc:0.719041
[417] eval-auc:0.703715 train-auc:0.719037
[418] eval-auc:0.703782 train-auc:0.719035
[419] eval-auc:0.703809 train-auc:0.719099
[420] eval-auc:0.703797 train-auc:0.719109
[421] eval-auc:0.703855 train-auc:0.71912
[422] eval-auc:0.703729 train-auc:0.719155
[423] eval-auc:0.70366 train-auc:0.719196
[424] eval-auc:0.703669 train-auc:0.719218
[425] eval-auc:0.703687 train-auc:0.71924
[426] eval-auc:0.703744 train-auc:0.719249
[427] eval-auc:0.703765 train-auc:0.719259
[428] eval-auc:0.703852 train-auc:0.719288
[429] eval-auc:0.703858 train-auc:0.719345
[430] eval-auc:0.703864 train-auc:0.719355
[431] eval-auc:0.703832 train-auc:0.719393
[432] eval-auc:0.703823 train-auc:0.71946
[433] eval-auc:0.703783 train-auc:0.719416
[434] eval-auc:0.703762 train-auc:0.719399
[435] eval-auc:0.703736 train-auc:0.719413
[436] eval-auc:0.703832 train-auc:0.719449
[437] eval-auc:0.703774 train-auc:0.719471
[438] eval-auc:0.703786 train-auc:0.719498
[439] eval-auc:0.703734 train-auc:0.719506
[440] eval-auc:0.703738 train-auc:0.719522
[441] eval-auc:0.703747 train-auc:0.719521
[442] eval-auc:0.703788 train-auc:0.719528
[443] eval-auc:0.703703 train-auc:0.719553
[444] eval-auc:0.703686 train-auc:0.719589
[445] eval-auc:0.703722 train-auc:0.719596
[446] eval-auc:0.703735 train-auc:0.719616
[447] eval-auc:0.703735 train-auc:0.719652
[448] eval-auc:0.703764 train-auc:0.719643
[449] eval-auc:0.703762 train-auc:0.719658
[450] eval-auc:0.703774 train-auc:0.719727
[451] eval-auc:0.703782 train-auc:0.719722
[452] eval-auc:0.703793 train-auc:0.719748
[453] eval-auc:0.703747 train-auc:0.719746
[454] eval-auc:0.703663 train-auc:0.719724
[455] eval-auc:0.70362 train-auc:0.719699
[456] eval-auc:0.703538 train-auc:0.719715
[457] eval-auc:0.70359 train-auc:0.719781
[458] eval-auc:0.703602 train-auc:0.719802
[459] eval-auc:0.703579 train-auc:0.719792
[460] eval-auc:0.70364 train-auc:0.719843
[461] eval-auc:0.703448 train-auc:0.719867
[462] eval-auc:0.703528 train-auc:0.719923
[463] eval-auc:0.70356 train-auc:0.719908
[464] eval-auc:0.703584 train-auc:0.719895
[465] eval-auc:0.703624 train-auc:0.719899
[466] eval-auc:0.703655 train-auc:0.719921
[467] eval-auc:0.703578 train-auc:0.719944
[468] eval-auc:0.703532 train-auc:0.719973
[469] eval-auc:0.703598 train-auc:0.72001
[470] eval-auc:0.703535 train-auc:0.720035
[471] eval-auc:0.703619 train-auc:0.720089
[472] eval-auc:0.703645 train-auc:0.720089
[473] eval-auc:0.70368 train-auc:0.720102
[474] eval-auc:0.703643 train-auc:0.720132
[475] eval-auc:0.703616 train-auc:0.720132
[476] eval-auc:0.703596 train-auc:0.720127
[477] eval-auc:0.70357 train-auc:0.720107
[478] eval-auc:0.703605 train-auc:0.720112
[479] eval-auc:0.703575 train-auc:0.720135
[480] eval-auc:0.703496 train-auc:0.720177
[481] eval-auc:0.703511 train-auc:0.720186
[482] eval-auc:0.703476 train-auc:0.720199
[483] eval-auc:0.703462 train-auc:0.720199
[484] eval-auc:0.703448 train-auc:0.720207
[485] eval-auc:0.703486 train-auc:0.720209
[486] eval-auc:0.703496 train-auc:0.720237
[487] eval-auc:0.703385 train-auc:0.720266
[488] eval-auc:0.703341 train-auc:0.720288
[489] eval-auc:0.703368 train-auc:0.720319
[490] eval-auc:0.703388 train-auc:0.720338
[491] eval-auc:0.703371 train-auc:0.720331
[492] eval-auc:0.70335 train-auc:0.720374
[493] eval-auc:0.703454 train-auc:0.720401
[494] eval-auc:0.703425 train-auc:0.720402
[495] eval-auc:0.703486 train-auc:0.720442
[496] eval-auc:0.703467 train-auc:0.720445
[497] eval-auc:0.703474 train-auc:0.720419
[498] eval-auc:0.703504 train-auc:0.720441
[499] eval-auc:0.703487 train-auc:0.720452
[500] eval-auc:0.703501 train-auc:0.720467
[501] eval-auc:0.703464 train-auc:0.720447
[502] eval-auc:0.70347 train-auc:0.720467
[503] eval-auc:0.703551 train-auc:0.720507
[504] eval-auc:0.703537 train-auc:0.720511
[505] eval-auc:0.703553 train-auc:0.720543
[506] eval-auc:0.703417 train-auc:0.720579
[507] eval-auc:0.70359 train-auc:0.720591
[508] eval-auc:0.703646 train-auc:0.720584
[509] eval-auc:0.703624 train-auc:0.720594
[510] eval-auc:0.703639 train-auc:0.720602
[511] eval-auc:0.703707 train-auc:0.720659
[512] eval-auc:0.70371 train-auc:0.72065
[513] eval-auc:0.703746 train-auc:0.720653
[514] eval-auc:0.703694 train-auc:0.720696
[515] eval-auc:0.703736 train-auc:0.720709
[516] eval-auc:0.703719 train-auc:0.720721
[517] eval-auc:0.703758 train-auc:0.720741
[518] eval-auc:0.703697 train-auc:0.720772
[519] eval-auc:0.703735 train-auc:0.720774
[520] eval-auc:0.703761 train-auc:0.720774
[521] eval-auc:0.703788 train-auc:0.720803
[522] eval-auc:0.70373 train-auc:0.720817
[523] eval-auc:0.703718 train-auc:0.720837
[524] eval-auc:0.703713 train-auc:0.720842
[525] eval-auc:0.703634 train-auc:0.720892
[526] eval-auc:0.703741 train-auc:0.720893
[527] eval-auc:0.703701 train-auc:0.720897
[528] eval-auc:0.703666 train-auc:0.720901
[529] eval-auc:0.703703 train-auc:0.720924
[530] eval-auc:0.703731 train-auc:0.720947
[531] eval-auc:0.703733 train-auc:0.720967
[532] eval-auc:0.703853 train-auc:0.720977
[533] eval-auc:0.703767 train-auc:0.720998
[534] eval-auc:0.703782 train-auc:0.721018
[535] eval-auc:0.703782 train-auc:0.721063
[536] eval-auc:0.703823 train-auc:0.721052
[537] eval-auc:0.703764 train-auc:0.721032
[538] eval-auc:0.703707 train-auc:0.721066
[539] eval-auc:0.703736 train-auc:0.721067
[540] eval-auc:0.703751 train-auc:0.721068
[541] eval-auc:0.703786 train-auc:0.721086
[542] eval-auc:0.703864 train-auc:0.721117
[543] eval-auc:0.703774 train-auc:0.721146
[544] eval-auc:0.703809 train-auc:0.721171
[545] eval-auc:0.703814 train-auc:0.721192
[546] eval-auc:0.703835 train-auc:0.721206
[547] eval-auc:0.703847 train-auc:0.721208
[548] eval-auc:0.703838 train-auc:0.721233
[549] eval-auc:0.703837 train-auc:0.721228
[550] eval-auc:0.703972 train-auc:0.72124
[551] eval-auc:0.70398 train-auc:0.72127
[552] eval-auc:0.70392 train-auc:0.721289
[553] eval-auc:0.70393 train-auc:0.721294
[554] eval-auc:0.703885 train-auc:0.721338
[555] eval-auc:0.70385 train-auc:0.721341
[556] eval-auc:0.703896 train-auc:0.721361
[557] eval-auc:0.703919 train-auc:0.721363
[558] eval-auc:0.703878 train-auc:0.721384
[559] eval-auc:0.703802 train-auc:0.721398
[560] eval-auc:0.703821 train-auc:0.721399
[561] eval-auc:0.703815 train-auc:0.721401
[562] eval-auc:0.703856 train-auc:0.721452
[563] eval-auc:0.703875 train-auc:0.72147
Score 0.7038747578847349
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 1.0, 'eta': 0.2, 'eval_metric': 'auc', 'gamma': 0.65, 'max_depth': 3, 'min_child_weight': 3.0, 'n_estimators': 298.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.706179 train-auc:0.721587
[1] eval-auc:0.700919 train-auc:0.733669
[2] eval-auc:0.694936 train-auc:0.747472
[3] eval-auc:0.698877 train-auc:0.752668
[4] eval-auc:0.710872 train-auc:0.755223
[5] eval-auc:0.70559 train-auc:0.757218
[6] eval-auc:0.707288 train-auc:0.757196
[7] eval-auc:0.705873 train-auc:0.765201
[8] eval-auc:0.705329 train-auc:0.769039
[9] eval-auc:0.704631 train-auc:0.770251
[10] eval-auc:0.708285 train-auc:0.773298
[11] eval-auc:0.709823 train-auc:0.779329
[12] eval-auc:0.711976 train-auc:0.783818
[13] eval-auc:0.714191 train-auc:0.783528
[14] eval-auc:0.711073 train-auc:0.784965
[15] eval-auc:0.710008 train-auc:0.786064
[16] eval-auc:0.706687 train-auc:0.79006
[17] eval-auc:0.70442 train-auc:0.79393
[18] eval-auc:0.704626 train-auc:0.796028
[19] eval-auc:0.706869 train-auc:0.801534
[20] eval-auc:0.706274 train-auc:0.805541
[21] eval-auc:0.703453 train-auc:0.810768
[22] eval-auc:0.704258 train-auc:0.812189
[23] eval-auc:0.703806 train-auc:0.813639
[24] eval-auc:0.703994 train-auc:0.814773
[25] eval-auc:0.70292 train-auc:0.815594
[26] eval-auc:0.705235 train-auc:0.818893
[27] eval-auc:0.706188 train-auc:0.823677
[28] eval-auc:0.705378 train-auc:0.826333
[29] eval-auc:0.70626 train-auc:0.830962
[30] eval-auc:0.705235 train-auc:0.83419
[31] eval-auc:0.707371 train-auc:0.834472
[32] eval-auc:0.704629 train-auc:0.835709
[33] eval-auc:0.703279 train-auc:0.837009
[34] eval-auc:0.703646 train-auc:0.837078
[35] eval-auc:0.705581 train-auc:0.840221
[36] eval-auc:0.704944 train-auc:0.840716
[37] eval-auc:0.703808 train-auc:0.842578
[38] eval-auc:0.705553 train-auc:0.843888
[39] eval-auc:0.703831 train-auc:0.846031
[40] eval-auc:0.705471 train-auc:0.848637
[41] eval-auc:0.705531 train-auc:0.848758
[42] eval-auc:0.706183 train-auc:0.849509
[43] eval-auc:0.706415 train-auc:0.851265
[44] eval-auc:0.707787 train-auc:0.851194
[45] eval-auc:0.708179 train-auc:0.852172
[46] eval-auc:0.710049 train-auc:0.855545
[47] eval-auc:0.711319 train-auc:0.856388
[48] eval-auc:0.709965 train-auc:0.858333
[49] eval-auc:0.711716 train-auc:0.860552
[50] eval-auc:0.712171 train-auc:0.86146
[51] eval-auc:0.712231 train-auc:0.861711
[52] eval-auc:0.712191 train-auc:0.86268
[53] eval-auc:0.712312 train-auc:0.865358
[54] eval-auc:0.711536 train-auc:0.866639
[55] eval-auc:0.711747 train-auc:0.867616
[56] eval-auc:0.712219 train-auc:0.868495
[57] eval-auc:0.711885 train-auc:0.869058
[58] eval-auc:0.711891 train-auc:0.869788
[59] eval-auc:0.712061 train-auc:0.870714
[60] eval-auc:0.712388 train-auc:0.871513
[61] eval-auc:0.712478 train-auc:0.873096
[62] eval-auc:0.711319 train-auc:0.875646
[63] eval-auc:0.712204 train-auc:0.876591
[64] eval-auc:0.713546 train-auc:0.878153
[65] eval-auc:0.712638 train-auc:0.878663
[66] eval-auc:0.713884 train-auc:0.880076
[67] eval-auc:0.713942 train-auc:0.880747
[68] eval-auc:0.713876 train-auc:0.882658
[69] eval-auc:0.713211 train-auc:0.884138
[70] eval-auc:0.713585 train-auc:0.885163
[71] eval-auc:0.713354 train-auc:0.885715
[72] eval-auc:0.712245 train-auc:0.88628
[73] eval-auc:0.712497 train-auc:0.887739
[74] eval-auc:0.713113 train-auc:0.888853
[75] eval-auc:0.712954 train-auc:0.889172
[76] eval-auc:0.712186 train-auc:0.890124
[77] eval-auc:0.712865 train-auc:0.89163
[78] eval-auc:0.71243 train-auc:0.893213
[79] eval-auc:0.712938 train-auc:0.893457
[80] eval-auc:0.713022 train-auc:0.894108
[81] eval-auc:0.713224 train-auc:0.894985
[82] eval-auc:0.713926 train-auc:0.89654
[83] eval-auc:0.713666 train-auc:0.896282
[84] eval-auc:0.713526 train-auc:0.897184
[85] eval-auc:0.715253 train-auc:0.898725
[86] eval-auc:0.714207 train-auc:0.899172
[87] eval-auc:0.713629 train-auc:0.899379
[88] eval-auc:0.713052 train-auc:0.900056
[89] eval-auc:0.712969 train-auc:0.90122
[90] eval-auc:0.713369 train-auc:0.902849
[91] eval-auc:0.71308 train-auc:0.902996
[92] eval-auc:0.713297 train-auc:0.903493
[93] eval-auc:0.712291 train-auc:0.903515
[94] eval-auc:0.712772 train-auc:0.903967
[95] eval-auc:0.713498 train-auc:0.904337
[96] eval-auc:0.714517 train-auc:0.904869
[97] eval-auc:0.715932 train-auc:0.905923
[98] eval-auc:0.715167 train-auc:0.907185
[99] eval-auc:0.714441 train-auc:0.907687
[100] eval-auc:0.713768 train-auc:0.907558
[101] eval-auc:0.713629 train-auc:0.907712
[102] eval-auc:0.714389 train-auc:0.90825
[103] eval-auc:0.713101 train-auc:0.909014
[104] eval-auc:0.713425 train-auc:0.910155
[105] eval-auc:0.712309 train-auc:0.909821
[106] eval-auc:0.712096 train-auc:0.910536
[107] eval-auc:0.712528 train-auc:0.911449
[108] eval-auc:0.712177 train-auc:0.912989
[109] eval-auc:0.711916 train-auc:0.912925
[110] eval-auc:0.71262 train-auc:0.913615
[111] eval-auc:0.712806 train-auc:0.914194
[112] eval-auc:0.712978 train-auc:0.914823
[113] eval-auc:0.712183 train-auc:0.915136
[114] eval-auc:0.711018 train-auc:0.915658
[115] eval-auc:0.710109 train-auc:0.916462
[116] eval-auc:0.710024 train-auc:0.917362
[117] eval-auc:0.71045 train-auc:0.917706
[118] eval-auc:0.709384 train-auc:0.917977
[119] eval-auc:0.70999 train-auc:0.919234
[120] eval-auc:0.710546 train-auc:0.920372
[121] eval-auc:0.71128 train-auc:0.920964
[122] eval-auc:0.711537 train-auc:0.921948
[123] eval-auc:0.71239 train-auc:0.92308
[124] eval-auc:0.711772 train-auc:0.923263
[125] eval-auc:0.712469 train-auc:0.92388
[126] eval-auc:0.712795 train-auc:0.924309
[127] eval-auc:0.712559 train-auc:0.925164
[128] eval-auc:0.712232 train-auc:0.925136
[129] eval-auc:0.711415 train-auc:0.92595
[130] eval-auc:0.711351 train-auc:0.926436
[131] eval-auc:0.710423 train-auc:0.928078
[132] eval-auc:0.710337 train-auc:0.928807
[133] eval-auc:0.710672 train-auc:0.929874
[134] eval-auc:0.710497 train-auc:0.930467
[135] eval-auc:0.71047 train-auc:0.930586
[136] eval-auc:0.709772 train-auc:0.930995
[137] eval-auc:0.708987 train-auc:0.932207
[138] eval-auc:0.70927 train-auc:0.932306
[139] eval-auc:0.709495 train-auc:0.93307
[140] eval-auc:0.709611 train-auc:0.934058
[141] eval-auc:0.709558 train-auc:0.934084
[142] eval-auc:0.708945 train-auc:0.934744
[143] eval-auc:0.710369 train-auc:0.935595
[144] eval-auc:0.71135 train-auc:0.936414
[145] eval-auc:0.711611 train-auc:0.93687
[146] eval-auc:0.711712 train-auc:0.937552
[147] eval-auc:0.711439 train-auc:0.937925
[148] eval-auc:0.710733 train-auc:0.93825
[149] eval-auc:0.711345 train-auc:0.939063
[150] eval-auc:0.710543 train-auc:0.939669
[151] eval-auc:0.710518 train-auc:0.939554
[152] eval-auc:0.710651 train-auc:0.940089
[153] eval-auc:0.710643 train-auc:0.940445
[154] eval-auc:0.71008 train-auc:0.940689
[155] eval-auc:0.710066 train-auc:0.941202
[156] eval-auc:0.710684 train-auc:0.941334
[157] eval-auc:0.710086 train-auc:0.941572
[158] eval-auc:0.709934 train-auc:0.942307
[159] eval-auc:0.710331 train-auc:0.942621
[160] eval-auc:0.708831 train-auc:0.942996
[161] eval-auc:0.707774 train-auc:0.943688
[162] eval-auc:0.707386 train-auc:0.943562
[163] eval-auc:0.707636 train-auc:0.944004
[164] eval-auc:0.708106 train-auc:0.944377
[165] eval-auc:0.708306 train-auc:0.944536
[166] eval-auc:0.708694 train-auc:0.945167
[167] eval-auc:0.708667 train-auc:0.945814
[168] eval-auc:0.709573 train-auc:0.946459
[169] eval-auc:0.709958 train-auc:0.946855
[170] eval-auc:0.709775 train-auc:0.946802
[171] eval-auc:0.709492 train-auc:0.947238
[172] eval-auc:0.708751 train-auc:0.947912
[173] eval-auc:0.708204 train-auc:0.948865
[174] eval-auc:0.708109 train-auc:0.948903
[175] eval-auc:0.708009 train-auc:0.949074
[176] eval-auc:0.708542 train-auc:0.949716
[177] eval-auc:0.707692 train-auc:0.949965
[178] eval-auc:0.70772 train-auc:0.950608
[179] eval-auc:0.708254 train-auc:0.950651
[180] eval-auc:0.708202 train-auc:0.951009
[181] eval-auc:0.707909 train-auc:0.951287
[182] eval-auc:0.707826 train-auc:0.951907
[183] eval-auc:0.708318 train-auc:0.952329
[184] eval-auc:0.708183 train-auc:0.952532
[185] eval-auc:0.707007 train-auc:0.952823
[186] eval-auc:0.707127 train-auc:0.953121
[187] eval-auc:0.706862 train-auc:0.953356
[188] eval-auc:0.707054 train-auc:0.953504
[189] eval-auc:0.707301 train-auc:0.953737
[190] eval-auc:0.707021 train-auc:0.953976
[191] eval-auc:0.706946 train-auc:0.954161
[192] eval-auc:0.707704 train-auc:0.954514
[193] eval-auc:0.707353 train-auc:0.954584
[194] eval-auc:0.709009 train-auc:0.954918
[195] eval-auc:0.709587 train-auc:0.955641
[196] eval-auc:0.709201 train-auc:0.955815
[197] eval-auc:0.708914 train-auc:0.956991
[198] eval-auc:0.709267 train-auc:0.957259
[199] eval-auc:0.709136 train-auc:0.95739
[200] eval-auc:0.708898 train-auc:0.957515
[201] eval-auc:0.708869 train-auc:0.957706
[202] eval-auc:0.708041 train-auc:0.95782
[203] eval-auc:0.708703 train-auc:0.958016
[204] eval-auc:0.709105 train-auc:0.958045
[205] eval-auc:0.709128 train-auc:0.958205
[206] eval-auc:0.708982 train-auc:0.958551
[207] eval-auc:0.708738 train-auc:0.958516
[208] eval-auc:0.709337 train-auc:0.958791
[209] eval-auc:0.708767 train-auc:0.959508
[210] eval-auc:0.707936 train-auc:0.959966
[211] eval-auc:0.707245 train-auc:0.960199
[212] eval-auc:0.707877 train-auc:0.960389
[213] eval-auc:0.707974 train-auc:0.960714
[214] eval-auc:0.707006 train-auc:0.96102
[215] eval-auc:0.706305 train-auc:0.96146
[216] eval-auc:0.70671 train-auc:0.961492
[217] eval-auc:0.707266 train-auc:0.96169
[218] eval-auc:0.70678 train-auc:0.961716
[219] eval-auc:0.706879 train-auc:0.961993
[220] eval-auc:0.707634 train-auc:0.962745
[221] eval-auc:0.707557 train-auc:0.962768
[222] eval-auc:0.707892 train-auc:0.962721
[223] eval-auc:0.708353 train-auc:0.963098
[224] eval-auc:0.708926 train-auc:0.963208
[225] eval-auc:0.708941 train-auc:0.963401
[226] eval-auc:0.709153 train-auc:0.963635
[227] eval-auc:0.709122 train-auc:0.963799
[228] eval-auc:0.708825 train-auc:0.96383
[229] eval-auc:0.708671 train-auc:0.96385
[230] eval-auc:0.708373 train-auc:0.964044
[231] eval-auc:0.708504 train-auc:0.964224
[232] eval-auc:0.707717 train-auc:0.964175
[233] eval-auc:0.708064 train-auc:0.964492
[234] eval-auc:0.70839 train-auc:0.965207
[235] eval-auc:0.70872 train-auc:0.96536
[236] eval-auc:0.709213 train-auc:0.965405
[237] eval-auc:0.709669 train-auc:0.965624
[238] eval-auc:0.70951 train-auc:0.965927
[239] eval-auc:0.709448 train-auc:0.966073
[240] eval-auc:0.709745 train-auc:0.966099
[241] eval-auc:0.710369 train-auc:0.966708
[242] eval-auc:0.710354 train-auc:0.966996
[243] eval-auc:0.710715 train-auc:0.967359
[244] eval-auc:0.710567 train-auc:0.967576
[245] eval-auc:0.710182 train-auc:0.967665
[246] eval-auc:0.710911 train-auc:0.968049
[247] eval-auc:0.710627 train-auc:0.968238
[248] eval-auc:0.710869 train-auc:0.968466
[249] eval-auc:0.710512 train-auc:0.96863
[250] eval-auc:0.710145 train-auc:0.968692
[251] eval-auc:0.710314 train-auc:0.968928
[252] eval-auc:0.709506 train-auc:0.969058
[253] eval-auc:0.709823 train-auc:0.969369
[254] eval-auc:0.71022 train-auc:0.969517
[255] eval-auc:0.710258 train-auc:0.969773
[256] eval-auc:0.710238 train-auc:0.969956
[257] eval-auc:0.710052 train-auc:0.97002
[258] eval-auc:0.710008 train-auc:0.970262
[259] eval-auc:0.710007 train-auc:0.97044
[260] eval-auc:0.710031 train-auc:0.970625
[261] eval-auc:0.710923 train-auc:0.971045
[262] eval-auc:0.711172 train-auc:0.971201
[263] eval-auc:0.711048 train-auc:0.97177
[264] eval-auc:0.711284 train-auc:0.971919
[265] eval-auc:0.711187 train-auc:0.972094
[266] eval-auc:0.711534 train-auc:0.972245
[267] eval-auc:0.712035 train-auc:0.972295
[268] eval-auc:0.712777 train-auc:0.972582
[269] eval-auc:0.712891 train-auc:0.972684
[270] eval-auc:0.712384 train-auc:0.972934
[271] eval-auc:0.712838 train-auc:0.972927
[272] eval-auc:0.712396 train-auc:0.973183
[273] eval-auc:0.712079 train-auc:0.973457
[274] eval-auc:0.712026 train-auc:0.973781
[275] eval-auc:0.71223 train-auc:0.974197
[276] eval-auc:0.712448 train-auc:0.974326
[277] eval-auc:0.712527 train-auc:0.974472
[278] eval-auc:0.711661 train-auc:0.974517
[279] eval-auc:0.711351 train-auc:0.974797
[280] eval-auc:0.711172 train-auc:0.974908
[281] eval-auc:0.711106 train-auc:0.974882
[282] eval-auc:0.711097 train-auc:0.974936
[283] eval-auc:0.7101 train-auc:0.975192
[284] eval-auc:0.710091 train-auc:0.975267
[285] eval-auc:0.709739 train-auc:0.975288
[286] eval-auc:0.709319 train-auc:0.975513
[287] eval-auc:0.709775 train-auc:0.97575
[288] eval-auc:0.710098 train-auc:0.975846
[289] eval-auc:0.709288 train-auc:0.976093
[290] eval-auc:0.709247 train-auc:0.976177
[291] eval-auc:0.708948 train-auc:0.976298
[292] eval-auc:0.707913 train-auc:0.976438
[293] eval-auc:0.70729 train-auc:0.976825
[294] eval-auc:0.707184 train-auc:0.976826
[295] eval-auc:0.707019 train-auc:0.976907
[296] eval-auc:0.706978 train-auc:0.976975
[297] eval-auc:0.707106 train-auc:0.97696
Score 0.7071060068949555
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9, 'eta': 0.1, 'eval_metric': 'auc', 'gamma': 0.75, 'max_depth': 11, 'min_child_weight': 4.0, 'n_estimators': 489.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9, 'tree_method': 'exact'}
[0] eval-auc:0.701103 train-auc:0.858437
[1] eval-auc:0.674282 train-auc:0.914716
[2] eval-auc:0.690127 train-auc:0.938648
[3] eval-auc:0.698457 train-auc:0.958515
[4] eval-auc:0.695859 train-auc:0.969667
[5] eval-auc:0.691582 train-auc:0.980003
[6] eval-auc:0.688427 train-auc:0.982425
[7] eval-auc:0.695881 train-auc:0.986058
[8] eval-auc:0.694647 train-auc:0.99054
[9] eval-auc:0.693607 train-auc:0.992379
[10] eval-auc:0.696707 train-auc:0.994364
[11] eval-auc:0.69663 train-auc:0.995472
[12] eval-auc:0.695923 train-auc:0.996239
[13] eval-auc:0.697182 train-auc:0.997233
[14] eval-auc:0.696925 train-auc:0.997698
[15] eval-auc:0.699075 train-auc:0.998111
[16] eval-auc:0.698274 train-auc:0.998706
[17] eval-auc:0.699243 train-auc:0.998949
[18] eval-auc:0.69844 train-auc:0.999123
[19] eval-auc:0.699115 train-auc:0.999207
[20] eval-auc:0.700511 train-auc:0.999387
[21] eval-auc:0.702749 train-auc:0.999545
[22] eval-auc:0.700108 train-auc:0.999654
[23] eval-auc:0.700721 train-auc:0.999647
[24] eval-auc:0.702284 train-auc:0.999724
[25] eval-auc:0.703718 train-auc:0.999788
[26] eval-auc:0.703957 train-auc:0.999787
[27] eval-auc:0.703447 train-auc:0.999811
[28] eval-auc:0.702791 train-auc:0.999813
[29] eval-auc:0.701941 train-auc:0.99988
[30] eval-auc:0.702038 train-auc:0.999908
[31] eval-auc:0.701001 train-auc:0.99991
[32] eval-auc:0.701965 train-auc:0.999918
[33] eval-auc:0.702608 train-auc:0.999906
[34] eval-auc:0.702874 train-auc:0.999899
[35] eval-auc:0.700753 train-auc:0.999921
[36] eval-auc:0.701099 train-auc:0.999914
[37] eval-auc:0.701821 train-auc:0.999921
[38] eval-auc:0.702472 train-auc:0.99993
[39] eval-auc:0.7034 train-auc:0.99995
[40] eval-auc:0.703182 train-auc:0.999948
[41] eval-auc:0.702583 train-auc:0.999955
[42] eval-auc:0.702083 train-auc:0.999956
[43] eval-auc:0.702136 train-auc:0.99996
[44] eval-auc:0.701387 train-auc:0.999959
[45] eval-auc:0.701513 train-auc:0.999965
[46] eval-auc:0.701064 train-auc:0.99997
[47] eval-auc:0.702326 train-auc:0.999976
[48] eval-auc:0.70229 train-auc:0.999976
[49] eval-auc:0.701819 train-auc:0.999978
[50] eval-auc:0.70095 train-auc:0.999983
[51] eval-auc:0.700787 train-auc:0.999982
[52] eval-auc:0.701295 train-auc:0.999983
[53] eval-auc:0.701578 train-auc:0.999988
[54] eval-auc:0.70235 train-auc:0.999989
[55] eval-auc:0.702043 train-auc:0.999989
[56] eval-auc:0.70147 train-auc:0.999989
[57] eval-auc:0.700516 train-auc:0.999989
[58] eval-auc:0.700243 train-auc:0.99999
[59] eval-auc:0.700012 train-auc:0.999991
[60] eval-auc:0.700263 train-auc:0.999991
[61] eval-auc:0.700013 train-auc:0.999992
[62] eval-auc:0.698848 train-auc:0.999993
[63] eval-auc:0.698411 train-auc:0.999993
[64] eval-auc:0.697986 train-auc:0.999993
[65] eval-auc:0.697307 train-auc:0.999994
[66] eval-auc:0.696747 train-auc:0.999992
[67] eval-auc:0.696704 train-auc:0.999995
[68] eval-auc:0.696975 train-auc:0.999995
[69] eval-auc:0.697073 train-auc:0.999996
[70] eval-auc:0.696579 train-auc:0.999998
[71] eval-auc:0.696547 train-auc:0.999999
[72] eval-auc:0.696116 train-auc:0.999999
[73] eval-auc:0.696081 train-auc:1
[74] eval-auc:0.696066 train-auc:1
[75] eval-auc:0.69689 train-auc:1
[76] eval-auc:0.697123 train-auc:1
[77] eval-auc:0.697734 train-auc:1
[78] eval-auc:0.697298 train-auc:1
[79] eval-auc:0.697371 train-auc:1
[80] eval-auc:0.698536 train-auc:1
[81] eval-auc:0.698856 train-auc:1
[82] eval-auc:0.699255 train-auc:1
[83] eval-auc:0.6999 train-auc:1
[84] eval-auc:0.699311 train-auc:1
[85] eval-auc:0.699431 train-auc:1
[86] eval-auc:0.698582 train-auc:1
[87] eval-auc:0.698819 train-auc:1
[88] eval-auc:0.699049 train-auc:1
[89] eval-auc:0.698973 train-auc:1
[90] eval-auc:0.69913 train-auc:1
[91] eval-auc:0.698719 train-auc:1
[92] eval-auc:0.698273 train-auc:1
[93] eval-auc:0.698728 train-auc:1
[94] eval-auc:0.698445 train-auc:1
[95] eval-auc:0.69876 train-auc:1
[96] eval-auc:0.697833 train-auc:1
[97] eval-auc:0.698299 train-auc:1
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[100] eval-auc:0.696984 train-auc:1
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[102] eval-auc:0.696541 train-auc:1
[103] eval-auc:0.696911 train-auc:1
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[105] eval-auc:0.697663 train-auc:1
[106] eval-auc:0.697956 train-auc:1
[107] eval-auc:0.697836 train-auc:1
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[110] eval-auc:0.698107 train-auc:1
[111] eval-auc:0.698469 train-auc:1
[112] eval-auc:0.698184 train-auc:1
[113] eval-auc:0.69878 train-auc:1
[114] eval-auc:0.698871 train-auc:1
[115] eval-auc:0.698649 train-auc:1
[116] eval-auc:0.698629 train-auc:1
[117] eval-auc:0.698972 train-auc:1
[118] eval-auc:0.699008 train-auc:1
[119] eval-auc:0.698688 train-auc:1
[120] eval-auc:0.698069 train-auc:1
[121] eval-auc:0.698055 train-auc:1
[122] eval-auc:0.698311 train-auc:1
[123] eval-auc:0.698551 train-auc:1
[124] eval-auc:0.698326 train-auc:1
[125] eval-auc:0.698232 train-auc:1
[126] eval-auc:0.698504 train-auc:1
[127] eval-auc:0.698576 train-auc:1
[128] eval-auc:0.698769 train-auc:1
[129] eval-auc:0.698576 train-auc:1
[130] eval-auc:0.698457 train-auc:1
[131] eval-auc:0.698302 train-auc:1
[132] eval-auc:0.698873 train-auc:1
[133] eval-auc:0.698682 train-auc:1
[134] eval-auc:0.699074 train-auc:1
[135] eval-auc:0.699016 train-auc:1
[136] eval-auc:0.699083 train-auc:1
[137] eval-auc:0.698917 train-auc:1
[138] eval-auc:0.699028 train-auc:1
[139] eval-auc:0.69927 train-auc:1
[140] eval-auc:0.69941 train-auc:1
[141] eval-auc:0.698918 train-auc:1
[142] eval-auc:0.698638 train-auc:1
[143] eval-auc:0.69885 train-auc:1
[144] eval-auc:0.699272 train-auc:1
[145] eval-auc:0.699118 train-auc:1
[146] eval-auc:0.699026 train-auc:1
[147] eval-auc:0.69908 train-auc:1
[148] eval-auc:0.698885 train-auc:1
[149] eval-auc:0.698565 train-auc:1
[150] eval-auc:0.699029 train-auc:1
[151] eval-auc:0.699138 train-auc:1
[152] eval-auc:0.698755 train-auc:1
[153] eval-auc:0.698161 train-auc:1
[154] eval-auc:0.698426 train-auc:1
[155] eval-auc:0.698189 train-auc:1
[156] eval-auc:0.698373 train-auc:1
[157] eval-auc:0.698464 train-auc:1
[158] eval-auc:0.69862 train-auc:1
[159] eval-auc:0.69894 train-auc:1
[160] eval-auc:0.699276 train-auc:1
[161] eval-auc:0.698839 train-auc:1
[162] eval-auc:0.698795 train-auc:1
[163] eval-auc:0.698541 train-auc:1
[164] eval-auc:0.69871 train-auc:1
[165] eval-auc:0.699092 train-auc:1
[166] eval-auc:0.698935 train-auc:1
[167] eval-auc:0.698947 train-auc:1
[168] eval-auc:0.699179 train-auc:1
[169] eval-auc:0.699731 train-auc:1
[170] eval-auc:0.699763 train-auc:1
[171] eval-auc:0.699733 train-auc:1
[172] eval-auc:0.699541 train-auc:1
[173] eval-auc:0.699573 train-auc:1
[174] eval-auc:0.699978 train-auc:1
[175] eval-auc:0.699701 train-auc:1
[176] eval-auc:0.699409 train-auc:1
[177] eval-auc:0.699224 train-auc:1
[178] eval-auc:0.699287 train-auc:1
[179] eval-auc:0.699282 train-auc:1
[180] eval-auc:0.699128 train-auc:1
[181] eval-auc:0.699203 train-auc:1
[182] eval-auc:0.699087 train-auc:1
[183] eval-auc:0.698962 train-auc:1
[184] eval-auc:0.698679 train-auc:1
[185] eval-auc:0.698647 train-auc:1
[186] eval-auc:0.698664 train-auc:1
[187] eval-auc:0.698737 train-auc:1
[188] eval-auc:0.698883 train-auc:1
[189] eval-auc:0.698883 train-auc:1
[190] eval-auc:0.699081 train-auc:1
[191] eval-auc:0.698921 train-auc:1
[192] eval-auc:0.69904 train-auc:1
[193] eval-auc:0.698918 train-auc:1
[194] eval-auc:0.698659 train-auc:1
[195] eval-auc:0.698786 train-auc:1
[196] eval-auc:0.699042 train-auc:1
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[198] eval-auc:0.698518 train-auc:1
[199] eval-auc:0.69862 train-auc:1
[200] eval-auc:0.698585 train-auc:1
[201] eval-auc:0.698524 train-auc:1
[202] eval-auc:0.698583 train-auc:1
[203] eval-auc:0.698024 train-auc:1
[204] eval-auc:0.698002 train-auc:1
[205] eval-auc:0.697593 train-auc:1
[206] eval-auc:0.697307 train-auc:1
[207] eval-auc:0.697307 train-auc:1
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[261] eval-auc:0.695445 train-auc:1
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[280] eval-auc:0.695283 train-auc:1
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[282] eval-auc:0.695541 train-auc:1
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[285] eval-auc:0.69573 train-auc:1
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[288] eval-auc:0.695078 train-auc:1
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[293] eval-auc:0.69521 train-auc:1
[294] eval-auc:0.69521 train-auc:1
[295] eval-auc:0.695521 train-auc:1
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[316] eval-auc:0.697488 train-auc:1
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[323] eval-auc:0.69763 train-auc:1
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[325] eval-auc:0.697828 train-auc:1
[326] eval-auc:0.697604 train-auc:1
[327] eval-auc:0.697767 train-auc:1
[328] eval-auc:0.697785 train-auc:1
[329] eval-auc:0.697785 train-auc:1
[330] eval-auc:0.697752 train-auc:1
[331] eval-auc:0.697645 train-auc:1
[332] eval-auc:0.697609 train-auc:1
[333] eval-auc:0.69749 train-auc:1
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[335] eval-auc:0.697627 train-auc:1
[336] eval-auc:0.69758 train-auc:1
[337] eval-auc:0.697817 train-auc:1
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[339] eval-auc:0.697839 train-auc:1
[340] eval-auc:0.698044 train-auc:1
[341] eval-auc:0.698096 train-auc:1
[342] eval-auc:0.698196 train-auc:1
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[350] eval-auc:0.698084 train-auc:1
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[352] eval-auc:0.698116 train-auc:1
[353] eval-auc:0.698565 train-auc:1
[354] eval-auc:0.69867 train-auc:1
[355] eval-auc:0.69879 train-auc:1
[356] eval-auc:0.698801 train-auc:1
[357] eval-auc:0.69946 train-auc:1
[358] eval-auc:0.699515 train-auc:1
[359] eval-auc:0.699546 train-auc:1
[360] eval-auc:0.699392 train-auc:1
[361] eval-auc:0.699375 train-auc:1
[362] eval-auc:0.699582 train-auc:1
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[364] eval-auc:0.69961 train-auc:1
[365] eval-auc:0.699427 train-auc:1
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[370] eval-auc:0.699055 train-auc:1
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[374] eval-auc:0.699031 train-auc:1
[375] eval-auc:0.699197 train-auc:1
[376] eval-auc:0.699646 train-auc:1
[377] eval-auc:0.699841 train-auc:1
[378] eval-auc:0.699841 train-auc:1
[379] eval-auc:0.699992 train-auc:1
[380] eval-auc:0.699734 train-auc:1
[381] eval-auc:0.699891 train-auc:1
[382] eval-auc:0.699884 train-auc:1
[383] eval-auc:0.699967 train-auc:1
[384] eval-auc:0.699707 train-auc:1
[385] eval-auc:0.699888 train-auc:1
[386] eval-auc:0.6998 train-auc:1
[387] eval-auc:0.699794 train-auc:1
[388] eval-auc:0.699603 train-auc:1
[389] eval-auc:0.699593 train-auc:1
[390] eval-auc:0.699512 train-auc:1
[391] eval-auc:0.699698 train-auc:1
[392] eval-auc:0.699698 train-auc:1
[393] eval-auc:0.699795 train-auc:1
[394] eval-auc:0.699861 train-auc:1
[395] eval-auc:0.69983 train-auc:1
[396] eval-auc:0.699744 train-auc:1
[397] eval-auc:0.699744 train-auc:1
[398] eval-auc:0.699744 train-auc:1
[399] eval-auc:0.699715 train-auc:1
[400] eval-auc:0.699882 train-auc:1
[401] eval-auc:0.699835 train-auc:1
[402] eval-auc:0.699759 train-auc:1
[403] eval-auc:0.699868 train-auc:1
[404] eval-auc:0.699996 train-auc:1
[405] eval-auc:0.700057 train-auc:1
[406] eval-auc:0.700103 train-auc:1
[407] eval-auc:0.700082 train-auc:1
[408] eval-auc:0.700082 train-auc:1
[409] eval-auc:0.69996 train-auc:1
[410] eval-auc:0.700275 train-auc:1
[411] eval-auc:0.699948 train-auc:1
[412] eval-auc:0.69953 train-auc:1
[413] eval-auc:0.699492 train-auc:1
[414] eval-auc:0.699482 train-auc:1
[415] eval-auc:0.699192 train-auc:1
[416] eval-auc:0.699075 train-auc:1
[417] eval-auc:0.699212 train-auc:1
[418] eval-auc:0.69922 train-auc:1
[419] eval-auc:0.699375 train-auc:1
[420] eval-auc:0.69946 train-auc:1
[421] eval-auc:0.699364 train-auc:1
[422] eval-auc:0.699401 train-auc:1
[423] eval-auc:0.699372 train-auc:1
[424] eval-auc:0.699287 train-auc:1
[425] eval-auc:0.699287 train-auc:1
[426] eval-auc:0.699186 train-auc:1
[427] eval-auc:0.699077 train-auc:1
[428] eval-auc:0.699077 train-auc:1
[429] eval-auc:0.699119 train-auc:1
[430] eval-auc:0.699025 train-auc:1
[431] eval-auc:0.699025 train-auc:1
[432] eval-auc:0.698964 train-auc:1
[433] eval-auc:0.698748 train-auc:1
[434] eval-auc:0.698888 train-auc:1
[435] eval-auc:0.698997 train-auc:1
[436] eval-auc:0.699043 train-auc:1
[437] eval-auc:0.699043 train-auc:1
[438] eval-auc:0.699066 train-auc:1
[439] eval-auc:0.699122 train-auc:1
[440] eval-auc:0.699153 train-auc:1
[441] eval-auc:0.699043 train-auc:1
[442] eval-auc:0.699042 train-auc:1
[443] eval-auc:0.699267 train-auc:1
[444] eval-auc:0.699343 train-auc:1
[445] eval-auc:0.699367 train-auc:1
[446] eval-auc:0.699367 train-auc:1
[447] eval-auc:0.699367 train-auc:1
[448] eval-auc:0.699367 train-auc:1
[449] eval-auc:0.699192 train-auc:1
[450] eval-auc:0.699276 train-auc:1
[451] eval-auc:0.699387 train-auc:1
[452] eval-auc:0.699447 train-auc:1
[453] eval-auc:0.699622 train-auc:1
[454] eval-auc:0.699584 train-auc:1
[455] eval-auc:0.69934 train-auc:1
[456] eval-auc:0.699252 train-auc:1
[457] eval-auc:0.699138 train-auc:1
[458] eval-auc:0.699072 train-auc:1
[459] eval-auc:0.698787 train-auc:1
[460] eval-auc:0.698667 train-auc:1
[461] eval-auc:0.698638 train-auc:1
[462] eval-auc:0.698667 train-auc:1
[463] eval-auc:0.698644 train-auc:1
[464] eval-auc:0.698685 train-auc:1
[465] eval-auc:0.698653 train-auc:1
[466] eval-auc:0.698544 train-auc:1
[467] eval-auc:0.698679 train-auc:1
[468] eval-auc:0.698612 train-auc:1
[469] eval-auc:0.698598 train-auc:1
[470] eval-auc:0.698534 train-auc:1
[471] eval-auc:0.698314 train-auc:1
[472] eval-auc:0.698373 train-auc:1
[473] eval-auc:0.698422 train-auc:1
[474] eval-auc:0.698158 train-auc:1
[475] eval-auc:0.698158 train-auc:1
[476] eval-auc:0.698072 train-auc:1
[477] eval-auc:0.698072 train-auc:1
[478] eval-auc:0.698107 train-auc:1
[479] eval-auc:0.698107 train-auc:1
[480] eval-auc:0.698032 train-auc:1
[481] eval-auc:0.698222 train-auc:1
[482] eval-auc:0.69828 train-auc:1
[483] eval-auc:0.698209 train-auc:1
[484] eval-auc:0.698291 train-auc:1
[485] eval-auc:0.698213 train-auc:1
[486] eval-auc:0.69802 train-auc:1
[487] eval-auc:0.69802 train-auc:1
[488] eval-auc:0.697991 train-auc:1
Score 0.6979909001206008
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.65, 'eta': 0.125, 'eval_metric': 'auc', 'gamma': 0.9500000000000001, 'max_depth': 5, 'min_child_weight': 4.0, 'n_estimators': 120.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.7000000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.630569 train-auc:0.705283
[1] eval-auc:0.667176 train-auc:0.738094
[2] eval-auc:0.66593 train-auc:0.761349
[3] eval-auc:0.669488 train-auc:0.766541
[4] eval-auc:0.684882 train-auc:0.78388
[5] eval-auc:0.683844 train-auc:0.790361
[6] eval-auc:0.689011 train-auc:0.795075
[7] eval-auc:0.6866 train-auc:0.798249
[8] eval-auc:0.688968 train-auc:0.810099
[9] eval-auc:0.684339 train-auc:0.817286
[10] eval-auc:0.682234 train-auc:0.822749
[11] eval-auc:0.683166 train-auc:0.825329
[12] eval-auc:0.683843 train-auc:0.827747
[13] eval-auc:0.687485 train-auc:0.827558
[14] eval-auc:0.68818 train-auc:0.829218
[15] eval-auc:0.687412 train-auc:0.833736
[16] eval-auc:0.685104 train-auc:0.83629
[17] eval-auc:0.689436 train-auc:0.845105
[18] eval-auc:0.690176 train-auc:0.847938
[19] eval-auc:0.690561 train-auc:0.853021
[20] eval-auc:0.692325 train-auc:0.85495
[21] eval-auc:0.692396 train-auc:0.857831
[22] eval-auc:0.692903 train-auc:0.863829
[23] eval-auc:0.69212 train-auc:0.864534
[24] eval-auc:0.687969 train-auc:0.867736
[25] eval-auc:0.686395 train-auc:0.872183
[26] eval-auc:0.686562 train-auc:0.873392
[27] eval-auc:0.683504 train-auc:0.876991
[28] eval-auc:0.684241 train-auc:0.878964
[29] eval-auc:0.681424 train-auc:0.880559
[30] eval-auc:0.681405 train-auc:0.884899
[31] eval-auc:0.681387 train-auc:0.887085
[32] eval-auc:0.680384 train-auc:0.890421
[33] eval-auc:0.679436 train-auc:0.891311
[34] eval-auc:0.678984 train-auc:0.893393
[35] eval-auc:0.678795 train-auc:0.895776
[36] eval-auc:0.68079 train-auc:0.896795
[37] eval-auc:0.681184 train-auc:0.899203
[38] eval-auc:0.680379 train-auc:0.901265
[39] eval-auc:0.68099 train-auc:0.901751
[40] eval-auc:0.680679 train-auc:0.90393
[41] eval-auc:0.679199 train-auc:0.905927
[42] eval-auc:0.678768 train-auc:0.90858
[43] eval-auc:0.678011 train-auc:0.910612
[44] eval-auc:0.680546 train-auc:0.91488
[45] eval-auc:0.682033 train-auc:0.915752
[46] eval-auc:0.681245 train-auc:0.918275
[47] eval-auc:0.679561 train-auc:0.919684
[48] eval-auc:0.678646 train-auc:0.922245
[49] eval-auc:0.678666 train-auc:0.924013
[50] eval-auc:0.67973 train-auc:0.925549
[51] eval-auc:0.679688 train-auc:0.925804
[52] eval-auc:0.680088 train-auc:0.926751
[53] eval-auc:0.681698 train-auc:0.928456
[54] eval-auc:0.680591 train-auc:0.931263
[55] eval-auc:0.680705 train-auc:0.932861
[56] eval-auc:0.680182 train-auc:0.932928
[57] eval-auc:0.68038 train-auc:0.934005
[58] eval-auc:0.68201 train-auc:0.934521
[59] eval-auc:0.681684 train-auc:0.934766
[60] eval-auc:0.680685 train-auc:0.935714
[61] eval-auc:0.680146 train-auc:0.936285
[62] eval-auc:0.68012 train-auc:0.936975
[63] eval-auc:0.680638 train-auc:0.9376
[64] eval-auc:0.681116 train-auc:0.938526
[65] eval-auc:0.680875 train-auc:0.938301
[66] eval-auc:0.680752 train-auc:0.938953
[67] eval-auc:0.681427 train-auc:0.940555
[68] eval-auc:0.681297 train-auc:0.94117
[69] eval-auc:0.68102 train-auc:0.941585
[70] eval-auc:0.680347 train-auc:0.941815
[71] eval-auc:0.680613 train-auc:0.943087
[72] eval-auc:0.681279 train-auc:0.943741
[73] eval-auc:0.680926 train-auc:0.944873
[74] eval-auc:0.682297 train-auc:0.945736
[75] eval-auc:0.682369 train-auc:0.945901
[76] eval-auc:0.682275 train-auc:0.946487
[77] eval-auc:0.681489 train-auc:0.946854
[78] eval-auc:0.681462 train-auc:0.947882
[79] eval-auc:0.681366 train-auc:0.94941
[80] eval-auc:0.681615 train-auc:0.950466
[81] eval-auc:0.682104 train-auc:0.951629
[82] eval-auc:0.68232 train-auc:0.951788
[83] eval-auc:0.68086 train-auc:0.95274
[84] eval-auc:0.680697 train-auc:0.9534
[85] eval-auc:0.680945 train-auc:0.954351
[86] eval-auc:0.682205 train-auc:0.954642
[87] eval-auc:0.68329 train-auc:0.956111
[88] eval-auc:0.683531 train-auc:0.956883
[89] eval-auc:0.683636 train-auc:0.957607
[90] eval-auc:0.683086 train-auc:0.958363
[91] eval-auc:0.682896 train-auc:0.959424
[92] eval-auc:0.682623 train-auc:0.959965
[93] eval-auc:0.682846 train-auc:0.960131
[94] eval-auc:0.682196 train-auc:0.961767
[95] eval-auc:0.682138 train-auc:0.962401
[96] eval-auc:0.682555 train-auc:0.962857
[97] eval-auc:0.682193 train-auc:0.963267
[98] eval-auc:0.682301 train-auc:0.96375
[99] eval-auc:0.682768 train-auc:0.964074
[100] eval-auc:0.683301 train-auc:0.964113
[101] eval-auc:0.682898 train-auc:0.964945
[102] eval-auc:0.682957 train-auc:0.965181
[103] eval-auc:0.684423 train-auc:0.96615
[104] eval-auc:0.684673 train-auc:0.967192
[105] eval-auc:0.684247 train-auc:0.967633
[106] eval-auc:0.684343 train-auc:0.968024
[107] eval-auc:0.683842 train-auc:0.968069
[108] eval-auc:0.682808 train-auc:0.968625
[109] eval-auc:0.682407 train-auc:0.969072
[110] eval-auc:0.682678 train-auc:0.969524
[111] eval-auc:0.683286 train-auc:0.96991
[112] eval-auc:0.683137 train-auc:0.970371
[113] eval-auc:0.683178 train-auc:0.970435
[114] eval-auc:0.683012 train-auc:0.97099
[115] eval-auc:0.682541 train-auc:0.971596
[116] eval-auc:0.682413 train-auc:0.972223
[117] eval-auc:0.68262 train-auc:0.972884
[118] eval-auc:0.683322 train-auc:0.97354
[119] eval-auc:0.683394 train-auc:0.97392
Score 0.683393938286494
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.75, 'eta': 0.07500000000000001, 'eval_metric': 'auc', 'gamma': 1.0, 'max_depth': 10, 'min_child_weight': 3.0, 'n_estimators': 243.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.8, 'tree_method': 'exact'}
[0] eval-auc:0.602521 train-auc:0.785081
[1] eval-auc:0.618431 train-auc:0.865052
[2] eval-auc:0.624571 train-auc:0.902578
[3] eval-auc:0.637224 train-auc:0.918068
[4] eval-auc:0.665608 train-auc:0.938725
[5] eval-auc:0.660819 train-auc:0.951578
[6] eval-auc:0.666595 train-auc:0.957744
[7] eval-auc:0.663113 train-auc:0.961895
[8] eval-auc:0.669843 train-auc:0.96983
[9] eval-auc:0.675464 train-auc:0.973043
[10] eval-auc:0.677491 train-auc:0.977176
[11] eval-auc:0.675713 train-auc:0.979553
[12] eval-auc:0.676775 train-auc:0.982214
[13] eval-auc:0.67503 train-auc:0.983023
[14] eval-auc:0.679065 train-auc:0.985684
[15] eval-auc:0.680265 train-auc:0.98791
[16] eval-auc:0.677926 train-auc:0.988393
[17] eval-auc:0.687111 train-auc:0.99113
[18] eval-auc:0.683913 train-auc:0.991849
[19] eval-auc:0.690601 train-auc:0.993036
[20] eval-auc:0.690718 train-auc:0.993934
[21] eval-auc:0.691985 train-auc:0.994358
[22] eval-auc:0.693007 train-auc:0.994929
[23] eval-auc:0.696591 train-auc:0.995164
[24] eval-auc:0.699386 train-auc:0.995721
[25] eval-auc:0.696464 train-auc:0.996088
[26] eval-auc:0.69744 train-auc:0.996708
[27] eval-auc:0.702032 train-auc:0.99737
[28] eval-auc:0.700937 train-auc:0.997464
[29] eval-auc:0.70043 train-auc:0.997705
[30] eval-auc:0.698466 train-auc:0.998012
[31] eval-auc:0.698257 train-auc:0.998074
[32] eval-auc:0.698235 train-auc:0.998191
[33] eval-auc:0.698035 train-auc:0.998395
[34] eval-auc:0.698407 train-auc:0.998532
[35] eval-auc:0.701565 train-auc:0.998815
[36] eval-auc:0.702111 train-auc:0.998955
[37] eval-auc:0.700456 train-auc:0.999057
[38] eval-auc:0.701837 train-auc:0.999136
[39] eval-auc:0.700991 train-auc:0.999201
[40] eval-auc:0.700846 train-auc:0.999193
[41] eval-auc:0.697667 train-auc:0.999272
[42] eval-auc:0.696663 train-auc:0.999264
[43] eval-auc:0.696384 train-auc:0.999376
[44] eval-auc:0.698117 train-auc:0.999396
[45] eval-auc:0.698496 train-auc:0.999419
[46] eval-auc:0.699698 train-auc:0.999439
[47] eval-auc:0.700005 train-auc:0.999501
[48] eval-auc:0.69886 train-auc:0.999541
[49] eval-auc:0.698943 train-auc:0.999557
[50] eval-auc:0.698212 train-auc:0.999576
[51] eval-auc:0.696686 train-auc:0.999581
[52] eval-auc:0.696972 train-auc:0.999618
[53] eval-auc:0.696479 train-auc:0.999676
[54] eval-auc:0.696968 train-auc:0.99973
[55] eval-auc:0.697534 train-auc:0.999774
[56] eval-auc:0.6977 train-auc:0.999793
[57] eval-auc:0.696337 train-auc:0.999814
[58] eval-auc:0.697348 train-auc:0.999842
[59] eval-auc:0.700074 train-auc:0.999872
[60] eval-auc:0.703112 train-auc:0.999863
[61] eval-auc:0.702682 train-auc:0.999869
[62] eval-auc:0.701856 train-auc:0.999874
[63] eval-auc:0.703514 train-auc:0.999882
[64] eval-auc:0.703375 train-auc:0.999886
[65] eval-auc:0.705043 train-auc:0.999891
[66] eval-auc:0.70528 train-auc:0.999897
[67] eval-auc:0.703633 train-auc:0.999902
[68] eval-auc:0.702877 train-auc:0.999912
[69] eval-auc:0.702938 train-auc:0.999916
[70] eval-auc:0.703678 train-auc:0.999916
[71] eval-auc:0.703167 train-auc:0.999925
[72] eval-auc:0.703849 train-auc:0.999931
[73] eval-auc:0.702489 train-auc:0.99994
[74] eval-auc:0.702583 train-auc:0.999945
[75] eval-auc:0.70333 train-auc:0.999947
[76] eval-auc:0.704054 train-auc:0.99995
[77] eval-auc:0.704319 train-auc:0.99995
[78] eval-auc:0.703972 train-auc:0.999944
[79] eval-auc:0.7041 train-auc:0.999952
[80] eval-auc:0.704968 train-auc:0.999952
[81] eval-auc:0.704999 train-auc:0.999955
[82] eval-auc:0.705093 train-auc:0.999955
[83] eval-auc:0.705134 train-auc:0.999961
[84] eval-auc:0.707015 train-auc:0.999963
[85] eval-auc:0.707171 train-auc:0.999964
[86] eval-auc:0.707202 train-auc:0.999967
[87] eval-auc:0.70764 train-auc:0.999969
[88] eval-auc:0.707369 train-auc:0.999976
[89] eval-auc:0.706896 train-auc:0.999975
[90] eval-auc:0.706745 train-auc:0.999979
[91] eval-auc:0.70655 train-auc:0.999986
[92] eval-auc:0.706537 train-auc:0.999984
[93] eval-auc:0.707038 train-auc:0.999984
[94] eval-auc:0.706357 train-auc:0.999985
[95] eval-auc:0.70519 train-auc:0.999987
[96] eval-auc:0.704826 train-auc:0.999989
[97] eval-auc:0.704785 train-auc:0.999989
[98] eval-auc:0.704974 train-auc:0.999991
[99] eval-auc:0.705247 train-auc:0.999991
[100] eval-auc:0.70639 train-auc:0.999991
[101] eval-auc:0.705804 train-auc:0.999991
[102] eval-auc:0.705457 train-auc:0.999991
[103] eval-auc:0.705562 train-auc:0.999991
[104] eval-auc:0.705474 train-auc:0.999992
[105] eval-auc:0.704737 train-auc:0.999994
[106] eval-auc:0.704278 train-auc:0.999994
[107] eval-auc:0.704565 train-auc:0.999995
[108] eval-auc:0.704587 train-auc:0.999996
[109] eval-auc:0.704794 train-auc:0.999996
[110] eval-auc:0.705554 train-auc:0.999997
[111] eval-auc:0.705148 train-auc:0.999997
[112] eval-auc:0.704781 train-auc:0.999997
[113] eval-auc:0.704307 train-auc:0.999998
[114] eval-auc:0.704021 train-auc:0.999998
[115] eval-auc:0.703147 train-auc:0.999998
[116] eval-auc:0.703461 train-auc:0.999999
[117] eval-auc:0.70393 train-auc:0.999999
[118] eval-auc:0.703706 train-auc:1
[119] eval-auc:0.703783 train-auc:1
[120] eval-auc:0.703939 train-auc:1
[121] eval-auc:0.703359 train-auc:1
[122] eval-auc:0.703546 train-auc:1
[123] eval-auc:0.703115 train-auc:1
[124] eval-auc:0.702748 train-auc:1
[125] eval-auc:0.703351 train-auc:1
[126] eval-auc:0.702652 train-auc:1
[127] eval-auc:0.702746 train-auc:1
[128] eval-auc:0.702558 train-auc:1
[129] eval-auc:0.703063 train-auc:1
[130] eval-auc:0.703585 train-auc:1
[131] eval-auc:0.70356 train-auc:1
[132] eval-auc:0.703369 train-auc:1
[133] eval-auc:0.703254 train-auc:1
[134] eval-auc:0.703751 train-auc:1
[135] eval-auc:0.703059 train-auc:1
[136] eval-auc:0.702952 train-auc:1
[137] eval-auc:0.703078 train-auc:1
[138] eval-auc:0.703628 train-auc:1
[139] eval-auc:0.703789 train-auc:1
[140] eval-auc:0.703552 train-auc:1
[141] eval-auc:0.703042 train-auc:1
[142] eval-auc:0.702772 train-auc:1
[143] eval-auc:0.702427 train-auc:1
[144] eval-auc:0.703004 train-auc:1
[145] eval-auc:0.702957 train-auc:1
[146] eval-auc:0.703031 train-auc:1
[147] eval-auc:0.703384 train-auc:1
[148] eval-auc:0.703477 train-auc:1
[149] eval-auc:0.703097 train-auc:1
[150] eval-auc:0.703013 train-auc:1
[151] eval-auc:0.703028 train-auc:1
[152] eval-auc:0.702929 train-auc:1
[153] eval-auc:0.702821 train-auc:1
[154] eval-auc:0.702663 train-auc:1
[155] eval-auc:0.702969 train-auc:1
[156] eval-auc:0.703359 train-auc:1
[157] eval-auc:0.703456 train-auc:1
[158] eval-auc:0.703308 train-auc:1
[159] eval-auc:0.703489 train-auc:1
[160] eval-auc:0.702908 train-auc:1
[161] eval-auc:0.702935 train-auc:1
[162] eval-auc:0.703276 train-auc:1
[163] eval-auc:0.702411 train-auc:1
[164] eval-auc:0.702746 train-auc:1
[165] eval-auc:0.702906 train-auc:1
[166] eval-auc:0.703104 train-auc:1
[167] eval-auc:0.702868 train-auc:1
[168] eval-auc:0.702824 train-auc:1
[169] eval-auc:0.703278 train-auc:1
[170] eval-auc:0.703404 train-auc:1
[171] eval-auc:0.703407 train-auc:1
[172] eval-auc:0.703438 train-auc:1
[173] eval-auc:0.703225 train-auc:1
[174] eval-auc:0.703496 train-auc:1
[175] eval-auc:0.704068 train-auc:1
[176] eval-auc:0.704255 train-auc:1
[177] eval-auc:0.704254 train-auc:1
[178] eval-auc:0.704667 train-auc:1
[179] eval-auc:0.704816 train-auc:1
[180] eval-auc:0.704794 train-auc:1
[181] eval-auc:0.705169 train-auc:1
[182] eval-auc:0.705034 train-auc:1
[183] eval-auc:0.705163 train-auc:1
[184] eval-auc:0.705376 train-auc:1
[185] eval-auc:0.704915 train-auc:1
[186] eval-auc:0.706278 train-auc:1
[187] eval-auc:0.706046 train-auc:1
[188] eval-auc:0.706398 train-auc:1
[189] eval-auc:0.706462 train-auc:1
[190] eval-auc:0.706463 train-auc:1
[191] eval-auc:0.706617 train-auc:1
[192] eval-auc:0.706674 train-auc:1
[193] eval-auc:0.706684 train-auc:1
[194] eval-auc:0.706733 train-auc:1
[195] eval-auc:0.707295 train-auc:1
[196] eval-auc:0.707121 train-auc:1
[197] eval-auc:0.707158 train-auc:1
[198] eval-auc:0.707092 train-auc:1
[199] eval-auc:0.707152 train-auc:1
[200] eval-auc:0.706969 train-auc:1
[201] eval-auc:0.706894 train-auc:1
[202] eval-auc:0.706917 train-auc:1
[203] eval-auc:0.706765 train-auc:1
[204] eval-auc:0.706699 train-auc:1
[205] eval-auc:0.706718 train-auc:1
[206] eval-auc:0.706588 train-auc:1
[207] eval-auc:0.706332 train-auc:1
[208] eval-auc:0.70653 train-auc:1
[209] eval-auc:0.706074 train-auc:1
[210] eval-auc:0.706031 train-auc:1
[211] eval-auc:0.705997 train-auc:1
[212] eval-auc:0.705673 train-auc:1
[213] eval-auc:0.705694 train-auc:1
[214] eval-auc:0.705766 train-auc:1
[215] eval-auc:0.705959 train-auc:1
[216] eval-auc:0.705744 train-auc:1
[217] eval-auc:0.705396 train-auc:1
[218] eval-auc:0.705407 train-auc:1
[219] eval-auc:0.705839 train-auc:1
[220] eval-auc:0.705874 train-auc:1
[221] eval-auc:0.705489 train-auc:1
[222] eval-auc:0.706462 train-auc:1
[223] eval-auc:0.706632 train-auc:1
[224] eval-auc:0.706326 train-auc:1
[225] eval-auc:0.705978 train-auc:1
[226] eval-auc:0.706174 train-auc:1
[227] eval-auc:0.706314 train-auc:1
[228] eval-auc:0.706291 train-auc:1
[229] eval-auc:0.706383 train-auc:1
[230] eval-auc:0.706042 train-auc:1
[231] eval-auc:0.706304 train-auc:1
[232] eval-auc:0.706514 train-auc:1
[233] eval-auc:0.70682 train-auc:1
[234] eval-auc:0.706584 train-auc:1
[235] eval-auc:0.706395 train-auc:1
[236] eval-auc:0.706319 train-auc:1
[237] eval-auc:0.706054 train-auc:1
[238] eval-auc:0.705926 train-auc:1
[239] eval-auc:0.705693 train-auc:1
[240] eval-auc:0.705883 train-auc:1
[241] eval-auc:0.705996 train-auc:1
[242] eval-auc:0.706249 train-auc:1
Score 0.7062487056731108
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9500000000000001, 'eta': 0.25, 'eval_metric': 'auc', 'gamma': 0.8, 'max_depth': 2, 'min_child_weight': 2.0, 'n_estimators': 155.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.8500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.66595 train-auc:0.688767
[1] eval-auc:0.66223 train-auc:0.692877
[2] eval-auc:0.692349 train-auc:0.712481
[3] eval-auc:0.699969 train-auc:0.712731
[4] eval-auc:0.691467 train-auc:0.714479
[5] eval-auc:0.693985 train-auc:0.709588
[6] eval-auc:0.695492 train-auc:0.715475
[7] eval-auc:0.701831 train-auc:0.717542
[8] eval-auc:0.702547 train-auc:0.721838
[9] eval-auc:0.70122 train-auc:0.723606
[10] eval-auc:0.701801 train-auc:0.72677
[11] eval-auc:0.703135 train-auc:0.729571
[12] eval-auc:0.704105 train-auc:0.727545
[13] eval-auc:0.705584 train-auc:0.728121
[14] eval-auc:0.702279 train-auc:0.728628
[15] eval-auc:0.699364 train-auc:0.727947
[16] eval-auc:0.701773 train-auc:0.731653
[17] eval-auc:0.702504 train-auc:0.732121
[18] eval-auc:0.702665 train-auc:0.732464
[19] eval-auc:0.702959 train-auc:0.733649
[20] eval-auc:0.703576 train-auc:0.734726
[21] eval-auc:0.704227 train-auc:0.735105
[22] eval-auc:0.7055 train-auc:0.738308
[23] eval-auc:0.706782 train-auc:0.738549
[24] eval-auc:0.707044 train-auc:0.740984
[25] eval-auc:0.708171 train-auc:0.74202
[26] eval-auc:0.709421 train-auc:0.743315
[27] eval-auc:0.710476 train-auc:0.744618
[28] eval-auc:0.708905 train-auc:0.743867
[29] eval-auc:0.710883 train-auc:0.745329
[30] eval-auc:0.711285 train-auc:0.746517
[31] eval-auc:0.711157 train-auc:0.748088
[32] eval-auc:0.711629 train-auc:0.750381
[33] eval-auc:0.710532 train-auc:0.7509
[34] eval-auc:0.711804 train-auc:0.752294
[35] eval-auc:0.712387 train-auc:0.754237
[36] eval-auc:0.714008 train-auc:0.757158
[37] eval-auc:0.713223 train-auc:0.758845
[38] eval-auc:0.713092 train-auc:0.759112
[39] eval-auc:0.712641 train-auc:0.759387
[40] eval-auc:0.712423 train-auc:0.760327
[41] eval-auc:0.711702 train-auc:0.761099
[42] eval-auc:0.712423 train-auc:0.762459
[43] eval-auc:0.711486 train-auc:0.764095
[44] eval-auc:0.710853 train-auc:0.764029
[45] eval-auc:0.710778 train-auc:0.766503
[46] eval-auc:0.709523 train-auc:0.764994
[47] eval-auc:0.710084 train-auc:0.766959
[48] eval-auc:0.710382 train-auc:0.76863
[49] eval-auc:0.709878 train-auc:0.769558
[50] eval-auc:0.707451 train-auc:0.770627
[51] eval-auc:0.707567 train-auc:0.772464
[52] eval-auc:0.708146 train-auc:0.773243
[53] eval-auc:0.708039 train-auc:0.774713
[54] eval-auc:0.707548 train-auc:0.775299
[55] eval-auc:0.70763 train-auc:0.775643
[56] eval-auc:0.708317 train-auc:0.777407
[57] eval-auc:0.708291 train-auc:0.778195
[58] eval-auc:0.707535 train-auc:0.779185
[59] eval-auc:0.707626 train-auc:0.780394
[60] eval-auc:0.706531 train-auc:0.781318
[61] eval-auc:0.707388 train-auc:0.783062
[62] eval-auc:0.707623 train-auc:0.785696
[63] eval-auc:0.706996 train-auc:0.787136
[64] eval-auc:0.706717 train-auc:0.789522
[65] eval-auc:0.706549 train-auc:0.788833
[66] eval-auc:0.705657 train-auc:0.789573
[67] eval-auc:0.706626 train-auc:0.790949
[68] eval-auc:0.708041 train-auc:0.791734
[69] eval-auc:0.708131 train-auc:0.792746
[70] eval-auc:0.707511 train-auc:0.793068
[71] eval-auc:0.707605 train-auc:0.794091
[72] eval-auc:0.708297 train-auc:0.79479
[73] eval-auc:0.707366 train-auc:0.794386
[74] eval-auc:0.709498 train-auc:0.79655
[75] eval-auc:0.710113 train-auc:0.798471
[76] eval-auc:0.710264 train-auc:0.798202
[77] eval-auc:0.707328 train-auc:0.798762
[78] eval-auc:0.705579 train-auc:0.799723
[79] eval-auc:0.705391 train-auc:0.80088
[80] eval-auc:0.70515 train-auc:0.801005
[81] eval-auc:0.705564 train-auc:0.802485
[82] eval-auc:0.705471 train-auc:0.802398
[83] eval-auc:0.705356 train-auc:0.80245
[84] eval-auc:0.705576 train-auc:0.804084
[85] eval-auc:0.704676 train-auc:0.804989
[86] eval-auc:0.705571 train-auc:0.806205
[87] eval-auc:0.704846 train-auc:0.807084
[88] eval-auc:0.70363 train-auc:0.807573
[89] eval-auc:0.702794 train-auc:0.808296
[90] eval-auc:0.701786 train-auc:0.808547
[91] eval-auc:0.70259 train-auc:0.809466
[92] eval-auc:0.701901 train-auc:0.810034
[93] eval-auc:0.70218 train-auc:0.810718
[94] eval-auc:0.701423 train-auc:0.811635
[95] eval-auc:0.70124 train-auc:0.810538
[96] eval-auc:0.701368 train-auc:0.810884
[97] eval-auc:0.701505 train-auc:0.811229
[98] eval-auc:0.700627 train-auc:0.81257
[99] eval-auc:0.700965 train-auc:0.813082
[100] eval-auc:0.700261 train-auc:0.813075
[101] eval-auc:0.698538 train-auc:0.813829
[102] eval-auc:0.697077 train-auc:0.81464
[103] eval-auc:0.69657 train-auc:0.815393
[104] eval-auc:0.697004 train-auc:0.816112
[105] eval-auc:0.697176 train-auc:0.817057
[106] eval-auc:0.695183 train-auc:0.817562
[107] eval-auc:0.694444 train-auc:0.818203
[108] eval-auc:0.695072 train-auc:0.818878
[109] eval-auc:0.69578 train-auc:0.819228
[110] eval-auc:0.695774 train-auc:0.819655
[111] eval-auc:0.695585 train-auc:0.820229
[112] eval-auc:0.6971 train-auc:0.821765
[113] eval-auc:0.697526 train-auc:0.822337
[114] eval-auc:0.696529 train-auc:0.823176
[115] eval-auc:0.697418 train-auc:0.824266
[116] eval-auc:0.697639 train-auc:0.824669
[117] eval-auc:0.696986 train-auc:0.825158
[118] eval-auc:0.696789 train-auc:0.824703
[119] eval-auc:0.69751 train-auc:0.825303
[120] eval-auc:0.697569 train-auc:0.825198
[121] eval-auc:0.697589 train-auc:0.825879
[122] eval-auc:0.697522 train-auc:0.826045
[123] eval-auc:0.697705 train-auc:0.827273
[124] eval-auc:0.69723 train-auc:0.828602
[125] eval-auc:0.697857 train-auc:0.82982
[126] eval-auc:0.699165 train-auc:0.830313
[127] eval-auc:0.699922 train-auc:0.830693
[128] eval-auc:0.698286 train-auc:0.831578
[129] eval-auc:0.697884 train-auc:0.831802
[130] eval-auc:0.69744 train-auc:0.833236
[131] eval-auc:0.696919 train-auc:0.833659
[132] eval-auc:0.696619 train-auc:0.834798
[133] eval-auc:0.696627 train-auc:0.835038
[134] eval-auc:0.696218 train-auc:0.835567
[135] eval-auc:0.695804 train-auc:0.836002
[136] eval-auc:0.696257 train-auc:0.836738
[137] eval-auc:0.694846 train-auc:0.837249
[138] eval-auc:0.694935 train-auc:0.837765
[139] eval-auc:0.694128 train-auc:0.837764
[140] eval-auc:0.693985 train-auc:0.83794
[141] eval-auc:0.694382 train-auc:0.837873
[142] eval-auc:0.694365 train-auc:0.838665
[143] eval-auc:0.694425 train-auc:0.839358
[144] eval-auc:0.695527 train-auc:0.84057
[145] eval-auc:0.695483 train-auc:0.841213
[146] eval-auc:0.695098 train-auc:0.840898
[147] eval-auc:0.695559 train-auc:0.841484
[148] eval-auc:0.694566 train-auc:0.842542
[149] eval-auc:0.695089 train-auc:0.843325
[150] eval-auc:0.695801 train-auc:0.843933
[151] eval-auc:0.696327 train-auc:0.844593
[152] eval-auc:0.696159 train-auc:0.844394
[153] eval-auc:0.696523 train-auc:0.843989
[154] eval-auc:0.696132 train-auc:0.844262
Score 0.6961316376128348
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9500000000000001, 'eta': 0.17500000000000002, 'eval_metric': 'auc', 'gamma': 0.9, 'max_depth': 8, 'min_child_weight': 4.0, 'n_estimators': 193.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.692876 train-auc:0.820676
[1] eval-auc:0.688736 train-auc:0.874024
[2] eval-auc:0.699864 train-auc:0.904702
[3] eval-auc:0.705907 train-auc:0.92227
[4] eval-auc:0.706699 train-auc:0.93408
[5] eval-auc:0.70623 train-auc:0.946048
[6] eval-auc:0.711372 train-auc:0.95425
[7] eval-auc:0.710725 train-auc:0.960709
[8] eval-auc:0.713329 train-auc:0.970711
[9] eval-auc:0.711885 train-auc:0.973289
[10] eval-auc:0.709604 train-auc:0.97787
[11] eval-auc:0.709941 train-auc:0.98022
[12] eval-auc:0.707655 train-auc:0.982372
[13] eval-auc:0.706697 train-auc:0.984222
[14] eval-auc:0.70635 train-auc:0.986024
[15] eval-auc:0.705981 train-auc:0.9877
[16] eval-auc:0.708136 train-auc:0.989218
[17] eval-auc:0.707689 train-auc:0.990587
[18] eval-auc:0.708029 train-auc:0.991451
[19] eval-auc:0.708233 train-auc:0.991991
[20] eval-auc:0.709145 train-auc:0.993625
[21] eval-auc:0.707429 train-auc:0.994299
[22] eval-auc:0.704522 train-auc:0.994696
[23] eval-auc:0.70593 train-auc:0.994768
[24] eval-auc:0.70579 train-auc:0.994916
[25] eval-auc:0.705143 train-auc:0.995087
[26] eval-auc:0.70569 train-auc:0.995428
[27] eval-auc:0.70546 train-auc:0.99572
[28] eval-auc:0.705253 train-auc:0.99624
[29] eval-auc:0.704994 train-auc:0.99646
[30] eval-auc:0.705433 train-auc:0.997052
[31] eval-auc:0.705213 train-auc:0.997117
[32] eval-auc:0.704974 train-auc:0.997339
[33] eval-auc:0.706246 train-auc:0.9976
[34] eval-auc:0.705659 train-auc:0.997986
[35] eval-auc:0.703771 train-auc:0.998528
[36] eval-auc:0.704423 train-auc:0.998731
[37] eval-auc:0.704041 train-auc:0.998898
[38] eval-auc:0.703257 train-auc:0.998998
[39] eval-auc:0.702979 train-auc:0.999178
[40] eval-auc:0.702588 train-auc:0.999253
[41] eval-auc:0.703234 train-auc:0.999295
[42] eval-auc:0.701712 train-auc:0.999392
[43] eval-auc:0.701767 train-auc:0.999422
[44] eval-auc:0.699683 train-auc:0.999548
[45] eval-auc:0.70029 train-auc:0.999596
[46] eval-auc:0.700019 train-auc:0.999642
[47] eval-auc:0.699052 train-auc:0.999649
[48] eval-auc:0.697633 train-auc:0.999658
[49] eval-auc:0.697048 train-auc:0.999698
[50] eval-auc:0.696019 train-auc:0.9997
[51] eval-auc:0.696133 train-auc:0.999725
[52] eval-auc:0.696521 train-auc:0.999754
[53] eval-auc:0.696444 train-auc:0.999771
[54] eval-auc:0.695803 train-auc:0.999793
[55] eval-auc:0.695803 train-auc:0.999795
[56] eval-auc:0.695972 train-auc:0.999798
[57] eval-auc:0.69603 train-auc:0.999799
[58] eval-auc:0.696223 train-auc:0.999799
[59] eval-auc:0.695643 train-auc:0.999846
[60] eval-auc:0.69567 train-auc:0.999854
[61] eval-auc:0.695194 train-auc:0.999864
[62] eval-auc:0.694151 train-auc:0.999898
[63] eval-auc:0.694278 train-auc:0.999895
[64] eval-auc:0.694486 train-auc:0.999902
[65] eval-auc:0.694543 train-auc:0.999923
[66] eval-auc:0.693975 train-auc:0.999919
[67] eval-auc:0.694475 train-auc:0.999936
[68] eval-auc:0.69403 train-auc:0.999934
[69] eval-auc:0.694499 train-auc:0.999934
[70] eval-auc:0.69453 train-auc:0.999937
[71] eval-auc:0.695058 train-auc:0.999939
[72] eval-auc:0.695101 train-auc:0.999943
[73] eval-auc:0.695015 train-auc:0.999948
[74] eval-auc:0.695702 train-auc:0.999952
[75] eval-auc:0.696432 train-auc:0.999953
[76] eval-auc:0.696482 train-auc:0.999952
[77] eval-auc:0.6953 train-auc:0.999957
[78] eval-auc:0.694613 train-auc:0.999959
[79] eval-auc:0.694419 train-auc:0.999959
[80] eval-auc:0.69495 train-auc:0.999967
[81] eval-auc:0.694782 train-auc:0.999968
[82] eval-auc:0.693744 train-auc:0.999969
[83] eval-auc:0.693371 train-auc:0.999971
[84] eval-auc:0.694853 train-auc:0.999969
[85] eval-auc:0.695704 train-auc:0.99997
[86] eval-auc:0.695392 train-auc:0.999974
[87] eval-auc:0.695692 train-auc:0.999973
[88] eval-auc:0.695559 train-auc:0.999974
[89] eval-auc:0.695835 train-auc:0.999975
[90] eval-auc:0.695783 train-auc:0.999975
[91] eval-auc:0.696282 train-auc:0.999968
[92] eval-auc:0.697096 train-auc:0.999981
[93] eval-auc:0.696319 train-auc:0.999983
[94] eval-auc:0.696282 train-auc:0.999983
[95] eval-auc:0.695987 train-auc:0.999987
[96] eval-auc:0.695585 train-auc:0.999981
[97] eval-auc:0.695753 train-auc:0.999983
[98] eval-auc:0.69594 train-auc:0.999984
[99] eval-auc:0.695988 train-auc:0.999985
[100] eval-auc:0.696273 train-auc:0.999983
[101] eval-auc:0.697246 train-auc:0.999988
[102] eval-auc:0.696643 train-auc:0.999988
[103] eval-auc:0.696334 train-auc:0.99999
[104] eval-auc:0.695599 train-auc:0.999991
[105] eval-auc:0.694968 train-auc:0.999992
[106] eval-auc:0.695157 train-auc:0.999997
[107] eval-auc:0.695395 train-auc:0.999997
[108] eval-auc:0.695826 train-auc:0.999997
[109] eval-auc:0.695416 train-auc:0.999996
[110] eval-auc:0.695699 train-auc:0.999996
[111] eval-auc:0.695311 train-auc:0.999997
[112] eval-auc:0.695099 train-auc:0.999997
[113] eval-auc:0.694601 train-auc:0.999996
[114] eval-auc:0.694307 train-auc:0.999996
[115] eval-auc:0.693759 train-auc:0.999996
[116] eval-auc:0.693893 train-auc:0.999996
[117] eval-auc:0.693645 train-auc:0.999997
[118] eval-auc:0.694036 train-auc:0.999997
[119] eval-auc:0.69386 train-auc:0.999994
[120] eval-auc:0.693723 train-auc:0.999994
[121] eval-auc:0.693794 train-auc:0.999994
[122] eval-auc:0.69382 train-auc:0.999995
[123] eval-auc:0.693905 train-auc:0.999995
[124] eval-auc:0.693689 train-auc:0.999995
[125] eval-auc:0.693573 train-auc:0.999994
[126] eval-auc:0.693889 train-auc:0.999995
[127] eval-auc:0.693555 train-auc:0.999996
[128] eval-auc:0.693435 train-auc:0.999996
[129] eval-auc:0.693648 train-auc:0.999997
[130] eval-auc:0.693956 train-auc:0.999997
[131] eval-auc:0.693985 train-auc:0.999997
[132] eval-auc:0.694218 train-auc:0.999998
[133] eval-auc:0.693246 train-auc:0.999998
[134] eval-auc:0.693293 train-auc:0.999998
[135] eval-auc:0.692827 train-auc:0.999998
[136] eval-auc:0.693089 train-auc:0.999998
[137] eval-auc:0.691775 train-auc:0.999998
[138] eval-auc:0.692326 train-auc:0.999998
[139] eval-auc:0.692223 train-auc:0.999998
[140] eval-auc:0.69215 train-auc:0.999998
[141] eval-auc:0.691259 train-auc:0.999998
[142] eval-auc:0.691362 train-auc:0.999998
[143] eval-auc:0.691678 train-auc:0.999999
[144] eval-auc:0.691535 train-auc:0.999998
[145] eval-auc:0.691821 train-auc:0.999999
[146] eval-auc:0.691519 train-auc:0.999999
[147] eval-auc:0.691105 train-auc:0.999999
[148] eval-auc:0.69111 train-auc:0.999999
[149] eval-auc:0.691448 train-auc:0.999999
[150] eval-auc:0.691766 train-auc:0.999999
[151] eval-auc:0.691407 train-auc:0.999999
[152] eval-auc:0.691308 train-auc:0.999999
[153] eval-auc:0.691155 train-auc:0.999999
[154] eval-auc:0.6916 train-auc:0.999999
[155] eval-auc:0.691428 train-auc:0.999999
[156] eval-auc:0.691443 train-auc:1
[157] eval-auc:0.691521 train-auc:1
[158] eval-auc:0.691793 train-auc:1
[159] eval-auc:0.691806 train-auc:1
[160] eval-auc:0.692042 train-auc:1
[161] eval-auc:0.692144 train-auc:1
[162] eval-auc:0.692025 train-auc:1
[163] eval-auc:0.69209 train-auc:1
[164] eval-auc:0.691956 train-auc:1
[165] eval-auc:0.692101 train-auc:1
[166] eval-auc:0.692603 train-auc:1
[167] eval-auc:0.692386 train-auc:1
[168] eval-auc:0.692382 train-auc:1
[169] eval-auc:0.693015 train-auc:1
[170] eval-auc:0.694006 train-auc:1
[171] eval-auc:0.694202 train-auc:1
[172] eval-auc:0.694472 train-auc:1
[173] eval-auc:0.694685 train-auc:1
[174] eval-auc:0.694317 train-auc:1
[175] eval-auc:0.694565 train-auc:1
[176] eval-auc:0.694726 train-auc:1
[177] eval-auc:0.694923 train-auc:1
[178] eval-auc:0.694574 train-auc:1
[179] eval-auc:0.694353 train-auc:1
[180] eval-auc:0.694074 train-auc:1
[181] eval-auc:0.693433 train-auc:1
[182] eval-auc:0.693911 train-auc:1
[183] eval-auc:0.693848 train-auc:1
[184] eval-auc:0.693755 train-auc:1
[185] eval-auc:0.693711 train-auc:1
[186] eval-auc:0.694187 train-auc:1
[187] eval-auc:0.694246 train-auc:1
[188] eval-auc:0.692923 train-auc:1
[189] eval-auc:0.693144 train-auc:1
[190] eval-auc:0.693234 train-auc:1
[191] eval-auc:0.69329 train-auc:1
[192] eval-auc:0.693331 train-auc:1
Score 0.6933313233198114
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.5, 'eta': 0.15000000000000002, 'eval_metric': 'auc', 'gamma': 0.8500000000000001, 'max_depth': 9, 'min_child_weight': 6.0, 'n_estimators': 280.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9, 'tree_method': 'exact'}
[0] eval-auc:0.538353 train-auc:0.592108
[1] eval-auc:0.653777 train-auc:0.79033
[2] eval-auc:0.638472 train-auc:0.822842
[3] eval-auc:0.645923 train-auc:0.867519
[4] eval-auc:0.654582 train-auc:0.870361
[5] eval-auc:0.65332 train-auc:0.904539
[6] eval-auc:0.663875 train-auc:0.914325
[7] eval-auc:0.660709 train-auc:0.914485
[8] eval-auc:0.671311 train-auc:0.928714
[9] eval-auc:0.675803 train-auc:0.93893
[10] eval-auc:0.674334 train-auc:0.948819
[11] eval-auc:0.669042 train-auc:0.956677
[12] eval-auc:0.675677 train-auc:0.962045
[13] eval-auc:0.677068 train-auc:0.964037
[14] eval-auc:0.676872 train-auc:0.96559
[15] eval-auc:0.675444 train-auc:0.970827
[16] eval-auc:0.674609 train-auc:0.973525
[17] eval-auc:0.676395 train-auc:0.976619
[18] eval-auc:0.674795 train-auc:0.978617
[19] eval-auc:0.685678 train-auc:0.983974
[20] eval-auc:0.687137 train-auc:0.985579
[21] eval-auc:0.68751 train-auc:0.986755
[22] eval-auc:0.687207 train-auc:0.988707
[23] eval-auc:0.683545 train-auc:0.990154
[24] eval-auc:0.682567 train-auc:0.990784
[25] eval-auc:0.680717 train-auc:0.991159
[26] eval-auc:0.682323 train-auc:0.99194
[27] eval-auc:0.680259 train-auc:0.99216
[28] eval-auc:0.679971 train-auc:0.99249
[29] eval-auc:0.679639 train-auc:0.99253
[30] eval-auc:0.678427 train-auc:0.993222
[31] eval-auc:0.678019 train-auc:0.993461
[32] eval-auc:0.676421 train-auc:0.99379
[33] eval-auc:0.676109 train-auc:0.994447
[34] eval-auc:0.676551 train-auc:0.99478
[35] eval-auc:0.676686 train-auc:0.995105
[36] eval-auc:0.677493 train-auc:0.995158
[37] eval-auc:0.675808 train-auc:0.995223
[38] eval-auc:0.676327 train-auc:0.995438
[39] eval-auc:0.676184 train-auc:0.995621
[40] eval-auc:0.675715 train-auc:0.99618
[41] eval-auc:0.677155 train-auc:0.996687
[42] eval-auc:0.676835 train-auc:0.996638
[43] eval-auc:0.677162 train-auc:0.996952
[44] eval-auc:0.677519 train-auc:0.997258
[45] eval-auc:0.676089 train-auc:0.997367
[46] eval-auc:0.67516 train-auc:0.997655
[47] eval-auc:0.674678 train-auc:0.997721
[48] eval-auc:0.672212 train-auc:0.997859
[49] eval-auc:0.673703 train-auc:0.998078
[50] eval-auc:0.674991 train-auc:0.998291
[51] eval-auc:0.674953 train-auc:0.998289
[52] eval-auc:0.676028 train-auc:0.998588
[53] eval-auc:0.676584 train-auc:0.998669
[54] eval-auc:0.675387 train-auc:0.998856
[55] eval-auc:0.673595 train-auc:0.998923
[56] eval-auc:0.674392 train-auc:0.999102
[57] eval-auc:0.675273 train-auc:0.999212
[58] eval-auc:0.676255 train-auc:0.999309
[59] eval-auc:0.674535 train-auc:0.999414
[60] eval-auc:0.674943 train-auc:0.999462
[61] eval-auc:0.675779 train-auc:0.999486
[62] eval-auc:0.675968 train-auc:0.999512
[63] eval-auc:0.681172 train-auc:0.99957
[64] eval-auc:0.68074 train-auc:0.99959
[65] eval-auc:0.68156 train-auc:0.999605
[66] eval-auc:0.681603 train-auc:0.999592
[67] eval-auc:0.681698 train-auc:0.999628
[68] eval-auc:0.68113 train-auc:0.999684
[69] eval-auc:0.680551 train-auc:0.999712
[70] eval-auc:0.682456 train-auc:0.999721
[71] eval-auc:0.682381 train-auc:0.999756
[72] eval-auc:0.682087 train-auc:0.999778
[73] eval-auc:0.681727 train-auc:0.999821
[74] eval-auc:0.680816 train-auc:0.99983
[75] eval-auc:0.680664 train-auc:0.999829
[76] eval-auc:0.679943 train-auc:0.999839
[77] eval-auc:0.680091 train-auc:0.999836
[78] eval-auc:0.679299 train-auc:0.999851
[79] eval-auc:0.679187 train-auc:0.99985
[80] eval-auc:0.678524 train-auc:0.99985
[81] eval-auc:0.678116 train-auc:0.999856
[82] eval-auc:0.678862 train-auc:0.999858
[83] eval-auc:0.680242 train-auc:0.999883
[84] eval-auc:0.680961 train-auc:0.999885
[85] eval-auc:0.680035 train-auc:0.999877
[86] eval-auc:0.680292 train-auc:0.999897
[87] eval-auc:0.680944 train-auc:0.999907
[88] eval-auc:0.681353 train-auc:0.999918
[89] eval-auc:0.680594 train-auc:0.999923
[90] eval-auc:0.680295 train-auc:0.999925
[91] eval-auc:0.680761 train-auc:0.999933
[92] eval-auc:0.681012 train-auc:0.999946
[93] eval-auc:0.680988 train-auc:0.999943
[94] eval-auc:0.680597 train-auc:0.999947
[95] eval-auc:0.682043 train-auc:0.99995
[96] eval-auc:0.680924 train-auc:0.999951
[97] eval-auc:0.680708 train-auc:0.99995
[98] eval-auc:0.680391 train-auc:0.99996
[99] eval-auc:0.680344 train-auc:0.999959
[100] eval-auc:0.679602 train-auc:0.999963
[101] eval-auc:0.679551 train-auc:0.999963
[102] eval-auc:0.679893 train-auc:0.999963
[103] eval-auc:0.679473 train-auc:0.999959
[104] eval-auc:0.679683 train-auc:0.999963
[105] eval-auc:0.679188 train-auc:0.999971
[106] eval-auc:0.678864 train-auc:0.999971
[107] eval-auc:0.678415 train-auc:0.999972
[108] eval-auc:0.677467 train-auc:0.999977
[109] eval-auc:0.677183 train-auc:0.99998
[110] eval-auc:0.677682 train-auc:0.999982
[111] eval-auc:0.677777 train-auc:0.999981
[112] eval-auc:0.676561 train-auc:0.99998
[113] eval-auc:0.67684 train-auc:0.999983
[114] eval-auc:0.676927 train-auc:0.999982
[115] eval-auc:0.677056 train-auc:0.999983
[116] eval-auc:0.677809 train-auc:0.999986
[117] eval-auc:0.677527 train-auc:0.999987
[118] eval-auc:0.677233 train-auc:0.999987
[119] eval-auc:0.67753 train-auc:0.999989
[120] eval-auc:0.677111 train-auc:0.999989
[121] eval-auc:0.677673 train-auc:0.999989
[122] eval-auc:0.677626 train-auc:0.999991
[123] eval-auc:0.677378 train-auc:0.999991
[124] eval-auc:0.677675 train-auc:0.999992
[125] eval-auc:0.677772 train-auc:0.999991
[126] eval-auc:0.676596 train-auc:0.99999
[127] eval-auc:0.676892 train-auc:0.99999
[128] eval-auc:0.677087 train-auc:0.999992
[129] eval-auc:0.676886 train-auc:0.999993
[130] eval-auc:0.67684 train-auc:0.999993
[131] eval-auc:0.676338 train-auc:0.999994
[132] eval-auc:0.675949 train-auc:0.999993
[133] eval-auc:0.676057 train-auc:0.999993
[134] eval-auc:0.676261 train-auc:0.999994
[135] eval-auc:0.676829 train-auc:0.999994
[136] eval-auc:0.676325 train-auc:0.999994
[137] eval-auc:0.67552 train-auc:0.999993
[138] eval-auc:0.674286 train-auc:0.999992
[139] eval-auc:0.674241 train-auc:0.999995
[140] eval-auc:0.674227 train-auc:0.999995
[141] eval-auc:0.674755 train-auc:0.999996
[142] eval-auc:0.674777 train-auc:0.999996
[143] eval-auc:0.674617 train-auc:0.999996
[144] eval-auc:0.674673 train-auc:0.999995
[145] eval-auc:0.674544 train-auc:0.999996
[146] eval-auc:0.674463 train-auc:0.999996
[147] eval-auc:0.674344 train-auc:0.999996
[148] eval-auc:0.674573 train-auc:0.999996
[149] eval-auc:0.674806 train-auc:0.999997
[150] eval-auc:0.674498 train-auc:0.999997
[151] eval-auc:0.674258 train-auc:0.999998
[152] eval-auc:0.674466 train-auc:0.999998
[153] eval-auc:0.674291 train-auc:0.999997
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[156] eval-auc:0.674161 train-auc:0.999997
[157] eval-auc:0.674009 train-auc:0.999997
[158] eval-auc:0.674468 train-auc:0.999997
[159] eval-auc:0.674657 train-auc:0.999997
[160] eval-auc:0.674522 train-auc:0.999997
[161] eval-auc:0.674679 train-auc:0.999999
[162] eval-auc:0.674854 train-auc:0.999999
[163] eval-auc:0.67513 train-auc:1
[164] eval-auc:0.674792 train-auc:1
[165] eval-auc:0.674975 train-auc:1
[166] eval-auc:0.67481 train-auc:1
[167] eval-auc:0.674705 train-auc:1
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[170] eval-auc:0.674535 train-auc:1
[171] eval-auc:0.674061 train-auc:1
[172] eval-auc:0.673877 train-auc:1
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[174] eval-auc:0.674471 train-auc:1
[175] eval-auc:0.67481 train-auc:1
[176] eval-auc:0.674244 train-auc:1
[177] eval-auc:0.674465 train-auc:1
[178] eval-auc:0.674384 train-auc:1
[179] eval-auc:0.674714 train-auc:1
[180] eval-auc:0.67497 train-auc:1
[181] eval-auc:0.675261 train-auc:1
[182] eval-auc:0.675386 train-auc:1
[183] eval-auc:0.675017 train-auc:1
[184] eval-auc:0.675559 train-auc:1
[185] eval-auc:0.675696 train-auc:1
[186] eval-auc:0.675801 train-auc:1
[187] eval-auc:0.675725 train-auc:0.999999
[188] eval-auc:0.675852 train-auc:0.999999
[189] eval-auc:0.67587 train-auc:0.999999
[190] eval-auc:0.675894 train-auc:0.999999
[191] eval-auc:0.675199 train-auc:0.999999
[192] eval-auc:0.675477 train-auc:1
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[194] eval-auc:0.675255 train-auc:0.999999
[195] eval-auc:0.675514 train-auc:1
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[198] eval-auc:0.675936 train-auc:1
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[200] eval-auc:0.675403 train-auc:1
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[202] eval-auc:0.675492 train-auc:1
[203] eval-auc:0.675945 train-auc:1
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[206] eval-auc:0.675696 train-auc:1
[207] eval-auc:0.67553 train-auc:1
[208] eval-auc:0.674946 train-auc:1
[209] eval-auc:0.67497 train-auc:1
[210] eval-auc:0.675296 train-auc:1
[211] eval-auc:0.675349 train-auc:1
[212] eval-auc:0.675322 train-auc:1
[213] eval-auc:0.6751 train-auc:1
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[215] eval-auc:0.674646 train-auc:1
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[218] eval-auc:0.674114 train-auc:1
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[224] eval-auc:0.677455 train-auc:1
[225] eval-auc:0.677096 train-auc:1
[226] eval-auc:0.681069 train-auc:1
[227] eval-auc:0.681358 train-auc:1
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[230] eval-auc:0.681466 train-auc:1
[231] eval-auc:0.6812 train-auc:1
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[233] eval-auc:0.680668 train-auc:1
[234] eval-auc:0.680694 train-auc:1
[235] eval-auc:0.68056 train-auc:1
[236] eval-auc:0.680351 train-auc:1
[237] eval-auc:0.680371 train-auc:1
[238] eval-auc:0.680218 train-auc:1
[239] eval-auc:0.67998 train-auc:1
[240] eval-auc:0.680024 train-auc:1
[241] eval-auc:0.679914 train-auc:1
[242] eval-auc:0.680277 train-auc:1
[243] eval-auc:0.680033 train-auc:1
[244] eval-auc:0.679986 train-auc:1
[245] eval-auc:0.679828 train-auc:1
[246] eval-auc:0.679828 train-auc:1
[247] eval-auc:0.679875 train-auc:1
[248] eval-auc:0.683172 train-auc:1
[249] eval-auc:0.683403 train-auc:1
[250] eval-auc:0.683627 train-auc:1
[251] eval-auc:0.683089 train-auc:1
[252] eval-auc:0.683324 train-auc:1
[253] eval-auc:0.683791 train-auc:1
[254] eval-auc:0.683944 train-auc:1
[255] eval-auc:0.684213 train-auc:1
[256] eval-auc:0.684125 train-auc:1
[257] eval-auc:0.684014 train-auc:1
[258] eval-auc:0.684014 train-auc:1
[259] eval-auc:0.683721 train-auc:1
[260] eval-auc:0.683312 train-auc:1
[261] eval-auc:0.683702 train-auc:1
[262] eval-auc:0.683613 train-auc:1
[263] eval-auc:0.683721 train-auc:1
[264] eval-auc:0.683966 train-auc:1
[265] eval-auc:0.683453 train-auc:1
[266] eval-auc:0.68292 train-auc:1
[267] eval-auc:0.682518 train-auc:1
[268] eval-auc:0.682655 train-auc:1
[269] eval-auc:0.682468 train-auc:1
[270] eval-auc:0.682307 train-auc:1
[271] eval-auc:0.682393 train-auc:1
[272] eval-auc:0.682378 train-auc:1
[273] eval-auc:0.682381 train-auc:1
[274] eval-auc:0.682412 train-auc:1
[275] eval-auc:0.682456 train-auc:1
[276] eval-auc:0.68213 train-auc:1
[277] eval-auc:0.681819 train-auc:1
[278] eval-auc:0.681868 train-auc:1
[279] eval-auc:0.681786 train-auc:1
Score 0.6817859274689666
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 1.0, 'eta': 0.05, 'eval_metric': 'auc', 'gamma': 0.75, 'max_depth': 7, 'min_child_weight': 5.0, 'n_estimators': 339.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.8500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.677254 train-auc:0.794387
[1] eval-auc:0.690313 train-auc:0.835844
[2] eval-auc:0.694054 train-auc:0.84729
[3] eval-auc:0.697279 train-auc:0.865012
[4] eval-auc:0.69917 train-auc:0.872416
[5] eval-auc:0.698555 train-auc:0.882541
[6] eval-auc:0.701557 train-auc:0.890236
[7] eval-auc:0.707123 train-auc:0.891628
[8] eval-auc:0.705755 train-auc:0.898642
[9] eval-auc:0.708052 train-auc:0.902299
[10] eval-auc:0.708689 train-auc:0.905346
[11] eval-auc:0.708566 train-auc:0.90666
[12] eval-auc:0.709284 train-auc:0.911664
[13] eval-auc:0.710122 train-auc:0.913147
[14] eval-auc:0.710321 train-auc:0.919281
[15] eval-auc:0.710423 train-auc:0.923158
[16] eval-auc:0.708875 train-auc:0.925979
[17] eval-auc:0.707323 train-auc:0.930989
[18] eval-auc:0.708063 train-auc:0.932939
[19] eval-auc:0.708713 train-auc:0.934264
[20] eval-auc:0.709829 train-auc:0.935422
[21] eval-auc:0.709883 train-auc:0.936035
[22] eval-auc:0.709507 train-auc:0.938563
[23] eval-auc:0.710568 train-auc:0.938668
[24] eval-auc:0.712899 train-auc:0.940812
[25] eval-auc:0.712768 train-auc:0.942291
[26] eval-auc:0.712308 train-auc:0.943862
[27] eval-auc:0.713011 train-auc:0.945541
[28] eval-auc:0.713226 train-auc:0.945992
[29] eval-auc:0.712187 train-auc:0.947113
[30] eval-auc:0.712991 train-auc:0.947728
[31] eval-auc:0.712324 train-auc:0.949886
[32] eval-auc:0.713827 train-auc:0.952052
[33] eval-auc:0.714103 train-auc:0.953483
[34] eval-auc:0.714912 train-auc:0.955319
[35] eval-auc:0.715039 train-auc:0.956476
[36] eval-auc:0.716599 train-auc:0.957503
[37] eval-auc:0.71611 train-auc:0.958508
[38] eval-auc:0.715821 train-auc:0.960131
[39] eval-auc:0.716733 train-auc:0.961166
[40] eval-auc:0.716387 train-auc:0.96174
[41] eval-auc:0.716641 train-auc:0.963388
[42] eval-auc:0.716718 train-auc:0.964305
[43] eval-auc:0.717139 train-auc:0.965602
[44] eval-auc:0.716678 train-auc:0.966234
[45] eval-auc:0.715635 train-auc:0.967018
[46] eval-auc:0.714634 train-auc:0.967537
[47] eval-auc:0.714618 train-auc:0.968665
[48] eval-auc:0.71479 train-auc:0.969959
[49] eval-auc:0.714902 train-auc:0.971249
[50] eval-auc:0.715068 train-auc:0.97196
[51] eval-auc:0.715231 train-auc:0.972324
[52] eval-auc:0.716408 train-auc:0.972805
[53] eval-auc:0.7166 train-auc:0.973405
[54] eval-auc:0.716279 train-auc:0.973621
[55] eval-auc:0.715658 train-auc:0.974632
[56] eval-auc:0.715679 train-auc:0.97579
[57] eval-auc:0.715572 train-auc:0.976532
[58] eval-auc:0.715725 train-auc:0.977332
[59] eval-auc:0.716241 train-auc:0.978086
[60] eval-auc:0.715642 train-auc:0.978459
[61] eval-auc:0.715332 train-auc:0.978955
[62] eval-auc:0.714736 train-auc:0.979614
[63] eval-auc:0.715175 train-auc:0.979998
[64] eval-auc:0.715486 train-auc:0.980222
[65] eval-auc:0.715706 train-auc:0.980286
[66] eval-auc:0.715738 train-auc:0.98099
[67] eval-auc:0.716115 train-auc:0.981671
[68] eval-auc:0.715939 train-auc:0.982356
[69] eval-auc:0.715917 train-auc:0.982677
[70] eval-auc:0.715417 train-auc:0.982969
[71] eval-auc:0.715505 train-auc:0.983301
[72] eval-auc:0.715003 train-auc:0.983662
[73] eval-auc:0.714752 train-auc:0.983915
[74] eval-auc:0.714829 train-auc:0.985003
[75] eval-auc:0.714589 train-auc:0.985308
[76] eval-auc:0.715343 train-auc:0.986124
[77] eval-auc:0.715323 train-auc:0.986288
[78] eval-auc:0.714942 train-auc:0.986777
[79] eval-auc:0.714438 train-auc:0.987018
[80] eval-auc:0.714207 train-auc:0.987249
[81] eval-auc:0.713713 train-auc:0.987534
[82] eval-auc:0.713518 train-auc:0.988016
[83] eval-auc:0.711753 train-auc:0.988191
[84] eval-auc:0.711654 train-auc:0.988578
[85] eval-auc:0.711304 train-auc:0.989128
[86] eval-auc:0.711708 train-auc:0.98925
[87] eval-auc:0.711233 train-auc:0.989848
[88] eval-auc:0.710424 train-auc:0.990028
[89] eval-auc:0.710671 train-auc:0.990251
[90] eval-auc:0.710531 train-auc:0.990297
[91] eval-auc:0.710441 train-auc:0.990346
[92] eval-auc:0.710505 train-auc:0.990491
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[94] eval-auc:0.710931 train-auc:0.990777
[95] eval-auc:0.710453 train-auc:0.991031
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[100] eval-auc:0.710351 train-auc:0.992266
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[102] eval-auc:0.710464 train-auc:0.992925
[103] eval-auc:0.710575 train-auc:0.992965
[104] eval-auc:0.711044 train-auc:0.99309
[105] eval-auc:0.710777 train-auc:0.993383
[106] eval-auc:0.710421 train-auc:0.993461
[107] eval-auc:0.710627 train-auc:0.993508
[108] eval-auc:0.710674 train-auc:0.993546
[109] eval-auc:0.710856 train-auc:0.993864
[110] eval-auc:0.711045 train-auc:0.993957
[111] eval-auc:0.711193 train-auc:0.994037
[112] eval-auc:0.710818 train-auc:0.994176
[113] eval-auc:0.710482 train-auc:0.994261
[114] eval-auc:0.710558 train-auc:0.994358
[115] eval-auc:0.710619 train-auc:0.994449
[116] eval-auc:0.710602 train-auc:0.994664
[117] eval-auc:0.710549 train-auc:0.99474
[118] eval-auc:0.7105 train-auc:0.994796
[119] eval-auc:0.710488 train-auc:0.994866
[120] eval-auc:0.71059 train-auc:0.994893
[121] eval-auc:0.711255 train-auc:0.995174
[122] eval-auc:0.711345 train-auc:0.995206
[123] eval-auc:0.711578 train-auc:0.995284
[124] eval-auc:0.711414 train-auc:0.9954
[125] eval-auc:0.711539 train-auc:0.995505
[126] eval-auc:0.710971 train-auc:0.99558
[127] eval-auc:0.711057 train-auc:0.99564
[128] eval-auc:0.710366 train-auc:0.995704
[129] eval-auc:0.710473 train-auc:0.995846
[130] eval-auc:0.710514 train-auc:0.995957
[131] eval-auc:0.710486 train-auc:0.996175
[132] eval-auc:0.71057 train-auc:0.996251
[133] eval-auc:0.710483 train-auc:0.996304
[134] eval-auc:0.710523 train-auc:0.996387
[135] eval-auc:0.710473 train-auc:0.996512
[136] eval-auc:0.710765 train-auc:0.996636
[137] eval-auc:0.711086 train-auc:0.996747
[138] eval-auc:0.710974 train-auc:0.99683
[139] eval-auc:0.710972 train-auc:0.9969
[140] eval-auc:0.710719 train-auc:0.996983
[141] eval-auc:0.710875 train-auc:0.997012
[142] eval-auc:0.711481 train-auc:0.997043
[143] eval-auc:0.711673 train-auc:0.997159
[144] eval-auc:0.711436 train-auc:0.997168
[145] eval-auc:0.711457 train-auc:0.997208
[146] eval-auc:0.710913 train-auc:0.997314
[147] eval-auc:0.710681 train-auc:0.99732
[148] eval-auc:0.71084 train-auc:0.997371
[149] eval-auc:0.711248 train-auc:0.997363
[150] eval-auc:0.711172 train-auc:0.997443
[151] eval-auc:0.710972 train-auc:0.997468
[152] eval-auc:0.710983 train-auc:0.997529
[153] eval-auc:0.710962 train-auc:0.99756
[154] eval-auc:0.711278 train-auc:0.997591
[155] eval-auc:0.711507 train-auc:0.997662
[156] eval-auc:0.71188 train-auc:0.997744
[157] eval-auc:0.711636 train-auc:0.997739
[158] eval-auc:0.7117 train-auc:0.997757
[159] eval-auc:0.711437 train-auc:0.997796
[160] eval-auc:0.711467 train-auc:0.997812
[161] eval-auc:0.711601 train-auc:0.997875
[162] eval-auc:0.711776 train-auc:0.997901
[163] eval-auc:0.711397 train-auc:0.997934
[164] eval-auc:0.711723 train-auc:0.997954
[165] eval-auc:0.71175 train-auc:0.997989
[166] eval-auc:0.711645 train-auc:0.997994
[167] eval-auc:0.711706 train-auc:0.998052
[168] eval-auc:0.711557 train-auc:0.998085
[169] eval-auc:0.711185 train-auc:0.998154
[170] eval-auc:0.710884 train-auc:0.998194
[171] eval-auc:0.71075 train-auc:0.99821
[172] eval-auc:0.710876 train-auc:0.998247
[173] eval-auc:0.710566 train-auc:0.998261
[174] eval-auc:0.710965 train-auc:0.998302
[175] eval-auc:0.710499 train-auc:0.998303
[176] eval-auc:0.710563 train-auc:0.998348
[177] eval-auc:0.710218 train-auc:0.998418
[178] eval-auc:0.710814 train-auc:0.998466
[179] eval-auc:0.710987 train-auc:0.998486
[180] eval-auc:0.710983 train-auc:0.998503
[181] eval-auc:0.711083 train-auc:0.998519
[182] eval-auc:0.711301 train-auc:0.998536
[183] eval-auc:0.71156 train-auc:0.998572
[184] eval-auc:0.711527 train-auc:0.998612
[185] eval-auc:0.711042 train-auc:0.998628
[186] eval-auc:0.71099 train-auc:0.998653
[187] eval-auc:0.710535 train-auc:0.998672
[188] eval-auc:0.710692 train-auc:0.998691
[189] eval-auc:0.710564 train-auc:0.998707
[190] eval-auc:0.710643 train-auc:0.998734
[191] eval-auc:0.710171 train-auc:0.998743
[192] eval-auc:0.709909 train-auc:0.99879
[193] eval-auc:0.709561 train-auc:0.998829
[194] eval-auc:0.709303 train-auc:0.998828
[195] eval-auc:0.709544 train-auc:0.99882
[196] eval-auc:0.709055 train-auc:0.998837
[197] eval-auc:0.709133 train-auc:0.998893
[198] eval-auc:0.709114 train-auc:0.99892
[199] eval-auc:0.708557 train-auc:0.998932
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[202] eval-auc:0.708521 train-auc:0.998962
[203] eval-auc:0.708321 train-auc:0.998975
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[205] eval-auc:0.708752 train-auc:0.99901
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[210] eval-auc:0.707907 train-auc:0.999063
[211] eval-auc:0.708117 train-auc:0.999105
[212] eval-auc:0.707756 train-auc:0.999112
[213] eval-auc:0.707709 train-auc:0.999122
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[215] eval-auc:0.706698 train-auc:0.999186
[216] eval-auc:0.706471 train-auc:0.999213
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[218] eval-auc:0.707019 train-auc:0.999228
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[221] eval-auc:0.707216 train-auc:0.999271
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[229] eval-auc:0.707644 train-auc:0.999394
[230] eval-auc:0.707313 train-auc:0.999432
[231] eval-auc:0.707665 train-auc:0.999434
[232] eval-auc:0.707494 train-auc:0.999449
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[234] eval-auc:0.707331 train-auc:0.999467
[235] eval-auc:0.707312 train-auc:0.999484
[236] eval-auc:0.706955 train-auc:0.999494
[237] eval-auc:0.706855 train-auc:0.999503
[238] eval-auc:0.706483 train-auc:0.999521
[239] eval-auc:0.706753 train-auc:0.999531
[240] eval-auc:0.70687 train-auc:0.999542
[241] eval-auc:0.706884 train-auc:0.999541
[242] eval-auc:0.706776 train-auc:0.999542
[243] eval-auc:0.706725 train-auc:0.999542
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[245] eval-auc:0.706919 train-auc:0.999554
[246] eval-auc:0.706836 train-auc:0.999579
[247] eval-auc:0.706824 train-auc:0.99958
[248] eval-auc:0.706864 train-auc:0.999578
[249] eval-auc:0.707022 train-auc:0.999578
[250] eval-auc:0.706987 train-auc:0.999599
[251] eval-auc:0.706899 train-auc:0.9996
[252] eval-auc:0.706981 train-auc:0.999601
[253] eval-auc:0.707337 train-auc:0.999599
[254] eval-auc:0.70727 train-auc:0.9996
[255] eval-auc:0.706993 train-auc:0.999622
[256] eval-auc:0.706779 train-auc:0.99962
[257] eval-auc:0.706849 train-auc:0.999622
[258] eval-auc:0.706922 train-auc:0.999631
[259] eval-auc:0.706809 train-auc:0.999629
[260] eval-auc:0.706943 train-auc:0.999632
[261] eval-auc:0.706971 train-auc:0.999647
[262] eval-auc:0.707004 train-auc:0.999652
[263] eval-auc:0.706972 train-auc:0.999657
[264] eval-auc:0.706718 train-auc:0.999657
[265] eval-auc:0.706722 train-auc:0.99967
[266] eval-auc:0.706543 train-auc:0.999663
[267] eval-auc:0.706469 train-auc:0.999668
[268] eval-auc:0.706014 train-auc:0.999699
[269] eval-auc:0.706299 train-auc:0.999697
[270] eval-auc:0.706131 train-auc:0.999709
[271] eval-auc:0.70613 train-auc:0.99971
[272] eval-auc:0.705991 train-auc:0.999709
[273] eval-auc:0.706174 train-auc:0.999712
[274] eval-auc:0.706395 train-auc:0.999728
[275] eval-auc:0.706316 train-auc:0.999722
[276] eval-auc:0.706366 train-auc:0.999734
[277] eval-auc:0.706171 train-auc:0.999735
[278] eval-auc:0.706485 train-auc:0.999738
[279] eval-auc:0.706431 train-auc:0.99975
[280] eval-auc:0.706386 train-auc:0.99975
[281] eval-auc:0.706453 train-auc:0.999748
[282] eval-auc:0.706549 train-auc:0.999756
[283] eval-auc:0.706683 train-auc:0.999763
[284] eval-auc:0.706835 train-auc:0.999763
[285] eval-auc:0.706992 train-auc:0.999774
[286] eval-auc:0.706623 train-auc:0.999775
[287] eval-auc:0.706695 train-auc:0.999782
[288] eval-auc:0.707176 train-auc:0.99979
[289] eval-auc:0.707165 train-auc:0.999791
[290] eval-auc:0.707149 train-auc:0.999789
[291] eval-auc:0.707305 train-auc:0.9998
[292] eval-auc:0.707206 train-auc:0.999797
[293] eval-auc:0.707234 train-auc:0.999798
[294] eval-auc:0.707121 train-auc:0.999799
[295] eval-auc:0.707289 train-auc:0.999802
[296] eval-auc:0.707191 train-auc:0.999809
[297] eval-auc:0.706996 train-auc:0.999822
[298] eval-auc:0.706899 train-auc:0.999822
[299] eval-auc:0.707006 train-auc:0.999824
[300] eval-auc:0.707295 train-auc:0.999836
[301] eval-auc:0.707194 train-auc:0.999842
[302] eval-auc:0.706946 train-auc:0.999847
[303] eval-auc:0.706907 train-auc:0.999851
[304] eval-auc:0.706885 train-auc:0.999852
[305] eval-auc:0.706861 train-auc:0.999855
[306] eval-auc:0.706587 train-auc:0.999852
[307] eval-auc:0.706441 train-auc:0.999852
[308] eval-auc:0.706151 train-auc:0.999855
[309] eval-auc:0.70629 train-auc:0.999857
[310] eval-auc:0.70618 train-auc:0.999856
[311] eval-auc:0.706052 train-auc:0.99986
[312] eval-auc:0.706096 train-auc:0.999869
[313] eval-auc:0.706264 train-auc:0.999868
[314] eval-auc:0.706141 train-auc:0.99987
[315] eval-auc:0.705944 train-auc:0.999873
[316] eval-auc:0.706016 train-auc:0.999872
[317] eval-auc:0.705737 train-auc:0.999875
[318] eval-auc:0.705684 train-auc:0.999874
[319] eval-auc:0.705413 train-auc:0.999884
[320] eval-auc:0.70548 train-auc:0.999887
[321] eval-auc:0.705315 train-auc:0.999895
[322] eval-auc:0.70509 train-auc:0.999896
[323] eval-auc:0.705046 train-auc:0.999894
[324] eval-auc:0.705279 train-auc:0.999897
[325] eval-auc:0.705483 train-auc:0.9999
[326] eval-auc:0.70562 train-auc:0.9999
[327] eval-auc:0.705582 train-auc:0.999898
[328] eval-auc:0.705854 train-auc:0.999904
[329] eval-auc:0.705833 train-auc:0.999904
[330] eval-auc:0.705653 train-auc:0.999902
[331] eval-auc:0.705688 train-auc:0.999905
[332] eval-auc:0.705388 train-auc:0.999912
[333] eval-auc:0.705187 train-auc:0.999914
[334] eval-auc:0.705 train-auc:0.999914
[335] eval-auc:0.705151 train-auc:0.999919
[336] eval-auc:0.705209 train-auc:0.999921
[337] eval-auc:0.705136 train-auc:0.999922
[338] eval-auc:0.70477 train-auc:0.999922
Score 0.7047701275444944
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8500000000000001, 'eta': 0.47500000000000003, 'eval_metric': 'auc', 'gamma': 0.7000000000000001, 'max_depth': 12, 'min_child_weight': 2.0, 'n_estimators': 222.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.75, 'tree_method': 'exact'}
[0] eval-auc:0.685838 train-auc:0.850331
[1] eval-auc:0.652459 train-auc:0.909364
[2] eval-auc:0.650954 train-auc:0.942061
[3] eval-auc:0.666289 train-auc:0.962303
[4] eval-auc:0.681684 train-auc:0.98118
[5] eval-auc:0.676498 train-auc:0.989232
[6] eval-auc:0.685237 train-auc:0.993418
[7] eval-auc:0.688066 train-auc:0.99556
[8] eval-auc:0.694582 train-auc:0.997337
[9] eval-auc:0.697098 train-auc:0.997884
[10] eval-auc:0.701129 train-auc:0.999106
[11] eval-auc:0.700028 train-auc:0.999483
[12] eval-auc:0.701441 train-auc:0.999587
[13] eval-auc:0.701518 train-auc:0.999716
[14] eval-auc:0.698987 train-auc:0.999847
[15] eval-auc:0.696366 train-auc:0.999915
[16] eval-auc:0.695459 train-auc:0.999929
[17] eval-auc:0.692389 train-auc:0.999933
[18] eval-auc:0.692865 train-auc:0.999985
[19] eval-auc:0.689244 train-auc:0.999989
[20] eval-auc:0.689587 train-auc:0.999999
[21] eval-auc:0.695813 train-auc:0.999999
[22] eval-auc:0.695679 train-auc:1
[23] eval-auc:0.700235 train-auc:1
[24] eval-auc:0.7011 train-auc:1
[25] eval-auc:0.702484 train-auc:1
[26] eval-auc:0.702478 train-auc:1
[27] eval-auc:0.701387 train-auc:1
[28] eval-auc:0.704146 train-auc:1
[29] eval-auc:0.701126 train-auc:1
[30] eval-auc:0.701303 train-auc:1
[31] eval-auc:0.701355 train-auc:1
[32] eval-auc:0.701559 train-auc:1
[33] eval-auc:0.703371 train-auc:1
[34] eval-auc:0.704482 train-auc:1
[35] eval-auc:0.705384 train-auc:1
[36] eval-auc:0.704472 train-auc:1
[37] eval-auc:0.704143 train-auc:1
[38] eval-auc:0.704491 train-auc:1
[39] eval-auc:0.703788 train-auc:1
[40] eval-auc:0.702836 train-auc:1
[41] eval-auc:0.702573 train-auc:1
[42] eval-auc:0.701447 train-auc:1
[43] eval-auc:0.700245 train-auc:1
[44] eval-auc:0.700764 train-auc:1
[45] eval-auc:0.700508 train-auc:1
[46] eval-auc:0.699931 train-auc:1
[47] eval-auc:0.700778 train-auc:1
[48] eval-auc:0.701895 train-auc:1
[49] eval-auc:0.701572 train-auc:1
[50] eval-auc:0.702334 train-auc:1
[51] eval-auc:0.701805 train-auc:1
[52] eval-auc:0.702218 train-auc:1
[53] eval-auc:0.701566 train-auc:1
[54] eval-auc:0.705292 train-auc:1
[55] eval-auc:0.704557 train-auc:1
[56] eval-auc:0.704152 train-auc:1
[57] eval-auc:0.702244 train-auc:1
[58] eval-auc:0.70371 train-auc:1
[59] eval-auc:0.704996 train-auc:1
[60] eval-auc:0.703319 train-auc:1
[61] eval-auc:0.703024 train-auc:1
[62] eval-auc:0.703451 train-auc:1
[63] eval-auc:0.703595 train-auc:1
[64] eval-auc:0.703436 train-auc:1
[65] eval-auc:0.703241 train-auc:1
[66] eval-auc:0.702969 train-auc:1
[67] eval-auc:0.703416 train-auc:1
[68] eval-auc:0.703512 train-auc:1
[69] eval-auc:0.702577 train-auc:1
[70] eval-auc:0.701633 train-auc:1
[71] eval-auc:0.702223 train-auc:1
[72] eval-auc:0.702223 train-auc:1
[73] eval-auc:0.701746 train-auc:1
[74] eval-auc:0.701924 train-auc:1
[75] eval-auc:0.70089 train-auc:1
[76] eval-auc:0.700438 train-auc:1
[77] eval-auc:0.699772 train-auc:1
[78] eval-auc:0.699089 train-auc:1
[79] eval-auc:0.699089 train-auc:1
[80] eval-auc:0.698728 train-auc:1
[81] eval-auc:0.698568 train-auc:1
[82] eval-auc:0.69819 train-auc:1
[83] eval-auc:0.698408 train-auc:1
[84] eval-auc:0.69811 train-auc:1
[85] eval-auc:0.697982 train-auc:1
[86] eval-auc:0.698807 train-auc:1
[87] eval-auc:0.698518 train-auc:1
[88] eval-auc:0.698996 train-auc:1
[89] eval-auc:0.699014 train-auc:1
[90] eval-auc:0.699791 train-auc:1
[91] eval-auc:0.699949 train-auc:1
[92] eval-auc:0.69969 train-auc:1
[93] eval-auc:0.699392 train-auc:1
[94] eval-auc:0.69947 train-auc:1
[95] eval-auc:0.699212 train-auc:1
[96] eval-auc:0.698831 train-auc:1
[97] eval-auc:0.698739 train-auc:1
[98] eval-auc:0.698965 train-auc:1
[99] eval-auc:0.699859 train-auc:1
[100] eval-auc:0.699623 train-auc:1
[101] eval-auc:0.699343 train-auc:1
[102] eval-auc:0.699343 train-auc:1
[103] eval-auc:0.699632 train-auc:1
[104] eval-auc:0.700415 train-auc:1
[105] eval-auc:0.699488 train-auc:1
[106] eval-auc:0.699322 train-auc:1
[107] eval-auc:0.699476 train-auc:1
[108] eval-auc:0.699476 train-auc:1
[109] eval-auc:0.699476 train-auc:1
[110] eval-auc:0.699243 train-auc:1
[111] eval-auc:0.699603 train-auc:1
[112] eval-auc:0.698401 train-auc:1
[113] eval-auc:0.697741 train-auc:1
[114] eval-auc:0.698192 train-auc:1
[115] eval-auc:0.698035 train-auc:1
[116] eval-auc:0.698035 train-auc:1
[117] eval-auc:0.697971 train-auc:1
[118] eval-auc:0.697971 train-auc:1
[119] eval-auc:0.699297 train-auc:1
[120] eval-auc:0.699297 train-auc:1
[121] eval-auc:0.699661 train-auc:1
[122] eval-auc:0.69894 train-auc:1
[123] eval-auc:0.69894 train-auc:1
[124] eval-auc:0.69894 train-auc:1
[125] eval-auc:0.69894 train-auc:1
[126] eval-auc:0.698534 train-auc:1
[127] eval-auc:0.699104 train-auc:1
[128] eval-auc:0.699104 train-auc:1
[129] eval-auc:0.699104 train-auc:1
[130] eval-auc:0.699104 train-auc:1
[131] eval-auc:0.699282 train-auc:1
[132] eval-auc:0.698531 train-auc:1
[133] eval-auc:0.698531 train-auc:1
[134] eval-auc:0.698562 train-auc:1
[135] eval-auc:0.69837 train-auc:1
[136] eval-auc:0.69837 train-auc:1
[137] eval-auc:0.69837 train-auc:1
[138] eval-auc:0.697976 train-auc:1
[139] eval-auc:0.697976 train-auc:1
[140] eval-auc:0.697976 train-auc:1
[141] eval-auc:0.697976 train-auc:1
[142] eval-auc:0.697555 train-auc:1
[143] eval-auc:0.696908 train-auc:1
[144] eval-auc:0.697246 train-auc:1
[145] eval-auc:0.697756 train-auc:1
[146] eval-auc:0.697717 train-auc:1
[147] eval-auc:0.698058 train-auc:1
[148] eval-auc:0.698058 train-auc:1
[149] eval-auc:0.698058 train-auc:1
[150] eval-auc:0.698058 train-auc:1
[151] eval-auc:0.698058 train-auc:1
[152] eval-auc:0.698352 train-auc:1
[153] eval-auc:0.698352 train-auc:1
[154] eval-auc:0.697511 train-auc:1
[155] eval-auc:0.697511 train-auc:1
[156] eval-auc:0.697511 train-auc:1
[157] eval-auc:0.697511 train-auc:1
[158] eval-auc:0.697511 train-auc:1
[159] eval-auc:0.697297 train-auc:1
[160] eval-auc:0.697297 train-auc:1
[161] eval-auc:0.697297 train-auc:1
[162] eval-auc:0.697297 train-auc:1
[163] eval-auc:0.697297 train-auc:1
[164] eval-auc:0.697297 train-auc:1
[165] eval-auc:0.697297 train-auc:1
[166] eval-auc:0.697297 train-auc:1
[167] eval-auc:0.697297 train-auc:1
[168] eval-auc:0.697293 train-auc:1
[169] eval-auc:0.697293 train-auc:1
[170] eval-auc:0.697293 train-auc:1
[171] eval-auc:0.697293 train-auc:1
[172] eval-auc:0.69812 train-auc:1
[173] eval-auc:0.698358 train-auc:1
[174] eval-auc:0.698358 train-auc:1
[175] eval-auc:0.698358 train-auc:1
[176] eval-auc:0.698358 train-auc:1
[177] eval-auc:0.698358 train-auc:1
[178] eval-auc:0.69805 train-auc:1
[179] eval-auc:0.69805 train-auc:1
[180] eval-auc:0.69805 train-auc:1
[181] eval-auc:0.69805 train-auc:1
[182] eval-auc:0.69805 train-auc:1
[183] eval-auc:0.69805 train-auc:1
[184] eval-auc:0.697718 train-auc:1
[185] eval-auc:0.697718 train-auc:1
[186] eval-auc:0.697718 train-auc:1
[187] eval-auc:0.697499 train-auc:1
[188] eval-auc:0.697499 train-auc:1
[189] eval-auc:0.697071 train-auc:1
[190] eval-auc:0.697071 train-auc:1
[191] eval-auc:0.696628 train-auc:1
[192] eval-auc:0.696981 train-auc:1
[193] eval-auc:0.696981 train-auc:1
[194] eval-auc:0.701649 train-auc:1
[195] eval-auc:0.701649 train-auc:1
[196] eval-auc:0.70221 train-auc:1
[197] eval-auc:0.702344 train-auc:1
[198] eval-auc:0.702344 train-auc:1
[199] eval-auc:0.702191 train-auc:1
[200] eval-auc:0.702329 train-auc:1
[201] eval-auc:0.702329 train-auc:1
[202] eval-auc:0.702264 train-auc:1
[203] eval-auc:0.702249 train-auc:1
[204] eval-auc:0.702545 train-auc:1
[205] eval-auc:0.702545 train-auc:1
[206] eval-auc:0.702545 train-auc:1
[207] eval-auc:0.702545 train-auc:1
[208] eval-auc:0.702545 train-auc:1
[209] eval-auc:0.702235 train-auc:1
[210] eval-auc:0.702564 train-auc:1
[211] eval-auc:0.702861 train-auc:1
[212] eval-auc:0.702861 train-auc:1
[213] eval-auc:0.702981 train-auc:1
[214] eval-auc:0.702981 train-auc:1
[215] eval-auc:0.702981 train-auc:1
[216] eval-auc:0.702981 train-auc:1
[217] eval-auc:0.702981 train-auc:1
[218] eval-auc:0.702981 train-auc:1
[219] eval-auc:0.702981 train-auc:1
[220] eval-auc:0.702839 train-auc:1
[221] eval-auc:0.702775 train-auc:1
Score 0.7027753413977512
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9, 'eta': 0.2, 'eval_metric': 'auc', 'gamma': 0.6000000000000001, 'max_depth': 5, 'min_child_weight': 3.0, 'n_estimators': 370.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.65, 'tree_method': 'exact'}
[0] eval-auc:0.690487 train-auc:0.741583
[1] eval-auc:0.6773 train-auc:0.754039
[2] eval-auc:0.693633 train-auc:0.770737
[3] eval-auc:0.689461 train-auc:0.785876
[4] eval-auc:0.690788 train-auc:0.799904
[5] eval-auc:0.699584 train-auc:0.816215
[6] eval-auc:0.700857 train-auc:0.820971
[7] eval-auc:0.705911 train-auc:0.828103
[8] eval-auc:0.707229 train-auc:0.837328
[9] eval-auc:0.705588 train-auc:0.840555
[10] eval-auc:0.704168 train-auc:0.84433
[11] eval-auc:0.705148 train-auc:0.848603
[12] eval-auc:0.707021 train-auc:0.858185
[13] eval-auc:0.70587 train-auc:0.857784
[14] eval-auc:0.70712 train-auc:0.863499
[15] eval-auc:0.701424 train-auc:0.865882
[16] eval-auc:0.703347 train-auc:0.869996
[17] eval-auc:0.705768 train-auc:0.878028
[18] eval-auc:0.703519 train-auc:0.882685
[19] eval-auc:0.705305 train-auc:0.884618
[20] eval-auc:0.707443 train-auc:0.889581
[21] eval-auc:0.70896 train-auc:0.892764
[22] eval-auc:0.708803 train-auc:0.895877
[23] eval-auc:0.708071 train-auc:0.897806
[24] eval-auc:0.708958 train-auc:0.902198
[25] eval-auc:0.710731 train-auc:0.90367
[26] eval-auc:0.706711 train-auc:0.907326
[27] eval-auc:0.705126 train-auc:0.911016
[28] eval-auc:0.705776 train-auc:0.913607
[29] eval-auc:0.701984 train-auc:0.914855
[30] eval-auc:0.69989 train-auc:0.918086
[31] eval-auc:0.699056 train-auc:0.919227
[32] eval-auc:0.699093 train-auc:0.922619
[33] eval-auc:0.694266 train-auc:0.925137
[34] eval-auc:0.694875 train-auc:0.925144
[35] eval-auc:0.695728 train-auc:0.927494
[36] eval-auc:0.696002 train-auc:0.928569
[37] eval-auc:0.69456 train-auc:0.929512
[38] eval-auc:0.694606 train-auc:0.931018
[39] eval-auc:0.694324 train-auc:0.932239
[40] eval-auc:0.694169 train-auc:0.934234
[41] eval-auc:0.693021 train-auc:0.935666
[42] eval-auc:0.693683 train-auc:0.937129
[43] eval-auc:0.693283 train-auc:0.94004
[44] eval-auc:0.695661 train-auc:0.942715
[45] eval-auc:0.695248 train-auc:0.944385
[46] eval-auc:0.693478 train-auc:0.946064
[47] eval-auc:0.691525 train-auc:0.946151
[48] eval-auc:0.692619 train-auc:0.94843
[49] eval-auc:0.693184 train-auc:0.949908
[50] eval-auc:0.693554 train-auc:0.95052
[51] eval-auc:0.695086 train-auc:0.951171
[52] eval-auc:0.69423 train-auc:0.95171
[53] eval-auc:0.695047 train-auc:0.95294
[54] eval-auc:0.694571 train-auc:0.953899
[55] eval-auc:0.69476 train-auc:0.954803
[56] eval-auc:0.696887 train-auc:0.956156
[57] eval-auc:0.697255 train-auc:0.957523
[58] eval-auc:0.698302 train-auc:0.95913
[59] eval-auc:0.698719 train-auc:0.960882
[60] eval-auc:0.699246 train-auc:0.96278
[61] eval-auc:0.698679 train-auc:0.963245
[62] eval-auc:0.698222 train-auc:0.964446
[63] eval-auc:0.697849 train-auc:0.964596
[64] eval-auc:0.697447 train-auc:0.965574
[65] eval-auc:0.697318 train-auc:0.965469
[66] eval-auc:0.697112 train-auc:0.965966
[67] eval-auc:0.698594 train-auc:0.966079
[68] eval-auc:0.698417 train-auc:0.967059
[69] eval-auc:0.699134 train-auc:0.968539
[70] eval-auc:0.699314 train-auc:0.968708
[71] eval-auc:0.698755 train-auc:0.969642
[72] eval-auc:0.69867 train-auc:0.969645
[73] eval-auc:0.6995 train-auc:0.970107
[74] eval-auc:0.700873 train-auc:0.971324
[75] eval-auc:0.701658 train-auc:0.972263
[76] eval-auc:0.701059 train-auc:0.973299
[77] eval-auc:0.701231 train-auc:0.973836
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[179] eval-auc:0.693056 train-auc:0.997847
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[182] eval-auc:0.694084 train-auc:0.998019
[183] eval-auc:0.694856 train-auc:0.998049
[184] eval-auc:0.695317 train-auc:0.998103
[185] eval-auc:0.694391 train-auc:0.998131
[186] eval-auc:0.694792 train-auc:0.998196
[187] eval-auc:0.695009 train-auc:0.998267
[188] eval-auc:0.694307 train-auc:0.998336
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[190] eval-auc:0.694355 train-auc:0.998483
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[201] eval-auc:0.695282 train-auc:0.998916
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[206] eval-auc:0.695625 train-auc:0.999024
[207] eval-auc:0.69587 train-auc:0.999017
[208] eval-auc:0.695838 train-auc:0.999039
[209] eval-auc:0.695309 train-auc:0.999036
[210] eval-auc:0.694379 train-auc:0.999056
[211] eval-auc:0.694024 train-auc:0.999065
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[220] eval-auc:0.692013 train-auc:0.999235
[221] eval-auc:0.692737 train-auc:0.999263
[222] eval-auc:0.692622 train-auc:0.999252
[223] eval-auc:0.693502 train-auc:0.99921
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[225] eval-auc:0.69347 train-auc:0.999299
[226] eval-auc:0.693618 train-auc:0.999283
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[228] eval-auc:0.69468 train-auc:0.999323
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[230] eval-auc:0.694476 train-auc:0.999342
[231] eval-auc:0.694849 train-auc:0.999376
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[233] eval-auc:0.695347 train-auc:0.999392
[234] eval-auc:0.695786 train-auc:0.999408
[235] eval-auc:0.696369 train-auc:0.999406
[236] eval-auc:0.696715 train-auc:0.999415
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[257] eval-auc:0.694416 train-auc:0.999622
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[260] eval-auc:0.694211 train-auc:0.999659
[261] eval-auc:0.692932 train-auc:0.999692
[262] eval-auc:0.693525 train-auc:0.999689
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[265] eval-auc:0.694926 train-auc:0.999731
[266] eval-auc:0.694454 train-auc:0.999728
[267] eval-auc:0.69377 train-auc:0.99976
[268] eval-auc:0.693312 train-auc:0.999782
[269] eval-auc:0.693263 train-auc:0.999779
[270] eval-auc:0.694292 train-auc:0.99982
[271] eval-auc:0.694711 train-auc:0.999821
[272] eval-auc:0.694149 train-auc:0.999804
[273] eval-auc:0.69373 train-auc:0.999789
[274] eval-auc:0.694126 train-auc:0.99978
[275] eval-auc:0.69451 train-auc:0.999766
[276] eval-auc:0.695073 train-auc:0.999765
[277] eval-auc:0.694594 train-auc:0.999776
[278] eval-auc:0.694353 train-auc:0.999759
[279] eval-auc:0.694508 train-auc:0.999782
[280] eval-auc:0.694722 train-auc:0.999785
[281] eval-auc:0.695149 train-auc:0.999775
[282] eval-auc:0.694731 train-auc:0.999773
[283] eval-auc:0.694196 train-auc:0.99979
[284] eval-auc:0.693978 train-auc:0.999792
[285] eval-auc:0.69391 train-auc:0.999803
[286] eval-auc:0.693299 train-auc:0.999827
[287] eval-auc:0.693742 train-auc:0.999821
[288] eval-auc:0.694466 train-auc:0.99982
[289] eval-auc:0.694419 train-auc:0.999816
[290] eval-auc:0.695433 train-auc:0.999802
[291] eval-auc:0.696454 train-auc:0.999808
[292] eval-auc:0.696678 train-auc:0.999816
[293] eval-auc:0.696089 train-auc:0.999827
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[295] eval-auc:0.696473 train-auc:0.999828
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[330] eval-auc:0.695909 train-auc:0.999957
[331] eval-auc:0.696071 train-auc:0.999958
[332] eval-auc:0.695877 train-auc:0.999961
[333] eval-auc:0.695874 train-auc:0.999969
[334] eval-auc:0.696681 train-auc:0.999964
[335] eval-auc:0.696576 train-auc:0.999969
[336] eval-auc:0.696438 train-auc:0.999967
[337] eval-auc:0.695864 train-auc:0.999968
[338] eval-auc:0.695137 train-auc:0.999971
[339] eval-auc:0.694973 train-auc:0.999966
[340] eval-auc:0.694906 train-auc:0.999968
[341] eval-auc:0.694495 train-auc:0.999967
[342] eval-auc:0.6941 train-auc:0.999966
[343] eval-auc:0.694262 train-auc:0.999972
[344] eval-auc:0.693983 train-auc:0.99997
[345] eval-auc:0.69401 train-auc:0.999971
[346] eval-auc:0.693867 train-auc:0.99997
[347] eval-auc:0.693852 train-auc:0.99997
[348] eval-auc:0.693587 train-auc:0.999969
[349] eval-auc:0.69349 train-auc:0.999977
[350] eval-auc:0.693214 train-auc:0.999984
[351] eval-auc:0.693292 train-auc:0.999985
[352] eval-auc:0.69303 train-auc:0.999984
[353] eval-auc:0.692786 train-auc:0.999985
[354] eval-auc:0.692967 train-auc:0.999989
[355] eval-auc:0.693088 train-auc:0.99999
[356] eval-auc:0.693031 train-auc:0.99999
[357] eval-auc:0.693015 train-auc:0.999991
[358] eval-auc:0.692823 train-auc:0.999989
[359] eval-auc:0.692958 train-auc:0.99999
[360] eval-auc:0.692874 train-auc:0.999995
[361] eval-auc:0.692412 train-auc:0.999995
[362] eval-auc:0.692278 train-auc:0.999995
[363] eval-auc:0.693313 train-auc:0.999992
[364] eval-auc:0.693155 train-auc:0.999991
[365] eval-auc:0.69297 train-auc:0.999991
[366] eval-auc:0.692733 train-auc:0.999991
[367] eval-auc:0.692745 train-auc:0.99999
[368] eval-auc:0.692325 train-auc:0.999989
[369] eval-auc:0.691608 train-auc:0.999988
Score 0.6916075844510227
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8, 'eta': 0.1, 'eval_metric': 'auc', 'gamma': 0.5, 'max_depth': 2, 'min_child_weight': 3.0, 'n_estimators': 138.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.669332 train-auc:0.690256
[1] eval-auc:0.644684 train-auc:0.675512
[2] eval-auc:0.694121 train-auc:0.70837
[3] eval-auc:0.700941 train-auc:0.70941
[4] eval-auc:0.686972 train-auc:0.71259
[5] eval-auc:0.705745 train-auc:0.712571
[6] eval-auc:0.700259 train-auc:0.707772
[7] eval-auc:0.698739 train-auc:0.709629
[8] eval-auc:0.699779 train-auc:0.709689
[9] eval-auc:0.698729 train-auc:0.709623
[10] eval-auc:0.698764 train-auc:0.710485
[11] eval-auc:0.698438 train-auc:0.71205
[12] eval-auc:0.698685 train-auc:0.713102
[13] eval-auc:0.699358 train-auc:0.713173
[14] eval-auc:0.69911 train-auc:0.715158
[15] eval-auc:0.698793 train-auc:0.716853
[16] eval-auc:0.699343 train-auc:0.718051
[17] eval-auc:0.698933 train-auc:0.718828
[18] eval-auc:0.69961 train-auc:0.719586
[19] eval-auc:0.698289 train-auc:0.720232
[20] eval-auc:0.702252 train-auc:0.723078
[21] eval-auc:0.699603 train-auc:0.721438
[22] eval-auc:0.698286 train-auc:0.722399
[23] eval-auc:0.700288 train-auc:0.722692
[24] eval-auc:0.700026 train-auc:0.724326
[25] eval-auc:0.697419 train-auc:0.72434
[26] eval-auc:0.698665 train-auc:0.724507
[27] eval-auc:0.698828 train-auc:0.7254
[28] eval-auc:0.698301 train-auc:0.725263
[29] eval-auc:0.69861 train-auc:0.726526
[30] eval-auc:0.698748 train-auc:0.727719
[31] eval-auc:0.699668 train-auc:0.727665
[32] eval-auc:0.701179 train-auc:0.728275
[33] eval-auc:0.699942 train-auc:0.729327
[34] eval-auc:0.701275 train-auc:0.729324
[35] eval-auc:0.701816 train-auc:0.730816
[36] eval-auc:0.700989 train-auc:0.732843
[37] eval-auc:0.700937 train-auc:0.730477
[38] eval-auc:0.701726 train-auc:0.730966
[39] eval-auc:0.702775 train-auc:0.732037
[40] eval-auc:0.702864 train-auc:0.732559
[41] eval-auc:0.703067 train-auc:0.733587
[42] eval-auc:0.703428 train-auc:0.734045
[43] eval-auc:0.703519 train-auc:0.733962
[44] eval-auc:0.703439 train-auc:0.735495
[45] eval-auc:0.703822 train-auc:0.735735
[46] eval-auc:0.703501 train-auc:0.735541
[47] eval-auc:0.703769 train-auc:0.735338
[48] eval-auc:0.70456 train-auc:0.736415
[49] eval-auc:0.704319 train-auc:0.735952
[50] eval-auc:0.705562 train-auc:0.737091
[51] eval-auc:0.705452 train-auc:0.7373
[52] eval-auc:0.705554 train-auc:0.737469
[53] eval-auc:0.704898 train-auc:0.736505
[54] eval-auc:0.705458 train-auc:0.736963
[55] eval-auc:0.706192 train-auc:0.737382
[56] eval-auc:0.706377 train-auc:0.737621
[57] eval-auc:0.706361 train-auc:0.737844
[58] eval-auc:0.705378 train-auc:0.739311
[59] eval-auc:0.705045 train-auc:0.739663
[60] eval-auc:0.705798 train-auc:0.741593
[61] eval-auc:0.706187 train-auc:0.741551
[62] eval-auc:0.70598 train-auc:0.741751
[63] eval-auc:0.706225 train-auc:0.742393
[64] eval-auc:0.706321 train-auc:0.742134
[65] eval-auc:0.706381 train-auc:0.742438
[66] eval-auc:0.706284 train-auc:0.742136
[67] eval-auc:0.70647 train-auc:0.742302
[68] eval-auc:0.706385 train-auc:0.742621
[69] eval-auc:0.706108 train-auc:0.743311
[70] eval-auc:0.7066 train-auc:0.744794
[71] eval-auc:0.707128 train-auc:0.74553
[72] eval-auc:0.707192 train-auc:0.745841
[73] eval-auc:0.707413 train-auc:0.746239
[74] eval-auc:0.707421 train-auc:0.746819
[75] eval-auc:0.707362 train-auc:0.747028
[76] eval-auc:0.707369 train-auc:0.74719
[77] eval-auc:0.707427 train-auc:0.747758
[78] eval-auc:0.708052 train-auc:0.748594
[79] eval-auc:0.708069 train-auc:0.748764
[80] eval-auc:0.708222 train-auc:0.749015
[81] eval-auc:0.708114 train-auc:0.749451
[82] eval-auc:0.707535 train-auc:0.749982
[83] eval-auc:0.707684 train-auc:0.750243
[84] eval-auc:0.707621 train-auc:0.750673
[85] eval-auc:0.706628 train-auc:0.751924
[86] eval-auc:0.706209 train-auc:0.752508
[87] eval-auc:0.706443 train-auc:0.753318
[88] eval-auc:0.70646 train-auc:0.753435
[89] eval-auc:0.706527 train-auc:0.753777
[90] eval-auc:0.705414 train-auc:0.754497
[91] eval-auc:0.705507 train-auc:0.755101
[92] eval-auc:0.705393 train-auc:0.75563
[93] eval-auc:0.705538 train-auc:0.755864
[94] eval-auc:0.70569 train-auc:0.75633
[95] eval-auc:0.705763 train-auc:0.756651
[96] eval-auc:0.705701 train-auc:0.756725
[97] eval-auc:0.705349 train-auc:0.757727
[98] eval-auc:0.705541 train-auc:0.758202
[99] eval-auc:0.70542 train-auc:0.758998
[100] eval-auc:0.704977 train-auc:0.758929
[101] eval-auc:0.704971 train-auc:0.759282
[102] eval-auc:0.704919 train-auc:0.759568
[103] eval-auc:0.705309 train-auc:0.760403
[104] eval-auc:0.704737 train-auc:0.760543
[105] eval-auc:0.704748 train-auc:0.760582
[106] eval-auc:0.704874 train-auc:0.760736
[107] eval-auc:0.704737 train-auc:0.760516
[108] eval-auc:0.704957 train-auc:0.760813
[109] eval-auc:0.705452 train-auc:0.761427
[110] eval-auc:0.705618 train-auc:0.761928
[111] eval-auc:0.705729 train-auc:0.762091
[112] eval-auc:0.705952 train-auc:0.762398
[113] eval-auc:0.705714 train-auc:0.763282
[114] eval-auc:0.705777 train-auc:0.76359
[115] eval-auc:0.705737 train-auc:0.763873
[116] eval-auc:0.706302 train-auc:0.764381
[117] eval-auc:0.706692 train-auc:0.764836
[118] eval-auc:0.706509 train-auc:0.764952
[119] eval-auc:0.706884 train-auc:0.765179
[120] eval-auc:0.706889 train-auc:0.765193
[121] eval-auc:0.706428 train-auc:0.765667
[122] eval-auc:0.706711 train-auc:0.76569
[123] eval-auc:0.707209 train-auc:0.766175
[124] eval-auc:0.707477 train-auc:0.765621
[125] eval-auc:0.707331 train-auc:0.766256
[126] eval-auc:0.708162 train-auc:0.76688
[127] eval-auc:0.708368 train-auc:0.767598
[128] eval-auc:0.708549 train-auc:0.768419
[129] eval-auc:0.708779 train-auc:0.769299
[130] eval-auc:0.708844 train-auc:0.769756
[131] eval-auc:0.708888 train-auc:0.76989
[132] eval-auc:0.708215 train-auc:0.769725
[133] eval-auc:0.708544 train-auc:0.770003
[134] eval-auc:0.709137 train-auc:0.770472
[135] eval-auc:0.709021 train-auc:0.77081
[136] eval-auc:0.708144 train-auc:0.771678
[137] eval-auc:0.708929 train-auc:0.772607
Score 0.7089287237023232
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.7000000000000001, 'eta': 0.225, 'eval_metric': 'auc', 'gamma': 0.8, 'max_depth': 13, 'min_child_weight': 1.0, 'n_estimators': 940.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.637286 train-auc:0.877987
[1] eval-auc:0.643617 train-auc:0.958092
[2] eval-auc:0.630648 train-auc:0.983975
[3] eval-auc:0.633127 train-auc:0.992324
[4] eval-auc:0.652034 train-auc:0.996195
[5] eval-auc:0.650003 train-auc:0.998475
[6] eval-auc:0.653883 train-auc:0.99914
[7] eval-auc:0.647591 train-auc:0.999585
[8] eval-auc:0.658063 train-auc:0.999869
[9] eval-auc:0.657949 train-auc:0.999911
[10] eval-auc:0.653197 train-auc:0.999971
[11] eval-auc:0.650255 train-auc:0.999985
[12] eval-auc:0.652015 train-auc:0.999991
[13] eval-auc:0.654302 train-auc:0.999994
[14] eval-auc:0.655494 train-auc:0.999997
[15] eval-auc:0.653518 train-auc:0.999999
[16] eval-auc:0.653512 train-auc:0.999999
[17] eval-auc:0.662779 train-auc:1
[18] eval-auc:0.662263 train-auc:1
[19] eval-auc:0.667964 train-auc:1
[20] eval-auc:0.668036 train-auc:1
[21] eval-auc:0.669601 train-auc:1
[22] eval-auc:0.671996 train-auc:1
[23] eval-auc:0.679196 train-auc:1
[24] eval-auc:0.686793 train-auc:1
[25] eval-auc:0.686395 train-auc:1
[26] eval-auc:0.68495 train-auc:1
[27] eval-auc:0.690279 train-auc:1
[28] eval-auc:0.690239 train-auc:1
[29] eval-auc:0.690042 train-auc:1
[30] eval-auc:0.690461 train-auc:1
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[34] eval-auc:0.689861 train-auc:1
[35] eval-auc:0.688891 train-auc:1
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[39] eval-auc:0.688291 train-auc:1
[40] eval-auc:0.68859 train-auc:1
[41] eval-auc:0.689447 train-auc:1
[42] eval-auc:0.688781 train-auc:1
[43] eval-auc:0.687958 train-auc:1
[44] eval-auc:0.689698 train-auc:1
[45] eval-auc:0.689279 train-auc:1
[46] eval-auc:0.691225 train-auc:1
[47] eval-auc:0.691489 train-auc:1
[48] eval-auc:0.690836 train-auc:1
[49] eval-auc:0.69063 train-auc:1
[50] eval-auc:0.689986 train-auc:1
[51] eval-auc:0.689639 train-auc:1
[52] eval-auc:0.689627 train-auc:1
[53] eval-auc:0.68952 train-auc:1
[54] eval-auc:0.689491 train-auc:1
[55] eval-auc:0.6892 train-auc:1
[56] eval-auc:0.68899 train-auc:1
[57] eval-auc:0.688663 train-auc:1
[58] eval-auc:0.6895 train-auc:1
[59] eval-auc:0.68945 train-auc:1
[60] eval-auc:0.689725 train-auc:1
[61] eval-auc:0.690097 train-auc:1
[62] eval-auc:0.690097 train-auc:1
[63] eval-auc:0.690642 train-auc:1
[64] eval-auc:0.690781 train-auc:1
[65] eval-auc:0.690251 train-auc:1
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[68] eval-auc:0.690124 train-auc:1
[69] eval-auc:0.689684 train-auc:1
[70] eval-auc:0.693685 train-auc:1
[71] eval-auc:0.693439 train-auc:1
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[80] eval-auc:0.691662 train-auc:1
[81] eval-auc:0.691923 train-auc:1
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[90] eval-auc:0.696241 train-auc:1
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[100] eval-auc:0.697131 train-auc:1
[101] eval-auc:0.696948 train-auc:1
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[131] eval-auc:0.695679 train-auc:1
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[135] eval-auc:0.69546 train-auc:1
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[137] eval-auc:0.695497 train-auc:1
[138] eval-auc:0.695836 train-auc:1
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[140] eval-auc:0.695836 train-auc:1
[141] eval-auc:0.695836 train-auc:1
[142] eval-auc:0.695975 train-auc:1
[143] eval-auc:0.69578 train-auc:1
[144] eval-auc:0.69578 train-auc:1
[145] eval-auc:0.69578 train-auc:1
[146] eval-auc:0.695666 train-auc:1
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[148] eval-auc:0.695259 train-auc:1
[149] eval-auc:0.695259 train-auc:1
[150] eval-auc:0.695297 train-auc:1
[151] eval-auc:0.695297 train-auc:1
[152] eval-auc:0.694781 train-auc:1
[153] eval-auc:0.695189 train-auc:1
[154] eval-auc:0.695189 train-auc:1
[155] eval-auc:0.695541 train-auc:1
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[157] eval-auc:0.695541 train-auc:1
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[159] eval-auc:0.696479 train-auc:1
[160] eval-auc:0.696479 train-auc:1
[161] eval-auc:0.696479 train-auc:1
[162] eval-auc:0.696237 train-auc:1
[163] eval-auc:0.696223 train-auc:1
[164] eval-auc:0.696214 train-auc:1
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[171] eval-auc:0.696316 train-auc:1
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[174] eval-auc:0.696014 train-auc:1
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[186] eval-auc:0.696583 train-auc:1
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[189] eval-auc:0.696657 train-auc:1
[190] eval-auc:0.696325 train-auc:1
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[224] eval-auc:0.695848 train-auc:1
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[790] eval-auc:0.697461 train-auc:1
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[800] eval-auc:0.697461 train-auc:1
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[802] eval-auc:0.697389 train-auc:1
[803] eval-auc:0.697389 train-auc:1
[804] eval-auc:0.697389 train-auc:1
[805] eval-auc:0.697389 train-auc:1
[806] eval-auc:0.697389 train-auc:1
[807] eval-auc:0.697389 train-auc:1
[808] eval-auc:0.697389 train-auc:1
[809] eval-auc:0.697389 train-auc:1
[810] eval-auc:0.697389 train-auc:1
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[812] eval-auc:0.697389 train-auc:1
[813] eval-auc:0.697389 train-auc:1
[814] eval-auc:0.697389 train-auc:1
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[826] eval-auc:0.697389 train-auc:1
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[830] eval-auc:0.697389 train-auc:1
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[833] eval-auc:0.697389 train-auc:1
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[835] eval-auc:0.697389 train-auc:1
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[838] eval-auc:0.697389 train-auc:1
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[840] eval-auc:0.697389 train-auc:1
[841] eval-auc:0.697389 train-auc:1
[842] eval-auc:0.697389 train-auc:1
[843] eval-auc:0.697389 train-auc:1
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[858] eval-auc:0.697691 train-auc:1
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[866] eval-auc:0.697691 train-auc:1
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[896] eval-auc:0.697691 train-auc:1
[897] eval-auc:0.697691 train-auc:1
[898] eval-auc:0.697691 train-auc:1
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[900] eval-auc:0.697691 train-auc:1
[901] eval-auc:0.697691 train-auc:1
[902] eval-auc:0.697691 train-auc:1
[903] eval-auc:0.697691 train-auc:1
[904] eval-auc:0.697691 train-auc:1
[905] eval-auc:0.697691 train-auc:1
[906] eval-auc:0.697691 train-auc:1
[907] eval-auc:0.697691 train-auc:1
[908] eval-auc:0.697691 train-auc:1
[909] eval-auc:0.697691 train-auc:1
[910] eval-auc:0.697691 train-auc:1
[911] eval-auc:0.697691 train-auc:1
[912] eval-auc:0.697691 train-auc:1
[913] eval-auc:0.697691 train-auc:1
[914] eval-auc:0.697691 train-auc:1
[915] eval-auc:0.697903 train-auc:1
[916] eval-auc:0.697903 train-auc:1
[917] eval-auc:0.697903 train-auc:1
[918] eval-auc:0.697903 train-auc:1
[919] eval-auc:0.698806 train-auc:1
[920] eval-auc:0.698806 train-auc:1
[921] eval-auc:0.698806 train-auc:1
[922] eval-auc:0.698806 train-auc:1
[923] eval-auc:0.698831 train-auc:1
[924] eval-auc:0.698831 train-auc:1
[925] eval-auc:0.698831 train-auc:1
[926] eval-auc:0.698831 train-auc:1
[927] eval-auc:0.698868 train-auc:1
[928] eval-auc:0.698868 train-auc:1
[929] eval-auc:0.698868 train-auc:1
[930] eval-auc:0.698815 train-auc:1
[931] eval-auc:0.698815 train-auc:1
[932] eval-auc:0.698815 train-auc:1
[933] eval-auc:0.698815 train-auc:1
[934] eval-auc:0.698815 train-auc:1
[935] eval-auc:0.698815 train-auc:1
[936] eval-auc:0.698815 train-auc:1
[937] eval-auc:0.698815 train-auc:1
[938] eval-auc:0.698815 train-auc:1
[939] eval-auc:0.698815 train-auc:1
Score 0.6988147011170801
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 1.0, 'eta': 0.30000000000000004, 'eval_metric': 'auc', 'gamma': 0.65, 'max_depth': 6, 'min_child_weight': 4.0, 'n_estimators': 449.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.8500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.682609 train-auc:0.77314
[1] eval-auc:0.68521 train-auc:0.805554
[2] eval-auc:0.689461 train-auc:0.833987
[3] eval-auc:0.687419 train-auc:0.851832
[4] eval-auc:0.69037 train-auc:0.864756
[5] eval-auc:0.691314 train-auc:0.875709
[6] eval-auc:0.692764 train-auc:0.88106
[7] eval-auc:0.694959 train-auc:0.888237
[8] eval-auc:0.697692 train-auc:0.897498
[9] eval-auc:0.697025 train-auc:0.904205
[10] eval-auc:0.696054 train-auc:0.910625
[11] eval-auc:0.69813 train-auc:0.916229
[12] eval-auc:0.69688 train-auc:0.922385
[13] eval-auc:0.699699 train-auc:0.930641
[14] eval-auc:0.697225 train-auc:0.93833
[15] eval-auc:0.699463 train-auc:0.945546
[16] eval-auc:0.698987 train-auc:0.947047
[17] eval-auc:0.700467 train-auc:0.948526
[18] eval-auc:0.699023 train-auc:0.951307
[19] eval-auc:0.70021 train-auc:0.953906
[20] eval-auc:0.701071 train-auc:0.957474
[21] eval-auc:0.697529 train-auc:0.961096
[22] eval-auc:0.697568 train-auc:0.96271
[23] eval-auc:0.697368 train-auc:0.965316
[24] eval-auc:0.700194 train-auc:0.967344
[25] eval-auc:0.699634 train-auc:0.97064
[26] eval-auc:0.697155 train-auc:0.972618
[27] eval-auc:0.696313 train-auc:0.973612
[28] eval-auc:0.695685 train-auc:0.976105
[29] eval-auc:0.694553 train-auc:0.976584
[30] eval-auc:0.696014 train-auc:0.977215
[31] eval-auc:0.696531 train-auc:0.978395
[32] eval-auc:0.697062 train-auc:0.979638
[33] eval-auc:0.696989 train-auc:0.980695
[34] eval-auc:0.694359 train-auc:0.981925
[35] eval-auc:0.693724 train-auc:0.983142
[36] eval-auc:0.69237 train-auc:0.984433
[37] eval-auc:0.691203 train-auc:0.985389
[38] eval-auc:0.692469 train-auc:0.986585
[39] eval-auc:0.69276 train-auc:0.987257
[40] eval-auc:0.693039 train-auc:0.987481
[41] eval-auc:0.692849 train-auc:0.98788
[42] eval-auc:0.692508 train-auc:0.988423
[43] eval-auc:0.69361 train-auc:0.988836
[44] eval-auc:0.693855 train-auc:0.989057
[45] eval-auc:0.692294 train-auc:0.989994
[46] eval-auc:0.692759 train-auc:0.991265
[47] eval-auc:0.690935 train-auc:0.991517
[48] eval-auc:0.690734 train-auc:0.991864
[49] eval-auc:0.691384 train-auc:0.99267
[50] eval-auc:0.69068 train-auc:0.993433
[51] eval-auc:0.68952 train-auc:0.99399
[52] eval-auc:0.68938 train-auc:0.994182
[53] eval-auc:0.690191 train-auc:0.994317
[54] eval-auc:0.690724 train-auc:0.994687
[55] eval-auc:0.689867 train-auc:0.9951
[56] eval-auc:0.69066 train-auc:0.995289
[57] eval-auc:0.690082 train-auc:0.995386
[58] eval-auc:0.690735 train-auc:0.995574
[59] eval-auc:0.691122 train-auc:0.995582
[60] eval-auc:0.690523 train-auc:0.995903
[61] eval-auc:0.691518 train-auc:0.996138
[62] eval-auc:0.690921 train-auc:0.996214
[63] eval-auc:0.692182 train-auc:0.996339
[64] eval-auc:0.69156 train-auc:0.996399
[65] eval-auc:0.691128 train-auc:0.996441
[66] eval-auc:0.69097 train-auc:0.996638
[67] eval-auc:0.691583 train-auc:0.996816
[68] eval-auc:0.692543 train-auc:0.99714
[69] eval-auc:0.693599 train-auc:0.997249
[70] eval-auc:0.693414 train-auc:0.997387
[71] eval-auc:0.693047 train-auc:0.997481
[72] eval-auc:0.693578 train-auc:0.997597
[73] eval-auc:0.694592 train-auc:0.997766
[74] eval-auc:0.692482 train-auc:0.997968
[75] eval-auc:0.691101 train-auc:0.998153
[76] eval-auc:0.692022 train-auc:0.998289
[77] eval-auc:0.691332 train-auc:0.998473
[78] eval-auc:0.690432 train-auc:0.998578
[79] eval-auc:0.68924 train-auc:0.998746
[80] eval-auc:0.689928 train-auc:0.998752
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[82] eval-auc:0.690656 train-auc:0.998861
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[84] eval-auc:0.688305 train-auc:0.998937
[85] eval-auc:0.68862 train-auc:0.998991
[86] eval-auc:0.688309 train-auc:0.998984
[87] eval-auc:0.688717 train-auc:0.999075
[88] eval-auc:0.687822 train-auc:0.999207
[89] eval-auc:0.688299 train-auc:0.999281
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[91] eval-auc:0.68788 train-auc:0.999368
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[100] eval-auc:0.684417 train-auc:0.999672
[101] eval-auc:0.683962 train-auc:0.999691
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[103] eval-auc:0.684895 train-auc:0.999714
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[105] eval-auc:0.684713 train-auc:0.999741
[106] eval-auc:0.682298 train-auc:0.999731
[107] eval-auc:0.68243 train-auc:0.999757
[108] eval-auc:0.683318 train-auc:0.999827
[109] eval-auc:0.68333 train-auc:0.999812
[110] eval-auc:0.683417 train-auc:0.999816
[111] eval-auc:0.683176 train-auc:0.999825
[112] eval-auc:0.68361 train-auc:0.999841
[113] eval-auc:0.68299 train-auc:0.999874
[114] eval-auc:0.682594 train-auc:0.999877
[115] eval-auc:0.682049 train-auc:0.999881
[116] eval-auc:0.682258 train-auc:0.99989
[117] eval-auc:0.682211 train-auc:0.999892
[118] eval-auc:0.682954 train-auc:0.999902
[119] eval-auc:0.683239 train-auc:0.999914
[120] eval-auc:0.684014 train-auc:0.999927
[121] eval-auc:0.683895 train-auc:0.99994
[122] eval-auc:0.682855 train-auc:0.999941
[123] eval-auc:0.683105 train-auc:0.999943
[124] eval-auc:0.681484 train-auc:0.999946
[125] eval-auc:0.680836 train-auc:0.999948
[126] eval-auc:0.680601 train-auc:0.999948
[127] eval-auc:0.68345 train-auc:0.999953
[128] eval-auc:0.68292 train-auc:0.999953
[129] eval-auc:0.682939 train-auc:0.999955
[130] eval-auc:0.682541 train-auc:0.999956
[131] eval-auc:0.682401 train-auc:0.999954
[132] eval-auc:0.681491 train-auc:0.999968
[133] eval-auc:0.681896 train-auc:0.999972
[134] eval-auc:0.682183 train-auc:0.999972
[135] eval-auc:0.68359 train-auc:0.999975
[136] eval-auc:0.683845 train-auc:0.999976
[137] eval-auc:0.684012 train-auc:0.999975
[138] eval-auc:0.683785 train-auc:0.999975
[139] eval-auc:0.6843 train-auc:0.999977
[140] eval-auc:0.684365 train-auc:0.999987
[141] eval-auc:0.684502 train-auc:0.999988
[142] eval-auc:0.684646 train-auc:0.999991
[143] eval-auc:0.684367 train-auc:0.999992
[144] eval-auc:0.685131 train-auc:0.999994
[145] eval-auc:0.685779 train-auc:0.99999
[146] eval-auc:0.685693 train-auc:0.999986
[147] eval-auc:0.686808 train-auc:0.999988
[148] eval-auc:0.685643 train-auc:0.999987
[149] eval-auc:0.685584 train-auc:0.999991
[150] eval-auc:0.685987 train-auc:0.999993
[151] eval-auc:0.686599 train-auc:0.999992
[152] eval-auc:0.687254 train-auc:0.99999
[153] eval-auc:0.6867 train-auc:0.99999
[154] eval-auc:0.687024 train-auc:0.999992
[155] eval-auc:0.686631 train-auc:0.999998
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[157] eval-auc:0.686307 train-auc:0.999998
[158] eval-auc:0.686551 train-auc:0.999998
[159] eval-auc:0.687125 train-auc:0.999998
[160] eval-auc:0.687024 train-auc:0.999998
[161] eval-auc:0.687048 train-auc:0.999998
[162] eval-auc:0.686991 train-auc:0.999998
[163] eval-auc:0.687122 train-auc:0.999999
[164] eval-auc:0.687117 train-auc:0.999999
[165] eval-auc:0.687508 train-auc:0.999998
[166] eval-auc:0.688242 train-auc:0.999998
[167] eval-auc:0.687703 train-auc:1
[168] eval-auc:0.687956 train-auc:1
[169] eval-auc:0.688041 train-auc:1
[170] eval-auc:0.687708 train-auc:1
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[180] eval-auc:0.687199 train-auc:1
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[190] eval-auc:0.688038 train-auc:1
[191] eval-auc:0.688594 train-auc:1
[192] eval-auc:0.687729 train-auc:1
[193] eval-auc:0.687102 train-auc:1
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[200] eval-auc:0.685402 train-auc:1
[201] eval-auc:0.685194 train-auc:1
[202] eval-auc:0.685077 train-auc:1
[203] eval-auc:0.684996 train-auc:1
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[250] eval-auc:0.684472 train-auc:1
[251] eval-auc:0.684215 train-auc:1
[252] eval-auc:0.68463 train-auc:1
[253] eval-auc:0.685039 train-auc:1
[254] eval-auc:0.684933 train-auc:1
[255] eval-auc:0.685337 train-auc:1
[256] eval-auc:0.685718 train-auc:1
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[258] eval-auc:0.684678 train-auc:1
[259] eval-auc:0.684812 train-auc:1
[260] eval-auc:0.684915 train-auc:1
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[264] eval-auc:0.684653 train-auc:1
[265] eval-auc:0.68448 train-auc:1
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[268] eval-auc:0.684163 train-auc:1
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[270] eval-auc:0.684216 train-auc:1
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[274] eval-auc:0.68472 train-auc:1
[275] eval-auc:0.684551 train-auc:1
[276] eval-auc:0.684819 train-auc:1
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[280] eval-auc:0.684266 train-auc:1
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[284] eval-auc:0.683613 train-auc:1
[285] eval-auc:0.683674 train-auc:1
[286] eval-auc:0.68342 train-auc:1
[287] eval-auc:0.682966 train-auc:1
[288] eval-auc:0.682917 train-auc:1
[289] eval-auc:0.682636 train-auc:1
[290] eval-auc:0.682732 train-auc:1
[291] eval-auc:0.682349 train-auc:1
[292] eval-auc:0.682474 train-auc:1
[293] eval-auc:0.682468 train-auc:1
[294] eval-auc:0.681949 train-auc:1
[295] eval-auc:0.681751 train-auc:1
[296] eval-auc:0.681564 train-auc:1
[297] eval-auc:0.681089 train-auc:1
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[299] eval-auc:0.681462 train-auc:1
[300] eval-auc:0.681666 train-auc:1
[301] eval-auc:0.681798 train-auc:1
[302] eval-auc:0.681551 train-auc:1
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[310] eval-auc:0.683545 train-auc:1
[311] eval-auc:0.683493 train-auc:1
[312] eval-auc:0.68398 train-auc:1
[313] eval-auc:0.684093 train-auc:1
[314] eval-auc:0.683854 train-auc:1
[315] eval-auc:0.683645 train-auc:1
[316] eval-auc:0.683545 train-auc:1
[317] eval-auc:0.683691 train-auc:1
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[320] eval-auc:0.683239 train-auc:1
[321] eval-auc:0.683575 train-auc:1
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[323] eval-auc:0.683886 train-auc:1
[324] eval-auc:0.683994 train-auc:1
[325] eval-auc:0.684807 train-auc:1
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[328] eval-auc:0.685363 train-auc:1
[329] eval-auc:0.685261 train-auc:1
[330] eval-auc:0.685261 train-auc:1
[331] eval-auc:0.685131 train-auc:1
[332] eval-auc:0.685145 train-auc:1
[333] eval-auc:0.685 train-auc:1
[334] eval-auc:0.685 train-auc:1
[335] eval-auc:0.685215 train-auc:1
[336] eval-auc:0.684923 train-auc:1
[337] eval-auc:0.685069 train-auc:1
[338] eval-auc:0.685093 train-auc:1
[339] eval-auc:0.684891 train-auc:1
[340] eval-auc:0.68513 train-auc:1
[341] eval-auc:0.68513 train-auc:1
[342] eval-auc:0.685137 train-auc:1
[343] eval-auc:0.686103 train-auc:1
[344] eval-auc:0.685642 train-auc:1
[345] eval-auc:0.68562 train-auc:1
[346] eval-auc:0.685606 train-auc:1
[347] eval-auc:0.685929 train-auc:1
[348] eval-auc:0.685887 train-auc:1
[349] eval-auc:0.685786 train-auc:1
[350] eval-auc:0.685786 train-auc:1
[351] eval-auc:0.685786 train-auc:1
[352] eval-auc:0.68597 train-auc:1
[353] eval-auc:0.685821 train-auc:1
[354] eval-auc:0.685864 train-auc:1
[355] eval-auc:0.685718 train-auc:1
[356] eval-auc:0.685584 train-auc:1
[357] eval-auc:0.685881 train-auc:1
[358] eval-auc:0.685759 train-auc:1
[359] eval-auc:0.685276 train-auc:1
[360] eval-auc:0.68561 train-auc:1
[361] eval-auc:0.68561 train-auc:1
[362] eval-auc:0.685951 train-auc:1
[363] eval-auc:0.685766 train-auc:1
[364] eval-auc:0.685766 train-auc:1
[365] eval-auc:0.685338 train-auc:1
[366] eval-auc:0.685338 train-auc:1
[367] eval-auc:0.685603 train-auc:1
[368] eval-auc:0.6855 train-auc:1
[369] eval-auc:0.685413 train-auc:1
[370] eval-auc:0.685355 train-auc:1
[371] eval-auc:0.685296 train-auc:1
[372] eval-auc:0.685296 train-auc:1
[373] eval-auc:0.684991 train-auc:1
[374] eval-auc:0.68504 train-auc:1
[375] eval-auc:0.684997 train-auc:1
[376] eval-auc:0.684997 train-auc:1
[377] eval-auc:0.685253 train-auc:1
[378] eval-auc:0.684982 train-auc:1
[379] eval-auc:0.685077 train-auc:1
[380] eval-auc:0.685077 train-auc:1
[381] eval-auc:0.685226 train-auc:1
[382] eval-auc:0.685025 train-auc:1
[383] eval-auc:0.685025 train-auc:1
[384] eval-auc:0.685073 train-auc:1
[385] eval-auc:0.685051 train-auc:1
[386] eval-auc:0.684707 train-auc:1
[387] eval-auc:0.684707 train-auc:1
[388] eval-auc:0.684306 train-auc:1
[389] eval-auc:0.684672 train-auc:1
[390] eval-auc:0.685183 train-auc:1
[391] eval-auc:0.685243 train-auc:1
[392] eval-auc:0.685243 train-auc:1
[393] eval-auc:0.68518 train-auc:1
[394] eval-auc:0.68518 train-auc:1
[395] eval-auc:0.685291 train-auc:1
[396] eval-auc:0.685239 train-auc:1
[397] eval-auc:0.685419 train-auc:1
[398] eval-auc:0.684665 train-auc:1
[399] eval-auc:0.68494 train-auc:1
[400] eval-auc:0.684737 train-auc:1
[401] eval-auc:0.684833 train-auc:1
[402] eval-auc:0.684909 train-auc:1
[403] eval-auc:0.684921 train-auc:1
[404] eval-auc:0.684892 train-auc:1
[405] eval-auc:0.684892 train-auc:1
[406] eval-auc:0.684921 train-auc:1
[407] eval-auc:0.684777 train-auc:1
[408] eval-auc:0.685022 train-auc:1
[409] eval-auc:0.685022 train-auc:1
[410] eval-auc:0.684955 train-auc:1
[411] eval-auc:0.685023 train-auc:1
[412] eval-auc:0.685023 train-auc:1
[413] eval-auc:0.685023 train-auc:1
[414] eval-auc:0.68516 train-auc:1
[415] eval-auc:0.68516 train-auc:1
[416] eval-auc:0.685306 train-auc:1
[417] eval-auc:0.685306 train-auc:1
[418] eval-auc:0.685306 train-auc:1
[419] eval-auc:0.68508 train-auc:1
[420] eval-auc:0.685136 train-auc:1
[421] eval-auc:0.685136 train-auc:1
[422] eval-auc:0.685048 train-auc:1
[423] eval-auc:0.685078 train-auc:1
[424] eval-auc:0.685131 train-auc:1
[425] eval-auc:0.68543 train-auc:1
[426] eval-auc:0.685288 train-auc:1
[427] eval-auc:0.685288 train-auc:1
[428] eval-auc:0.685389 train-auc:1
[429] eval-auc:0.685246 train-auc:1
[430] eval-auc:0.685246 train-auc:1
[431] eval-auc:0.685287 train-auc:1
[432] eval-auc:0.685287 train-auc:1
[433] eval-auc:0.685287 train-auc:1
[434] eval-auc:0.685552 train-auc:1
[435] eval-auc:0.686275 train-auc:1
[436] eval-auc:0.686275 train-auc:1
[437] eval-auc:0.686275 train-auc:1
[438] eval-auc:0.686264 train-auc:1
[439] eval-auc:0.686228 train-auc:1
[440] eval-auc:0.686228 train-auc:1
[441] eval-auc:0.686211 train-auc:1
[442] eval-auc:0.686211 train-auc:1
[443] eval-auc:0.686004 train-auc:1
[444] eval-auc:0.686275 train-auc:1
[445] eval-auc:0.686275 train-auc:1
[446] eval-auc:0.686304 train-auc:1
[447] eval-auc:0.686188 train-auc:1
[448] eval-auc:0.686188 train-auc:1
Score 0.686188161629451
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.6000000000000001, 'eta': 0.07500000000000001, 'eval_metric': 'auc', 'gamma': 0.9500000000000001, 'max_depth': 4, 'min_child_weight': 3.0, 'n_estimators': 179.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.8, 'tree_method': 'exact'}
[0] eval-auc:0.5294 train-auc:0.602749
[1] eval-auc:0.650833 train-auc:0.726001
[2] eval-auc:0.645596 train-auc:0.726741
[3] eval-auc:0.659811 train-auc:0.742319
[4] eval-auc:0.65974 train-auc:0.746561
[5] eval-auc:0.671918 train-auc:0.753323
[6] eval-auc:0.67272 train-auc:0.756255
[7] eval-auc:0.66772 train-auc:0.75541
[8] eval-auc:0.688082 train-auc:0.76774
[9] eval-auc:0.695001 train-auc:0.765034
[10] eval-auc:0.695751 train-auc:0.77087
[11] eval-auc:0.695432 train-auc:0.772741
[12] eval-auc:0.695883 train-auc:0.772442
[13] eval-auc:0.69701 train-auc:0.771659
[14] eval-auc:0.697845 train-auc:0.771115
[15] eval-auc:0.699447 train-auc:0.77366
[16] eval-auc:0.696907 train-auc:0.774011
[17] eval-auc:0.701339 train-auc:0.781103
[18] eval-auc:0.701575 train-auc:0.78439
[19] eval-auc:0.700876 train-auc:0.789212
[20] eval-auc:0.700621 train-auc:0.789144
[21] eval-auc:0.700345 train-auc:0.789048
[22] eval-auc:0.699605 train-auc:0.790581
[23] eval-auc:0.699484 train-auc:0.789698
[24] eval-auc:0.699672 train-auc:0.791381
[25] eval-auc:0.699643 train-auc:0.793858
[26] eval-auc:0.70119 train-auc:0.793634
[27] eval-auc:0.699707 train-auc:0.794151
[28] eval-auc:0.70043 train-auc:0.793325
[29] eval-auc:0.700018 train-auc:0.793229
[30] eval-auc:0.699381 train-auc:0.796886
[31] eval-auc:0.699506 train-auc:0.797203
[32] eval-auc:0.700587 train-auc:0.798078
[33] eval-auc:0.701463 train-auc:0.799455
[34] eval-auc:0.701444 train-auc:0.800985
[35] eval-auc:0.70269 train-auc:0.803698
[36] eval-auc:0.703231 train-auc:0.804052
[37] eval-auc:0.704102 train-auc:0.804669
[38] eval-auc:0.703674 train-auc:0.805733
[39] eval-auc:0.703896 train-auc:0.806635
[40] eval-auc:0.704638 train-auc:0.806584
[41] eval-auc:0.704967 train-auc:0.806855
[42] eval-auc:0.705066 train-auc:0.807472
[43] eval-auc:0.704618 train-auc:0.808989
[44] eval-auc:0.703339 train-auc:0.811175
[45] eval-auc:0.703939 train-auc:0.812095
[46] eval-auc:0.704408 train-auc:0.813714
[47] eval-auc:0.704325 train-auc:0.815052
[48] eval-auc:0.704823 train-auc:0.815713
[49] eval-auc:0.70631 train-auc:0.817799
[50] eval-auc:0.70587 train-auc:0.819812
[51] eval-auc:0.705641 train-auc:0.820139
[52] eval-auc:0.706817 train-auc:0.822621
[53] eval-auc:0.707397 train-auc:0.824651
[54] eval-auc:0.706832 train-auc:0.826321
[55] eval-auc:0.707385 train-auc:0.827483
[56] eval-auc:0.707377 train-auc:0.827766
[57] eval-auc:0.707414 train-auc:0.829521
[58] eval-auc:0.707601 train-auc:0.829954
[59] eval-auc:0.707996 train-auc:0.834535
[60] eval-auc:0.707265 train-auc:0.83575
[61] eval-auc:0.70684 train-auc:0.836637
[62] eval-auc:0.70694 train-auc:0.836497
[63] eval-auc:0.707091 train-auc:0.840359
[64] eval-auc:0.707074 train-auc:0.840712
[65] eval-auc:0.707478 train-auc:0.840353
[66] eval-auc:0.707621 train-auc:0.840858
[67] eval-auc:0.707019 train-auc:0.842009
[68] eval-auc:0.706849 train-auc:0.844585
[69] eval-auc:0.706565 train-auc:0.846171
[70] eval-auc:0.707354 train-auc:0.851211
[71] eval-auc:0.707992 train-auc:0.853169
[72] eval-auc:0.708719 train-auc:0.853965
[73] eval-auc:0.709274 train-auc:0.854763
[74] eval-auc:0.709536 train-auc:0.855764
[75] eval-auc:0.709329 train-auc:0.856909
[76] eval-auc:0.710139 train-auc:0.857582
[77] eval-auc:0.709842 train-auc:0.858344
[78] eval-auc:0.70899 train-auc:0.857821
[79] eval-auc:0.708403 train-auc:0.858537
[80] eval-auc:0.707735 train-auc:0.85941
[81] eval-auc:0.707389 train-auc:0.860511
[82] eval-auc:0.707502 train-auc:0.861077
[83] eval-auc:0.707095 train-auc:0.862328
[84] eval-auc:0.707534 train-auc:0.8638
[85] eval-auc:0.706501 train-auc:0.865223
[86] eval-auc:0.705947 train-auc:0.866418
[87] eval-auc:0.705408 train-auc:0.867765
[88] eval-auc:0.705632 train-auc:0.868371
[89] eval-auc:0.706031 train-auc:0.869154
[90] eval-auc:0.705318 train-auc:0.869791
[91] eval-auc:0.704973 train-auc:0.870778
[92] eval-auc:0.704627 train-auc:0.871634
[93] eval-auc:0.705369 train-auc:0.873048
[94] eval-auc:0.706063 train-auc:0.874268
[95] eval-auc:0.705464 train-auc:0.875558
[96] eval-auc:0.705233 train-auc:0.876122
[97] eval-auc:0.705359 train-auc:0.876624
[98] eval-auc:0.705775 train-auc:0.877454
[99] eval-auc:0.706167 train-auc:0.878621
[100] eval-auc:0.70587 train-auc:0.879135
[101] eval-auc:0.705705 train-auc:0.879725
[102] eval-auc:0.706357 train-auc:0.881371
[103] eval-auc:0.707184 train-auc:0.881769
[104] eval-auc:0.707776 train-auc:0.882366
[105] eval-auc:0.70705 train-auc:0.882935
[106] eval-auc:0.707039 train-auc:0.883425
[107] eval-auc:0.706899 train-auc:0.883451
[108] eval-auc:0.706812 train-auc:0.883996
[109] eval-auc:0.706185 train-auc:0.884847
[110] eval-auc:0.705548 train-auc:0.88597
[111] eval-auc:0.706112 train-auc:0.886918
[112] eval-auc:0.706456 train-auc:0.887632
[113] eval-auc:0.707226 train-auc:0.88759
[114] eval-auc:0.706707 train-auc:0.88834
[115] eval-auc:0.706642 train-auc:0.889126
[116] eval-auc:0.706922 train-auc:0.890366
[117] eval-auc:0.707313 train-auc:0.891101
[118] eval-auc:0.706923 train-auc:0.892123
[119] eval-auc:0.707012 train-auc:0.892654
[120] eval-auc:0.706952 train-auc:0.893104
[121] eval-auc:0.706509 train-auc:0.894031
[122] eval-auc:0.706555 train-auc:0.894963
[123] eval-auc:0.706564 train-auc:0.896141
[124] eval-auc:0.706739 train-auc:0.896222
[125] eval-auc:0.707101 train-auc:0.896726
[126] eval-auc:0.706826 train-auc:0.897628
[127] eval-auc:0.705918 train-auc:0.898159
[128] eval-auc:0.705681 train-auc:0.898861
[129] eval-auc:0.705955 train-auc:0.899429
[130] eval-auc:0.706494 train-auc:0.900167
[131] eval-auc:0.706611 train-auc:0.900532
[132] eval-auc:0.70655 train-auc:0.901986
[133] eval-auc:0.706329 train-auc:0.902531
[134] eval-auc:0.706917 train-auc:0.90371
[135] eval-auc:0.70678 train-auc:0.904105
[136] eval-auc:0.706243 train-auc:0.904283
[137] eval-auc:0.705506 train-auc:0.906543
[138] eval-auc:0.705441 train-auc:0.906722
[139] eval-auc:0.705783 train-auc:0.907111
[140] eval-auc:0.705951 train-auc:0.90729
[141] eval-auc:0.7057 train-auc:0.907838
[142] eval-auc:0.705407 train-auc:0.908108
[143] eval-auc:0.705582 train-auc:0.908312
[144] eval-auc:0.704571 train-auc:0.908435
[145] eval-auc:0.704411 train-auc:0.908893
[146] eval-auc:0.704086 train-auc:0.909324
[147] eval-auc:0.703363 train-auc:0.909745
[148] eval-auc:0.7031 train-auc:0.910485
[149] eval-auc:0.703316 train-auc:0.911015
[150] eval-auc:0.703011 train-auc:0.911824
[151] eval-auc:0.703343 train-auc:0.912361
[152] eval-auc:0.704318 train-auc:0.913127
[153] eval-auc:0.703878 train-auc:0.913995
[154] eval-auc:0.704196 train-auc:0.914234
[155] eval-auc:0.703654 train-auc:0.915392
[156] eval-auc:0.703995 train-auc:0.915938
[157] eval-auc:0.70405 train-auc:0.916309
[158] eval-auc:0.704199 train-auc:0.916881
[159] eval-auc:0.704364 train-auc:0.917656
[160] eval-auc:0.704505 train-auc:0.918074
[161] eval-auc:0.704539 train-auc:0.918384
[162] eval-auc:0.704283 train-auc:0.919385
[163] eval-auc:0.70329 train-auc:0.920498
[164] eval-auc:0.703474 train-auc:0.921162
[165] eval-auc:0.70326 train-auc:0.921412
[166] eval-auc:0.703202 train-auc:0.922504
[167] eval-auc:0.703025 train-auc:0.923177
[168] eval-auc:0.703109 train-auc:0.923395
[169] eval-auc:0.7029 train-auc:0.923342
[170] eval-auc:0.702935 train-auc:0.924206
[171] eval-auc:0.703456 train-auc:0.924641
[172] eval-auc:0.703579 train-auc:0.925338
[173] eval-auc:0.70357 train-auc:0.92545
[174] eval-auc:0.703811 train-auc:0.926168
[175] eval-auc:0.70363 train-auc:0.92662
[176] eval-auc:0.703293 train-auc:0.927038
[177] eval-auc:0.703409 train-auc:0.927801
[178] eval-auc:0.7035 train-auc:0.928401
Score 0.7035001644556518
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9, 'eta': 0.025, 'eval_metric': 'auc', 'gamma': 0.7000000000000001, 'max_depth': 3, 'min_child_weight': 5.0, 'n_estimators': 506.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9, 'tree_method': 'exact'}
[0] eval-auc:0.709213 train-auc:0.719387
[1] eval-auc:0.692597 train-auc:0.728662
[2] eval-auc:0.694369 train-auc:0.730229
[3] eval-auc:0.696605 train-auc:0.733225
[4] eval-auc:0.702213 train-auc:0.734445
[5] eval-auc:0.69655 train-auc:0.737546
[6] eval-auc:0.691733 train-auc:0.737953
[7] eval-auc:0.691867 train-auc:0.741349
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[377] eval-auc:0.710247 train-auc:0.870515
[378] eval-auc:0.710284 train-auc:0.870586
[379] eval-auc:0.71019 train-auc:0.87064
[380] eval-auc:0.710305 train-auc:0.870801
[381] eval-auc:0.71018 train-auc:0.871139
[382] eval-auc:0.709777 train-auc:0.871261
[383] eval-auc:0.710065 train-auc:0.871724
[384] eval-auc:0.710183 train-auc:0.872066
[385] eval-auc:0.710246 train-auc:0.872172
[386] eval-auc:0.710249 train-auc:0.87236
[387] eval-auc:0.710074 train-auc:0.872328
[388] eval-auc:0.710188 train-auc:0.87262
[389] eval-auc:0.710086 train-auc:0.873079
[390] eval-auc:0.710065 train-auc:0.873141
[391] eval-auc:0.709946 train-auc:0.87341
[392] eval-auc:0.710086 train-auc:0.873599
[393] eval-auc:0.709995 train-auc:0.873893
[394] eval-auc:0.710234 train-auc:0.874379
[395] eval-auc:0.710039 train-auc:0.874468
[396] eval-auc:0.709973 train-auc:0.874433
[397] eval-auc:0.710001 train-auc:0.874616
[398] eval-auc:0.709762 train-auc:0.875064
[399] eval-auc:0.709858 train-auc:0.875249
[400] eval-auc:0.709865 train-auc:0.875293
[401] eval-auc:0.709952 train-auc:0.875529
[402] eval-auc:0.710065 train-auc:0.875668
[403] eval-auc:0.71015 train-auc:0.875804
[404] eval-auc:0.710171 train-auc:0.876093
[405] eval-auc:0.710164 train-auc:0.876683
[406] eval-auc:0.710526 train-auc:0.876934
[407] eval-auc:0.710608 train-auc:0.877293
[408] eval-auc:0.710611 train-auc:0.877876
[409] eval-auc:0.71047 train-auc:0.877795
[410] eval-auc:0.710674 train-auc:0.87794
[411] eval-auc:0.710496 train-auc:0.878145
[412] eval-auc:0.710395 train-auc:0.878193
[413] eval-auc:0.710273 train-auc:0.878406
[414] eval-auc:0.71025 train-auc:0.878476
[415] eval-auc:0.710215 train-auc:0.8789
[416] eval-auc:0.710209 train-auc:0.878902
[417] eval-auc:0.71001 train-auc:0.878877
[418] eval-auc:0.709813 train-auc:0.879031
[419] eval-auc:0.70967 train-auc:0.879282
[420] eval-auc:0.709864 train-auc:0.879568
[421] eval-auc:0.709714 train-auc:0.879449
[422] eval-auc:0.709686 train-auc:0.879654
[423] eval-auc:0.709699 train-auc:0.87974
[424] eval-auc:0.7098 train-auc:0.87996
[425] eval-auc:0.709923 train-auc:0.879793
[426] eval-auc:0.710162 train-auc:0.880129
[427] eval-auc:0.710075 train-auc:0.88012
[428] eval-auc:0.710261 train-auc:0.880503
[429] eval-auc:0.710072 train-auc:0.880795
[430] eval-auc:0.710413 train-auc:0.881141
[431] eval-auc:0.710423 train-auc:0.881256
[432] eval-auc:0.710388 train-auc:0.881401
[433] eval-auc:0.710261 train-auc:0.881651
[434] eval-auc:0.710447 train-auc:0.881927
[435] eval-auc:0.710222 train-auc:0.88218
[436] eval-auc:0.710138 train-auc:0.882322
[437] eval-auc:0.710479 train-auc:0.882579
[438] eval-auc:0.710535 train-auc:0.882798
[439] eval-auc:0.710307 train-auc:0.882996
[440] eval-auc:0.710133 train-auc:0.883009
[441] eval-auc:0.709918 train-auc:0.883268
[442] eval-auc:0.709853 train-auc:0.88342
[443] eval-auc:0.709693 train-auc:0.883738
[444] eval-auc:0.709686 train-auc:0.883905
[445] eval-auc:0.709576 train-auc:0.884146
[446] eval-auc:0.709622 train-auc:0.884267
[447] eval-auc:0.709679 train-auc:0.884276
[448] eval-auc:0.709742 train-auc:0.884433
[449] eval-auc:0.709532 train-auc:0.884489
[450] eval-auc:0.709532 train-auc:0.884527
[451] eval-auc:0.709325 train-auc:0.884772
[452] eval-auc:0.709165 train-auc:0.884891
[453] eval-auc:0.709393 train-auc:0.884877
[454] eval-auc:0.709299 train-auc:0.884845
[455] eval-auc:0.709284 train-auc:0.884901
[456] eval-auc:0.709145 train-auc:0.88516
[457] eval-auc:0.709312 train-auc:0.885317
[458] eval-auc:0.709325 train-auc:0.885365
[459] eval-auc:0.709038 train-auc:0.8855
[460] eval-auc:0.708999 train-auc:0.885834
[461] eval-auc:0.70907 train-auc:0.886103
[462] eval-auc:0.708997 train-auc:0.886098
[463] eval-auc:0.70884 train-auc:0.886218
[464] eval-auc:0.709055 train-auc:0.886362
[465] eval-auc:0.709181 train-auc:0.886492
[466] eval-auc:0.709191 train-auc:0.886575
[467] eval-auc:0.709256 train-auc:0.88673
[468] eval-auc:0.709285 train-auc:0.886951
[469] eval-auc:0.709271 train-auc:0.887175
[470] eval-auc:0.709049 train-auc:0.887328
[471] eval-auc:0.708974 train-auc:0.887332
[472] eval-auc:0.709041 train-auc:0.887408
[473] eval-auc:0.708878 train-auc:0.887522
[474] eval-auc:0.708681 train-auc:0.887662
[475] eval-auc:0.708929 train-auc:0.887897
[476] eval-auc:0.708757 train-auc:0.888263
[477] eval-auc:0.708773 train-auc:0.888406
[478] eval-auc:0.70874 train-auc:0.888423
[479] eval-auc:0.708703 train-auc:0.888456
[480] eval-auc:0.708635 train-auc:0.888598
[481] eval-auc:0.708493 train-auc:0.888698
[482] eval-auc:0.708443 train-auc:0.888805
[483] eval-auc:0.70844 train-auc:0.889231
[484] eval-auc:0.708301 train-auc:0.889527
[485] eval-auc:0.70842 train-auc:0.889692
[486] eval-auc:0.708454 train-auc:0.889651
[487] eval-auc:0.708274 train-auc:0.889726
[488] eval-auc:0.70828 train-auc:0.889821
[489] eval-auc:0.708046 train-auc:0.890003
[490] eval-auc:0.708236 train-auc:0.89013
[491] eval-auc:0.708126 train-auc:0.890096
[492] eval-auc:0.70816 train-auc:0.890141
[493] eval-auc:0.708314 train-auc:0.890264
[494] eval-auc:0.708458 train-auc:0.890677
[495] eval-auc:0.708511 train-auc:0.890639
[496] eval-auc:0.708624 train-auc:0.890886
[497] eval-auc:0.708598 train-auc:0.891116
[498] eval-auc:0.708473 train-auc:0.891231
[499] eval-auc:0.708527 train-auc:0.891433
[500] eval-auc:0.708583 train-auc:0.891609
[501] eval-auc:0.708635 train-auc:0.891575
[502] eval-auc:0.708553 train-auc:0.891525
[503] eval-auc:0.708545 train-auc:0.891721
[504] eval-auc:0.708341 train-auc:0.89198
[505] eval-auc:0.708563 train-auc:0.892127
Score 0.7085632666983397
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.75, 'eta': 0.125, 'eval_metric': 'auc', 'gamma': 1.0, 'max_depth': 1, 'min_child_weight': 2.0, 'n_estimators': 716.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.75, 'tree_method': 'exact'}
[0] eval-auc:0.637627 train-auc:0.641495
[1] eval-auc:0.637627 train-auc:0.641495
[2] eval-auc:0.6691 train-auc:0.677286
[3] eval-auc:0.667391 train-auc:0.675934
[4] eval-auc:0.667391 train-auc:0.675934
[5] eval-auc:0.703099 train-auc:0.698724
[6] eval-auc:0.701451 train-auc:0.697323
[7] eval-auc:0.696068 train-auc:0.696735
[8] eval-auc:0.696068 train-auc:0.696735
[9] eval-auc:0.694859 train-auc:0.695305
[10] eval-auc:0.695277 train-auc:0.696737
[11] eval-auc:0.697756 train-auc:0.697535
[12] eval-auc:0.698725 train-auc:0.698094
[13] eval-auc:0.697504 train-auc:0.698456
[14] eval-auc:0.697504 train-auc:0.698456
[15] eval-auc:0.699509 train-auc:0.69876
[16] eval-auc:0.699139 train-auc:0.698309
[17] eval-auc:0.702463 train-auc:0.699097
[18] eval-auc:0.706893 train-auc:0.700422
[19] eval-auc:0.700298 train-auc:0.699488
[20] eval-auc:0.702137 train-auc:0.698761
[21] eval-auc:0.7023 train-auc:0.698833
[22] eval-auc:0.702614 train-auc:0.699194
[23] eval-auc:0.700791 train-auc:0.6987
[24] eval-auc:0.70297 train-auc:0.698891
[25] eval-auc:0.701129 train-auc:0.699618
[26] eval-auc:0.69986 train-auc:0.701613
[27] eval-auc:0.700984 train-auc:0.700824
[28] eval-auc:0.701116 train-auc:0.701127
[29] eval-auc:0.701501 train-auc:0.701167
[30] eval-auc:0.700057 train-auc:0.701803
[31] eval-auc:0.700089 train-auc:0.701887
[32] eval-auc:0.702258 train-auc:0.70427
[33] eval-auc:0.703859 train-auc:0.706319
[34] eval-auc:0.703003 train-auc:0.704945
[35] eval-auc:0.703496 train-auc:0.704689
[36] eval-auc:0.701842 train-auc:0.706751
[37] eval-auc:0.70235 train-auc:0.707477
[38] eval-auc:0.701827 train-auc:0.708016
[39] eval-auc:0.70448 train-auc:0.708529
[40] eval-auc:0.70473 train-auc:0.708769
[41] eval-auc:0.705631 train-auc:0.708813
[42] eval-auc:0.705878 train-auc:0.709004
[43] eval-auc:0.705343 train-auc:0.709355
[44] eval-auc:0.704065 train-auc:0.710504
[45] eval-auc:0.704246 train-auc:0.710708
[46] eval-auc:0.704338 train-auc:0.711261
[47] eval-auc:0.704411 train-auc:0.711411
[48] eval-auc:0.704691 train-auc:0.711696
[49] eval-auc:0.70467 train-auc:0.711174
[50] eval-auc:0.703601 train-auc:0.71159
[51] eval-auc:0.702263 train-auc:0.71076
[52] eval-auc:0.701908 train-auc:0.710266
[53] eval-auc:0.701218 train-auc:0.70983
[54] eval-auc:0.701296 train-auc:0.709795
[55] eval-auc:0.701371 train-auc:0.709946
[56] eval-auc:0.701456 train-auc:0.710509
[57] eval-auc:0.701664 train-auc:0.710966
[58] eval-auc:0.701309 train-auc:0.711025
[59] eval-auc:0.702043 train-auc:0.711081
[60] eval-auc:0.702087 train-auc:0.711172
[61] eval-auc:0.702027 train-auc:0.711408
[62] eval-auc:0.702539 train-auc:0.711811
[63] eval-auc:0.703168 train-auc:0.711778
[64] eval-auc:0.703126 train-auc:0.712674
[65] eval-auc:0.702223 train-auc:0.713181
[66] eval-auc:0.702516 train-auc:0.713696
[67] eval-auc:0.702271 train-auc:0.713733
[68] eval-auc:0.70207 train-auc:0.713965
[69] eval-auc:0.701431 train-auc:0.714003
[70] eval-auc:0.701166 train-auc:0.713654
[71] eval-auc:0.701359 train-auc:0.713812
[72] eval-auc:0.701451 train-auc:0.713937
[73] eval-auc:0.700672 train-auc:0.714303
[74] eval-auc:0.70066 train-auc:0.714508
[75] eval-auc:0.700449 train-auc:0.714406
[76] eval-auc:0.700698 train-auc:0.714457
[77] eval-auc:0.700254 train-auc:0.714524
[78] eval-auc:0.700337 train-auc:0.714609
[79] eval-auc:0.699729 train-auc:0.714921
[80] eval-auc:0.699446 train-auc:0.714533
[81] eval-auc:0.699464 train-auc:0.714634
[82] eval-auc:0.698872 train-auc:0.714831
[83] eval-auc:0.699315 train-auc:0.714807
[84] eval-auc:0.699481 train-auc:0.715079
[85] eval-auc:0.698348 train-auc:0.715343
[86] eval-auc:0.697882 train-auc:0.715456
[87] eval-auc:0.697286 train-auc:0.715625
[88] eval-auc:0.697096 train-auc:0.716308
[89] eval-auc:0.697202 train-auc:0.716378
[90] eval-auc:0.696427 train-auc:0.71656
[91] eval-auc:0.696129 train-auc:0.716267
[92] eval-auc:0.69585 train-auc:0.716037
[93] eval-auc:0.696004 train-auc:0.716133
[94] eval-auc:0.696225 train-auc:0.716217
[95] eval-auc:0.696815 train-auc:0.716574
[96] eval-auc:0.697283 train-auc:0.71672
[97] eval-auc:0.697437 train-auc:0.716899
[98] eval-auc:0.697556 train-auc:0.717021
[99] eval-auc:0.697739 train-auc:0.717185
[100] eval-auc:0.69681 train-auc:0.717313
[101] eval-auc:0.696968 train-auc:0.717535
[102] eval-auc:0.697105 train-auc:0.717602
[103] eval-auc:0.696927 train-auc:0.717659
[104] eval-auc:0.697102 train-auc:0.717879
[105] eval-auc:0.696681 train-auc:0.718063
[106] eval-auc:0.696547 train-auc:0.718009
[107] eval-auc:0.696599 train-auc:0.718035
[108] eval-auc:0.697137 train-auc:0.71801
[109] eval-auc:0.696727 train-auc:0.718125
[110] eval-auc:0.69677 train-auc:0.718278
[111] eval-auc:0.696964 train-auc:0.71834
[112] eval-auc:0.697189 train-auc:0.718524
[113] eval-auc:0.696612 train-auc:0.718623
[114] eval-auc:0.696186 train-auc:0.718614
[115] eval-auc:0.696262 train-auc:0.718732
[116] eval-auc:0.696542 train-auc:0.718872
[117] eval-auc:0.696598 train-auc:0.719197
[118] eval-auc:0.696167 train-auc:0.719225
[119] eval-auc:0.696136 train-auc:0.719189
[120] eval-auc:0.696099 train-auc:0.719086
[121] eval-auc:0.696186 train-auc:0.719106
[122] eval-auc:0.695928 train-auc:0.719186
[123] eval-auc:0.695669 train-auc:0.719475
[124] eval-auc:0.695637 train-auc:0.719415
[125] eval-auc:0.695402 train-auc:0.719446
[126] eval-auc:0.695481 train-auc:0.719615
[127] eval-auc:0.695082 train-auc:0.719729
[128] eval-auc:0.695267 train-auc:0.719828
[129] eval-auc:0.695254 train-auc:0.720158
[130] eval-auc:0.69524 train-auc:0.720412
[131] eval-auc:0.694767 train-auc:0.720459
[132] eval-auc:0.694911 train-auc:0.720464
[133] eval-auc:0.69482 train-auc:0.720559
[134] eval-auc:0.694878 train-auc:0.720429
[135] eval-auc:0.695042 train-auc:0.720503
[136] eval-auc:0.694538 train-auc:0.720538
[137] eval-auc:0.693931 train-auc:0.720552
[138] eval-auc:0.693975 train-auc:0.720655
[139] eval-auc:0.693684 train-auc:0.720569
[140] eval-auc:0.693685 train-auc:0.720621
[141] eval-auc:0.694117 train-auc:0.720805
[142] eval-auc:0.694597 train-auc:0.721083
[143] eval-auc:0.694787 train-auc:0.721197
[144] eval-auc:0.694819 train-auc:0.721215
[145] eval-auc:0.694578 train-auc:0.721337
[146] eval-auc:0.69433 train-auc:0.721523
[147] eval-auc:0.693835 train-auc:0.72161
[148] eval-auc:0.694218 train-auc:0.721563
[149] eval-auc:0.69398 train-auc:0.721649
[150] eval-auc:0.694211 train-auc:0.721757
[151] eval-auc:0.694458 train-auc:0.721831
[152] eval-auc:0.695054 train-auc:0.722044
[153] eval-auc:0.694822 train-auc:0.722107
[154] eval-auc:0.694841 train-auc:0.722391
[155] eval-auc:0.694987 train-auc:0.722594
[156] eval-auc:0.694431 train-auc:0.722572
[157] eval-auc:0.694552 train-auc:0.722658
[158] eval-auc:0.695056 train-auc:0.722686
[159] eval-auc:0.69545 train-auc:0.72268
[160] eval-auc:0.695934 train-auc:0.722822
[161] eval-auc:0.696264 train-auc:0.722849
[162] eval-auc:0.696622 train-auc:0.722873
[163] eval-auc:0.696599 train-auc:0.722988
[164] eval-auc:0.696678 train-auc:0.722902
[165] eval-auc:0.696785 train-auc:0.723226
[166] eval-auc:0.696508 train-auc:0.72337
[167] eval-auc:0.69668 train-auc:0.723486
[168] eval-auc:0.696834 train-auc:0.723509
[169] eval-auc:0.696994 train-auc:0.723435
[170] eval-auc:0.69689 train-auc:0.723495
[171] eval-auc:0.696672 train-auc:0.723536
[172] eval-auc:0.696981 train-auc:0.723606
[173] eval-auc:0.697074 train-auc:0.723723
[174] eval-auc:0.696855 train-auc:0.723827
[175] eval-auc:0.697198 train-auc:0.723739
[176] eval-auc:0.697268 train-auc:0.723905
[177] eval-auc:0.697399 train-auc:0.724094
[178] eval-auc:0.697169 train-auc:0.724307
[179] eval-auc:0.69717 train-auc:0.724353
[180] eval-auc:0.697121 train-auc:0.724361
[181] eval-auc:0.697228 train-auc:0.724566
[182] eval-auc:0.697054 train-auc:0.724603
[183] eval-auc:0.696345 train-auc:0.724597
[184] eval-auc:0.695873 train-auc:0.724684
[185] eval-auc:0.696104 train-auc:0.724814
[186] eval-auc:0.69631 train-auc:0.724946
[187] eval-auc:0.695998 train-auc:0.725153
[188] eval-auc:0.696135 train-auc:0.725409
[189] eval-auc:0.696288 train-auc:0.72549
[190] eval-auc:0.696331 train-auc:0.725591
[191] eval-auc:0.696344 train-auc:0.725658
[192] eval-auc:0.695662 train-auc:0.72555
[193] eval-auc:0.696301 train-auc:0.725652
[194] eval-auc:0.696298 train-auc:0.725735
[195] eval-auc:0.696183 train-auc:0.725662
[196] eval-auc:0.696889 train-auc:0.72571
[197] eval-auc:0.696906 train-auc:0.725788
[198] eval-auc:0.69678 train-auc:0.725907
[199] eval-auc:0.697002 train-auc:0.725982
[200] eval-auc:0.697066 train-auc:0.726031
[201] eval-auc:0.697203 train-auc:0.726112
[202] eval-auc:0.697338 train-auc:0.726211
[203] eval-auc:0.697469 train-auc:0.726402
[204] eval-auc:0.696917 train-auc:0.726484
[205] eval-auc:0.696687 train-auc:0.72644
[206] eval-auc:0.69624 train-auc:0.726357
[207] eval-auc:0.696128 train-auc:0.726358
[208] eval-auc:0.696282 train-auc:0.72644
[209] eval-auc:0.696568 train-auc:0.726449
[210] eval-auc:0.696495 train-auc:0.726511
[211] eval-auc:0.695953 train-auc:0.726623
[212] eval-auc:0.695892 train-auc:0.726713
[213] eval-auc:0.696012 train-auc:0.726827
[214] eval-auc:0.695111 train-auc:0.726895
[215] eval-auc:0.694937 train-auc:0.726886
[216] eval-auc:0.694998 train-auc:0.72718
[217] eval-auc:0.695141 train-auc:0.726965
[218] eval-auc:0.695214 train-auc:0.7272
[219] eval-auc:0.695599 train-auc:0.727297
[220] eval-auc:0.695724 train-auc:0.727378
[221] eval-auc:0.695235 train-auc:0.72746
[222] eval-auc:0.695389 train-auc:0.727629
[223] eval-auc:0.695743 train-auc:0.727573
[224] eval-auc:0.695231 train-auc:0.727634
[225] eval-auc:0.695213 train-auc:0.727641
[226] eval-auc:0.695406 train-auc:0.72773
[227] eval-auc:0.694989 train-auc:0.727668
[228] eval-auc:0.695068 train-auc:0.72784
[229] eval-auc:0.694786 train-auc:0.727879
[230] eval-auc:0.694541 train-auc:0.727952
[231] eval-auc:0.693879 train-auc:0.728073
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[599] eval-auc:0.692788 train-auc:0.746167
[600] eval-auc:0.692699 train-auc:0.746101
[601] eval-auc:0.693123 train-auc:0.746157
[602] eval-auc:0.692655 train-auc:0.746104
[603] eval-auc:0.692811 train-auc:0.746226
[604] eval-auc:0.692766 train-auc:0.746637
[605] eval-auc:0.692413 train-auc:0.746537
[606] eval-auc:0.692244 train-auc:0.746608
[607] eval-auc:0.691848 train-auc:0.74653
[608] eval-auc:0.691967 train-auc:0.74658
[609] eval-auc:0.69209 train-auc:0.746678
[610] eval-auc:0.692518 train-auc:0.746893
[611] eval-auc:0.692686 train-auc:0.747015
[612] eval-auc:0.692463 train-auc:0.74686
[613] eval-auc:0.692715 train-auc:0.747034
[614] eval-auc:0.692754 train-auc:0.74715
[615] eval-auc:0.692769 train-auc:0.74719
[616] eval-auc:0.693013 train-auc:0.747362
[617] eval-auc:0.692894 train-auc:0.747391
[618] eval-auc:0.692884 train-auc:0.747224
[619] eval-auc:0.6928 train-auc:0.747293
[620] eval-auc:0.693004 train-auc:0.747294
[621] eval-auc:0.692913 train-auc:0.747287
[622] eval-auc:0.693086 train-auc:0.747402
[623] eval-auc:0.693153 train-auc:0.747461
[624] eval-auc:0.693385 train-auc:0.747466
[625] eval-auc:0.693517 train-auc:0.747464
[626] eval-auc:0.693485 train-auc:0.747441
[627] eval-auc:0.69335 train-auc:0.747551
[628] eval-auc:0.693002 train-auc:0.747487
[629] eval-auc:0.693094 train-auc:0.747641
[630] eval-auc:0.693086 train-auc:0.747662
[631] eval-auc:0.693494 train-auc:0.747776
[632] eval-auc:0.693444 train-auc:0.747748
[633] eval-auc:0.693418 train-auc:0.747841
[634] eval-auc:0.693385 train-auc:0.747854
[635] eval-auc:0.693281 train-auc:0.74796
[636] eval-auc:0.693351 train-auc:0.748037
[637] eval-auc:0.693532 train-auc:0.748083
[638] eval-auc:0.693616 train-auc:0.748106
[639] eval-auc:0.693132 train-auc:0.748116
[640] eval-auc:0.693133 train-auc:0.74808
[641] eval-auc:0.692561 train-auc:0.748193
[642] eval-auc:0.692585 train-auc:0.748262
[643] eval-auc:0.692739 train-auc:0.748354
[644] eval-auc:0.692439 train-auc:0.748338
[645] eval-auc:0.692555 train-auc:0.748435
[646] eval-auc:0.692681 train-auc:0.74842
[647] eval-auc:0.692873 train-auc:0.748481
[648] eval-auc:0.692786 train-auc:0.748528
[649] eval-auc:0.693249 train-auc:0.748518
[650] eval-auc:0.693002 train-auc:0.748333
[651] eval-auc:0.692928 train-auc:0.748372
[652] eval-auc:0.692937 train-auc:0.748471
[653] eval-auc:0.692626 train-auc:0.748506
[654] eval-auc:0.692594 train-auc:0.748498
[655] eval-auc:0.692879 train-auc:0.748443
[656] eval-auc:0.692853 train-auc:0.748324
[657] eval-auc:0.692967 train-auc:0.748403
[658] eval-auc:0.693184 train-auc:0.748507
[659] eval-auc:0.693337 train-auc:0.748599
[660] eval-auc:0.692954 train-auc:0.748551
[661] eval-auc:0.692681 train-auc:0.748549
[662] eval-auc:0.692789 train-auc:0.748719
[663] eval-auc:0.692678 train-auc:0.748751
[664] eval-auc:0.692862 train-auc:0.748834
[665] eval-auc:0.693047 train-auc:0.748376
[666] eval-auc:0.692868 train-auc:0.748397
[667] eval-auc:0.692852 train-auc:0.748459
[668] eval-auc:0.692785 train-auc:0.748484
[669] eval-auc:0.692541 train-auc:0.748488
[670] eval-auc:0.69224 train-auc:0.748432
[671] eval-auc:0.692156 train-auc:0.748407
[672] eval-auc:0.692174 train-auc:0.748601
[673] eval-auc:0.692291 train-auc:0.748684
[674] eval-auc:0.6924 train-auc:0.749017
[675] eval-auc:0.69218 train-auc:0.749066
[676] eval-auc:0.692333 train-auc:0.749083
[677] eval-auc:0.692312 train-auc:0.74899
[678] eval-auc:0.691834 train-auc:0.749069
[679] eval-auc:0.691969 train-auc:0.749109
[680] eval-auc:0.691809 train-auc:0.749236
[681] eval-auc:0.691837 train-auc:0.749345
[682] eval-auc:0.691609 train-auc:0.749424
[683] eval-auc:0.691548 train-auc:0.749521
[684] eval-auc:0.691326 train-auc:0.749645
[685] eval-auc:0.691588 train-auc:0.749682
[686] eval-auc:0.691239 train-auc:0.749601
[687] eval-auc:0.691053 train-auc:0.749583
[688] eval-auc:0.691132 train-auc:0.749641
[689] eval-auc:0.690744 train-auc:0.749626
[690] eval-auc:0.690889 train-auc:0.749705
[691] eval-auc:0.690673 train-auc:0.74976
[692] eval-auc:0.690723 train-auc:0.749523
[693] eval-auc:0.690603 train-auc:0.749526
[694] eval-auc:0.690251 train-auc:0.749472
[695] eval-auc:0.690257 train-auc:0.749496
[696] eval-auc:0.690415 train-auc:0.749618
[697] eval-auc:0.690592 train-auc:0.749488
[698] eval-auc:0.690507 train-auc:0.749913
[699] eval-auc:0.690073 train-auc:0.749841
[700] eval-auc:0.690191 train-auc:0.749854
[701] eval-auc:0.690149 train-auc:0.750017
[702] eval-auc:0.690627 train-auc:0.750189
[703] eval-auc:0.690723 train-auc:0.750269
[704] eval-auc:0.690976 train-auc:0.750248
[705] eval-auc:0.691273 train-auc:0.750072
[706] eval-auc:0.6913 train-auc:0.749821
[707] eval-auc:0.691244 train-auc:0.74956
[708] eval-auc:0.690936 train-auc:0.749613
[709] eval-auc:0.69088 train-auc:0.749778
[710] eval-auc:0.691011 train-auc:0.74983
[711] eval-auc:0.690985 train-auc:0.749872
[712] eval-auc:0.690966 train-auc:0.749936
[713] eval-auc:0.691148 train-auc:0.749945
[714] eval-auc:0.691088 train-auc:0.74996
[715] eval-auc:0.691107 train-auc:0.749958
Score 0.691106603808062
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8, 'eta': 0.1, 'eval_metric': 'auc', 'gamma': 0.9, 'max_depth': 11, 'min_child_weight': 1.0, 'n_estimators': 398.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.7000000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.614969 train-auc:0.803368
[1] eval-auc:0.624624 train-auc:0.863541
[2] eval-auc:0.619875 train-auc:0.905538
[3] eval-auc:0.629003 train-auc:0.924079
[4] eval-auc:0.651081 train-auc:0.944018
[5] eval-auc:0.652831 train-auc:0.959015
[6] eval-auc:0.655954 train-auc:0.970115
[7] eval-auc:0.647543 train-auc:0.975715
[8] eval-auc:0.653284 train-auc:0.980626
[9] eval-auc:0.660438 train-auc:0.982443
[10] eval-auc:0.671737 train-auc:0.987268
[11] eval-auc:0.670085 train-auc:0.989237
[12] eval-auc:0.672318 train-auc:0.99084
[13] eval-auc:0.675637 train-auc:0.991252
[14] eval-auc:0.674538 train-auc:0.992312
[15] eval-auc:0.67339 train-auc:0.993719
[16] eval-auc:0.669484 train-auc:0.994273
[17] eval-auc:0.673997 train-auc:0.995129
[18] eval-auc:0.671316 train-auc:0.995387
[19] eval-auc:0.672072 train-auc:0.996105
[20] eval-auc:0.673364 train-auc:0.99682
[21] eval-auc:0.676005 train-auc:0.997241
[22] eval-auc:0.675996 train-auc:0.997753
[23] eval-auc:0.679645 train-auc:0.998154
[24] eval-auc:0.679971 train-auc:0.998516
[25] eval-auc:0.678154 train-auc:0.998562
[26] eval-auc:0.677964 train-auc:0.998743
[27] eval-auc:0.681478 train-auc:0.998929
[28] eval-auc:0.680065 train-auc:0.999125
[29] eval-auc:0.67961 train-auc:0.999168
[30] eval-auc:0.679171 train-auc:0.999219
[31] eval-auc:0.678955 train-auc:0.999302
[32] eval-auc:0.681574 train-auc:0.999444
[33] eval-auc:0.682168 train-auc:0.999471
[34] eval-auc:0.682716 train-auc:0.999541
[35] eval-auc:0.684043 train-auc:0.999637
[36] eval-auc:0.685046 train-auc:0.99961
[37] eval-auc:0.685166 train-auc:0.999628
[38] eval-auc:0.685569 train-auc:0.999677
[39] eval-auc:0.684723 train-auc:0.999757
[40] eval-auc:0.684726 train-auc:0.999786
[41] eval-auc:0.685358 train-auc:0.999819
[42] eval-auc:0.684981 train-auc:0.999849
[43] eval-auc:0.686691 train-auc:0.999867
[44] eval-auc:0.687015 train-auc:0.999882
[45] eval-auc:0.687956 train-auc:0.999897
[46] eval-auc:0.687039 train-auc:0.999909
[47] eval-auc:0.686628 train-auc:0.999922
[48] eval-auc:0.686304 train-auc:0.999931
[49] eval-auc:0.686056 train-auc:0.999939
[50] eval-auc:0.687405 train-auc:0.999951
[51] eval-auc:0.688809 train-auc:0.999956
[52] eval-auc:0.688454 train-auc:0.999957
[53] eval-auc:0.688483 train-auc:0.999969
[54] eval-auc:0.688521 train-auc:0.999978
[55] eval-auc:0.687859 train-auc:0.999976
[56] eval-auc:0.686844 train-auc:0.999982
[57] eval-auc:0.685731 train-auc:0.999986
[58] eval-auc:0.684373 train-auc:0.999986
[59] eval-auc:0.684132 train-auc:0.999989
[60] eval-auc:0.684914 train-auc:0.999988
[61] eval-auc:0.686295 train-auc:0.999991
[62] eval-auc:0.685701 train-auc:0.999994
[63] eval-auc:0.687937 train-auc:0.999992
[64] eval-auc:0.687612 train-auc:0.999993
[65] eval-auc:0.688787 train-auc:0.999994
[66] eval-auc:0.688824 train-auc:0.999994
[67] eval-auc:0.688446 train-auc:0.999994
[68] eval-auc:0.687585 train-auc:0.999996
[69] eval-auc:0.687647 train-auc:0.999997
[70] eval-auc:0.687633 train-auc:0.999998
[71] eval-auc:0.68693 train-auc:0.999998
[72] eval-auc:0.68652 train-auc:0.999998
[73] eval-auc:0.68668 train-auc:0.999999
[74] eval-auc:0.686651 train-auc:1
[75] eval-auc:0.685731 train-auc:1
[76] eval-auc:0.684987 train-auc:1
[77] eval-auc:0.685102 train-auc:0.999999
[78] eval-auc:0.685588 train-auc:0.999999
[79] eval-auc:0.685792 train-auc:1
[80] eval-auc:0.686433 train-auc:1
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[84] eval-auc:0.687607 train-auc:1
[85] eval-auc:0.687467 train-auc:1
[86] eval-auc:0.688926 train-auc:1
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[88] eval-auc:0.690944 train-auc:1
[89] eval-auc:0.691729 train-auc:1
[90] eval-auc:0.691265 train-auc:1
[91] eval-auc:0.691571 train-auc:1
[92] eval-auc:0.691343 train-auc:1
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[94] eval-auc:0.690883 train-auc:1
[95] eval-auc:0.691637 train-auc:1
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[110] eval-auc:0.693334 train-auc:1
[111] eval-auc:0.693117 train-auc:1
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[119] eval-auc:0.693863 train-auc:1
[120] eval-auc:0.694851 train-auc:1
[121] eval-auc:0.694609 train-auc:1
[122] eval-auc:0.694409 train-auc:1
[123] eval-auc:0.693784 train-auc:1
[124] eval-auc:0.694038 train-auc:1
[125] eval-auc:0.694073 train-auc:1
[126] eval-auc:0.693712 train-auc:1
[127] eval-auc:0.694 train-auc:1
[128] eval-auc:0.694671 train-auc:1
[129] eval-auc:0.695664 train-auc:1
[130] eval-auc:0.69588 train-auc:1
[131] eval-auc:0.695861 train-auc:1
[132] eval-auc:0.695643 train-auc:1
[133] eval-auc:0.695985 train-auc:1
[134] eval-auc:0.695477 train-auc:1
[135] eval-auc:0.695277 train-auc:1
[136] eval-auc:0.69541 train-auc:1
[137] eval-auc:0.69552 train-auc:1
[138] eval-auc:0.696217 train-auc:1
[139] eval-auc:0.696805 train-auc:1
[140] eval-auc:0.695337 train-auc:1
[141] eval-auc:0.694778 train-auc:1
[142] eval-auc:0.694723 train-auc:1
[143] eval-auc:0.694877 train-auc:1
[144] eval-auc:0.69472 train-auc:1
[145] eval-auc:0.694405 train-auc:1
[146] eval-auc:0.695583 train-auc:1
[147] eval-auc:0.695433 train-auc:1
[148] eval-auc:0.69544 train-auc:1
[149] eval-auc:0.695337 train-auc:1
[150] eval-auc:0.695116 train-auc:1
[151] eval-auc:0.694715 train-auc:1
[152] eval-auc:0.695163 train-auc:1
[153] eval-auc:0.695026 train-auc:1
[154] eval-auc:0.694891 train-auc:1
[155] eval-auc:0.694519 train-auc:1
[156] eval-auc:0.694411 train-auc:1
[157] eval-auc:0.69462 train-auc:1
[158] eval-auc:0.694609 train-auc:1
[159] eval-auc:0.695602 train-auc:1
[160] eval-auc:0.695644 train-auc:1
[161] eval-auc:0.696011 train-auc:1
[162] eval-auc:0.696153 train-auc:1
[163] eval-auc:0.695573 train-auc:1
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[165] eval-auc:0.695352 train-auc:1
[166] eval-auc:0.695028 train-auc:1
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[170] eval-auc:0.694699 train-auc:1
[171] eval-auc:0.694853 train-auc:1
[172] eval-auc:0.694789 train-auc:1
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[175] eval-auc:0.694318 train-auc:1
[176] eval-auc:0.694431 train-auc:1
[177] eval-auc:0.694161 train-auc:1
[178] eval-auc:0.694278 train-auc:1
[179] eval-auc:0.694256 train-auc:1
[180] eval-auc:0.693989 train-auc:1
[181] eval-auc:0.693823 train-auc:1
[182] eval-auc:0.693697 train-auc:1
[183] eval-auc:0.693756 train-auc:1
[184] eval-auc:0.693622 train-auc:1
[185] eval-auc:0.693525 train-auc:1
[186] eval-auc:0.693397 train-auc:1
[187] eval-auc:0.693136 train-auc:1
[188] eval-auc:0.692995 train-auc:1
[189] eval-auc:0.693164 train-auc:1
[190] eval-auc:0.693345 train-auc:1
[191] eval-auc:0.693517 train-auc:1
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[198] eval-auc:0.694694 train-auc:1
[199] eval-auc:0.694811 train-auc:1
[200] eval-auc:0.694057 train-auc:1
[201] eval-auc:0.694096 train-auc:1
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[205] eval-auc:0.694029 train-auc:1
[206] eval-auc:0.693953 train-auc:1
[207] eval-auc:0.694254 train-auc:1
[208] eval-auc:0.693752 train-auc:1
[209] eval-auc:0.693252 train-auc:1
[210] eval-auc:0.692919 train-auc:1
[211] eval-auc:0.692555 train-auc:1
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[215] eval-auc:0.693182 train-auc:1
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[219] eval-auc:0.693439 train-auc:1
[220] eval-auc:0.693202 train-auc:1
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[260] eval-auc:0.692745 train-auc:1
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[265] eval-auc:0.693392 train-auc:1
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[270] eval-auc:0.693551 train-auc:1
[271] eval-auc:0.693793 train-auc:1
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[279] eval-auc:0.693689 train-auc:1
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[286] eval-auc:0.694015 train-auc:1
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[290] eval-auc:0.694365 train-auc:1
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[294] eval-auc:0.693831 train-auc:1
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[300] eval-auc:0.694345 train-auc:1
[301] eval-auc:0.694595 train-auc:1
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[304] eval-auc:0.695038 train-auc:1
[305] eval-auc:0.694749 train-auc:1
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[348] eval-auc:0.693694 train-auc:1
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[350] eval-auc:0.693712 train-auc:1
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[356] eval-auc:0.693496 train-auc:1
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[360] eval-auc:0.693328 train-auc:1
[361] eval-auc:0.693328 train-auc:1
[362] eval-auc:0.693144 train-auc:1
[363] eval-auc:0.693283 train-auc:1
[364] eval-auc:0.692943 train-auc:1
[365] eval-auc:0.693024 train-auc:1
[366] eval-auc:0.693002 train-auc:1
[367] eval-auc:0.692902 train-auc:1
[368] eval-auc:0.692821 train-auc:1
[369] eval-auc:0.692884 train-auc:1
[370] eval-auc:0.692884 train-auc:1
[371] eval-auc:0.693165 train-auc:1
[372] eval-auc:0.692891 train-auc:1
[373] eval-auc:0.692893 train-auc:1
[374] eval-auc:0.692893 train-auc:1
[375] eval-auc:0.692893 train-auc:1
[376] eval-auc:0.693008 train-auc:1
[377] eval-auc:0.692984 train-auc:1
[378] eval-auc:0.692984 train-auc:1
[379] eval-auc:0.692882 train-auc:1
[380] eval-auc:0.692978 train-auc:1
[381] eval-auc:0.692885 train-auc:1
[382] eval-auc:0.692984 train-auc:1
[383] eval-auc:0.692871 train-auc:1
[384] eval-auc:0.692977 train-auc:1
[385] eval-auc:0.693496 train-auc:1
[386] eval-auc:0.693496 train-auc:1
[387] eval-auc:0.693499 train-auc:1
[388] eval-auc:0.693499 train-auc:1
[389] eval-auc:0.693733 train-auc:1
[390] eval-auc:0.69366 train-auc:1
[391] eval-auc:0.69366 train-auc:1
[392] eval-auc:0.693654 train-auc:1
[393] eval-auc:0.693654 train-auc:1
[394] eval-auc:0.693768 train-auc:1
[395] eval-auc:0.693691 train-auc:1
[396] eval-auc:0.694131 train-auc:1
[397] eval-auc:0.693796 train-auc:1
Score 0.6937957582623738
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.7000000000000001, 'eta': 0.17500000000000002, 'eval_metric': 'auc', 'gamma': 0.75, 'max_depth': 5, 'min_child_weight': 4.0, 'n_estimators': 311.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.55, 'tree_method': 'exact'}
[0] eval-auc:0.627824 train-auc:0.704572
[1] eval-auc:0.641243 train-auc:0.721084
[2] eval-auc:0.639535 train-auc:0.741191
[3] eval-auc:0.655133 train-auc:0.752534
[4] eval-auc:0.682345 train-auc:0.774701
[5] eval-auc:0.682842 train-auc:0.780227
[6] eval-auc:0.689162 train-auc:0.78389
[7] eval-auc:0.688094 train-auc:0.78715
[8] eval-auc:0.694916 train-auc:0.795106
[9] eval-auc:0.697963 train-auc:0.801434
[10] eval-auc:0.695344 train-auc:0.810728
[11] eval-auc:0.694382 train-auc:0.814823
[12] eval-auc:0.693767 train-auc:0.819646
[13] eval-auc:0.696742 train-auc:0.821759
[14] eval-auc:0.696939 train-auc:0.824635
[15] eval-auc:0.695058 train-auc:0.829137
[16] eval-auc:0.693528 train-auc:0.833002
[17] eval-auc:0.699548 train-auc:0.841125
[18] eval-auc:0.701303 train-auc:0.845242
[19] eval-auc:0.705921 train-auc:0.848808
[20] eval-auc:0.705403 train-auc:0.850859
[21] eval-auc:0.705461 train-auc:0.852382
[22] eval-auc:0.705701 train-auc:0.858302
[23] eval-auc:0.706034 train-auc:0.864581
[24] eval-auc:0.709902 train-auc:0.87069
[25] eval-auc:0.710669 train-auc:0.874798
[26] eval-auc:0.708024 train-auc:0.874794
[27] eval-auc:0.70902 train-auc:0.877382
[28] eval-auc:0.709459 train-auc:0.88124
[29] eval-auc:0.708667 train-auc:0.88324
[30] eval-auc:0.708604 train-auc:0.887552
[31] eval-auc:0.71101 train-auc:0.889461
[32] eval-auc:0.707913 train-auc:0.89426
[33] eval-auc:0.707222 train-auc:0.896615
[34] eval-auc:0.706704 train-auc:0.897868
[35] eval-auc:0.705248 train-auc:0.897845
[36] eval-auc:0.703835 train-auc:0.900077
[37] eval-auc:0.705588 train-auc:0.901775
[38] eval-auc:0.704777 train-auc:0.905939
[39] eval-auc:0.704013 train-auc:0.909912
[40] eval-auc:0.703884 train-auc:0.911936
[41] eval-auc:0.70489 train-auc:0.91529
[42] eval-auc:0.705081 train-auc:0.916919
[43] eval-auc:0.705206 train-auc:0.917803
[44] eval-auc:0.701766 train-auc:0.919537
[45] eval-auc:0.701773 train-auc:0.921027
[46] eval-auc:0.702649 train-auc:0.923455
[47] eval-auc:0.702903 train-auc:0.925697
[48] eval-auc:0.702638 train-auc:0.926825
[49] eval-auc:0.703148 train-auc:0.928612
[50] eval-auc:0.70329 train-auc:0.929028
[51] eval-auc:0.702264 train-auc:0.929146
[52] eval-auc:0.702564 train-auc:0.930495
[53] eval-auc:0.703241 train-auc:0.931637
[54] eval-auc:0.701874 train-auc:0.934076
[55] eval-auc:0.702393 train-auc:0.9359
[56] eval-auc:0.703269 train-auc:0.937486
[57] eval-auc:0.704392 train-auc:0.939215
[58] eval-auc:0.706159 train-auc:0.940196
[59] eval-auc:0.704688 train-auc:0.941722
[60] eval-auc:0.703438 train-auc:0.944138
[61] eval-auc:0.703491 train-auc:0.945761
[62] eval-auc:0.703633 train-auc:0.946624
[63] eval-auc:0.705626 train-auc:0.947613
[64] eval-auc:0.706456 train-auc:0.948713
[65] eval-auc:0.70655 train-auc:0.948444
[66] eval-auc:0.707846 train-auc:0.949046
[67] eval-auc:0.707546 train-auc:0.950973
[68] eval-auc:0.706733 train-auc:0.951854
[69] eval-auc:0.704947 train-auc:0.953024
[70] eval-auc:0.705891 train-auc:0.953879
[71] eval-auc:0.705879 train-auc:0.954639
[72] eval-auc:0.704612 train-auc:0.95541
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[77] eval-auc:0.704962 train-auc:0.959951
[78] eval-auc:0.705515 train-auc:0.960146
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[83] eval-auc:0.701808 train-auc:0.963255
[84] eval-auc:0.701403 train-auc:0.963611
[85] eval-auc:0.699535 train-auc:0.963814
[86] eval-auc:0.699466 train-auc:0.963779
[87] eval-auc:0.701449 train-auc:0.964561
[88] eval-auc:0.700784 train-auc:0.965375
[89] eval-auc:0.701632 train-auc:0.966132
[90] eval-auc:0.70128 train-auc:0.966837
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[104] eval-auc:0.698102 train-auc:0.973462
[105] eval-auc:0.697682 train-auc:0.973741
[106] eval-auc:0.698551 train-auc:0.974355
[107] eval-auc:0.697062 train-auc:0.975248
[108] eval-auc:0.696324 train-auc:0.975977
[109] eval-auc:0.694202 train-auc:0.976336
[110] eval-auc:0.693828 train-auc:0.976459
[111] eval-auc:0.69345 train-auc:0.976824
[112] eval-auc:0.692935 train-auc:0.977649
[113] eval-auc:0.692631 train-auc:0.977858
[114] eval-auc:0.692631 train-auc:0.978402
[115] eval-auc:0.690159 train-auc:0.979024
[116] eval-auc:0.689596 train-auc:0.97935
[117] eval-auc:0.690828 train-auc:0.979516
[118] eval-auc:0.690826 train-auc:0.980012
[119] eval-auc:0.691795 train-auc:0.980165
[120] eval-auc:0.691638 train-auc:0.980377
[121] eval-auc:0.692106 train-auc:0.98065
[122] eval-auc:0.692958 train-auc:0.980921
[123] eval-auc:0.692725 train-auc:0.981343
[124] eval-auc:0.692034 train-auc:0.981718
[125] eval-auc:0.693602 train-auc:0.982257
[126] eval-auc:0.693913 train-auc:0.982609
[127] eval-auc:0.693223 train-auc:0.982486
[128] eval-auc:0.694068 train-auc:0.982953
[129] eval-auc:0.695794 train-auc:0.983639
[130] eval-auc:0.695487 train-auc:0.984038
[131] eval-auc:0.696203 train-auc:0.98395
[132] eval-auc:0.695704 train-auc:0.984437
[133] eval-auc:0.695448 train-auc:0.984632
[134] eval-auc:0.696339 train-auc:0.984666
[135] eval-auc:0.696062 train-auc:0.984778
[136] eval-auc:0.6965 train-auc:0.985257
[137] eval-auc:0.696505 train-auc:0.985688
[138] eval-auc:0.696619 train-auc:0.986008
[139] eval-auc:0.696895 train-auc:0.986121
[140] eval-auc:0.697134 train-auc:0.986177
[141] eval-auc:0.695844 train-auc:0.98663
[142] eval-auc:0.695871 train-auc:0.986692
[143] eval-auc:0.696575 train-auc:0.987245
[144] eval-auc:0.696835 train-auc:0.987719
[145] eval-auc:0.697092 train-auc:0.98773
[146] eval-auc:0.69723 train-auc:0.987885
[147] eval-auc:0.696928 train-auc:0.988031
[148] eval-auc:0.69648 train-auc:0.98821
[149] eval-auc:0.696436 train-auc:0.988388
[150] eval-auc:0.696282 train-auc:0.988469
[151] eval-auc:0.697731 train-auc:0.988607
[152] eval-auc:0.698088 train-auc:0.988779
[153] eval-auc:0.698717 train-auc:0.989054
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[155] eval-auc:0.699561 train-auc:0.989464
[156] eval-auc:0.699017 train-auc:0.989602
[157] eval-auc:0.699276 train-auc:0.989824
[158] eval-auc:0.69975 train-auc:0.989958
[159] eval-auc:0.697779 train-auc:0.990147
[160] eval-auc:0.69701 train-auc:0.990361
[161] eval-auc:0.697791 train-auc:0.99065
[162] eval-auc:0.698343 train-auc:0.990643
[163] eval-auc:0.698125 train-auc:0.990753
[164] eval-auc:0.697169 train-auc:0.990687
[165] eval-auc:0.698233 train-auc:0.990535
[166] eval-auc:0.697877 train-auc:0.990522
[167] eval-auc:0.698302 train-auc:0.990588
[168] eval-auc:0.697607 train-auc:0.990563
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[170] eval-auc:0.697124 train-auc:0.991075
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[177] eval-auc:0.696042 train-auc:0.991628
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[181] eval-auc:0.69558 train-auc:0.992115
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[183] eval-auc:0.695682 train-auc:0.99232
[184] eval-auc:0.695456 train-auc:0.992301
[185] eval-auc:0.694827 train-auc:0.99233
[186] eval-auc:0.694935 train-auc:0.99244
[187] eval-auc:0.694781 train-auc:0.992679
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[189] eval-auc:0.695296 train-auc:0.992605
[190] eval-auc:0.695622 train-auc:0.992624
[191] eval-auc:0.695692 train-auc:0.992833
[192] eval-auc:0.69461 train-auc:0.992911
[193] eval-auc:0.694463 train-auc:0.992951
[194] eval-auc:0.693851 train-auc:0.993047
[195] eval-auc:0.693331 train-auc:0.993086
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[229] eval-auc:0.68841 train-auc:0.996231
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[235] eval-auc:0.687851 train-auc:0.996509
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[240] eval-auc:0.687233 train-auc:0.996629
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[252] eval-auc:0.688034 train-auc:0.997314
[253] eval-auc:0.688724 train-auc:0.997246
[254] eval-auc:0.689226 train-auc:0.997301
[255] eval-auc:0.689062 train-auc:0.997388
[256] eval-auc:0.689008 train-auc:0.997377
[257] eval-auc:0.68896 train-auc:0.997497
[258] eval-auc:0.688143 train-auc:0.997519
[259] eval-auc:0.687571 train-auc:0.997563
[260] eval-auc:0.687385 train-auc:0.997552
[261] eval-auc:0.6879 train-auc:0.997611
[262] eval-auc:0.688104 train-auc:0.997611
[263] eval-auc:0.687932 train-auc:0.997633
[264] eval-auc:0.687839 train-auc:0.997662
[265] eval-auc:0.687687 train-auc:0.99773
[266] eval-auc:0.686844 train-auc:0.997775
[267] eval-auc:0.686805 train-auc:0.99787
[268] eval-auc:0.686459 train-auc:0.997888
[269] eval-auc:0.686261 train-auc:0.997896
[270] eval-auc:0.685453 train-auc:0.998031
[271] eval-auc:0.684432 train-auc:0.998074
[272] eval-auc:0.683397 train-auc:0.998101
[273] eval-auc:0.683753 train-auc:0.998131
[274] eval-auc:0.68363 train-auc:0.99817
[275] eval-auc:0.684215 train-auc:0.998134
[276] eval-auc:0.687163 train-auc:0.99816
[277] eval-auc:0.686694 train-auc:0.998174
[278] eval-auc:0.687236 train-auc:0.998203
[279] eval-auc:0.687081 train-auc:0.998226
[280] eval-auc:0.686688 train-auc:0.998214
[281] eval-auc:0.686098 train-auc:0.998301
[282] eval-auc:0.686857 train-auc:0.998343
[283] eval-auc:0.686704 train-auc:0.998481
[284] eval-auc:0.685591 train-auc:0.998555
[285] eval-auc:0.685451 train-auc:0.998553
[286] eval-auc:0.685677 train-auc:0.998575
[287] eval-auc:0.685241 train-auc:0.998626
[288] eval-auc:0.684457 train-auc:0.998669
[289] eval-auc:0.684005 train-auc:0.998689
[290] eval-auc:0.68493 train-auc:0.998707
[291] eval-auc:0.684521 train-auc:0.998734
[292] eval-auc:0.684611 train-auc:0.998729
[293] eval-auc:0.68478 train-auc:0.998752
[294] eval-auc:0.684897 train-auc:0.998756
[295] eval-auc:0.684241 train-auc:0.998786
[296] eval-auc:0.683998 train-auc:0.998831
[297] eval-auc:0.684055 train-auc:0.998834
[298] eval-auc:0.683549 train-auc:0.998919
[299] eval-auc:0.68349 train-auc:0.99894
[300] eval-auc:0.683884 train-auc:0.998981
[301] eval-auc:0.683504 train-auc:0.999014
[302] eval-auc:0.682823 train-auc:0.998998
[303] eval-auc:0.682993 train-auc:0.999025
[304] eval-auc:0.682963 train-auc:0.999044
[305] eval-auc:0.682911 train-auc:0.999046
[306] eval-auc:0.682305 train-auc:0.999081
[307] eval-auc:0.682948 train-auc:0.999097
[308] eval-auc:0.682626 train-auc:0.999106
[309] eval-auc:0.682646 train-auc:0.999111
[310] eval-auc:0.682051 train-auc:0.999115
Score 0.6820508837968546
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9500000000000001, 'eta': 0.05, 'eval_metric': 'auc', 'gamma': 0.9500000000000001, 'max_depth': 2, 'min_child_weight': 3.0, 'n_estimators': 104.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.670464 train-auc:0.689717
[1] eval-auc:0.669684 train-auc:0.690297
[2] eval-auc:0.666128 train-auc:0.694804
[3] eval-auc:0.697974 train-auc:0.716164
[4] eval-auc:0.697974 train-auc:0.716164
[5] eval-auc:0.695448 train-auc:0.714102
[6] eval-auc:0.695524 train-auc:0.714421
[7] eval-auc:0.69497 train-auc:0.713814
[8] eval-auc:0.694833 train-auc:0.713644
[9] eval-auc:0.695672 train-auc:0.714426
[10] eval-auc:0.697531 train-auc:0.714833
[11] eval-auc:0.697367 train-auc:0.714747
[12] eval-auc:0.696686 train-auc:0.715323
[13] eval-auc:0.697416 train-auc:0.715596
[14] eval-auc:0.697346 train-auc:0.715187
[15] eval-auc:0.697842 train-auc:0.716506
[16] eval-auc:0.697909 train-auc:0.716911
[17] eval-auc:0.697809 train-auc:0.717769
[18] eval-auc:0.698033 train-auc:0.718022
[19] eval-auc:0.697213 train-auc:0.718013
[20] eval-auc:0.697947 train-auc:0.718973
[21] eval-auc:0.697688 train-auc:0.719205
[22] eval-auc:0.697953 train-auc:0.720728
[23] eval-auc:0.698171 train-auc:0.721089
[24] eval-auc:0.698462 train-auc:0.722346
[25] eval-auc:0.699085 train-auc:0.722666
[26] eval-auc:0.69928 train-auc:0.723144
[27] eval-auc:0.700072 train-auc:0.72402
[28] eval-auc:0.699526 train-auc:0.723571
[29] eval-auc:0.699833 train-auc:0.724075
[30] eval-auc:0.699913 train-auc:0.724842
[31] eval-auc:0.702315 train-auc:0.72737
[32] eval-auc:0.702098 train-auc:0.725237
[33] eval-auc:0.703043 train-auc:0.7256
[34] eval-auc:0.700643 train-auc:0.72663
[35] eval-auc:0.698993 train-auc:0.725089
[36] eval-auc:0.698312 train-auc:0.723761
[37] eval-auc:0.698609 train-auc:0.72411
[38] eval-auc:0.699259 train-auc:0.72564
[39] eval-auc:0.698322 train-auc:0.725213
[40] eval-auc:0.697685 train-auc:0.723811
[41] eval-auc:0.698518 train-auc:0.725525
[42] eval-auc:0.698185 train-auc:0.727232
[43] eval-auc:0.699919 train-auc:0.727643
[44] eval-auc:0.699332 train-auc:0.726357
[45] eval-auc:0.700296 train-auc:0.726484
[46] eval-auc:0.700017 train-auc:0.726938
[47] eval-auc:0.69937 train-auc:0.727935
[48] eval-auc:0.699844 train-auc:0.728068
[49] eval-auc:0.699813 train-auc:0.727151
[50] eval-auc:0.699887 train-auc:0.727201
[51] eval-auc:0.699934 train-auc:0.725821
[52] eval-auc:0.700785 train-auc:0.726462
[53] eval-auc:0.700354 train-auc:0.725243
[54] eval-auc:0.700864 train-auc:0.725748
[55] eval-auc:0.701582 train-auc:0.725822
[56] eval-auc:0.70213 train-auc:0.726309
[57] eval-auc:0.701909 train-auc:0.726672
[58] eval-auc:0.701298 train-auc:0.727367
[59] eval-auc:0.701699 train-auc:0.728417
[60] eval-auc:0.701938 train-auc:0.728905
[61] eval-auc:0.702506 train-auc:0.729789
[62] eval-auc:0.702554 train-auc:0.730098
[63] eval-auc:0.703445 train-auc:0.731128
[64] eval-auc:0.703513 train-auc:0.731068
[65] eval-auc:0.704035 train-auc:0.731167
[66] eval-auc:0.703923 train-auc:0.731641
[67] eval-auc:0.704394 train-auc:0.731993
[68] eval-auc:0.704491 train-auc:0.732332
[69] eval-auc:0.705121 train-auc:0.732527
[70] eval-auc:0.705311 train-auc:0.732361
[71] eval-auc:0.705506 train-auc:0.732333
[72] eval-auc:0.704603 train-auc:0.732691
[73] eval-auc:0.704662 train-auc:0.732432
[74] eval-auc:0.704459 train-auc:0.732874
[75] eval-auc:0.704046 train-auc:0.732935
[76] eval-auc:0.703569 train-auc:0.733283
[77] eval-auc:0.703883 train-auc:0.733647
[78] eval-auc:0.703795 train-auc:0.733894
[79] eval-auc:0.703799 train-auc:0.73443
[80] eval-auc:0.703534 train-auc:0.734187
[81] eval-auc:0.703505 train-auc:0.733861
[82] eval-auc:0.703674 train-auc:0.734005
[83] eval-auc:0.7039 train-auc:0.734106
[84] eval-auc:0.704905 train-auc:0.734863
[85] eval-auc:0.705214 train-auc:0.735073
[86] eval-auc:0.705452 train-auc:0.735505
[87] eval-auc:0.705506 train-auc:0.735917
[88] eval-auc:0.706266 train-auc:0.736477
[89] eval-auc:0.706476 train-auc:0.736747
[90] eval-auc:0.706778 train-auc:0.736944
[91] eval-auc:0.706696 train-auc:0.736873
[92] eval-auc:0.707063 train-auc:0.737196
[93] eval-auc:0.707212 train-auc:0.737399
[94] eval-auc:0.7082 train-auc:0.73792
[95] eval-auc:0.70848 train-auc:0.738175
[96] eval-auc:0.708596 train-auc:0.73851
[97] eval-auc:0.708839 train-auc:0.738949
[98] eval-auc:0.708578 train-auc:0.739328
[99] eval-auc:0.708629 train-auc:0.739437
[100] eval-auc:0.708975 train-auc:0.739536
[101] eval-auc:0.709251 train-auc:0.739685
[102] eval-auc:0.709353 train-auc:0.739923
[103] eval-auc:0.709599 train-auc:0.739997
Score 0.7095994895783844
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9500000000000001, 'eta': 0.05, 'eval_metric': 'auc', 'gamma': 0.9500000000000001, 'max_depth': 8, 'min_child_weight': 2.0, 'n_estimators': 101.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.6964 train-auc:0.825501
[1] eval-auc:0.663645 train-auc:0.880949
[2] eval-auc:0.674532 train-auc:0.901899
[3] eval-auc:0.661014 train-auc:0.898691
[4] eval-auc:0.671188 train-auc:0.908007
[5] eval-auc:0.677671 train-auc:0.919225
[6] eval-auc:0.68206 train-auc:0.921903
[7] eval-auc:0.682859 train-auc:0.924532
[8] eval-auc:0.682568 train-auc:0.92956
[9] eval-auc:0.687524 train-auc:0.933254
[10] eval-auc:0.689199 train-auc:0.935257
[11] eval-auc:0.689665 train-auc:0.938041
[12] eval-auc:0.689422 train-auc:0.940338
[13] eval-auc:0.690055 train-auc:0.945053
[14] eval-auc:0.689929 train-auc:0.94563
[15] eval-auc:0.689121 train-auc:0.955189
[16] eval-auc:0.688961 train-auc:0.95856
[17] eval-auc:0.687938 train-auc:0.9648
[18] eval-auc:0.688985 train-auc:0.965401
[19] eval-auc:0.687488 train-auc:0.968108
[20] eval-auc:0.689001 train-auc:0.970069
[21] eval-auc:0.690711 train-auc:0.972633
[22] eval-auc:0.692169 train-auc:0.972947
[23] eval-auc:0.691974 train-auc:0.974083
[24] eval-auc:0.691881 train-auc:0.974421
[25] eval-auc:0.692329 train-auc:0.976081
[26] eval-auc:0.693288 train-auc:0.978561
[27] eval-auc:0.692604 train-auc:0.979389
[28] eval-auc:0.692016 train-auc:0.980941
[29] eval-auc:0.691977 train-auc:0.98175
[30] eval-auc:0.692266 train-auc:0.983469
[31] eval-auc:0.693384 train-auc:0.984361
[32] eval-auc:0.69382 train-auc:0.985122
[33] eval-auc:0.693187 train-auc:0.985637
[34] eval-auc:0.693943 train-auc:0.985871
[35] eval-auc:0.693823 train-auc:0.986565
[36] eval-auc:0.69395 train-auc:0.986713
[37] eval-auc:0.693886 train-auc:0.986825
[38] eval-auc:0.694811 train-auc:0.987356
[39] eval-auc:0.695724 train-auc:0.987879
[40] eval-auc:0.694416 train-auc:0.988191
[41] eval-auc:0.694475 train-auc:0.988225
[42] eval-auc:0.69469 train-auc:0.989464
[43] eval-auc:0.694 train-auc:0.989881
[44] eval-auc:0.694283 train-auc:0.990049
[45] eval-auc:0.694007 train-auc:0.990832
[46] eval-auc:0.693452 train-auc:0.991468
[47] eval-auc:0.692754 train-auc:0.991703
[48] eval-auc:0.692305 train-auc:0.991987
[49] eval-auc:0.692686 train-auc:0.991968
[50] eval-auc:0.692858 train-auc:0.992168
[51] eval-auc:0.69334 train-auc:0.992275
[52] eval-auc:0.693366 train-auc:0.992802
[53] eval-auc:0.693651 train-auc:0.993273
[54] eval-auc:0.69298 train-auc:0.993304
[55] eval-auc:0.692698 train-auc:0.993339
[56] eval-auc:0.69236 train-auc:0.993609
[57] eval-auc:0.691842 train-auc:0.993928
[58] eval-auc:0.692597 train-auc:0.994122
[59] eval-auc:0.692596 train-auc:0.994381
[60] eval-auc:0.692645 train-auc:0.994449
[61] eval-auc:0.693246 train-auc:0.99474
[62] eval-auc:0.693706 train-auc:0.994901
[63] eval-auc:0.693622 train-auc:0.99498
[64] eval-auc:0.693657 train-auc:0.995483
[65] eval-auc:0.693677 train-auc:0.995655
[66] eval-auc:0.693465 train-auc:0.995769
[67] eval-auc:0.694222 train-auc:0.995765
[68] eval-auc:0.694945 train-auc:0.995897
[69] eval-auc:0.694825 train-auc:0.996106
[70] eval-auc:0.695554 train-auc:0.996294
[71] eval-auc:0.695856 train-auc:0.996308
[72] eval-auc:0.69546 train-auc:0.996457
[73] eval-auc:0.695923 train-auc:0.996704
[74] eval-auc:0.696002 train-auc:0.996787
[75] eval-auc:0.695413 train-auc:0.996965
[76] eval-auc:0.695678 train-auc:0.997034
[77] eval-auc:0.695823 train-auc:0.997044
[78] eval-auc:0.695925 train-auc:0.997148
[79] eval-auc:0.695389 train-auc:0.997193
[80] eval-auc:0.695217 train-auc:0.997456
[81] eval-auc:0.695142 train-auc:0.997453
[82] eval-auc:0.69491 train-auc:0.997558
[83] eval-auc:0.695218 train-auc:0.997716
[84] eval-auc:0.695393 train-auc:0.997708
[85] eval-auc:0.695349 train-auc:0.997712
[86] eval-auc:0.695402 train-auc:0.997929
[87] eval-auc:0.69523 train-auc:0.99798
[88] eval-auc:0.695331 train-auc:0.998076
[89] eval-auc:0.695376 train-auc:0.998082
[90] eval-auc:0.695529 train-auc:0.998149
[91] eval-auc:0.695063 train-auc:0.998312
[92] eval-auc:0.694898 train-auc:0.998407
[93] eval-auc:0.694712 train-auc:0.998474
[94] eval-auc:0.694572 train-auc:0.998544
[95] eval-auc:0.69482 train-auc:0.998553
[96] eval-auc:0.694743 train-auc:0.998576
[97] eval-auc:0.694693 train-auc:0.998579
[98] eval-auc:0.694437 train-auc:0.998653
[99] eval-auc:0.694329 train-auc:0.998675
[100] eval-auc:0.693797 train-auc:0.998788
Score 0.6937972809998904
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 1.0, 'eta': 0.4, 'eval_metric': 'auc', 'gamma': 0.8500000000000001, 'max_depth': 4, 'min_child_weight': 3.0, 'n_estimators': 236.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.713565 train-auc:0.732886
[1] eval-auc:0.694021 train-auc:0.764538
[2] eval-auc:0.694323 train-auc:0.780585
[3] eval-auc:0.692056 train-auc:0.791686
[4] eval-auc:0.699491 train-auc:0.801148
[5] eval-auc:0.702485 train-auc:0.814412
[6] eval-auc:0.70789 train-auc:0.822882
[7] eval-auc:0.709858 train-auc:0.828136
[8] eval-auc:0.711894 train-auc:0.832486
[9] eval-auc:0.709514 train-auc:0.835766
[10] eval-auc:0.710112 train-auc:0.842177
[11] eval-auc:0.714845 train-auc:0.851303
[12] eval-auc:0.712883 train-auc:0.858224
[13] eval-auc:0.712226 train-auc:0.858437
[14] eval-auc:0.712555 train-auc:0.863044
[15] eval-auc:0.711507 train-auc:0.865192
[16] eval-auc:0.707532 train-auc:0.871455
[17] eval-auc:0.706677 train-auc:0.876571
[18] eval-auc:0.702411 train-auc:0.881858
[19] eval-auc:0.699526 train-auc:0.885444
[20] eval-auc:0.700559 train-auc:0.890254
[21] eval-auc:0.699836 train-auc:0.894002
[22] eval-auc:0.703374 train-auc:0.897232
[23] eval-auc:0.705704 train-auc:0.898113
[24] eval-auc:0.706803 train-auc:0.904557
[25] eval-auc:0.707019 train-auc:0.906744
[26] eval-auc:0.708994 train-auc:0.909001
[27] eval-auc:0.705034 train-auc:0.911292
[28] eval-auc:0.702791 train-auc:0.916826
[29] eval-auc:0.703177 train-auc:0.918335
[30] eval-auc:0.696965 train-auc:0.921956
[31] eval-auc:0.698799 train-auc:0.927121
[32] eval-auc:0.698114 train-auc:0.9296
[33] eval-auc:0.700171 train-auc:0.931017
[34] eval-auc:0.700711 train-auc:0.931776
[35] eval-auc:0.695791 train-auc:0.935153
[36] eval-auc:0.693992 train-auc:0.93832
[37] eval-auc:0.694178 train-auc:0.939945
[38] eval-auc:0.694807 train-auc:0.9402
[39] eval-auc:0.691821 train-auc:0.942839
[40] eval-auc:0.691187 train-auc:0.943593
[41] eval-auc:0.690957 train-auc:0.945389
[42] eval-auc:0.690406 train-auc:0.948529
[43] eval-auc:0.687338 train-auc:0.950451
[44] eval-auc:0.688832 train-auc:0.952135
[45] eval-auc:0.690938 train-auc:0.954069
[46] eval-auc:0.694382 train-auc:0.956171
[47] eval-auc:0.695917 train-auc:0.957891
[48] eval-auc:0.696069 train-auc:0.959209
[49] eval-auc:0.696072 train-auc:0.959396
[50] eval-auc:0.69426 train-auc:0.961391
[51] eval-auc:0.693401 train-auc:0.961996
[52] eval-auc:0.693048 train-auc:0.963165
[53] eval-auc:0.693864 train-auc:0.964126
[54] eval-auc:0.6944 train-auc:0.965388
[55] eval-auc:0.694653 train-auc:0.965993
[56] eval-auc:0.696497 train-auc:0.966813
[57] eval-auc:0.696215 train-auc:0.967541
[58] eval-auc:0.697042 train-auc:0.969417
[59] eval-auc:0.696231 train-auc:0.971744
[60] eval-auc:0.697954 train-auc:0.97291
[61] eval-auc:0.697111 train-auc:0.973181
[62] eval-auc:0.697886 train-auc:0.973505
[63] eval-auc:0.696963 train-auc:0.973913
[64] eval-auc:0.698279 train-auc:0.97479
[65] eval-auc:0.698707 train-auc:0.975432
[66] eval-auc:0.697979 train-auc:0.975602
[67] eval-auc:0.698332 train-auc:0.976391
[68] eval-auc:0.697504 train-auc:0.976559
[69] eval-auc:0.697039 train-auc:0.977337
[70] eval-auc:0.697963 train-auc:0.978551
[71] eval-auc:0.697842 train-auc:0.97888
[72] eval-auc:0.697309 train-auc:0.979573
[73] eval-auc:0.695551 train-auc:0.980286
[74] eval-auc:0.694752 train-auc:0.980646
[75] eval-auc:0.694993 train-auc:0.981028
[76] eval-auc:0.694193 train-auc:0.981195
[77] eval-auc:0.694583 train-auc:0.981373
[78] eval-auc:0.693386 train-auc:0.981842
[79] eval-auc:0.693027 train-auc:0.982344
[80] eval-auc:0.692063 train-auc:0.983024
[81] eval-auc:0.693234 train-auc:0.983187
[82] eval-auc:0.692916 train-auc:0.983231
[83] eval-auc:0.693398 train-auc:0.983303
[84] eval-auc:0.693644 train-auc:0.983942
[85] eval-auc:0.69386 train-auc:0.984366
[86] eval-auc:0.695197 train-auc:0.984674
[87] eval-auc:0.694469 train-auc:0.98525
[88] eval-auc:0.694757 train-auc:0.986068
[89] eval-auc:0.693781 train-auc:0.98636
[90] eval-auc:0.693829 train-auc:0.986817
[91] eval-auc:0.694312 train-auc:0.986863
[92] eval-auc:0.694738 train-auc:0.98707
[93] eval-auc:0.695223 train-auc:0.987339
[94] eval-auc:0.694629 train-auc:0.987391
[95] eval-auc:0.695264 train-auc:0.987484
[96] eval-auc:0.695501 train-auc:0.987803
[97] eval-auc:0.69581 train-auc:0.988056
[98] eval-auc:0.695819 train-auc:0.98815
[99] eval-auc:0.695702 train-auc:0.988574
[100] eval-auc:0.695716 train-auc:0.988789
[101] eval-auc:0.695558 train-auc:0.989053
[102] eval-auc:0.695497 train-auc:0.989104
[103] eval-auc:0.69468 train-auc:0.989332
[104] eval-auc:0.694752 train-auc:0.989691
[105] eval-auc:0.694303 train-auc:0.989903
[106] eval-auc:0.693677 train-auc:0.99023
[107] eval-auc:0.693974 train-auc:0.990514
[108] eval-auc:0.692887 train-auc:0.99072
[109] eval-auc:0.693092 train-auc:0.990761
[110] eval-auc:0.692929 train-auc:0.990994
[111] eval-auc:0.692879 train-auc:0.990997
[112] eval-auc:0.692581 train-auc:0.991336
[113] eval-auc:0.691952 train-auc:0.991382
[114] eval-auc:0.692524 train-auc:0.991923
[115] eval-auc:0.693082 train-auc:0.992052
[116] eval-auc:0.69752 train-auc:0.992387
[117] eval-auc:0.698373 train-auc:0.992674
[118] eval-auc:0.699247 train-auc:0.992939
[119] eval-auc:0.698968 train-auc:0.993047
[120] eval-auc:0.699249 train-auc:0.993143
[121] eval-auc:0.698367 train-auc:0.993496
[122] eval-auc:0.698043 train-auc:0.993715
[123] eval-auc:0.698344 train-auc:0.99397
[124] eval-auc:0.700363 train-auc:0.994438
[125] eval-auc:0.69959 train-auc:0.994527
[126] eval-auc:0.69901 train-auc:0.994683
[127] eval-auc:0.699981 train-auc:0.994827
[128] eval-auc:0.699326 train-auc:0.994896
[129] eval-auc:0.699809 train-auc:0.995056
[130] eval-auc:0.699485 train-auc:0.99515
[131] eval-auc:0.698991 train-auc:0.995274
[132] eval-auc:0.697563 train-auc:0.995371
[133] eval-auc:0.697517 train-auc:0.995487
[134] eval-auc:0.697779 train-auc:0.995507
[135] eval-auc:0.698282 train-auc:0.995564
[136] eval-auc:0.698384 train-auc:0.995618
[137] eval-auc:0.698463 train-auc:0.995626
[138] eval-auc:0.699349 train-auc:0.995731
[139] eval-auc:0.698751 train-auc:0.995751
[140] eval-auc:0.699133 train-auc:0.995928
[141] eval-auc:0.699089 train-auc:0.996041
[142] eval-auc:0.698777 train-auc:0.996242
[143] eval-auc:0.699077 train-auc:0.996435
[144] eval-auc:0.699354 train-auc:0.996523
[145] eval-auc:0.699614 train-auc:0.996589
[146] eval-auc:0.699217 train-auc:0.996678
[147] eval-auc:0.698944 train-auc:0.996845
[148] eval-auc:0.699087 train-auc:0.996959
[149] eval-auc:0.699348 train-auc:0.997015
[150] eval-auc:0.699198 train-auc:0.997135
[151] eval-auc:0.69906 train-auc:0.997192
[152] eval-auc:0.699571 train-auc:0.997295
[153] eval-auc:0.698976 train-auc:0.997403
[154] eval-auc:0.69839 train-auc:0.997461
[155] eval-auc:0.699902 train-auc:0.997597
[156] eval-auc:0.699709 train-auc:0.997606
[157] eval-auc:0.699576 train-auc:0.99763
[158] eval-auc:0.698719 train-auc:0.997693
[159] eval-auc:0.698836 train-auc:0.997689
[160] eval-auc:0.699016 train-auc:0.997696
[161] eval-auc:0.69869 train-auc:0.997698
[162] eval-auc:0.699556 train-auc:0.997989
[163] eval-auc:0.699061 train-auc:0.998062
[164] eval-auc:0.700197 train-auc:0.998112
[165] eval-auc:0.700662 train-auc:0.998225
[166] eval-auc:0.699826 train-auc:0.998282
[167] eval-auc:0.699734 train-auc:0.998349
[168] eval-auc:0.698863 train-auc:0.998458
[169] eval-auc:0.698746 train-auc:0.998505
[170] eval-auc:0.698777 train-auc:0.99852
[171] eval-auc:0.698932 train-auc:0.998556
[172] eval-auc:0.698933 train-auc:0.998621
[173] eval-auc:0.699503 train-auc:0.998628
[174] eval-auc:0.699215 train-auc:0.998691
[175] eval-auc:0.699186 train-auc:0.998706
[176] eval-auc:0.699215 train-auc:0.998727
[177] eval-auc:0.699113 train-auc:0.998729
[178] eval-auc:0.698187 train-auc:0.998769
[179] eval-auc:0.69805 train-auc:0.998825
[180] eval-auc:0.697636 train-auc:0.998887
[181] eval-auc:0.696908 train-auc:0.998962
[182] eval-auc:0.697537 train-auc:0.998985
[183] eval-auc:0.696494 train-auc:0.998963
[184] eval-auc:0.697577 train-auc:0.998993
[185] eval-auc:0.69786 train-auc:0.999095
[186] eval-auc:0.696537 train-auc:0.999124
[187] eval-auc:0.697208 train-auc:0.999166
[188] eval-auc:0.697195 train-auc:0.999162
[189] eval-auc:0.697423 train-auc:0.999163
[190] eval-auc:0.698464 train-auc:0.999188
[191] eval-auc:0.698889 train-auc:0.999189
[192] eval-auc:0.698863 train-auc:0.999158
[193] eval-auc:0.697354 train-auc:0.999191
[194] eval-auc:0.696759 train-auc:0.999194
[195] eval-auc:0.697076 train-auc:0.999229
[196] eval-auc:0.697275 train-auc:0.99923
[197] eval-auc:0.697787 train-auc:0.999252
[198] eval-auc:0.697941 train-auc:0.999264
[199] eval-auc:0.698184 train-auc:0.999262
[200] eval-auc:0.697939 train-auc:0.999291
[201] eval-auc:0.697939 train-auc:0.999291
[202] eval-auc:0.697939 train-auc:0.999291
[203] eval-auc:0.697939 train-auc:0.999291
[204] eval-auc:0.697939 train-auc:0.999291
[205] eval-auc:0.697939 train-auc:0.999291
[206] eval-auc:0.697939 train-auc:0.999291
[207] eval-auc:0.697939 train-auc:0.999291
[208] eval-auc:0.697939 train-auc:0.999291
[209] eval-auc:0.697939 train-auc:0.999291
[210] eval-auc:0.697939 train-auc:0.999291
[211] eval-auc:0.697939 train-auc:0.999291
[212] eval-auc:0.697939 train-auc:0.999291
[213] eval-auc:0.697939 train-auc:0.999291
[214] eval-auc:0.697939 train-auc:0.999291
[215] eval-auc:0.697939 train-auc:0.999291
[216] eval-auc:0.697939 train-auc:0.999291
[217] eval-auc:0.697939 train-auc:0.999291
[218] eval-auc:0.697939 train-auc:0.999291
[219] eval-auc:0.697939 train-auc:0.999291
[220] eval-auc:0.697939 train-auc:0.999291
[221] eval-auc:0.697939 train-auc:0.999291
[222] eval-auc:0.697939 train-auc:0.999291
[223] eval-auc:0.697939 train-auc:0.999291
[224] eval-auc:0.697939 train-auc:0.999291
[225] eval-auc:0.697939 train-auc:0.999291
[226] eval-auc:0.697939 train-auc:0.999291
[227] eval-auc:0.697939 train-auc:0.999291
[228] eval-auc:0.697939 train-auc:0.999291
[229] eval-auc:0.697939 train-auc:0.999291
[230] eval-auc:0.697939 train-auc:0.999291
[231] eval-auc:0.697939 train-auc:0.999291
[232] eval-auc:0.697939 train-auc:0.999291
[233] eval-auc:0.697939 train-auc:0.999291
[234] eval-auc:0.697939 train-auc:0.999291
[235] eval-auc:0.697939 train-auc:0.999291
Score 0.6979391270450366
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 1.0, 'eta': 0.07500000000000001, 'eval_metric': 'auc', 'gamma': 1.0, 'max_depth': 2, 'min_child_weight': 3.0, 'n_estimators': 151.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.670464 train-auc:0.689717
[1] eval-auc:0.669684 train-auc:0.690297
[2] eval-auc:0.666128 train-auc:0.694804
[3] eval-auc:0.695401 train-auc:0.714353
[4] eval-auc:0.699777 train-auc:0.717242
[5] eval-auc:0.696849 train-auc:0.716586
[6] eval-auc:0.696546 train-auc:0.716826
[7] eval-auc:0.696692 train-auc:0.716866
[8] eval-auc:0.700351 train-auc:0.718953
[9] eval-auc:0.699817 train-auc:0.718944
[10] eval-auc:0.70015 train-auc:0.718677
[11] eval-auc:0.700976 train-auc:0.71935
[12] eval-auc:0.702274 train-auc:0.719323
[13] eval-auc:0.701853 train-auc:0.720403
[14] eval-auc:0.708182 train-auc:0.724275
[15] eval-auc:0.702778 train-auc:0.722842
[16] eval-auc:0.703024 train-auc:0.722729
[17] eval-auc:0.702255 train-auc:0.721442
[18] eval-auc:0.701714 train-auc:0.721722
[19] eval-auc:0.703145 train-auc:0.722675
[20] eval-auc:0.700416 train-auc:0.71966
[21] eval-auc:0.699597 train-auc:0.720367
[22] eval-auc:0.699655 train-auc:0.721706
[23] eval-auc:0.699885 train-auc:0.721299
[24] eval-auc:0.703902 train-auc:0.724765
[25] eval-auc:0.703146 train-auc:0.725128
[26] eval-auc:0.70266 train-auc:0.725924
[27] eval-auc:0.701555 train-auc:0.7265
[28] eval-auc:0.703336 train-auc:0.72667
[29] eval-auc:0.701939 train-auc:0.727223
[30] eval-auc:0.700691 train-auc:0.728856
[31] eval-auc:0.699795 train-auc:0.72703
[32] eval-auc:0.699686 train-auc:0.727419
[33] eval-auc:0.701559 train-auc:0.727713
[34] eval-auc:0.700101 train-auc:0.728583
[35] eval-auc:0.698836 train-auc:0.728666
[36] eval-auc:0.699215 train-auc:0.72699
[37] eval-auc:0.69871 train-auc:0.726766
[38] eval-auc:0.698643 train-auc:0.727423
[39] eval-auc:0.699028 train-auc:0.728645
[40] eval-auc:0.698486 train-auc:0.727468
[41] eval-auc:0.701033 train-auc:0.728297
[42] eval-auc:0.702022 train-auc:0.729116
[43] eval-auc:0.703047 train-auc:0.729563
[44] eval-auc:0.704201 train-auc:0.730705
[45] eval-auc:0.703224 train-auc:0.730633
[46] eval-auc:0.702852 train-auc:0.730087
[47] eval-auc:0.702902 train-auc:0.730673
[48] eval-auc:0.703731 train-auc:0.731617
[49] eval-auc:0.703734 train-auc:0.731472
[50] eval-auc:0.70385 train-auc:0.731561
[51] eval-auc:0.704794 train-auc:0.731937
[52] eval-auc:0.704912 train-auc:0.732113
[53] eval-auc:0.704801 train-auc:0.731919
[54] eval-auc:0.70524 train-auc:0.732246
[55] eval-auc:0.705557 train-auc:0.732601
[56] eval-auc:0.706041 train-auc:0.732892
[57] eval-auc:0.706249 train-auc:0.732787
[58] eval-auc:0.705751 train-auc:0.733357
[59] eval-auc:0.706642 train-auc:0.733988
[60] eval-auc:0.706793 train-auc:0.734433
[61] eval-auc:0.706977 train-auc:0.735042
[62] eval-auc:0.707223 train-auc:0.735165
[63] eval-auc:0.707451 train-auc:0.735646
[64] eval-auc:0.707623 train-auc:0.73629
[65] eval-auc:0.707726 train-auc:0.737063
[66] eval-auc:0.708252 train-auc:0.738504
[67] eval-auc:0.708174 train-auc:0.738535
[68] eval-auc:0.708534 train-auc:0.738737
[69] eval-auc:0.70748 train-auc:0.739895
[70] eval-auc:0.707414 train-auc:0.739623
[71] eval-auc:0.707957 train-auc:0.74014
[72] eval-auc:0.70725 train-auc:0.740414
[73] eval-auc:0.706361 train-auc:0.740493
[74] eval-auc:0.706742 train-auc:0.740484
[75] eval-auc:0.706699 train-auc:0.740766
[76] eval-auc:0.707011 train-auc:0.740881
[77] eval-auc:0.70736 train-auc:0.741358
[78] eval-auc:0.707916 train-auc:0.741695
[79] eval-auc:0.708397 train-auc:0.742101
[80] eval-auc:0.709076 train-auc:0.742941
[81] eval-auc:0.709221 train-auc:0.743092
[82] eval-auc:0.707845 train-auc:0.743909
[83] eval-auc:0.707599 train-auc:0.743975
[84] eval-auc:0.708615 train-auc:0.744962
[85] eval-auc:0.708691 train-auc:0.745129
[86] eval-auc:0.709184 train-auc:0.745725
[87] eval-auc:0.708252 train-auc:0.746831
[88] eval-auc:0.708621 train-auc:0.7476
[89] eval-auc:0.708138 train-auc:0.748423
[90] eval-auc:0.70825 train-auc:0.748464
[91] eval-auc:0.707517 train-auc:0.748533
[92] eval-auc:0.708026 train-auc:0.748284
[93] eval-auc:0.707902 train-auc:0.74856
[94] eval-auc:0.708632 train-auc:0.749224
[95] eval-auc:0.708624 train-auc:0.749616
[96] eval-auc:0.709218 train-auc:0.75022
[97] eval-auc:0.708929 train-auc:0.750754
[98] eval-auc:0.708869 train-auc:0.751155
[99] eval-auc:0.708908 train-auc:0.751213
[100] eval-auc:0.709316 train-auc:0.751336
[101] eval-auc:0.709488 train-auc:0.751335
[102] eval-auc:0.709545 train-auc:0.751713
[103] eval-auc:0.709226 train-auc:0.751971
[104] eval-auc:0.709259 train-auc:0.752132
[105] eval-auc:0.708951 train-auc:0.752206
[106] eval-auc:0.709024 train-auc:0.752243
[107] eval-auc:0.709475 train-auc:0.75244
[108] eval-auc:0.710021 train-auc:0.752109
[109] eval-auc:0.709779 train-auc:0.752333
[110] eval-auc:0.710175 train-auc:0.752529
[111] eval-auc:0.710643 train-auc:0.752804
[112] eval-auc:0.711351 train-auc:0.753342
[113] eval-auc:0.711003 train-auc:0.753927
[114] eval-auc:0.711284 train-auc:0.753644
[115] eval-auc:0.71146 train-auc:0.753981
[116] eval-auc:0.71143 train-auc:0.754166
[117] eval-auc:0.711451 train-auc:0.754472
[118] eval-auc:0.711776 train-auc:0.755704
[119] eval-auc:0.710949 train-auc:0.755784
[120] eval-auc:0.710995 train-auc:0.756521
[121] eval-auc:0.711002 train-auc:0.757013
[122] eval-auc:0.711096 train-auc:0.757687
[123] eval-auc:0.711329 train-auc:0.758538
[124] eval-auc:0.711288 train-auc:0.758752
[125] eval-auc:0.710888 train-auc:0.759323
[126] eval-auc:0.711309 train-auc:0.759807
[127] eval-auc:0.711333 train-auc:0.759992
[128] eval-auc:0.711237 train-auc:0.760392
[129] eval-auc:0.711613 train-auc:0.760762
[130] eval-auc:0.712123 train-auc:0.760963
[131] eval-auc:0.711824 train-auc:0.760657
[132] eval-auc:0.711996 train-auc:0.760946
[133] eval-auc:0.711795 train-auc:0.761338
[134] eval-auc:0.711687 train-auc:0.76167
[135] eval-auc:0.711934 train-auc:0.762146
[136] eval-auc:0.71215 train-auc:0.762829
[137] eval-auc:0.712021 train-auc:0.763168
[138] eval-auc:0.712044 train-auc:0.763344
[139] eval-auc:0.712021 train-auc:0.763333
[140] eval-auc:0.712241 train-auc:0.763317
[141] eval-auc:0.712366 train-auc:0.764019
[142] eval-auc:0.711997 train-auc:0.764248
[143] eval-auc:0.712289 train-auc:0.76511
[144] eval-auc:0.712126 train-auc:0.765474
[145] eval-auc:0.712497 train-auc:0.765752
[146] eval-auc:0.711897 train-auc:0.765746
[147] eval-auc:0.711595 train-auc:0.766206
[148] eval-auc:0.711525 train-auc:0.766479
[149] eval-auc:0.711431 train-auc:0.766943
[150] eval-auc:0.711383 train-auc:0.767136
Score 0.7113833765790789
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 1.0, 'eta': 0.025, 'eval_metric': 'auc', 'gamma': 1.0, 'max_depth': 2, 'min_child_weight': 3.0, 'n_estimators': 204.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.670464 train-auc:0.689717
[1] eval-auc:0.669684 train-auc:0.690297
[2] eval-auc:0.666128 train-auc:0.694804
[3] eval-auc:0.665851 train-auc:0.69434
[4] eval-auc:0.668537 train-auc:0.692604
[5] eval-auc:0.668537 train-auc:0.692604
[6] eval-auc:0.697974 train-auc:0.716164
[7] eval-auc:0.697974 train-auc:0.716164
[8] eval-auc:0.697974 train-auc:0.716164
[9] eval-auc:0.695401 train-auc:0.714353
[10] eval-auc:0.695781 train-auc:0.716265
[11] eval-auc:0.695781 train-auc:0.716265
[12] eval-auc:0.696087 train-auc:0.717033
[13] eval-auc:0.695564 train-auc:0.717267
[14] eval-auc:0.695539 train-auc:0.717249
[15] eval-auc:0.695798 train-auc:0.717325
[16] eval-auc:0.696451 train-auc:0.71754
[17] eval-auc:0.696664 train-auc:0.717708
[18] eval-auc:0.696667 train-auc:0.717668
[19] eval-auc:0.696062 train-auc:0.720136
[20] eval-auc:0.698383 train-auc:0.721262
[21] eval-auc:0.698954 train-auc:0.720808
[22] eval-auc:0.699024 train-auc:0.720927
[23] eval-auc:0.700175 train-auc:0.721429
[24] eval-auc:0.699988 train-auc:0.721018
[25] eval-auc:0.699884 train-auc:0.721044
[26] eval-auc:0.699358 train-auc:0.721017
[27] eval-auc:0.699463 train-auc:0.720907
[28] eval-auc:0.699358 train-auc:0.720879
[29] eval-auc:0.6993 train-auc:0.720866
[30] eval-auc:0.698695 train-auc:0.720882
[31] eval-auc:0.697718 train-auc:0.720274
[32] eval-auc:0.697694 train-auc:0.72027
[33] eval-auc:0.697696 train-auc:0.719657
[34] eval-auc:0.697798 train-auc:0.719503
[35] eval-auc:0.697595 train-auc:0.719596
[36] eval-auc:0.698592 train-auc:0.721059
[37] eval-auc:0.699548 train-auc:0.721244
[38] eval-auc:0.699507 train-auc:0.72119
[39] eval-auc:0.699827 train-auc:0.721845
[40] eval-auc:0.698889 train-auc:0.723655
[41] eval-auc:0.698627 train-auc:0.723849
[42] eval-auc:0.698956 train-auc:0.723832
[43] eval-auc:0.699138 train-auc:0.724098
[44] eval-auc:0.699235 train-auc:0.724007
[45] eval-auc:0.699296 train-auc:0.724205
[46] eval-auc:0.699061 train-auc:0.724183
[47] eval-auc:0.700309 train-auc:0.726358
[48] eval-auc:0.699441 train-auc:0.724449
[49] eval-auc:0.699629 train-auc:0.724799
[50] eval-auc:0.699171 train-auc:0.72509
[51] eval-auc:0.698427 train-auc:0.724145
[52] eval-auc:0.699166 train-auc:0.726061
[53] eval-auc:0.697281 train-auc:0.72445
[54] eval-auc:0.698805 train-auc:0.727325
[55] eval-auc:0.69903 train-auc:0.727562
[56] eval-auc:0.702153 train-auc:0.728494
[57] eval-auc:0.702592 train-auc:0.726627
[58] eval-auc:0.699358 train-auc:0.726501
[59] eval-auc:0.699112 train-auc:0.726912
[60] eval-auc:0.699705 train-auc:0.727487
[61] eval-auc:0.701792 train-auc:0.728036
[62] eval-auc:0.700106 train-auc:0.727874
[63] eval-auc:0.699768 train-auc:0.727504
[64] eval-auc:0.700905 train-auc:0.728559
[65] eval-auc:0.700298 train-auc:0.727377
[66] eval-auc:0.699881 train-auc:0.726865
[67] eval-auc:0.700612 train-auc:0.72798
[68] eval-auc:0.700072 train-auc:0.727618
[69] eval-auc:0.700428 train-auc:0.726613
[70] eval-auc:0.6996 train-auc:0.725898
[71] eval-auc:0.700199 train-auc:0.725758
[72] eval-auc:0.699396 train-auc:0.724883
[73] eval-auc:0.699873 train-auc:0.726066
[74] eval-auc:0.69968 train-auc:0.725174
[75] eval-auc:0.699161 train-auc:0.724802
[76] eval-auc:0.699901 train-auc:0.725709
[77] eval-auc:0.701083 train-auc:0.726892
[78] eval-auc:0.699834 train-auc:0.726092
[79] eval-auc:0.700768 train-auc:0.727093
[80] eval-auc:0.699674 train-auc:0.726092
[81] eval-auc:0.69954 train-auc:0.72553
[82] eval-auc:0.699447 train-auc:0.724935
[83] eval-auc:0.699524 train-auc:0.725909
[84] eval-auc:0.699723 train-auc:0.725585
[85] eval-auc:0.699492 train-auc:0.72508
[86] eval-auc:0.699935 train-auc:0.725759
[87] eval-auc:0.699886 train-auc:0.726601
[88] eval-auc:0.699701 train-auc:0.72683
[89] eval-auc:0.699256 train-auc:0.727892
[90] eval-auc:0.699032 train-auc:0.727691
[91] eval-auc:0.698892 train-auc:0.727288
[92] eval-auc:0.698892 train-auc:0.726617
[93] eval-auc:0.69879 train-auc:0.726818
[94] eval-auc:0.698654 train-auc:0.726972
[95] eval-auc:0.698758 train-auc:0.727132
[96] eval-auc:0.699482 train-auc:0.728233
[97] eval-auc:0.699514 train-auc:0.728398
[98] eval-auc:0.698956 train-auc:0.728112
[99] eval-auc:0.698831 train-auc:0.727623
[100] eval-auc:0.698821 train-auc:0.727826
[101] eval-auc:0.699724 train-auc:0.727989
[102] eval-auc:0.700209 train-auc:0.728197
[103] eval-auc:0.700296 train-auc:0.728669
[104] eval-auc:0.701055 train-auc:0.728881
[105] eval-auc:0.700927 train-auc:0.728899
[106] eval-auc:0.700628 train-auc:0.728806
[107] eval-auc:0.700615 train-auc:0.728662
[108] eval-auc:0.700292 train-auc:0.728057
[109] eval-auc:0.70038 train-auc:0.72836
[110] eval-auc:0.700773 train-auc:0.728528
[111] eval-auc:0.701482 train-auc:0.728648
[112] eval-auc:0.701674 train-auc:0.728653
[113] eval-auc:0.702389 train-auc:0.729235
[114] eval-auc:0.702618 train-auc:0.729258
[115] eval-auc:0.702434 train-auc:0.729126
[116] eval-auc:0.70229 train-auc:0.729161
[117] eval-auc:0.702274 train-auc:0.729394
[118] eval-auc:0.702765 train-auc:0.729324
[119] eval-auc:0.702705 train-auc:0.728821
[120] eval-auc:0.702104 train-auc:0.729156
[121] eval-auc:0.702092 train-auc:0.729238
[122] eval-auc:0.70209 train-auc:0.728632
[123] eval-auc:0.701929 train-auc:0.727948
[124] eval-auc:0.702076 train-auc:0.72803
[125] eval-auc:0.701961 train-auc:0.728052
[126] eval-auc:0.702057 train-auc:0.728163
[127] eval-auc:0.702239 train-auc:0.72831
[128] eval-auc:0.702574 train-auc:0.728506
[129] eval-auc:0.702571 train-auc:0.728688
[130] eval-auc:0.703024 train-auc:0.729159
[131] eval-auc:0.70291 train-auc:0.729253
[132] eval-auc:0.702795 train-auc:0.729544
[133] eval-auc:0.702725 train-auc:0.729887
[134] eval-auc:0.702677 train-auc:0.72985
[135] eval-auc:0.703292 train-auc:0.730209
[136] eval-auc:0.702985 train-auc:0.73041
[137] eval-auc:0.702722 train-auc:0.730864
[138] eval-auc:0.702786 train-auc:0.730689
[139] eval-auc:0.70335 train-auc:0.731195
[140] eval-auc:0.703444 train-auc:0.731306
[141] eval-auc:0.703895 train-auc:0.731422
[142] eval-auc:0.703675 train-auc:0.731634
[143] eval-auc:0.704027 train-auc:0.731675
[144] eval-auc:0.70391 train-auc:0.731963
[145] eval-auc:0.703888 train-auc:0.732067
[146] eval-auc:0.703593 train-auc:0.732259
[147] eval-auc:0.703861 train-auc:0.732492
[148] eval-auc:0.703815 train-auc:0.732271
[149] eval-auc:0.703669 train-auc:0.731947
[150] eval-auc:0.703899 train-auc:0.731961
[151] eval-auc:0.704002 train-auc:0.732111
[152] eval-auc:0.704116 train-auc:0.732365
[153] eval-auc:0.704287 train-auc:0.732556
[154] eval-auc:0.704419 train-auc:0.73273
[155] eval-auc:0.704539 train-auc:0.732765
[156] eval-auc:0.70461 train-auc:0.73292
[157] eval-auc:0.704756 train-auc:0.732869
[158] eval-auc:0.705131 train-auc:0.733111
[159] eval-auc:0.705256 train-auc:0.733324
[160] eval-auc:0.705055 train-auc:0.733616
[161] eval-auc:0.705055 train-auc:0.733505
[162] eval-auc:0.704852 train-auc:0.733163
[163] eval-auc:0.704941 train-auc:0.733341
[164] eval-auc:0.70505 train-auc:0.733401
[165] eval-auc:0.705115 train-auc:0.733385
[166] eval-auc:0.705063 train-auc:0.733622
[167] eval-auc:0.705107 train-auc:0.733511
[168] eval-auc:0.705363 train-auc:0.733466
[169] eval-auc:0.705429 train-auc:0.733516
[170] eval-auc:0.705845 train-auc:0.733871
[171] eval-auc:0.705908 train-auc:0.734076
[172] eval-auc:0.705787 train-auc:0.733605
[173] eval-auc:0.705825 train-auc:0.733718
[174] eval-auc:0.706068 train-auc:0.733864
[175] eval-auc:0.706133 train-auc:0.733893
[176] eval-auc:0.706153 train-auc:0.734345
[177] eval-auc:0.705844 train-auc:0.734334
[178] eval-auc:0.70591 train-auc:0.734316
[179] eval-auc:0.705864 train-auc:0.734543
[180] eval-auc:0.705829 train-auc:0.734678
[181] eval-auc:0.70608 train-auc:0.73498
[182] eval-auc:0.706245 train-auc:0.734955
[183] eval-auc:0.70652 train-auc:0.734905
[184] eval-auc:0.706397 train-auc:0.73491
[185] eval-auc:0.706434 train-auc:0.735095
[186] eval-auc:0.706543 train-auc:0.734963
[187] eval-auc:0.706624 train-auc:0.735233
[188] eval-auc:0.70685 train-auc:0.735439
[189] eval-auc:0.706873 train-auc:0.735461
[190] eval-auc:0.707056 train-auc:0.735582
[191] eval-auc:0.707089 train-auc:0.735767
[192] eval-auc:0.707062 train-auc:0.735923
[193] eval-auc:0.707053 train-auc:0.736097
[194] eval-auc:0.707065 train-auc:0.736217
[195] eval-auc:0.707184 train-auc:0.736329
[196] eval-auc:0.707231 train-auc:0.736434
[197] eval-auc:0.707321 train-auc:0.73652
[198] eval-auc:0.707426 train-auc:0.736712
[199] eval-auc:0.707508 train-auc:0.736752
[200] eval-auc:0.707476 train-auc:0.736927
[201] eval-auc:0.707331 train-auc:0.737395
[202] eval-auc:0.707448 train-auc:0.737645
[203] eval-auc:0.707544 train-auc:0.737817
Score 0.7075437939309773
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9500000000000001, 'eta': 0.05, 'eval_metric': 'auc', 'gamma': 0.9500000000000001, 'max_depth': 2, 'min_child_weight': 3.0, 'n_estimators': 124.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.670464 train-auc:0.689717
[1] eval-auc:0.669684 train-auc:0.690297
[2] eval-auc:0.666128 train-auc:0.694804
[3] eval-auc:0.697974 train-auc:0.716164
[4] eval-auc:0.697974 train-auc:0.716164
[5] eval-auc:0.695448 train-auc:0.714102
[6] eval-auc:0.695524 train-auc:0.714421
[7] eval-auc:0.69497 train-auc:0.713814
[8] eval-auc:0.694833 train-auc:0.713644
[9] eval-auc:0.695672 train-auc:0.714426
[10] eval-auc:0.697531 train-auc:0.714833
[11] eval-auc:0.697367 train-auc:0.714747
[12] eval-auc:0.696686 train-auc:0.715323
[13] eval-auc:0.697416 train-auc:0.715596
[14] eval-auc:0.697346 train-auc:0.715187
[15] eval-auc:0.697842 train-auc:0.716506
[16] eval-auc:0.697909 train-auc:0.716911
[17] eval-auc:0.697809 train-auc:0.717769
[18] eval-auc:0.698033 train-auc:0.718022
[19] eval-auc:0.697213 train-auc:0.718013
[20] eval-auc:0.697947 train-auc:0.718973
[21] eval-auc:0.697688 train-auc:0.719205
[22] eval-auc:0.697953 train-auc:0.720728
[23] eval-auc:0.698171 train-auc:0.721089
[24] eval-auc:0.698462 train-auc:0.722346
[25] eval-auc:0.699085 train-auc:0.722666
[26] eval-auc:0.69928 train-auc:0.723144
[27] eval-auc:0.700072 train-auc:0.72402
[28] eval-auc:0.699526 train-auc:0.723571
[29] eval-auc:0.699833 train-auc:0.724075
[30] eval-auc:0.699913 train-auc:0.724842
[31] eval-auc:0.702315 train-auc:0.72737
[32] eval-auc:0.702098 train-auc:0.725237
[33] eval-auc:0.703043 train-auc:0.7256
[34] eval-auc:0.700643 train-auc:0.72663
[35] eval-auc:0.698993 train-auc:0.725089
[36] eval-auc:0.698312 train-auc:0.723761
[37] eval-auc:0.698609 train-auc:0.72411
[38] eval-auc:0.699259 train-auc:0.72564
[39] eval-auc:0.698322 train-auc:0.725213
[40] eval-auc:0.697685 train-auc:0.723811
[41] eval-auc:0.698518 train-auc:0.725525
[42] eval-auc:0.698185 train-auc:0.727232
[43] eval-auc:0.699919 train-auc:0.727643
[44] eval-auc:0.699332 train-auc:0.726357
[45] eval-auc:0.700296 train-auc:0.726484
[46] eval-auc:0.700017 train-auc:0.726938
[47] eval-auc:0.69937 train-auc:0.727935
[48] eval-auc:0.699844 train-auc:0.728068
[49] eval-auc:0.699813 train-auc:0.727151
[50] eval-auc:0.699887 train-auc:0.727201
[51] eval-auc:0.699934 train-auc:0.725821
[52] eval-auc:0.700785 train-auc:0.726462
[53] eval-auc:0.700354 train-auc:0.725243
[54] eval-auc:0.700864 train-auc:0.725748
[55] eval-auc:0.701582 train-auc:0.725822
[56] eval-auc:0.70213 train-auc:0.726309
[57] eval-auc:0.701909 train-auc:0.726672
[58] eval-auc:0.701298 train-auc:0.727367
[59] eval-auc:0.701699 train-auc:0.728417
[60] eval-auc:0.701938 train-auc:0.728905
[61] eval-auc:0.702506 train-auc:0.729789
[62] eval-auc:0.702554 train-auc:0.730098
[63] eval-auc:0.703445 train-auc:0.731128
[64] eval-auc:0.703513 train-auc:0.731068
[65] eval-auc:0.704035 train-auc:0.731167
[66] eval-auc:0.703923 train-auc:0.731641
[67] eval-auc:0.704394 train-auc:0.731993
[68] eval-auc:0.704491 train-auc:0.732332
[69] eval-auc:0.705121 train-auc:0.732527
[70] eval-auc:0.705311 train-auc:0.732361
[71] eval-auc:0.705506 train-auc:0.732333
[72] eval-auc:0.704603 train-auc:0.732691
[73] eval-auc:0.704662 train-auc:0.732432
[74] eval-auc:0.704459 train-auc:0.732874
[75] eval-auc:0.704046 train-auc:0.732935
[76] eval-auc:0.703569 train-auc:0.733283
[77] eval-auc:0.703883 train-auc:0.733647
[78] eval-auc:0.703795 train-auc:0.733894
[79] eval-auc:0.703799 train-auc:0.73443
[80] eval-auc:0.703534 train-auc:0.734187
[81] eval-auc:0.703505 train-auc:0.733861
[82] eval-auc:0.703674 train-auc:0.734005
[83] eval-auc:0.7039 train-auc:0.734106
[84] eval-auc:0.704905 train-auc:0.734863
[85] eval-auc:0.705214 train-auc:0.735073
[86] eval-auc:0.705452 train-auc:0.735505
[87] eval-auc:0.705506 train-auc:0.735917
[88] eval-auc:0.706266 train-auc:0.736477
[89] eval-auc:0.706476 train-auc:0.736747
[90] eval-auc:0.706778 train-auc:0.736944
[91] eval-auc:0.706696 train-auc:0.736873
[92] eval-auc:0.707063 train-auc:0.737196
[93] eval-auc:0.707212 train-auc:0.737399
[94] eval-auc:0.7082 train-auc:0.73792
[95] eval-auc:0.70848 train-auc:0.738175
[96] eval-auc:0.708596 train-auc:0.73851
[97] eval-auc:0.708839 train-auc:0.738949
[98] eval-auc:0.708578 train-auc:0.739328
[99] eval-auc:0.708629 train-auc:0.739437
[100] eval-auc:0.708975 train-auc:0.739536
[101] eval-auc:0.709251 train-auc:0.739685
[102] eval-auc:0.709353 train-auc:0.739923
[103] eval-auc:0.709599 train-auc:0.739997
[104] eval-auc:0.709647 train-auc:0.740062
[105] eval-auc:0.709708 train-auc:0.740127
[106] eval-auc:0.70938 train-auc:0.740516
[107] eval-auc:0.709528 train-auc:0.740773
[108] eval-auc:0.709491 train-auc:0.740572
[109] eval-auc:0.709554 train-auc:0.740696
[110] eval-auc:0.709721 train-auc:0.740702
[111] eval-auc:0.709954 train-auc:0.741045
[112] eval-auc:0.709931 train-auc:0.74118
[113] eval-auc:0.709987 train-auc:0.74132
[114] eval-auc:0.71019 train-auc:0.741072
[115] eval-auc:0.709711 train-auc:0.741067
[116] eval-auc:0.709912 train-auc:0.741096
[117] eval-auc:0.710024 train-auc:0.741409
[118] eval-auc:0.710222 train-auc:0.741446
[119] eval-auc:0.709508 train-auc:0.741445
[120] eval-auc:0.709757 train-auc:0.742021
[121] eval-auc:0.709504 train-auc:0.742421
[122] eval-auc:0.710028 train-auc:0.742859
[123] eval-auc:0.709951 train-auc:0.743052
Score 0.7099504805759602
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9500000000000001, 'eta': 0.15000000000000002, 'eval_metric': 'auc', 'gamma': 1.0, 'max_depth': 2, 'min_child_weight': 3.0, 'n_estimators': 153.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.669332 train-auc:0.690256
[1] eval-auc:0.68202 train-auc:0.696061
[2] eval-auc:0.707295 train-auc:0.709978
[3] eval-auc:0.708037 train-auc:0.712319
[4] eval-auc:0.70311 train-auc:0.709624
[5] eval-auc:0.706779 train-auc:0.710075
[6] eval-auc:0.701579 train-auc:0.708431
[7] eval-auc:0.706399 train-auc:0.711615
[8] eval-auc:0.702255 train-auc:0.710209
[9] eval-auc:0.702939 train-auc:0.710278
[10] eval-auc:0.701532 train-auc:0.710809
[11] eval-auc:0.700353 train-auc:0.7139
[12] eval-auc:0.706316 train-auc:0.717564
[13] eval-auc:0.703164 train-auc:0.717867
[14] eval-auc:0.70534 train-auc:0.7224
[15] eval-auc:0.702099 train-auc:0.721436
[16] eval-auc:0.70204 train-auc:0.725429
[17] eval-auc:0.701076 train-auc:0.722839
[18] eval-auc:0.704584 train-auc:0.725545
[19] eval-auc:0.706221 train-auc:0.726869
[20] eval-auc:0.706953 train-auc:0.728909
[21] eval-auc:0.706224 train-auc:0.728739
[22] eval-auc:0.706284 train-auc:0.729509
[23] eval-auc:0.705941 train-auc:0.730509
[24] eval-auc:0.705175 train-auc:0.731244
[25] eval-auc:0.70548 train-auc:0.730434
[26] eval-auc:0.704491 train-auc:0.730344
[27] eval-auc:0.705899 train-auc:0.731516
[28] eval-auc:0.707002 train-auc:0.733001
[29] eval-auc:0.707881 train-auc:0.733661
[30] eval-auc:0.707808 train-auc:0.734448
[31] eval-auc:0.70847 train-auc:0.735453
[32] eval-auc:0.708665 train-auc:0.735695
[33] eval-auc:0.709078 train-auc:0.737433
[34] eval-auc:0.709261 train-auc:0.737634
[35] eval-auc:0.710583 train-auc:0.739033
[36] eval-auc:0.710155 train-auc:0.739647
[37] eval-auc:0.710376 train-auc:0.739916
[38] eval-auc:0.710802 train-auc:0.741135
[39] eval-auc:0.710681 train-auc:0.741794
[40] eval-auc:0.710675 train-auc:0.742322
[41] eval-auc:0.709982 train-auc:0.742075
[42] eval-auc:0.71019 train-auc:0.742634
[43] eval-auc:0.710451 train-auc:0.742691
[44] eval-auc:0.710108 train-auc:0.743762
[45] eval-auc:0.710386 train-auc:0.743253
[46] eval-auc:0.708986 train-auc:0.743629
[47] eval-auc:0.709559 train-auc:0.744122
[48] eval-auc:0.710436 train-auc:0.745014
[49] eval-auc:0.71048 train-auc:0.745483
[50] eval-auc:0.710462 train-auc:0.745825
[51] eval-auc:0.710223 train-auc:0.746537
[52] eval-auc:0.710183 train-auc:0.747533
[53] eval-auc:0.711115 train-auc:0.749809
[54] eval-auc:0.711004 train-auc:0.751677
[55] eval-auc:0.711054 train-auc:0.75231
[56] eval-auc:0.710381 train-auc:0.753828
[57] eval-auc:0.710367 train-auc:0.754286
[58] eval-auc:0.710802 train-auc:0.754993
[59] eval-auc:0.710822 train-auc:0.755177
[60] eval-auc:0.708782 train-auc:0.756382
[61] eval-auc:0.707923 train-auc:0.755746
[62] eval-auc:0.708296 train-auc:0.756302
[63] eval-auc:0.70839 train-auc:0.756776
[64] eval-auc:0.707876 train-auc:0.75808
[65] eval-auc:0.707325 train-auc:0.759272
[66] eval-auc:0.707771 train-auc:0.760069
[67] eval-auc:0.708001 train-auc:0.76086
[68] eval-auc:0.707055 train-auc:0.760986
[69] eval-auc:0.707669 train-auc:0.762147
[70] eval-auc:0.707369 train-auc:0.762643
[71] eval-auc:0.707683 train-auc:0.762889
[72] eval-auc:0.707793 train-auc:0.763269
[73] eval-auc:0.707805 train-auc:0.763367
[74] eval-auc:0.708894 train-auc:0.764226
[75] eval-auc:0.70727 train-auc:0.765936
[76] eval-auc:0.70747 train-auc:0.76615
[77] eval-auc:0.70738 train-auc:0.76655
[78] eval-auc:0.707475 train-auc:0.767729
[79] eval-auc:0.707519 train-auc:0.767982
[80] eval-auc:0.707525 train-auc:0.768018
[81] eval-auc:0.707969 train-auc:0.768984
[82] eval-auc:0.708186 train-auc:0.769482
[83] eval-auc:0.708566 train-auc:0.770892
[84] eval-auc:0.708607 train-auc:0.771794
[85] eval-auc:0.70997 train-auc:0.773411
[86] eval-auc:0.710345 train-auc:0.774129
[87] eval-auc:0.709722 train-auc:0.774408
[88] eval-auc:0.710425 train-auc:0.774999
[89] eval-auc:0.710292 train-auc:0.775204
[90] eval-auc:0.710599 train-auc:0.776455
[91] eval-auc:0.710813 train-auc:0.776888
[92] eval-auc:0.711328 train-auc:0.778375
[93] eval-auc:0.709974 train-auc:0.778918
[94] eval-auc:0.709532 train-auc:0.780061
[95] eval-auc:0.709814 train-auc:0.780835
[96] eval-auc:0.709546 train-auc:0.780915
[97] eval-auc:0.709462 train-auc:0.780403
[98] eval-auc:0.709779 train-auc:0.780902
[99] eval-auc:0.709376 train-auc:0.780626
[100] eval-auc:0.709054 train-auc:0.781062
[101] eval-auc:0.707857 train-auc:0.782152
[102] eval-auc:0.707678 train-auc:0.782934
[103] eval-auc:0.707579 train-auc:0.78328
[104] eval-auc:0.707666 train-auc:0.783563
[105] eval-auc:0.708109 train-auc:0.785639
[106] eval-auc:0.70778 train-auc:0.786555
[107] eval-auc:0.708288 train-auc:0.78748
[108] eval-auc:0.708003 train-auc:0.788235
[109] eval-auc:0.707794 train-auc:0.78886
[110] eval-auc:0.70772 train-auc:0.78913
[111] eval-auc:0.707855 train-auc:0.789531
[112] eval-auc:0.708304 train-auc:0.789561
[113] eval-auc:0.707996 train-auc:0.789897
[114] eval-auc:0.707864 train-auc:0.790874
[115] eval-auc:0.707739 train-auc:0.791425
[116] eval-auc:0.707734 train-auc:0.791658
[117] eval-auc:0.707904 train-auc:0.792179
[118] eval-auc:0.707717 train-auc:0.792621
[119] eval-auc:0.707515 train-auc:0.793307
[120] eval-auc:0.708084 train-auc:0.794157
[121] eval-auc:0.708815 train-auc:0.794678
[122] eval-auc:0.709173 train-auc:0.79498
[123] eval-auc:0.70846 train-auc:0.795419
[124] eval-auc:0.708688 train-auc:0.79562
[125] eval-auc:0.708336 train-auc:0.795911
[126] eval-auc:0.707505 train-auc:0.796649
[127] eval-auc:0.707951 train-auc:0.797336
[128] eval-auc:0.708143 train-auc:0.797455
[129] eval-auc:0.708237 train-auc:0.797956
[130] eval-auc:0.707947 train-auc:0.79819
[131] eval-auc:0.706956 train-auc:0.799203
[132] eval-auc:0.707631 train-auc:0.799866
[133] eval-auc:0.707299 train-auc:0.800067
[134] eval-auc:0.70698 train-auc:0.799629
[135] eval-auc:0.707714 train-auc:0.800313
[136] eval-auc:0.708077 train-auc:0.800807
[137] eval-auc:0.708107 train-auc:0.801242
[138] eval-auc:0.708337 train-auc:0.80188
[139] eval-auc:0.707806 train-auc:0.802494
[140] eval-auc:0.707364 train-auc:0.80284
[141] eval-auc:0.707477 train-auc:0.803352
[142] eval-auc:0.70783 train-auc:0.804041
[143] eval-auc:0.707973 train-auc:0.803885
[144] eval-auc:0.707561 train-auc:0.804794
[145] eval-auc:0.707755 train-auc:0.805308
[146] eval-auc:0.707889 train-auc:0.805863
[147] eval-auc:0.707773 train-auc:0.80643
[148] eval-auc:0.707537 train-auc:0.807023
[149] eval-auc:0.70745 train-auc:0.807545
[150] eval-auc:0.707325 train-auc:0.807796
[151] eval-auc:0.706939 train-auc:0.808037
[152] eval-auc:0.706078 train-auc:0.808686
Score 0.7060781590712519
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 1.0, 'eta': 0.1, 'eval_metric': 'auc', 'gamma': 0.9500000000000001, 'max_depth': 2, 'min_child_weight': 3.0, 'n_estimators': 123.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.670464 train-auc:0.689717
[1] eval-auc:0.669684 train-auc:0.690297
[2] eval-auc:0.698279 train-auc:0.716669
[3] eval-auc:0.695428 train-auc:0.714394
[4] eval-auc:0.695446 train-auc:0.715741
[5] eval-auc:0.693781 train-auc:0.717448
[6] eval-auc:0.693659 train-auc:0.716654
[7] eval-auc:0.694726 train-auc:0.717464
[8] eval-auc:0.693116 train-auc:0.716886
[9] eval-auc:0.693154 train-auc:0.716513
[10] eval-auc:0.696479 train-auc:0.71731
[11] eval-auc:0.697882 train-auc:0.720302
[12] eval-auc:0.702982 train-auc:0.722557
[13] eval-auc:0.700203 train-auc:0.721627
[14] eval-auc:0.699081 train-auc:0.71987
[15] eval-auc:0.701189 train-auc:0.720914
[16] eval-auc:0.700534 train-auc:0.72154
[17] eval-auc:0.697737 train-auc:0.719593
[18] eval-auc:0.697332 train-auc:0.720108
[19] eval-auc:0.697404 train-auc:0.721067
[20] eval-auc:0.69804 train-auc:0.723444
[21] eval-auc:0.700488 train-auc:0.724793
[22] eval-auc:0.699399 train-auc:0.723444
[23] eval-auc:0.699758 train-auc:0.724684
[24] eval-auc:0.701657 train-auc:0.724494
[25] eval-auc:0.702138 train-auc:0.725354
[26] eval-auc:0.701912 train-auc:0.725659
[27] eval-auc:0.701892 train-auc:0.725957
[28] eval-auc:0.701303 train-auc:0.725791
[29] eval-auc:0.702012 train-auc:0.72634
[30] eval-auc:0.701603 train-auc:0.727169
[31] eval-auc:0.701633 train-auc:0.72722
[32] eval-auc:0.702363 train-auc:0.728659
[33] eval-auc:0.701996 train-auc:0.728392
[34] eval-auc:0.701732 train-auc:0.729765
[35] eval-auc:0.701143 train-auc:0.730457
[36] eval-auc:0.701145 train-auc:0.7294
[37] eval-auc:0.701021 train-auc:0.728794
[38] eval-auc:0.700861 train-auc:0.728928
[39] eval-auc:0.700123 train-auc:0.729573
[40] eval-auc:0.699252 train-auc:0.729829
[41] eval-auc:0.700468 train-auc:0.729961
[42] eval-auc:0.700845 train-auc:0.730654
[43] eval-auc:0.701531 train-auc:0.73136
[44] eval-auc:0.702692 train-auc:0.732674
[45] eval-auc:0.70236 train-auc:0.733133
[46] eval-auc:0.703578 train-auc:0.733557
[47] eval-auc:0.704367 train-auc:0.734203
[48] eval-auc:0.705187 train-auc:0.735374
[49] eval-auc:0.704476 train-auc:0.73555
[50] eval-auc:0.704629 train-auc:0.736028
[51] eval-auc:0.704336 train-auc:0.735635
[52] eval-auc:0.705276 train-auc:0.736137
[53] eval-auc:0.705328 train-auc:0.736277
[54] eval-auc:0.705639 train-auc:0.736589
[55] eval-auc:0.705375 train-auc:0.73716
[56] eval-auc:0.705617 train-auc:0.737251
[57] eval-auc:0.705796 train-auc:0.737503
[58] eval-auc:0.705346 train-auc:0.737722
[59] eval-auc:0.70471 train-auc:0.739432
[60] eval-auc:0.705196 train-auc:0.740266
[61] eval-auc:0.705745 train-auc:0.740915
[62] eval-auc:0.705965 train-auc:0.741039
[63] eval-auc:0.706419 train-auc:0.74329
[64] eval-auc:0.706532 train-auc:0.743799
[65] eval-auc:0.706839 train-auc:0.744632
[66] eval-auc:0.707173 train-auc:0.745844
[67] eval-auc:0.707422 train-auc:0.746216
[68] eval-auc:0.707513 train-auc:0.746481
[69] eval-auc:0.707669 train-auc:0.747562
[70] eval-auc:0.707044 train-auc:0.747128
[71] eval-auc:0.707601 train-auc:0.74766
[72] eval-auc:0.706741 train-auc:0.747843
[73] eval-auc:0.706741 train-auc:0.749119
[74] eval-auc:0.705347 train-auc:0.750162
[75] eval-auc:0.705548 train-auc:0.750342
[76] eval-auc:0.705929 train-auc:0.750204
[77] eval-auc:0.706599 train-auc:0.750515
[78] eval-auc:0.706792 train-auc:0.750993
[79] eval-auc:0.707458 train-auc:0.751411
[80] eval-auc:0.706832 train-auc:0.751025
[81] eval-auc:0.706672 train-auc:0.750983
[82] eval-auc:0.705113 train-auc:0.75194
[83] eval-auc:0.705157 train-auc:0.752221
[84] eval-auc:0.706042 train-auc:0.753429
[85] eval-auc:0.706072 train-auc:0.753664
[86] eval-auc:0.706683 train-auc:0.754256
[87] eval-auc:0.706837 train-auc:0.754624
[88] eval-auc:0.705665 train-auc:0.75537
[89] eval-auc:0.705487 train-auc:0.75614
[90] eval-auc:0.705526 train-auc:0.756148
[91] eval-auc:0.705636 train-auc:0.756698
[92] eval-auc:0.704976 train-auc:0.75662
[93] eval-auc:0.704553 train-auc:0.75712
[94] eval-auc:0.704124 train-auc:0.758436
[95] eval-auc:0.704014 train-auc:0.758764
[96] eval-auc:0.704031 train-auc:0.759862
[97] eval-auc:0.703592 train-auc:0.760059
[98] eval-auc:0.703404 train-auc:0.760302
[99] eval-auc:0.703413 train-auc:0.760341
[100] eval-auc:0.703538 train-auc:0.760954
[101] eval-auc:0.70356 train-auc:0.760978
[102] eval-auc:0.703869 train-auc:0.761554
[103] eval-auc:0.703604 train-auc:0.761715
[104] eval-auc:0.704134 train-auc:0.762145
[105] eval-auc:0.704031 train-auc:0.7628
[106] eval-auc:0.70408 train-auc:0.763436
[107] eval-auc:0.704268 train-auc:0.763859
[108] eval-auc:0.704992 train-auc:0.763949
[109] eval-auc:0.705423 train-auc:0.764878
[110] eval-auc:0.705838 train-auc:0.765155
[111] eval-auc:0.706234 train-auc:0.765788
[112] eval-auc:0.706722 train-auc:0.766307
[113] eval-auc:0.706544 train-auc:0.766953
[114] eval-auc:0.70625 train-auc:0.767183
[115] eval-auc:0.706267 train-auc:0.76735
[116] eval-auc:0.705397 train-auc:0.768395
[117] eval-auc:0.705561 train-auc:0.768733
[118] eval-auc:0.705459 train-auc:0.769104
[119] eval-auc:0.705169 train-auc:0.770046
[120] eval-auc:0.705295 train-auc:0.770954
[121] eval-auc:0.705296 train-auc:0.771618
[122] eval-auc:0.705742 train-auc:0.773053
Score 0.7057423954488422
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 1.0, 'eta': 0.07500000000000001, 'eval_metric': 'auc', 'gamma': 1.0, 'max_depth': 2, 'min_child_weight': 2.0, 'n_estimators': 203.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.669332 train-auc:0.690256
[1] eval-auc:0.669332 train-auc:0.690256
[2] eval-auc:0.696196 train-auc:0.712004
[3] eval-auc:0.696196 train-auc:0.712004
[4] eval-auc:0.698311 train-auc:0.713349
[5] eval-auc:0.698311 train-auc:0.713349
[6] eval-auc:0.700704 train-auc:0.716667
[7] eval-auc:0.700346 train-auc:0.718183
[8] eval-auc:0.700422 train-auc:0.71831
[9] eval-auc:0.700422 train-auc:0.71831
[10] eval-auc:0.700326 train-auc:0.718365
[11] eval-auc:0.700234 train-auc:0.71829
[12] eval-auc:0.698198 train-auc:0.716309
[13] eval-auc:0.698198 train-auc:0.71631
[14] eval-auc:0.700433 train-auc:0.719294
[15] eval-auc:0.69983 train-auc:0.720839
[16] eval-auc:0.704761 train-auc:0.724167
[17] eval-auc:0.701199 train-auc:0.722949
[18] eval-auc:0.701432 train-auc:0.721009
[19] eval-auc:0.70602 train-auc:0.723597
[20] eval-auc:0.702462 train-auc:0.721861
[21] eval-auc:0.704935 train-auc:0.725342
[22] eval-auc:0.702406 train-auc:0.724101
[23] eval-auc:0.702109 train-auc:0.722485
[24] eval-auc:0.705683 train-auc:0.725005
[25] eval-auc:0.701934 train-auc:0.722312
[26] eval-auc:0.699683 train-auc:0.720289
[27] eval-auc:0.703653 train-auc:0.722516
[28] eval-auc:0.70028 train-auc:0.722513
[29] eval-auc:0.697771 train-auc:0.720723
[30] eval-auc:0.69737 train-auc:0.723784
[31] eval-auc:0.700905 train-auc:0.725638
[32] eval-auc:0.698832 train-auc:0.725475
[33] eval-auc:0.700226 train-auc:0.725772
[34] eval-auc:0.700229 train-auc:0.72634
[35] eval-auc:0.699522 train-auc:0.726784
[36] eval-auc:0.699798 train-auc:0.727665
[37] eval-auc:0.701289 train-auc:0.728075
[38] eval-auc:0.699725 train-auc:0.728509
[39] eval-auc:0.701352 train-auc:0.728593
[40] eval-auc:0.702685 train-auc:0.729261
[41] eval-auc:0.701288 train-auc:0.729889
[42] eval-auc:0.700171 train-auc:0.727901
[43] eval-auc:0.700353 train-auc:0.728001
[44] eval-auc:0.703081 train-auc:0.729698
[45] eval-auc:0.703602 train-auc:0.730289
[46] eval-auc:0.705158 train-auc:0.730576
[47] eval-auc:0.705572 train-auc:0.730582
[48] eval-auc:0.70664 train-auc:0.731791
[49] eval-auc:0.707124 train-auc:0.732469
[50] eval-auc:0.706942 train-auc:0.732335
[51] eval-auc:0.706974 train-auc:0.732609
[52] eval-auc:0.707045 train-auc:0.732758
[53] eval-auc:0.706232 train-auc:0.733042
[54] eval-auc:0.707276 train-auc:0.734067
[55] eval-auc:0.707178 train-auc:0.734289
[56] eval-auc:0.70758 train-auc:0.734639
[57] eval-auc:0.708156 train-auc:0.734425
[58] eval-auc:0.708196 train-auc:0.734557
[59] eval-auc:0.707341 train-auc:0.734407
[60] eval-auc:0.707857 train-auc:0.735007
[61] eval-auc:0.707287 train-auc:0.734294
[62] eval-auc:0.707622 train-auc:0.734505
[63] eval-auc:0.707529 train-auc:0.734632
[64] eval-auc:0.707832 train-auc:0.734662
[65] eval-auc:0.708228 train-auc:0.734909
[66] eval-auc:0.709014 train-auc:0.735635
[67] eval-auc:0.708898 train-auc:0.735844
[68] eval-auc:0.708942 train-auc:0.735908
[69] eval-auc:0.709019 train-auc:0.736044
[70] eval-auc:0.708515 train-auc:0.736244
[71] eval-auc:0.708685 train-auc:0.736295
[72] eval-auc:0.708745 train-auc:0.736775
[73] eval-auc:0.70854 train-auc:0.737147
[74] eval-auc:0.709117 train-auc:0.73726
[75] eval-auc:0.709113 train-auc:0.73767
[76] eval-auc:0.709163 train-auc:0.737907
[77] eval-auc:0.709175 train-auc:0.738061
[78] eval-auc:0.708865 train-auc:0.738345
[79] eval-auc:0.708928 train-auc:0.738784
[80] eval-auc:0.709192 train-auc:0.739068
[81] eval-auc:0.708813 train-auc:0.73916
[82] eval-auc:0.709153 train-auc:0.739301
[83] eval-auc:0.70787 train-auc:0.740603
[84] eval-auc:0.707927 train-auc:0.741199
[85] eval-auc:0.707505 train-auc:0.740327
[86] eval-auc:0.70789 train-auc:0.740355
[87] eval-auc:0.708358 train-auc:0.741089
[88] eval-auc:0.708326 train-auc:0.741325
[89] eval-auc:0.708368 train-auc:0.741416
[90] eval-auc:0.708582 train-auc:0.741863
[91] eval-auc:0.708598 train-auc:0.74222
[92] eval-auc:0.708963 train-auc:0.743666
[93] eval-auc:0.70898 train-auc:0.743936
[94] eval-auc:0.708926 train-auc:0.744888
[95] eval-auc:0.709 train-auc:0.745154
[96] eval-auc:0.709215 train-auc:0.745567
[97] eval-auc:0.709413 train-auc:0.746174
[98] eval-auc:0.709576 train-auc:0.746364
[99] eval-auc:0.709914 train-auc:0.746781
[100] eval-auc:0.709931 train-auc:0.746988
[101] eval-auc:0.710145 train-auc:0.747325
[102] eval-auc:0.709641 train-auc:0.747396
[103] eval-auc:0.709704 train-auc:0.747758
[104] eval-auc:0.709838 train-auc:0.748196
[105] eval-auc:0.710258 train-auc:0.749256
[106] eval-auc:0.710555 train-auc:0.749848
[107] eval-auc:0.7101 train-auc:0.750688
[108] eval-auc:0.709556 train-auc:0.750471
[109] eval-auc:0.709209 train-auc:0.750374
[110] eval-auc:0.709367 train-auc:0.749962
[111] eval-auc:0.709565 train-auc:0.749983
[112] eval-auc:0.709695 train-auc:0.750206
[113] eval-auc:0.710065 train-auc:0.751035
[114] eval-auc:0.709756 train-auc:0.751766
[115] eval-auc:0.709859 train-auc:0.75204
[116] eval-auc:0.709445 train-auc:0.752837
[117] eval-auc:0.709679 train-auc:0.75333
[118] eval-auc:0.709663 train-auc:0.753576
[119] eval-auc:0.709667 train-auc:0.753699
[120] eval-auc:0.709596 train-auc:0.754087
[121] eval-auc:0.710436 train-auc:0.754539
[122] eval-auc:0.710608 train-auc:0.754719
[123] eval-auc:0.710759 train-auc:0.755002
[124] eval-auc:0.711102 train-auc:0.755603
[125] eval-auc:0.710046 train-auc:0.756263
[126] eval-auc:0.709686 train-auc:0.756856
[127] eval-auc:0.70886 train-auc:0.757661
[128] eval-auc:0.708869 train-auc:0.757729
[129] eval-auc:0.708978 train-auc:0.75808
[130] eval-auc:0.70894 train-auc:0.758301
[131] eval-auc:0.708132 train-auc:0.75881
[132] eval-auc:0.708474 train-auc:0.759311
[133] eval-auc:0.708629 train-auc:0.759461
[134] eval-auc:0.708439 train-auc:0.760094
[135] eval-auc:0.709049 train-auc:0.760526
[136] eval-auc:0.70906 train-auc:0.760567
[137] eval-auc:0.708469 train-auc:0.760605
[138] eval-auc:0.708138 train-auc:0.760713
[139] eval-auc:0.708351 train-auc:0.761044
[140] eval-auc:0.708889 train-auc:0.761456
[141] eval-auc:0.70885 train-auc:0.76164
[142] eval-auc:0.709183 train-auc:0.761888
[143] eval-auc:0.709032 train-auc:0.762348
[144] eval-auc:0.709123 train-auc:0.762631
[145] eval-auc:0.709172 train-auc:0.763002
[146] eval-auc:0.709378 train-auc:0.763364
[147] eval-auc:0.709602 train-auc:0.76358
[148] eval-auc:0.709567 train-auc:0.764079
[149] eval-auc:0.709664 train-auc:0.764296
[150] eval-auc:0.709675 train-auc:0.764318
[151] eval-auc:0.70983 train-auc:0.764636
[152] eval-auc:0.709972 train-auc:0.764769
[153] eval-auc:0.709978 train-auc:0.764781
[154] eval-auc:0.709976 train-auc:0.765049
[155] eval-auc:0.710016 train-auc:0.76548
[156] eval-auc:0.709809 train-auc:0.766009
[157] eval-auc:0.709746 train-auc:0.766191
[158] eval-auc:0.709877 train-auc:0.766282
[159] eval-auc:0.709915 train-auc:0.766406
[160] eval-auc:0.710038 train-auc:0.766517
[161] eval-auc:0.709239 train-auc:0.766894
[162] eval-auc:0.709359 train-auc:0.767137
[163] eval-auc:0.709395 train-auc:0.76718
[164] eval-auc:0.708839 train-auc:0.767915
[165] eval-auc:0.708769 train-auc:0.768232
[166] eval-auc:0.708569 train-auc:0.768674
[167] eval-auc:0.709199 train-auc:0.769402
[168] eval-auc:0.709408 train-auc:0.76966
[169] eval-auc:0.709898 train-auc:0.769978
[170] eval-auc:0.709998 train-auc:0.77066
[171] eval-auc:0.710256 train-auc:0.771521
[172] eval-auc:0.710198 train-auc:0.77169
[173] eval-auc:0.710331 train-auc:0.771946
[174] eval-auc:0.710601 train-auc:0.772183
[175] eval-auc:0.710174 train-auc:0.771763
[176] eval-auc:0.709996 train-auc:0.772181
[177] eval-auc:0.710318 train-auc:0.772533
[178] eval-auc:0.710378 train-auc:0.772848
[179] eval-auc:0.710387 train-auc:0.773412
[180] eval-auc:0.710382 train-auc:0.773629
[181] eval-auc:0.710438 train-auc:0.773678
[182] eval-auc:0.710492 train-auc:0.77403
[183] eval-auc:0.710612 train-auc:0.774387
[184] eval-auc:0.710694 train-auc:0.774486
[185] eval-auc:0.710855 train-auc:0.774795
[186] eval-auc:0.710856 train-auc:0.774808
[187] eval-auc:0.710802 train-auc:0.774975
[188] eval-auc:0.71045 train-auc:0.775638
[189] eval-auc:0.710253 train-auc:0.775986
[190] eval-auc:0.710267 train-auc:0.776341
[191] eval-auc:0.710269 train-auc:0.776596
[192] eval-auc:0.710244 train-auc:0.776711
[193] eval-auc:0.710892 train-auc:0.777592
[194] eval-auc:0.710961 train-auc:0.777761
[195] eval-auc:0.71111 train-auc:0.778211
[196] eval-auc:0.71115 train-auc:0.778257
[197] eval-auc:0.711029 train-auc:0.778428
[198] eval-auc:0.711317 train-auc:0.778899
[199] eval-auc:0.710868 train-auc:0.779434
[200] eval-auc:0.711083 train-auc:0.77953
[201] eval-auc:0.711217 train-auc:0.779705
[202] eval-auc:0.711322 train-auc:0.779972
Score 0.7113217057096566
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 1.0, 'eta': 0.05, 'eval_metric': 'auc', 'gamma': 1.0, 'max_depth': 2, 'min_child_weight': 1.0, 'n_estimators': 138.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.669332 train-auc:0.690256
[1] eval-auc:0.669332 train-auc:0.690256
[2] eval-auc:0.669332 train-auc:0.690256
[3] eval-auc:0.696196 train-auc:0.712004
[4] eval-auc:0.696196 train-auc:0.712004
[5] eval-auc:0.696196 train-auc:0.712004
[6] eval-auc:0.697351 train-auc:0.712657
[7] eval-auc:0.697351 train-auc:0.712657
[8] eval-auc:0.698311 train-auc:0.713349
[9] eval-auc:0.698311 train-auc:0.713349
[10] eval-auc:0.700924 train-auc:0.716899
[11] eval-auc:0.700602 train-auc:0.718419
[12] eval-auc:0.700602 train-auc:0.71957
[13] eval-auc:0.700602 train-auc:0.71957
[14] eval-auc:0.700602 train-auc:0.71957
[15] eval-auc:0.69917 train-auc:0.719187
[16] eval-auc:0.699343 train-auc:0.718314
[17] eval-auc:0.69893 train-auc:0.718373
[18] eval-auc:0.69894 train-auc:0.718356
[19] eval-auc:0.698934 train-auc:0.716897
[20] eval-auc:0.698974 train-auc:0.716971
[21] eval-auc:0.700883 train-auc:0.719202
[22] eval-auc:0.700152 train-auc:0.720385
[23] eval-auc:0.700477 train-auc:0.721085
[24] eval-auc:0.705356 train-auc:0.723444
[25] eval-auc:0.701192 train-auc:0.72206
[26] eval-auc:0.7052 train-auc:0.724714
[27] eval-auc:0.700061 train-auc:0.723046
[28] eval-auc:0.701403 train-auc:0.721619
[29] eval-auc:0.705581 train-auc:0.723512
[30] eval-auc:0.701503 train-auc:0.722619
[31] eval-auc:0.700908 train-auc:0.72107
[32] eval-auc:0.705208 train-auc:0.723846
[33] eval-auc:0.701902 train-auc:0.721881
[34] eval-auc:0.705769 train-auc:0.724733
[35] eval-auc:0.702402 train-auc:0.723503
[36] eval-auc:0.702349 train-auc:0.722118
[37] eval-auc:0.705409 train-auc:0.72435
[38] eval-auc:0.700168 train-auc:0.722181
[39] eval-auc:0.699962 train-auc:0.722353
[40] eval-auc:0.70056 train-auc:0.723943
[41] eval-auc:0.699512 train-auc:0.722454
[42] eval-auc:0.701166 train-auc:0.724513
[43] eval-auc:0.701621 train-auc:0.723456
[44] eval-auc:0.701164 train-auc:0.725722
[45] eval-auc:0.701759 train-auc:0.725896
[46] eval-auc:0.700261 train-auc:0.727031
[47] eval-auc:0.698794 train-auc:0.725189
[48] eval-auc:0.69961 train-auc:0.726205
[49] eval-auc:0.701529 train-auc:0.726215
[50] eval-auc:0.700104 train-auc:0.726894
[51] eval-auc:0.700356 train-auc:0.727192
[52] eval-auc:0.699909 train-auc:0.72762
[53] eval-auc:0.698773 train-auc:0.727972
[54] eval-auc:0.698089 train-auc:0.726916
[55] eval-auc:0.698765 train-auc:0.727256
[56] eval-auc:0.699094 train-auc:0.728021
[57] eval-auc:0.700602 train-auc:0.728
[58] eval-auc:0.700918 train-auc:0.728196
[59] eval-auc:0.70129 train-auc:0.728126
[60] eval-auc:0.701427 train-auc:0.727817
[61] eval-auc:0.701022 train-auc:0.728139
[62] eval-auc:0.70106 train-auc:0.728852
[63] eval-auc:0.699705 train-auc:0.728896
[64] eval-auc:0.702137 train-auc:0.730355
[65] eval-auc:0.703506 train-auc:0.730607
[66] eval-auc:0.703528 train-auc:0.730764
[67] eval-auc:0.702199 train-auc:0.731086
[68] eval-auc:0.702574 train-auc:0.731188
[69] eval-auc:0.703478 train-auc:0.73128
[70] eval-auc:0.703745 train-auc:0.731672
[71] eval-auc:0.704244 train-auc:0.731645
[72] eval-auc:0.704976 train-auc:0.731934
[73] eval-auc:0.704171 train-auc:0.732098
[74] eval-auc:0.704823 train-auc:0.732098
[75] eval-auc:0.704319 train-auc:0.732724
[76] eval-auc:0.703856 train-auc:0.732065
[77] eval-auc:0.704916 train-auc:0.732684
[78] eval-auc:0.70506 train-auc:0.732773
[79] eval-auc:0.704622 train-auc:0.732797
[80] eval-auc:0.705107 train-auc:0.732936
[81] eval-auc:0.705463 train-auc:0.733001
[82] eval-auc:0.706338 train-auc:0.733803
[83] eval-auc:0.706387 train-auc:0.73403
[84] eval-auc:0.706543 train-auc:0.73378
[85] eval-auc:0.706464 train-auc:0.733976
[86] eval-auc:0.706764 train-auc:0.734109
[87] eval-auc:0.70695 train-auc:0.734651
[88] eval-auc:0.707102 train-auc:0.73477
[89] eval-auc:0.706679 train-auc:0.734674
[90] eval-auc:0.706889 train-auc:0.734599
[91] eval-auc:0.706875 train-auc:0.734898
[92] eval-auc:0.706571 train-auc:0.734512
[93] eval-auc:0.706769 train-auc:0.73456
[94] eval-auc:0.707079 train-auc:0.734622
[95] eval-auc:0.70751 train-auc:0.73502
[96] eval-auc:0.707766 train-auc:0.735016
[97] eval-auc:0.707803 train-auc:0.734999
[98] eval-auc:0.707861 train-auc:0.735122
[99] eval-auc:0.708035 train-auc:0.735386
[100] eval-auc:0.708234 train-auc:0.735634
[101] eval-auc:0.707926 train-auc:0.735825
[102] eval-auc:0.708183 train-auc:0.735934
[103] eval-auc:0.708236 train-auc:0.736262
[104] eval-auc:0.707723 train-auc:0.735611
[105] eval-auc:0.707922 train-auc:0.735541
[106] eval-auc:0.707974 train-auc:0.735622
[107] eval-auc:0.707823 train-auc:0.735903
[108] eval-auc:0.70803 train-auc:0.736351
[109] eval-auc:0.708504 train-auc:0.736708
[110] eval-auc:0.708399 train-auc:0.736848
[111] eval-auc:0.70861 train-auc:0.736897
[112] eval-auc:0.708327 train-auc:0.736895
[113] eval-auc:0.70854 train-auc:0.736967
[114] eval-auc:0.708586 train-auc:0.737071
[115] eval-auc:0.708349 train-auc:0.737284
[116] eval-auc:0.708502 train-auc:0.737593
[117] eval-auc:0.708422 train-auc:0.73825
[118] eval-auc:0.708484 train-auc:0.738403
[119] eval-auc:0.708575 train-auc:0.738936
[120] eval-auc:0.708347 train-auc:0.738217
[121] eval-auc:0.708391 train-auc:0.738382
[122] eval-auc:0.708665 train-auc:0.738804
[123] eval-auc:0.708547 train-auc:0.738936
[124] eval-auc:0.708775 train-auc:0.740147
[125] eval-auc:0.708055 train-auc:0.740999
[126] eval-auc:0.708086 train-auc:0.741175
[127] eval-auc:0.708276 train-auc:0.741469
[128] eval-auc:0.70861 train-auc:0.741724
[129] eval-auc:0.708998 train-auc:0.742074
[130] eval-auc:0.708748 train-auc:0.743128
[131] eval-auc:0.708684 train-auc:0.743787
[132] eval-auc:0.708862 train-auc:0.743919
[133] eval-auc:0.708429 train-auc:0.743817
[134] eval-auc:0.70862 train-auc:0.743957
[135] eval-auc:0.708659 train-auc:0.743901
[136] eval-auc:0.708566 train-auc:0.7443
[137] eval-auc:0.708403 train-auc:0.74402
Score 0.7084033792590969
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 1.0, 'eta': 0.025, 'eval_metric': 'auc', 'gamma': 1.0, 'max_depth': 2, 'min_child_weight': 2.0, 'n_estimators': 198.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.669332 train-auc:0.690256
[1] eval-auc:0.669332 train-auc:0.690256
[2] eval-auc:0.669332 train-auc:0.690256
[3] eval-auc:0.669332 train-auc:0.690256
[4] eval-auc:0.669332 train-auc:0.690256
[5] eval-auc:0.669332 train-auc:0.690256
[6] eval-auc:0.699302 train-auc:0.713646
[7] eval-auc:0.699302 train-auc:0.713646
[8] eval-auc:0.696196 train-auc:0.712004
[9] eval-auc:0.696196 train-auc:0.712004
[10] eval-auc:0.696196 train-auc:0.712004
[11] eval-auc:0.696196 train-auc:0.712004
[12] eval-auc:0.697269 train-auc:0.7126
[13] eval-auc:0.697269 train-auc:0.7126
[14] eval-auc:0.697351 train-auc:0.712657
[15] eval-auc:0.697269 train-auc:0.7126
[16] eval-auc:0.698311 train-auc:0.713349
[17] eval-auc:0.698311 train-auc:0.713349
[18] eval-auc:0.700924 train-auc:0.716899
[19] eval-auc:0.700924 train-auc:0.716899
[20] eval-auc:0.700602 train-auc:0.718426
[21] eval-auc:0.700602 train-auc:0.718426
[22] eval-auc:0.700602 train-auc:0.71957
[23] eval-auc:0.699533 train-auc:0.719364
[24] eval-auc:0.699533 train-auc:0.719364
[25] eval-auc:0.699726 train-auc:0.719382
[26] eval-auc:0.699726 train-auc:0.719382
[27] eval-auc:0.699726 train-auc:0.719382
[28] eval-auc:0.699726 train-auc:0.719382
[29] eval-auc:0.700526 train-auc:0.719494
[30] eval-auc:0.700208 train-auc:0.719344
[31] eval-auc:0.700208 train-auc:0.719344
[32] eval-auc:0.700222 train-auc:0.71937
[33] eval-auc:0.699153 train-auc:0.719164
[34] eval-auc:0.698872 train-auc:0.718455
[35] eval-auc:0.699956 train-auc:0.71855
[36] eval-auc:0.699956 train-auc:0.71855
[37] eval-auc:0.700155 train-auc:0.718604
[38] eval-auc:0.697951 train-auc:0.716732
[39] eval-auc:0.697951 train-auc:0.716759
[40] eval-auc:0.699385 train-auc:0.718535
[41] eval-auc:0.699373 train-auc:0.719311
[42] eval-auc:0.699886 train-auc:0.720011
[43] eval-auc:0.699645 train-auc:0.720037
[44] eval-auc:0.699773 train-auc:0.720526
[45] eval-auc:0.70028 train-auc:0.720603
[46] eval-auc:0.704774 train-auc:0.723108
[47] eval-auc:0.701019 train-auc:0.721935
[48] eval-auc:0.701023 train-auc:0.722286
[49] eval-auc:0.700867 train-auc:0.72208
[50] eval-auc:0.70103 train-auc:0.722466
[51] eval-auc:0.701086 train-auc:0.722596
[52] eval-auc:0.701112 train-auc:0.722716
[53] eval-auc:0.701438 train-auc:0.723104
[54] eval-auc:0.70161 train-auc:0.723589
[55] eval-auc:0.701509 train-auc:0.723338
[56] eval-auc:0.701652 train-auc:0.723111
[57] eval-auc:0.701433 train-auc:0.72326
[58] eval-auc:0.7009 train-auc:0.723083
[59] eval-auc:0.700813 train-auc:0.723006
[60] eval-auc:0.701654 train-auc:0.722791
[61] eval-auc:0.701432 train-auc:0.722703
[62] eval-auc:0.700538 train-auc:0.721169
[63] eval-auc:0.700256 train-auc:0.721202
[64] eval-auc:0.701457 train-auc:0.722701
[65] eval-auc:0.701805 train-auc:0.723826
[66] eval-auc:0.702279 train-auc:0.723629
[67] eval-auc:0.701225 train-auc:0.721819
[68] eval-auc:0.701732 train-auc:0.722249
[69] eval-auc:0.701338 train-auc:0.723367
[70] eval-auc:0.701522 train-auc:0.722954
[71] eval-auc:0.702177 train-auc:0.722858
[72] eval-auc:0.705416 train-auc:0.725758
[73] eval-auc:0.701894 train-auc:0.723731
[74] eval-auc:0.699878 train-auc:0.721431
[75] eval-auc:0.700545 train-auc:0.722719
[76] eval-auc:0.703023 train-auc:0.723589
[77] eval-auc:0.699345 train-auc:0.721317
[78] eval-auc:0.699428 train-auc:0.721932
[79] eval-auc:0.700854 train-auc:0.7242
[80] eval-auc:0.699254 train-auc:0.722593
[81] eval-auc:0.700646 train-auc:0.724427
[82] eval-auc:0.699507 train-auc:0.72235
[83] eval-auc:0.698745 train-auc:0.721865
[84] eval-auc:0.700066 train-auc:0.723743
[85] eval-auc:0.702299 train-auc:0.724032
[86] eval-auc:0.700256 train-auc:0.724477
[87] eval-auc:0.699956 train-auc:0.723553
[88] eval-auc:0.69998 train-auc:0.723982
[89] eval-auc:0.701355 train-auc:0.724207
[90] eval-auc:0.700729 train-auc:0.725502
[91] eval-auc:0.701047 train-auc:0.725389
[92] eval-auc:0.700085 train-auc:0.725922
[93] eval-auc:0.70049 train-auc:0.725445
[94] eval-auc:0.700508 train-auc:0.725842
[95] eval-auc:0.700493 train-auc:0.726279
[96] eval-auc:0.700356 train-auc:0.726387
[97] eval-auc:0.699768 train-auc:0.725466
[98] eval-auc:0.7002 train-auc:0.726003
[99] eval-auc:0.700589 train-auc:0.726345
[100] eval-auc:0.700392 train-auc:0.726826
[101] eval-auc:0.700108 train-auc:0.727267
[102] eval-auc:0.70006 train-auc:0.727176
[103] eval-auc:0.699738 train-auc:0.72734
[104] eval-auc:0.70009 train-auc:0.727484
[105] eval-auc:0.700034 train-auc:0.727439
[106] eval-auc:0.699651 train-auc:0.72767
[107] eval-auc:0.699425 train-auc:0.727814
[108] eval-auc:0.699161 train-auc:0.727516
[109] eval-auc:0.699647 train-auc:0.727609
[110] eval-auc:0.699522 train-auc:0.727819
[111] eval-auc:0.699798 train-auc:0.728049
[112] eval-auc:0.70025 train-auc:0.728326
[113] eval-auc:0.700691 train-auc:0.728516
[114] eval-auc:0.700902 train-auc:0.728714
[115] eval-auc:0.70128 train-auc:0.728849
[116] eval-auc:0.701095 train-auc:0.728925
[117] eval-auc:0.700998 train-auc:0.728942
[118] eval-auc:0.701171 train-auc:0.729144
[119] eval-auc:0.701625 train-auc:0.728965
[120] eval-auc:0.701744 train-auc:0.728684
[121] eval-auc:0.700507 train-auc:0.728823
[122] eval-auc:0.701412 train-auc:0.728944
[123] eval-auc:0.701708 train-auc:0.729506
[124] eval-auc:0.700742 train-auc:0.729598
[125] eval-auc:0.701292 train-auc:0.729692
[126] eval-auc:0.702607 train-auc:0.729425
[127] eval-auc:0.701614 train-auc:0.72968
[128] eval-auc:0.70094 train-auc:0.729764
[129] eval-auc:0.702289 train-auc:0.730808
[130] eval-auc:0.702698 train-auc:0.730866
[131] eval-auc:0.702205 train-auc:0.730756
[132] eval-auc:0.702385 train-auc:0.731048
[133] eval-auc:0.703011 train-auc:0.731633
[134] eval-auc:0.703232 train-auc:0.731638
[135] eval-auc:0.703017 train-auc:0.731602
[136] eval-auc:0.703154 train-auc:0.731592
[137] eval-auc:0.702808 train-auc:0.731613
[138] eval-auc:0.703604 train-auc:0.732063
[139] eval-auc:0.703036 train-auc:0.731913
[140] eval-auc:0.702785 train-auc:0.731658
[141] eval-auc:0.702858 train-auc:0.731664
[142] eval-auc:0.703155 train-auc:0.73196
[143] eval-auc:0.703746 train-auc:0.732223
[144] eval-auc:0.703916 train-auc:0.732284
[145] eval-auc:0.704568 train-auc:0.732521
[146] eval-auc:0.704714 train-auc:0.73247
[147] eval-auc:0.704785 train-auc:0.732479
[148] eval-auc:0.704325 train-auc:0.732423
[149] eval-auc:0.704304 train-auc:0.732164
[150] eval-auc:0.704861 train-auc:0.732389
[151] eval-auc:0.705088 train-auc:0.732469
[152] eval-auc:0.705059 train-auc:0.732534
[153] eval-auc:0.705382 train-auc:0.732618
[154] eval-auc:0.705653 train-auc:0.73268
[155] eval-auc:0.706091 train-auc:0.732942
[156] eval-auc:0.705901 train-auc:0.733068
[157] eval-auc:0.706204 train-auc:0.733098
[158] eval-auc:0.705956 train-auc:0.733085
[159] eval-auc:0.705762 train-auc:0.732934
[160] eval-auc:0.705703 train-auc:0.733068
[161] eval-auc:0.705646 train-auc:0.733084
[162] eval-auc:0.706219 train-auc:0.733589
[163] eval-auc:0.706387 train-auc:0.733661
[164] eval-auc:0.706441 train-auc:0.733719
[165] eval-auc:0.706294 train-auc:0.73345
[166] eval-auc:0.706452 train-auc:0.73355
[167] eval-auc:0.706557 train-auc:0.733643
[168] eval-auc:0.706939 train-auc:0.734173
[169] eval-auc:0.706967 train-auc:0.734243
[170] eval-auc:0.707241 train-auc:0.734209
[171] eval-auc:0.707311 train-auc:0.734219
[172] eval-auc:0.706903 train-auc:0.734247
[173] eval-auc:0.706679 train-auc:0.734004
[174] eval-auc:0.707192 train-auc:0.734148
[175] eval-auc:0.707195 train-auc:0.734196
[176] eval-auc:0.707131 train-auc:0.734261
[177] eval-auc:0.707152 train-auc:0.734174
[178] eval-auc:0.707186 train-auc:0.734273
[179] eval-auc:0.707646 train-auc:0.73456
[180] eval-auc:0.707623 train-auc:0.734603
[181] eval-auc:0.707632 train-auc:0.734577
[182] eval-auc:0.707596 train-auc:0.734534
[183] eval-auc:0.707728 train-auc:0.734841
[184] eval-auc:0.707736 train-auc:0.734731
[185] eval-auc:0.707416 train-auc:0.734607
[186] eval-auc:0.70716 train-auc:0.73443
[187] eval-auc:0.70728 train-auc:0.734349
[188] eval-auc:0.707506 train-auc:0.734546
[189] eval-auc:0.707655 train-auc:0.734659
[190] eval-auc:0.707723 train-auc:0.734709
[191] eval-auc:0.707943 train-auc:0.735047
[192] eval-auc:0.708077 train-auc:0.735057
[193] eval-auc:0.708308 train-auc:0.735283
[194] eval-auc:0.708383 train-auc:0.735309
[195] eval-auc:0.708339 train-auc:0.73541
[196] eval-auc:0.708485 train-auc:0.735433
[197] eval-auc:0.708482 train-auc:0.735474
Score 0.7084818002412017
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9500000000000001, 'eta': 0.125, 'eval_metric': 'auc', 'gamma': 0.9500000000000001, 'max_depth': 2, 'min_child_weight': 2.0, 'n_estimators': 171.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.669332 train-auc:0.690256
[1] eval-auc:0.68113 train-auc:0.69571
[2] eval-auc:0.683472 train-auc:0.697324
[3] eval-auc:0.684527 train-auc:0.697481
[4] eval-auc:0.703525 train-auc:0.709879
[5] eval-auc:0.702445 train-auc:0.70918
[6] eval-auc:0.701396 train-auc:0.707912
[7] eval-auc:0.700573 train-auc:0.709477
[8] eval-auc:0.700574 train-auc:0.71082
[9] eval-auc:0.698796 train-auc:0.711583
[10] eval-auc:0.698768 train-auc:0.711855
[11] eval-auc:0.69944 train-auc:0.712535
[12] eval-auc:0.699182 train-auc:0.713404
[13] eval-auc:0.699942 train-auc:0.713732
[14] eval-auc:0.699723 train-auc:0.715996
[15] eval-auc:0.703398 train-auc:0.720892
[16] eval-auc:0.700466 train-auc:0.719806
[17] eval-auc:0.705258 train-auc:0.722894
[18] eval-auc:0.704845 train-auc:0.72651
[19] eval-auc:0.702384 train-auc:0.72547
[20] eval-auc:0.700811 train-auc:0.723489
[21] eval-auc:0.700154 train-auc:0.724757
[22] eval-auc:0.701694 train-auc:0.725885
[23] eval-auc:0.704191 train-auc:0.728047
[24] eval-auc:0.703764 train-auc:0.728362
[25] eval-auc:0.703509 train-auc:0.729648
[26] eval-auc:0.705183 train-auc:0.730972
[27] eval-auc:0.704924 train-auc:0.731444
[28] eval-auc:0.704903 train-auc:0.73236
[29] eval-auc:0.703801 train-auc:0.732611
[30] eval-auc:0.705039 train-auc:0.732902
[31] eval-auc:0.705665 train-auc:0.733833
[32] eval-auc:0.707286 train-auc:0.735299
[33] eval-auc:0.707523 train-auc:0.735717
[34] eval-auc:0.706072 train-auc:0.734409
[35] eval-auc:0.707231 train-auc:0.735143
[36] eval-auc:0.707493 train-auc:0.735461
[37] eval-auc:0.707488 train-auc:0.735835
[38] eval-auc:0.70876 train-auc:0.736663
[39] eval-auc:0.708883 train-auc:0.736861
[40] eval-auc:0.709041 train-auc:0.73679
[41] eval-auc:0.708443 train-auc:0.736931
[42] eval-auc:0.708539 train-auc:0.737877
[43] eval-auc:0.708101 train-auc:0.738348
[44] eval-auc:0.708795 train-auc:0.738802
[45] eval-auc:0.708439 train-auc:0.738369
[46] eval-auc:0.707644 train-auc:0.73725
[47] eval-auc:0.708069 train-auc:0.737997
[48] eval-auc:0.708975 train-auc:0.739178
[49] eval-auc:0.709265 train-auc:0.739218
[50] eval-auc:0.709303 train-auc:0.739635
[51] eval-auc:0.709287 train-auc:0.740071
[52] eval-auc:0.709865 train-auc:0.742183
[53] eval-auc:0.710502 train-auc:0.742668
[54] eval-auc:0.71108 train-auc:0.743199
[55] eval-auc:0.711295 train-auc:0.743989
[56] eval-auc:0.71156 train-auc:0.744642
[57] eval-auc:0.710167 train-auc:0.74653
[58] eval-auc:0.710099 train-auc:0.746823
[59] eval-auc:0.710847 train-auc:0.748491
[60] eval-auc:0.712069 train-auc:0.749407
[61] eval-auc:0.712287 train-auc:0.749813
[62] eval-auc:0.712544 train-auc:0.750179
[63] eval-auc:0.712624 train-auc:0.750847
[64] eval-auc:0.712538 train-auc:0.75102
[65] eval-auc:0.712579 train-auc:0.751432
[66] eval-auc:0.711964 train-auc:0.752659
[67] eval-auc:0.712424 train-auc:0.753007
[68] eval-auc:0.712854 train-auc:0.753887
[69] eval-auc:0.712864 train-auc:0.753997
[70] eval-auc:0.713179 train-auc:0.753459
[71] eval-auc:0.71222 train-auc:0.753576
[72] eval-auc:0.711758 train-auc:0.753876
[73] eval-auc:0.711775 train-auc:0.754348
[74] eval-auc:0.712475 train-auc:0.755339
[75] eval-auc:0.710736 train-auc:0.756294
[76] eval-auc:0.710455 train-auc:0.757483
[77] eval-auc:0.710844 train-auc:0.758031
[78] eval-auc:0.711134 train-auc:0.758344
[79] eval-auc:0.710759 train-auc:0.759471
[80] eval-auc:0.710742 train-auc:0.759785
[81] eval-auc:0.710799 train-auc:0.761094
[82] eval-auc:0.711369 train-auc:0.761342
[83] eval-auc:0.711381 train-auc:0.761405
[84] eval-auc:0.710076 train-auc:0.762057
[85] eval-auc:0.710155 train-auc:0.762379
[86] eval-auc:0.710426 train-auc:0.763492
[87] eval-auc:0.710828 train-auc:0.764106
[88] eval-auc:0.710428 train-auc:0.764788
[89] eval-auc:0.710174 train-auc:0.765208
[90] eval-auc:0.709321 train-auc:0.765534
[91] eval-auc:0.70919 train-auc:0.765931
[92] eval-auc:0.709411 train-auc:0.766821
[93] eval-auc:0.709564 train-auc:0.767054
[94] eval-auc:0.709699 train-auc:0.767119
[95] eval-auc:0.709923 train-auc:0.767749
[96] eval-auc:0.708985 train-auc:0.769154
[97] eval-auc:0.708269 train-auc:0.769184
[98] eval-auc:0.708562 train-auc:0.769573
[99] eval-auc:0.708486 train-auc:0.769915
[100] eval-auc:0.708886 train-auc:0.770068
[101] eval-auc:0.708906 train-auc:0.770404
[102] eval-auc:0.708834 train-auc:0.771557
[103] eval-auc:0.708953 train-auc:0.771721
[104] eval-auc:0.709191 train-auc:0.772298
[105] eval-auc:0.709651 train-auc:0.772576
[106] eval-auc:0.710397 train-auc:0.773323
[107] eval-auc:0.710413 train-auc:0.773343
[108] eval-auc:0.710948 train-auc:0.773675
[109] eval-auc:0.710966 train-auc:0.774401
[110] eval-auc:0.711256 train-auc:0.77497
[111] eval-auc:0.711363 train-auc:0.775159
[112] eval-auc:0.71187 train-auc:0.775534
[113] eval-auc:0.711964 train-auc:0.775613
[114] eval-auc:0.711102 train-auc:0.776675
[115] eval-auc:0.710908 train-auc:0.777195
[116] eval-auc:0.710909 train-auc:0.777695
[117] eval-auc:0.710231 train-auc:0.777786
[118] eval-auc:0.710028 train-auc:0.778475
[119] eval-auc:0.710349 train-auc:0.777787
[120] eval-auc:0.71062 train-auc:0.778127
[121] eval-auc:0.710853 train-auc:0.778529
[122] eval-auc:0.711362 train-auc:0.779242
[123] eval-auc:0.711406 train-auc:0.779552
[124] eval-auc:0.712473 train-auc:0.780873
[125] eval-auc:0.712171 train-auc:0.781553
[126] eval-auc:0.712259 train-auc:0.781944
[127] eval-auc:0.712216 train-auc:0.782523
[128] eval-auc:0.712411 train-auc:0.782794
[129] eval-auc:0.712227 train-auc:0.783454
[130] eval-auc:0.712339 train-auc:0.784116
[131] eval-auc:0.712578 train-auc:0.785301
[132] eval-auc:0.7133 train-auc:0.785788
[133] eval-auc:0.713792 train-auc:0.78756
[134] eval-auc:0.71324 train-auc:0.787467
[135] eval-auc:0.713409 train-auc:0.787659
[136] eval-auc:0.713342 train-auc:0.787653
[137] eval-auc:0.713682 train-auc:0.787541
[138] eval-auc:0.713757 train-auc:0.7869
[139] eval-auc:0.714005 train-auc:0.787791
[140] eval-auc:0.714011 train-auc:0.788198
[141] eval-auc:0.714816 train-auc:0.788995
[142] eval-auc:0.714816 train-auc:0.789267
[143] eval-auc:0.714341 train-auc:0.789664
[144] eval-auc:0.714929 train-auc:0.790199
[145] eval-auc:0.714335 train-auc:0.790627
[146] eval-auc:0.713849 train-auc:0.790985
[147] eval-auc:0.713478 train-auc:0.790975
[148] eval-auc:0.712726 train-auc:0.791713
[149] eval-auc:0.712989 train-auc:0.79236
[150] eval-auc:0.713105 train-auc:0.792303
[151] eval-auc:0.713175 train-auc:0.792586
[152] eval-auc:0.712576 train-auc:0.792918
[153] eval-auc:0.712779 train-auc:0.793197
[154] eval-auc:0.713039 train-auc:0.793888
[155] eval-auc:0.713103 train-auc:0.794382
[156] eval-auc:0.713213 train-auc:0.794906
[157] eval-auc:0.713432 train-auc:0.795955
[158] eval-auc:0.712435 train-auc:0.796521
[159] eval-auc:0.71254 train-auc:0.797075
[160] eval-auc:0.712248 train-auc:0.797242
[161] eval-auc:0.711441 train-auc:0.798012
[162] eval-auc:0.711833 train-auc:0.798415
[163] eval-auc:0.711836 train-auc:0.798461
[164] eval-auc:0.7121 train-auc:0.798968
[165] eval-auc:0.712293 train-auc:0.799581
[166] eval-auc:0.711629 train-auc:0.799989
[167] eval-auc:0.711434 train-auc:0.800699
[168] eval-auc:0.711288 train-auc:0.801232
[169] eval-auc:0.710975 train-auc:0.801757
[170] eval-auc:0.710508 train-auc:0.802442
Score 0.7105078025070349
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 1.0, 'eta': 0.125, 'eval_metric': 'auc', 'gamma': 0.9, 'max_depth': 2, 'min_child_weight': 1.0, 'n_estimators': 273.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.669332 train-auc:0.690256
[1] eval-auc:0.669332 train-auc:0.690256
[2] eval-auc:0.696196 train-auc:0.712004
[3] eval-auc:0.698935 train-auc:0.713637
[4] eval-auc:0.700924 train-auc:0.716899
[5] eval-auc:0.700422 train-auc:0.718303
[6] eval-auc:0.700326 train-auc:0.717337
[7] eval-auc:0.699272 train-auc:0.715461
[8] eval-auc:0.699443 train-auc:0.719256
[9] eval-auc:0.701388 train-auc:0.721149
[10] eval-auc:0.702784 train-auc:0.722919
[11] eval-auc:0.70289 train-auc:0.724445
[12] eval-auc:0.703282 train-auc:0.724082
[13] eval-auc:0.702131 train-auc:0.719926
[14] eval-auc:0.702249 train-auc:0.721088
[15] eval-auc:0.699058 train-auc:0.718243
[16] eval-auc:0.703391 train-auc:0.721134
[17] eval-auc:0.699457 train-auc:0.71907
[18] eval-auc:0.699224 train-auc:0.723678
[19] eval-auc:0.702743 train-auc:0.727002
[20] eval-auc:0.699538 train-auc:0.728474
[21] eval-auc:0.697907 train-auc:0.726164
[22] eval-auc:0.701074 train-auc:0.727603
[23] eval-auc:0.702792 train-auc:0.72781
[24] eval-auc:0.702733 train-auc:0.728578
[25] eval-auc:0.705463 train-auc:0.730978
[26] eval-auc:0.704935 train-auc:0.73121
[27] eval-auc:0.703208 train-auc:0.732056
[28] eval-auc:0.704642 train-auc:0.732475
[29] eval-auc:0.70578 train-auc:0.732936
[30] eval-auc:0.70466 train-auc:0.732916
[31] eval-auc:0.704541 train-auc:0.732066
[32] eval-auc:0.704628 train-auc:0.732884
[33] eval-auc:0.705684 train-auc:0.734354
[34] eval-auc:0.705988 train-auc:0.734649
[35] eval-auc:0.706357 train-auc:0.734252
[36] eval-auc:0.706483 train-auc:0.735423
[37] eval-auc:0.706981 train-auc:0.73538
[38] eval-auc:0.707904 train-auc:0.736038
[39] eval-auc:0.708128 train-auc:0.736256
[40] eval-auc:0.706844 train-auc:0.736932
[41] eval-auc:0.7058 train-auc:0.734974
[42] eval-auc:0.706802 train-auc:0.735785
[43] eval-auc:0.706906 train-auc:0.73602
[44] eval-auc:0.706971 train-auc:0.736892
[45] eval-auc:0.707235 train-auc:0.737456
[46] eval-auc:0.70758 train-auc:0.737959
[47] eval-auc:0.707223 train-auc:0.7384
[48] eval-auc:0.707399 train-auc:0.738431
[49] eval-auc:0.707401 train-auc:0.73933
[50] eval-auc:0.707663 train-auc:0.739899
[51] eval-auc:0.707911 train-auc:0.740465
[52] eval-auc:0.708023 train-auc:0.742916
[53] eval-auc:0.706972 train-auc:0.74459
[54] eval-auc:0.706871 train-auc:0.745307
[55] eval-auc:0.705674 train-auc:0.744394
[56] eval-auc:0.70575 train-auc:0.744806
[57] eval-auc:0.706674 train-auc:0.745543
[58] eval-auc:0.706902 train-auc:0.745986
[59] eval-auc:0.706004 train-auc:0.747417
[60] eval-auc:0.706418 train-auc:0.748723
[61] eval-auc:0.708189 train-auc:0.749645
[62] eval-auc:0.708391 train-auc:0.750184
[63] eval-auc:0.708435 train-auc:0.750518
[64] eval-auc:0.707928 train-auc:0.751622
[65] eval-auc:0.708289 train-auc:0.752206
[66] eval-auc:0.708454 train-auc:0.753019
[67] eval-auc:0.708748 train-auc:0.753387
[68] eval-auc:0.708786 train-auc:0.753797
[69] eval-auc:0.709561 train-auc:0.754829
[70] eval-auc:0.709596 train-auc:0.754984
[71] eval-auc:0.707966 train-auc:0.755974
[72] eval-auc:0.706395 train-auc:0.757447
[73] eval-auc:0.706729 train-auc:0.758022
[74] eval-auc:0.706912 train-auc:0.758453
[75] eval-auc:0.707206 train-auc:0.758792
[76] eval-auc:0.707472 train-auc:0.758833
[77] eval-auc:0.707236 train-auc:0.759746
[78] eval-auc:0.707235 train-auc:0.760082
[79] eval-auc:0.707607 train-auc:0.760651
[80] eval-auc:0.70869 train-auc:0.761795
[81] eval-auc:0.709236 train-auc:0.76251
[82] eval-auc:0.708757 train-auc:0.763677
[83] eval-auc:0.708377 train-auc:0.764471
[84] eval-auc:0.70743 train-auc:0.764286
[85] eval-auc:0.707682 train-auc:0.764738
[86] eval-auc:0.70795 train-auc:0.765698
[87] eval-auc:0.708188 train-auc:0.766294
[88] eval-auc:0.70686 train-auc:0.766936
[89] eval-auc:0.707309 train-auc:0.767528
[90] eval-auc:0.707746 train-auc:0.768149
[91] eval-auc:0.708268 train-auc:0.768598
[92] eval-auc:0.708282 train-auc:0.768665
[93] eval-auc:0.708333 train-auc:0.768874
[94] eval-auc:0.70867 train-auc:0.769309
[95] eval-auc:0.70869 train-auc:0.769337
[96] eval-auc:0.708981 train-auc:0.769552
[97] eval-auc:0.708058 train-auc:0.768811
[98] eval-auc:0.708294 train-auc:0.769122
[99] eval-auc:0.707538 train-auc:0.7694
[100] eval-auc:0.707567 train-auc:0.769813
[101] eval-auc:0.707812 train-auc:0.770088
[102] eval-auc:0.708203 train-auc:0.770973
[103] eval-auc:0.708148 train-auc:0.772011
[104] eval-auc:0.708332 train-auc:0.772627
[105] eval-auc:0.70823 train-auc:0.772947
[106] eval-auc:0.707956 train-auc:0.77354
[107] eval-auc:0.708164 train-auc:0.774039
[108] eval-auc:0.708283 train-auc:0.774138
[109] eval-auc:0.708422 train-auc:0.774845
[110] eval-auc:0.708696 train-auc:0.775468
[111] eval-auc:0.709631 train-auc:0.775972
[112] eval-auc:0.708761 train-auc:0.776967
[113] eval-auc:0.708811 train-auc:0.777653
[114] eval-auc:0.708818 train-auc:0.778067
[115] eval-auc:0.708301 train-auc:0.778162
[116] eval-auc:0.708528 train-auc:0.777419
[117] eval-auc:0.70839 train-auc:0.777805
[118] eval-auc:0.709574 train-auc:0.779179
[119] eval-auc:0.70969 train-auc:0.779391
[120] eval-auc:0.709457 train-auc:0.780055
[121] eval-auc:0.709593 train-auc:0.780364
[122] eval-auc:0.709865 train-auc:0.780779
[123] eval-auc:0.710011 train-auc:0.781488
[124] eval-auc:0.709577 train-auc:0.782549
[125] eval-auc:0.708939 train-auc:0.782859
[126] eval-auc:0.708839 train-auc:0.783025
[127] eval-auc:0.708786 train-auc:0.783308
[128] eval-auc:0.708866 train-auc:0.783418
[129] eval-auc:0.708906 train-auc:0.783543
[130] eval-auc:0.708912 train-auc:0.783861
[131] eval-auc:0.70932 train-auc:0.784328
[132] eval-auc:0.709554 train-auc:0.784956
[133] eval-auc:0.709692 train-auc:0.785287
[134] eval-auc:0.709917 train-auc:0.786628
[135] eval-auc:0.709393 train-auc:0.787115
[136] eval-auc:0.70971 train-auc:0.787526
[137] eval-auc:0.709311 train-auc:0.787826
[138] eval-auc:0.708874 train-auc:0.788682
[139] eval-auc:0.709235 train-auc:0.788867
[140] eval-auc:0.709882 train-auc:0.789432
[141] eval-auc:0.710176 train-auc:0.79021
[142] eval-auc:0.710214 train-auc:0.790739
[143] eval-auc:0.709923 train-auc:0.79129
[144] eval-auc:0.710092 train-auc:0.792088
[145] eval-auc:0.709879 train-auc:0.791647
[146] eval-auc:0.709625 train-auc:0.791835
[147] eval-auc:0.708586 train-auc:0.792836
[148] eval-auc:0.708554 train-auc:0.793101
[149] eval-auc:0.708609 train-auc:0.793247
[150] eval-auc:0.708614 train-auc:0.79328
[151] eval-auc:0.708563 train-auc:0.793723
[152] eval-auc:0.708614 train-auc:0.79441
[153] eval-auc:0.708822 train-auc:0.794954
[154] eval-auc:0.708411 train-auc:0.795306
[155] eval-auc:0.70809 train-auc:0.795611
[156] eval-auc:0.707928 train-auc:0.796079
[157] eval-auc:0.707522 train-auc:0.796423
[158] eval-auc:0.707657 train-auc:0.79652
[159] eval-auc:0.707654 train-auc:0.797058
[160] eval-auc:0.707613 train-auc:0.797558
[161] eval-auc:0.706835 train-auc:0.798214
[162] eval-auc:0.706262 train-auc:0.798563
[163] eval-auc:0.70625 train-auc:0.799134
[164] eval-auc:0.706019 train-auc:0.799796
[165] eval-auc:0.705478 train-auc:0.800579
[166] eval-auc:0.705299 train-auc:0.801572
[167] eval-auc:0.704959 train-auc:0.802007
[168] eval-auc:0.70483 train-auc:0.803032
[169] eval-auc:0.705139 train-auc:0.803741
[170] eval-auc:0.70473 train-auc:0.804835
[171] eval-auc:0.704986 train-auc:0.805559
[172] eval-auc:0.70506 train-auc:0.805028
[173] eval-auc:0.705075 train-auc:0.805351
[174] eval-auc:0.704812 train-auc:0.805714
[175] eval-auc:0.705066 train-auc:0.805263
[176] eval-auc:0.704976 train-auc:0.805414
[177] eval-auc:0.705011 train-auc:0.805746
[178] eval-auc:0.705054 train-auc:0.806138
[179] eval-auc:0.704922 train-auc:0.806337
[180] eval-auc:0.704949 train-auc:0.806423
[181] eval-auc:0.704847 train-auc:0.80659
[182] eval-auc:0.70526 train-auc:0.807133
[183] eval-auc:0.705369 train-auc:0.807867
[184] eval-auc:0.70563 train-auc:0.808225
[185] eval-auc:0.705534 train-auc:0.808704
[186] eval-auc:0.705056 train-auc:0.809406
[187] eval-auc:0.705225 train-auc:0.809667
[188] eval-auc:0.704998 train-auc:0.810015
[189] eval-auc:0.705101 train-auc:0.810188
[190] eval-auc:0.705528 train-auc:0.810631
[191] eval-auc:0.705529 train-auc:0.810665
[192] eval-auc:0.705557 train-auc:0.810957
[193] eval-auc:0.705902 train-auc:0.811274
[194] eval-auc:0.706515 train-auc:0.811854
[195] eval-auc:0.706613 train-auc:0.81156
[196] eval-auc:0.706546 train-auc:0.811774
[197] eval-auc:0.705546 train-auc:0.812029
[198] eval-auc:0.705525 train-auc:0.812387
[199] eval-auc:0.705576 train-auc:0.812708
[200] eval-auc:0.705159 train-auc:0.812956
[201] eval-auc:0.705459 train-auc:0.813232
[202] eval-auc:0.705235 train-auc:0.813769
[203] eval-auc:0.705197 train-auc:0.814348
[204] eval-auc:0.705116 train-auc:0.814827
[205] eval-auc:0.705439 train-auc:0.815144
[206] eval-auc:0.705354 train-auc:0.815133
[207] eval-auc:0.705391 train-auc:0.815212
[208] eval-auc:0.705149 train-auc:0.815564
[209] eval-auc:0.705543 train-auc:0.816161
[210] eval-auc:0.705019 train-auc:0.81628
[211] eval-auc:0.704914 train-auc:0.816403
[212] eval-auc:0.70519 train-auc:0.816777
[213] eval-auc:0.70564 train-auc:0.817019
[214] eval-auc:0.705637 train-auc:0.817041
[215] eval-auc:0.705954 train-auc:0.817402
[216] eval-auc:0.705904 train-auc:0.817727
[217] eval-auc:0.706268 train-auc:0.818003
[218] eval-auc:0.706542 train-auc:0.818683
[219] eval-auc:0.706553 train-auc:0.818708
[220] eval-auc:0.706615 train-auc:0.818821
[221] eval-auc:0.706402 train-auc:0.819177
[222] eval-auc:0.706158 train-auc:0.819616
[223] eval-auc:0.705863 train-auc:0.820152
[224] eval-auc:0.705366 train-auc:0.820321
[225] eval-auc:0.705301 train-auc:0.819847
[226] eval-auc:0.705391 train-auc:0.820431
[227] eval-auc:0.705375 train-auc:0.820622
[228] eval-auc:0.705459 train-auc:0.820961
[229] eval-auc:0.705269 train-auc:0.821228
[230] eval-auc:0.705459 train-auc:0.821451
[231] eval-auc:0.705549 train-auc:0.821768
[232] eval-auc:0.705774 train-auc:0.822826
[233] eval-auc:0.705616 train-auc:0.822985
[234] eval-auc:0.705321 train-auc:0.823631
[235] eval-auc:0.705662 train-auc:0.82413
[236] eval-auc:0.705981 train-auc:0.824439
[237] eval-auc:0.70617 train-auc:0.82514
[238] eval-auc:0.705241 train-auc:0.825767
[239] eval-auc:0.704949 train-auc:0.826238
[240] eval-auc:0.705153 train-auc:0.826579
[241] eval-auc:0.704314 train-auc:0.827052
[242] eval-auc:0.704407 train-auc:0.827126
[243] eval-auc:0.704072 train-auc:0.82739
[244] eval-auc:0.704459 train-auc:0.827052
[245] eval-auc:0.70444 train-auc:0.827294
[246] eval-auc:0.704296 train-auc:0.827589
[247] eval-auc:0.704303 train-auc:0.828095
[248] eval-auc:0.704308 train-auc:0.828101
[249] eval-auc:0.703729 train-auc:0.828233
[250] eval-auc:0.703818 train-auc:0.828375
[251] eval-auc:0.704165 train-auc:0.828772
[252] eval-auc:0.703979 train-auc:0.828901
[253] eval-auc:0.704046 train-auc:0.829408
[254] eval-auc:0.704399 train-auc:0.829554
[255] eval-auc:0.704311 train-auc:0.82979
[256] eval-auc:0.704268 train-auc:0.830311
[257] eval-auc:0.704055 train-auc:0.830226
[258] eval-auc:0.704274 train-auc:0.830519
[259] eval-auc:0.704142 train-auc:0.830721
[260] eval-auc:0.703667 train-auc:0.831041
[261] eval-auc:0.703213 train-auc:0.831409
[262] eval-auc:0.70314 train-auc:0.831714
[263] eval-auc:0.703125 train-auc:0.832197
[264] eval-auc:0.703001 train-auc:0.832554
[265] eval-auc:0.702892 train-auc:0.832903
[266] eval-auc:0.70289 train-auc:0.833104
[267] eval-auc:0.702881 train-auc:0.833377
[268] eval-auc:0.702895 train-auc:0.833486
[269] eval-auc:0.702919 train-auc:0.833773
[270] eval-auc:0.703125 train-auc:0.83402
[271] eval-auc:0.703741 train-auc:0.834395
[272] eval-auc:0.703745 train-auc:0.83456
Score 0.7037445638270657
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 1.0, 'eta': 0.07500000000000001, 'eval_metric': 'auc', 'gamma': 1.0, 'max_depth': 2, 'min_child_weight': 1.0, 'n_estimators': 217.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.669332 train-auc:0.690256
[1] eval-auc:0.669332 train-auc:0.690256
[2] eval-auc:0.696196 train-auc:0.712004
[3] eval-auc:0.696196 train-auc:0.712004
[4] eval-auc:0.698311 train-auc:0.713349
[5] eval-auc:0.698311 train-auc:0.713349
[6] eval-auc:0.700704 train-auc:0.716667
[7] eval-auc:0.700346 train-auc:0.718183
[8] eval-auc:0.700422 train-auc:0.71831
[9] eval-auc:0.700422 train-auc:0.71831
[10] eval-auc:0.700326 train-auc:0.718365
[11] eval-auc:0.700234 train-auc:0.71829
[12] eval-auc:0.698198 train-auc:0.716309
[13] eval-auc:0.698198 train-auc:0.71631
[14] eval-auc:0.700433 train-auc:0.719294
[15] eval-auc:0.69983 train-auc:0.720839
[16] eval-auc:0.704761 train-auc:0.724167
[17] eval-auc:0.701199 train-auc:0.722949
[18] eval-auc:0.701432 train-auc:0.721009
[19] eval-auc:0.70602 train-auc:0.723597
[20] eval-auc:0.702462 train-auc:0.721861
[21] eval-auc:0.704935 train-auc:0.725342
[22] eval-auc:0.702406 train-auc:0.724101
[23] eval-auc:0.702109 train-auc:0.722485
[24] eval-auc:0.705683 train-auc:0.725005
[25] eval-auc:0.701934 train-auc:0.722312
[26] eval-auc:0.699683 train-auc:0.720289
[27] eval-auc:0.703653 train-auc:0.722516
[28] eval-auc:0.70028 train-auc:0.722513
[29] eval-auc:0.697771 train-auc:0.720723
[30] eval-auc:0.69737 train-auc:0.723784
[31] eval-auc:0.700905 train-auc:0.725638
[32] eval-auc:0.698832 train-auc:0.725475
[33] eval-auc:0.700226 train-auc:0.725772
[34] eval-auc:0.700229 train-auc:0.72634
[35] eval-auc:0.699522 train-auc:0.726784
[36] eval-auc:0.699798 train-auc:0.727665
[37] eval-auc:0.701289 train-auc:0.728075
[38] eval-auc:0.699725 train-auc:0.728509
[39] eval-auc:0.701352 train-auc:0.728593
[40] eval-auc:0.702685 train-auc:0.729261
[41] eval-auc:0.701288 train-auc:0.729889
[42] eval-auc:0.700171 train-auc:0.727901
[43] eval-auc:0.700353 train-auc:0.728001
[44] eval-auc:0.703081 train-auc:0.729698
[45] eval-auc:0.703602 train-auc:0.730289
[46] eval-auc:0.705158 train-auc:0.730576
[47] eval-auc:0.705572 train-auc:0.730582
[48] eval-auc:0.70664 train-auc:0.731791
[49] eval-auc:0.707124 train-auc:0.732469
[50] eval-auc:0.706942 train-auc:0.732335
[51] eval-auc:0.706974 train-auc:0.732609
[52] eval-auc:0.707045 train-auc:0.732758
[53] eval-auc:0.706232 train-auc:0.733042
[54] eval-auc:0.707276 train-auc:0.734067
[55] eval-auc:0.707178 train-auc:0.734289
[56] eval-auc:0.70758 train-auc:0.734639
[57] eval-auc:0.708156 train-auc:0.734425
[58] eval-auc:0.708196 train-auc:0.734557
[59] eval-auc:0.707341 train-auc:0.734407
[60] eval-auc:0.707857 train-auc:0.735007
[61] eval-auc:0.707287 train-auc:0.734294
[62] eval-auc:0.707622 train-auc:0.734505
[63] eval-auc:0.707529 train-auc:0.734632
[64] eval-auc:0.707832 train-auc:0.734662
[65] eval-auc:0.708228 train-auc:0.734909
[66] eval-auc:0.709014 train-auc:0.735635
[67] eval-auc:0.708898 train-auc:0.735844
[68] eval-auc:0.708942 train-auc:0.735908
[69] eval-auc:0.709019 train-auc:0.736044
[70] eval-auc:0.708515 train-auc:0.736244
[71] eval-auc:0.708685 train-auc:0.736295
[72] eval-auc:0.708745 train-auc:0.736775
[73] eval-auc:0.70854 train-auc:0.737147
[74] eval-auc:0.709117 train-auc:0.73726
[75] eval-auc:0.709113 train-auc:0.73767
[76] eval-auc:0.709163 train-auc:0.737907
[77] eval-auc:0.709175 train-auc:0.738061
[78] eval-auc:0.708865 train-auc:0.738345
[79] eval-auc:0.708928 train-auc:0.738784
[80] eval-auc:0.709192 train-auc:0.739068
[81] eval-auc:0.708813 train-auc:0.73916
[82] eval-auc:0.709153 train-auc:0.739301
[83] eval-auc:0.70787 train-auc:0.740603
[84] eval-auc:0.707927 train-auc:0.741199
[85] eval-auc:0.707505 train-auc:0.740327
[86] eval-auc:0.70789 train-auc:0.740355
[87] eval-auc:0.708358 train-auc:0.741089
[88] eval-auc:0.708326 train-auc:0.741325
[89] eval-auc:0.708368 train-auc:0.741416
[90] eval-auc:0.708582 train-auc:0.741863
[91] eval-auc:0.708598 train-auc:0.74222
[92] eval-auc:0.708963 train-auc:0.743666
[93] eval-auc:0.70898 train-auc:0.743936
[94] eval-auc:0.708926 train-auc:0.744888
[95] eval-auc:0.709 train-auc:0.745154
[96] eval-auc:0.709215 train-auc:0.745567
[97] eval-auc:0.709413 train-auc:0.746174
[98] eval-auc:0.709576 train-auc:0.746364
[99] eval-auc:0.709914 train-auc:0.746781
[100] eval-auc:0.709931 train-auc:0.746988
[101] eval-auc:0.710145 train-auc:0.747325
[102] eval-auc:0.709641 train-auc:0.747396
[103] eval-auc:0.709704 train-auc:0.747758
[104] eval-auc:0.709838 train-auc:0.748196
[105] eval-auc:0.710258 train-auc:0.749256
[106] eval-auc:0.710555 train-auc:0.749848
[107] eval-auc:0.7101 train-auc:0.750688
[108] eval-auc:0.709556 train-auc:0.750471
[109] eval-auc:0.709209 train-auc:0.750374
[110] eval-auc:0.709367 train-auc:0.749962
[111] eval-auc:0.709565 train-auc:0.749983
[112] eval-auc:0.709695 train-auc:0.750206
[113] eval-auc:0.710065 train-auc:0.751035
[114] eval-auc:0.709756 train-auc:0.751766
[115] eval-auc:0.709859 train-auc:0.75204
[116] eval-auc:0.709445 train-auc:0.752837
[117] eval-auc:0.709679 train-auc:0.75333
[118] eval-auc:0.709663 train-auc:0.753576
[119] eval-auc:0.709667 train-auc:0.753699
[120] eval-auc:0.709596 train-auc:0.754087
[121] eval-auc:0.710436 train-auc:0.754539
[122] eval-auc:0.710608 train-auc:0.754719
[123] eval-auc:0.710759 train-auc:0.755002
[124] eval-auc:0.711102 train-auc:0.755603
[125] eval-auc:0.710046 train-auc:0.756263
[126] eval-auc:0.709686 train-auc:0.756856
[127] eval-auc:0.70886 train-auc:0.757661
[128] eval-auc:0.708869 train-auc:0.757729
[129] eval-auc:0.708978 train-auc:0.75808
[130] eval-auc:0.70894 train-auc:0.758301
[131] eval-auc:0.708132 train-auc:0.75881
[132] eval-auc:0.708474 train-auc:0.759311
[133] eval-auc:0.708629 train-auc:0.759461
[134] eval-auc:0.708439 train-auc:0.760094
[135] eval-auc:0.709049 train-auc:0.760526
[136] eval-auc:0.70906 train-auc:0.760567
[137] eval-auc:0.708469 train-auc:0.760605
[138] eval-auc:0.708138 train-auc:0.760713
[139] eval-auc:0.708351 train-auc:0.761044
[140] eval-auc:0.708889 train-auc:0.761456
[141] eval-auc:0.70885 train-auc:0.76164
[142] eval-auc:0.709183 train-auc:0.761888
[143] eval-auc:0.709032 train-auc:0.762348
[144] eval-auc:0.709123 train-auc:0.762631
[145] eval-auc:0.709172 train-auc:0.763002
[146] eval-auc:0.709378 train-auc:0.763364
[147] eval-auc:0.709602 train-auc:0.76358
[148] eval-auc:0.709567 train-auc:0.764079
[149] eval-auc:0.709664 train-auc:0.764296
[150] eval-auc:0.709675 train-auc:0.764318
[151] eval-auc:0.70983 train-auc:0.764636
[152] eval-auc:0.709972 train-auc:0.764769
[153] eval-auc:0.709978 train-auc:0.764781
[154] eval-auc:0.709976 train-auc:0.765049
[155] eval-auc:0.710016 train-auc:0.76548
[156] eval-auc:0.709809 train-auc:0.766009
[157] eval-auc:0.709746 train-auc:0.766191
[158] eval-auc:0.709877 train-auc:0.766282
[159] eval-auc:0.709915 train-auc:0.766406
[160] eval-auc:0.710038 train-auc:0.766517
[161] eval-auc:0.709239 train-auc:0.766894
[162] eval-auc:0.709359 train-auc:0.767137
[163] eval-auc:0.709395 train-auc:0.76718
[164] eval-auc:0.708839 train-auc:0.767915
[165] eval-auc:0.708769 train-auc:0.768232
[166] eval-auc:0.708569 train-auc:0.768674
[167] eval-auc:0.709199 train-auc:0.769402
[168] eval-auc:0.709408 train-auc:0.76966
[169] eval-auc:0.709898 train-auc:0.769978
[170] eval-auc:0.709998 train-auc:0.77066
[171] eval-auc:0.710256 train-auc:0.771521
[172] eval-auc:0.710198 train-auc:0.77169
[173] eval-auc:0.710331 train-auc:0.771946
[174] eval-auc:0.710601 train-auc:0.772183
[175] eval-auc:0.710174 train-auc:0.771763
[176] eval-auc:0.709996 train-auc:0.772181
[177] eval-auc:0.710019 train-auc:0.772276
[178] eval-auc:0.710043 train-auc:0.772561
[179] eval-auc:0.710404 train-auc:0.772939
[180] eval-auc:0.71041 train-auc:0.773498
[181] eval-auc:0.710475 train-auc:0.77356
[182] eval-auc:0.710463 train-auc:0.773772
[183] eval-auc:0.710513 train-auc:0.774123
[184] eval-auc:0.710635 train-auc:0.774462
[185] eval-auc:0.710722 train-auc:0.774562
[186] eval-auc:0.710889 train-auc:0.774873
[187] eval-auc:0.71089 train-auc:0.774887
[188] eval-auc:0.710834 train-auc:0.775053
[189] eval-auc:0.710881 train-auc:0.775135
[190] eval-auc:0.710528 train-auc:0.775796
[191] eval-auc:0.710327 train-auc:0.77614
[192] eval-auc:0.710349 train-auc:0.776492
[193] eval-auc:0.710423 train-auc:0.776594
[194] eval-auc:0.710407 train-auc:0.776723
[195] eval-auc:0.711022 train-auc:0.777604
[196] eval-auc:0.711026 train-auc:0.777812
[197] eval-auc:0.710892 train-auc:0.777967
[198] eval-auc:0.710975 train-auc:0.778014
[199] eval-auc:0.711125 train-auc:0.778179
[200] eval-auc:0.711212 train-auc:0.778468
[201] eval-auc:0.711386 train-auc:0.778898
[202] eval-auc:0.711179 train-auc:0.779087
[203] eval-auc:0.711014 train-auc:0.778861
[204] eval-auc:0.710614 train-auc:0.779159
[205] eval-auc:0.710793 train-auc:0.77925
[206] eval-auc:0.710726 train-auc:0.779421
[207] eval-auc:0.710774 train-auc:0.779639
[208] eval-auc:0.711016 train-auc:0.779909
[209] eval-auc:0.711225 train-auc:0.780695
[210] eval-auc:0.711204 train-auc:0.78107
[211] eval-auc:0.711135 train-auc:0.781279
[212] eval-auc:0.711359 train-auc:0.781576
[213] eval-auc:0.711361 train-auc:0.781586
[214] eval-auc:0.711648 train-auc:0.782038
[215] eval-auc:0.711743 train-auc:0.782409
[216] eval-auc:0.711753 train-auc:0.783107
Score 0.7117534017956121
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9500000000000001, 'eta': 0.1, 'eval_metric': 'auc', 'gamma': 1.0, 'max_depth': 2, 'min_child_weight': 1.0, 'n_estimators': 219.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.669332 train-auc:0.690256
[1] eval-auc:0.68113 train-auc:0.69571
[2] eval-auc:0.683472 train-auc:0.697324
[3] eval-auc:0.684196 train-auc:0.697318
[4] eval-auc:0.701297 train-auc:0.709953
[5] eval-auc:0.699794 train-auc:0.709334
[6] eval-auc:0.698592 train-auc:0.707862
[7] eval-auc:0.698767 train-auc:0.709504
[8] eval-auc:0.697762 train-auc:0.710402
[9] eval-auc:0.698326 train-auc:0.711395
[10] eval-auc:0.697846 train-auc:0.712935
[11] eval-auc:0.698665 train-auc:0.713308
[12] eval-auc:0.699303 train-auc:0.714008
[13] eval-auc:0.697699 train-auc:0.714286
[14] eval-auc:0.698643 train-auc:0.714322
[15] eval-auc:0.697622 train-auc:0.7144
[16] eval-auc:0.697313 train-auc:0.71477
[17] eval-auc:0.697386 train-auc:0.71662
[18] eval-auc:0.697622 train-auc:0.718782
[19] eval-auc:0.696786 train-auc:0.71914
[20] eval-auc:0.698126 train-auc:0.72036
[21] eval-auc:0.700864 train-auc:0.722952
[22] eval-auc:0.699521 train-auc:0.722014
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[30] eval-auc:0.702092 train-auc:0.727786
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[36] eval-auc:0.703128 train-auc:0.731191
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[41] eval-auc:0.70525 train-auc:0.733904
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[49] eval-auc:0.707295 train-auc:0.735054
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[52] eval-auc:0.707208 train-auc:0.736851
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[119] eval-auc:0.708254 train-auc:0.766386
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[121] eval-auc:0.709135 train-auc:0.767413
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[124] eval-auc:0.7093 train-auc:0.768847
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[127] eval-auc:0.709089 train-auc:0.769771
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[130] eval-auc:0.709564 train-auc:0.770155
[131] eval-auc:0.708786 train-auc:0.770172
[132] eval-auc:0.708269 train-auc:0.770433
[133] eval-auc:0.708441 train-auc:0.770692
[134] eval-auc:0.709159 train-auc:0.771208
[135] eval-auc:0.709366 train-auc:0.771452
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[137] eval-auc:0.709689 train-auc:0.77198
[138] eval-auc:0.709826 train-auc:0.77208
[139] eval-auc:0.709511 train-auc:0.772496
[140] eval-auc:0.709765 train-auc:0.772849
[141] eval-auc:0.709883 train-auc:0.773175
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[143] eval-auc:0.709973 train-auc:0.773628
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[150] eval-auc:0.709324 train-auc:0.775865
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[154] eval-auc:0.708818 train-auc:0.777877
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[156] eval-auc:0.708892 train-auc:0.779083
[157] eval-auc:0.709485 train-auc:0.779507
[158] eval-auc:0.708824 train-auc:0.780246
[159] eval-auc:0.708883 train-auc:0.780729
[160] eval-auc:0.709057 train-auc:0.781219
[161] eval-auc:0.708705 train-auc:0.781583
[162] eval-auc:0.70877 train-auc:0.781654
[163] eval-auc:0.70831 train-auc:0.782097
[164] eval-auc:0.708237 train-auc:0.782324
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[166] eval-auc:0.708508 train-auc:0.782806
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[168] eval-auc:0.70882 train-auc:0.783633
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[170] eval-auc:0.709265 train-auc:0.784956
[171] eval-auc:0.709518 train-auc:0.785959
[172] eval-auc:0.709757 train-auc:0.786578
[173] eval-auc:0.709806 train-auc:0.786997
[174] eval-auc:0.709928 train-auc:0.787174
[175] eval-auc:0.710844 train-auc:0.788166
[176] eval-auc:0.710537 train-auc:0.788459
[177] eval-auc:0.710578 train-auc:0.788746
[178] eval-auc:0.711009 train-auc:0.789282
[179] eval-auc:0.711164 train-auc:0.789508
[180] eval-auc:0.711167 train-auc:0.789516
[181] eval-auc:0.711115 train-auc:0.789906
[182] eval-auc:0.711967 train-auc:0.790563
[183] eval-auc:0.71189 train-auc:0.790783
[184] eval-auc:0.711942 train-auc:0.791031
[185] eval-auc:0.711656 train-auc:0.791666
[186] eval-auc:0.711811 train-auc:0.792606
[187] eval-auc:0.712091 train-auc:0.79304
[188] eval-auc:0.71225 train-auc:0.793438
[189] eval-auc:0.711901 train-auc:0.794048
[190] eval-auc:0.712152 train-auc:0.794649
[191] eval-auc:0.71232 train-auc:0.794904
[192] eval-auc:0.712094 train-auc:0.795183
[193] eval-auc:0.711818 train-auc:0.795371
[194] eval-auc:0.711715 train-auc:0.795677
[195] eval-auc:0.711702 train-auc:0.795221
[196] eval-auc:0.711428 train-auc:0.795591
[197] eval-auc:0.711651 train-auc:0.796013
[198] eval-auc:0.711684 train-auc:0.796244
[199] eval-auc:0.711418 train-auc:0.795932
[200] eval-auc:0.711488 train-auc:0.796164
[201] eval-auc:0.71137 train-auc:0.796403
[202] eval-auc:0.711072 train-auc:0.796683
[203] eval-auc:0.710876 train-auc:0.797099
[204] eval-auc:0.710995 train-auc:0.797344
[205] eval-auc:0.710814 train-auc:0.798113
[206] eval-auc:0.711112 train-auc:0.798548
[207] eval-auc:0.711026 train-auc:0.799107
[208] eval-auc:0.711071 train-auc:0.799191
[209] eval-auc:0.710881 train-auc:0.799712
[210] eval-auc:0.711253 train-auc:0.800054
[211] eval-auc:0.710865 train-auc:0.800336
[212] eval-auc:0.710982 train-auc:0.80076
[213] eval-auc:0.710209 train-auc:0.801596
[214] eval-auc:0.710319 train-auc:0.802071
[215] eval-auc:0.709969 train-auc:0.802237
[216] eval-auc:0.71003 train-auc:0.802441
[217] eval-auc:0.710246 train-auc:0.802574
[218] eval-auc:0.710255 train-auc:0.802895
Score 0.7102550280792798
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 1.0, 'eta': 0.15000000000000002, 'eval_metric': 'auc', 'gamma': 0.9500000000000001, 'max_depth': 2, 'min_child_weight': 1.0, 'n_estimators': 253.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.669332 train-auc:0.690256
[1] eval-auc:0.696196 train-auc:0.712004
[2] eval-auc:0.698935 train-auc:0.713637
[3] eval-auc:0.698311 train-auc:0.713349
[4] eval-auc:0.700924 train-auc:0.716899
[5] eval-auc:0.699592 train-auc:0.715419
[6] eval-auc:0.699619 train-auc:0.715329
[7] eval-auc:0.70131 train-auc:0.718231
[8] eval-auc:0.706468 train-auc:0.724624
[9] eval-auc:0.70331 train-auc:0.7235
[10] eval-auc:0.700182 train-auc:0.718192
[11] eval-auc:0.704412 train-auc:0.722427
[12] eval-auc:0.702459 train-auc:0.721547
[13] eval-auc:0.707007 train-auc:0.725055
[14] eval-auc:0.702051 train-auc:0.724405
[15] eval-auc:0.700379 train-auc:0.723409
[16] eval-auc:0.700205 train-auc:0.7266
[17] eval-auc:0.699625 train-auc:0.726556
[18] eval-auc:0.700257 train-auc:0.728121
[19] eval-auc:0.703697 train-auc:0.728151
[20] eval-auc:0.701243 train-auc:0.72757
[21] eval-auc:0.704503 train-auc:0.730511
[22] eval-auc:0.706815 train-auc:0.731702
[23] eval-auc:0.706775 train-auc:0.731523
[24] eval-auc:0.708196 train-auc:0.732788
[25] eval-auc:0.70765 train-auc:0.732681
[26] eval-auc:0.707929 train-auc:0.732863
[27] eval-auc:0.7094 train-auc:0.734634
[28] eval-auc:0.710093 train-auc:0.734827
[29] eval-auc:0.708365 train-auc:0.734525
[30] eval-auc:0.707642 train-auc:0.732813
[31] eval-auc:0.709773 train-auc:0.73463
[32] eval-auc:0.709756 train-auc:0.734474
[33] eval-auc:0.709941 train-auc:0.734764
[34] eval-auc:0.710182 train-auc:0.736033
[35] eval-auc:0.710056 train-auc:0.736856
[36] eval-auc:0.710173 train-auc:0.737201
[37] eval-auc:0.709677 train-auc:0.737856
[38] eval-auc:0.709762 train-auc:0.738256
[39] eval-auc:0.710209 train-auc:0.739172
[40] eval-auc:0.711167 train-auc:0.741925
[41] eval-auc:0.709677 train-auc:0.744249
[42] eval-auc:0.709606 train-auc:0.744656
[43] eval-auc:0.709809 train-auc:0.74523
[44] eval-auc:0.710036 train-auc:0.74511
[45] eval-auc:0.71086 train-auc:0.746233
[46] eval-auc:0.710837 train-auc:0.746749
[47] eval-auc:0.709624 train-auc:0.748241
[48] eval-auc:0.71033 train-auc:0.749286
[49] eval-auc:0.711233 train-auc:0.751093
[50] eval-auc:0.709496 train-auc:0.751153
[51] eval-auc:0.709534 train-auc:0.751508
[52] eval-auc:0.709571 train-auc:0.751978
[53] eval-auc:0.710289 train-auc:0.752573
[54] eval-auc:0.708685 train-auc:0.754365
[55] eval-auc:0.708944 train-auc:0.754748
[56] eval-auc:0.70888 train-auc:0.755586
[57] eval-auc:0.70891 train-auc:0.75579
[58] eval-auc:0.70907 train-auc:0.756499
[59] eval-auc:0.709958 train-auc:0.757784
[60] eval-auc:0.707959 train-auc:0.758914
[61] eval-auc:0.708285 train-auc:0.759633
[62] eval-auc:0.707666 train-auc:0.759392
[63] eval-auc:0.707465 train-auc:0.759912
[64] eval-auc:0.707679 train-auc:0.759028
[65] eval-auc:0.708192 train-auc:0.759794
[66] eval-auc:0.708709 train-auc:0.760708
[67] eval-auc:0.709012 train-auc:0.761274
[68] eval-auc:0.708432 train-auc:0.762445
[69] eval-auc:0.70845 train-auc:0.762532
[70] eval-auc:0.708301 train-auc:0.763494
[71] eval-auc:0.707299 train-auc:0.763556
[72] eval-auc:0.707787 train-auc:0.7638
[73] eval-auc:0.707736 train-auc:0.763716
[74] eval-auc:0.707934 train-auc:0.764987
[75] eval-auc:0.707958 train-auc:0.765465
[76] eval-auc:0.708191 train-auc:0.765725
[77] eval-auc:0.708107 train-auc:0.766154
[78] eval-auc:0.709071 train-auc:0.766951
[79] eval-auc:0.708276 train-auc:0.768306
[80] eval-auc:0.708467 train-auc:0.768451
[81] eval-auc:0.709114 train-auc:0.769951
[82] eval-auc:0.709444 train-auc:0.770488
[83] eval-auc:0.709551 train-auc:0.771084
[84] eval-auc:0.709632 train-auc:0.771396
[85] eval-auc:0.708884 train-auc:0.772162
[86] eval-auc:0.708844 train-auc:0.772735
[87] eval-auc:0.708877 train-auc:0.773112
[88] eval-auc:0.708778 train-auc:0.77343
[89] eval-auc:0.708799 train-auc:0.773992
[90] eval-auc:0.708805 train-auc:0.775157
[91] eval-auc:0.709094 train-auc:0.775539
[92] eval-auc:0.709239 train-auc:0.775609
[93] eval-auc:0.70961 train-auc:0.776014
[94] eval-auc:0.709497 train-auc:0.776521
[95] eval-auc:0.709938 train-auc:0.776798
[96] eval-auc:0.71024 train-auc:0.777463
[97] eval-auc:0.711546 train-auc:0.779013
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[100] eval-auc:0.711372 train-auc:0.780525
[101] eval-auc:0.711523 train-auc:0.781333
[102] eval-auc:0.711786 train-auc:0.782843
[103] eval-auc:0.712173 train-auc:0.782961
[104] eval-auc:0.712179 train-auc:0.782975
[105] eval-auc:0.712683 train-auc:0.783776
[106] eval-auc:0.712831 train-auc:0.783956
[107] eval-auc:0.712809 train-auc:0.784423
[108] eval-auc:0.712686 train-auc:0.784679
[109] eval-auc:0.712756 train-auc:0.785274
[110] eval-auc:0.713242 train-auc:0.787135
[111] eval-auc:0.712796 train-auc:0.787895
[112] eval-auc:0.713235 train-auc:0.788864
[113] eval-auc:0.712828 train-auc:0.788929
[114] eval-auc:0.712997 train-auc:0.788152
[115] eval-auc:0.712942 train-auc:0.788508
[116] eval-auc:0.71376 train-auc:0.789389
[117] eval-auc:0.712867 train-auc:0.789959
[118] eval-auc:0.713176 train-auc:0.791001
[119] eval-auc:0.713035 train-auc:0.791699
[120] eval-auc:0.712777 train-auc:0.79184
[121] eval-auc:0.71311 train-auc:0.79277
[122] eval-auc:0.711653 train-auc:0.79324
[123] eval-auc:0.71146 train-auc:0.793928
[124] eval-auc:0.711055 train-auc:0.794801
[125] eval-auc:0.711246 train-auc:0.795078
[126] eval-auc:0.711019 train-auc:0.794578
[127] eval-auc:0.711136 train-auc:0.794681
[128] eval-auc:0.710801 train-auc:0.795234
[129] eval-auc:0.710911 train-auc:0.796012
[130] eval-auc:0.710365 train-auc:0.796934
[131] eval-auc:0.709201 train-auc:0.798296
[132] eval-auc:0.709238 train-auc:0.799616
[133] eval-auc:0.708693 train-auc:0.800023
[134] eval-auc:0.708076 train-auc:0.800486
[135] eval-auc:0.707634 train-auc:0.800775
[136] eval-auc:0.707338 train-auc:0.801632
[137] eval-auc:0.707058 train-auc:0.801871
[138] eval-auc:0.707067 train-auc:0.801908
[139] eval-auc:0.707003 train-auc:0.802125
[140] eval-auc:0.707093 train-auc:0.802304
[141] eval-auc:0.707212 train-auc:0.802596
[142] eval-auc:0.707427 train-auc:0.801951
[143] eval-auc:0.707506 train-auc:0.802337
[144] eval-auc:0.70716 train-auc:0.802914
[145] eval-auc:0.706409 train-auc:0.803478
[146] eval-auc:0.7064 train-auc:0.804316
[147] eval-auc:0.705953 train-auc:0.805042
[148] eval-auc:0.705811 train-auc:0.805258
[149] eval-auc:0.706563 train-auc:0.805943
[150] eval-auc:0.70615 train-auc:0.806188
[151] eval-auc:0.706277 train-auc:0.806442
[152] eval-auc:0.706271 train-auc:0.807246
[153] eval-auc:0.705907 train-auc:0.80789
[154] eval-auc:0.70542 train-auc:0.808479
[155] eval-auc:0.705584 train-auc:0.80901
[156] eval-auc:0.70571 train-auc:0.809382
[157] eval-auc:0.705497 train-auc:0.808847
[158] eval-auc:0.706146 train-auc:0.809317
[159] eval-auc:0.705779 train-auc:0.809907
[160] eval-auc:0.706048 train-auc:0.810476
[161] eval-auc:0.705843 train-auc:0.811265
[162] eval-auc:0.705765 train-auc:0.811647
[163] eval-auc:0.705767 train-auc:0.811664
[164] eval-auc:0.705706 train-auc:0.811914
[165] eval-auc:0.705866 train-auc:0.812293
[166] eval-auc:0.70582 train-auc:0.812671
[167] eval-auc:0.705643 train-auc:0.813286
[168] eval-auc:0.705525 train-auc:0.813457
[169] eval-auc:0.705095 train-auc:0.813782
[170] eval-auc:0.705363 train-auc:0.814037
[171] eval-auc:0.705426 train-auc:0.814212
[172] eval-auc:0.705774 train-auc:0.814811
[173] eval-auc:0.70522 train-auc:0.815069
[174] eval-auc:0.704451 train-auc:0.815683
[175] eval-auc:0.70411 train-auc:0.816298
[176] eval-auc:0.703597 train-auc:0.816523
[177] eval-auc:0.703941 train-auc:0.816828
[178] eval-auc:0.70279 train-auc:0.817703
[179] eval-auc:0.702217 train-auc:0.818231
[180] eval-auc:0.702362 train-auc:0.818574
[181] eval-auc:0.7024 train-auc:0.818645
[182] eval-auc:0.702402 train-auc:0.819445
[183] eval-auc:0.70275 train-auc:0.820003
[184] eval-auc:0.702843 train-auc:0.820349
[185] eval-auc:0.702327 train-auc:0.820684
[186] eval-auc:0.702528 train-auc:0.820989
[187] eval-auc:0.702735 train-auc:0.821262
[188] eval-auc:0.703286 train-auc:0.821586
[189] eval-auc:0.703231 train-auc:0.821883
[190] eval-auc:0.702877 train-auc:0.822147
[191] eval-auc:0.703009 train-auc:0.822391
[192] eval-auc:0.702991 train-auc:0.822721
[193] eval-auc:0.702941 train-auc:0.823121
[194] eval-auc:0.702968 train-auc:0.823158
[195] eval-auc:0.703011 train-auc:0.823152
[196] eval-auc:0.703379 train-auc:0.823443
[197] eval-auc:0.703676 train-auc:0.823625
[198] eval-auc:0.703824 train-auc:0.8238
[199] eval-auc:0.703743 train-auc:0.823925
[200] eval-auc:0.703685 train-auc:0.824174
[201] eval-auc:0.703166 train-auc:0.824449
[202] eval-auc:0.703035 train-auc:0.824641
[203] eval-auc:0.702601 train-auc:0.824921
[204] eval-auc:0.702942 train-auc:0.825415
[205] eval-auc:0.702718 train-auc:0.826037
[206] eval-auc:0.702887 train-auc:0.826661
[207] eval-auc:0.702849 train-auc:0.827039
[208] eval-auc:0.703078 train-auc:0.827415
[209] eval-auc:0.70328 train-auc:0.827662
[210] eval-auc:0.703542 train-auc:0.82729
[211] eval-auc:0.704734 train-auc:0.828172
[212] eval-auc:0.70408 train-auc:0.828308
[213] eval-auc:0.703869 train-auc:0.828603
[214] eval-auc:0.703869 train-auc:0.829127
[215] eval-auc:0.703591 train-auc:0.829439
[216] eval-auc:0.703805 train-auc:0.829669
[217] eval-auc:0.703359 train-auc:0.829841
[218] eval-auc:0.703941 train-auc:0.830389
[219] eval-auc:0.703938 train-auc:0.830406
[220] eval-auc:0.704055 train-auc:0.830635
[221] eval-auc:0.704101 train-auc:0.830933
[222] eval-auc:0.70377 train-auc:0.831904
[223] eval-auc:0.703935 train-auc:0.832188
[224] eval-auc:0.703912 train-auc:0.832156
[225] eval-auc:0.703298 train-auc:0.832494
[226] eval-auc:0.703318 train-auc:0.832875
[227] eval-auc:0.704034 train-auc:0.833247
[228] eval-auc:0.70446 train-auc:0.833713
[229] eval-auc:0.704334 train-auc:0.834284
[230] eval-auc:0.704424 train-auc:0.834379
[231] eval-auc:0.704558 train-auc:0.835008
[232] eval-auc:0.704105 train-auc:0.835297
[233] eval-auc:0.704154 train-auc:0.835653
[234] eval-auc:0.704017 train-auc:0.835951
[235] eval-auc:0.704139 train-auc:0.836214
[236] eval-auc:0.704243 train-auc:0.835841
[237] eval-auc:0.704489 train-auc:0.83614
[238] eval-auc:0.704704 train-auc:0.836466
[239] eval-auc:0.704515 train-auc:0.836894
[240] eval-auc:0.704355 train-auc:0.836474
[241] eval-auc:0.7046 train-auc:0.836593
[242] eval-auc:0.70469 train-auc:0.836741
[243] eval-auc:0.704454 train-auc:0.83651
[244] eval-auc:0.704308 train-auc:0.837088
[245] eval-auc:0.704437 train-auc:0.837313
[246] eval-auc:0.704512 train-auc:0.837832
[247] eval-auc:0.704376 train-auc:0.838282
[248] eval-auc:0.704354 train-auc:0.838371
[249] eval-auc:0.704418 train-auc:0.838901
[250] eval-auc:0.704281 train-auc:0.839112
[251] eval-auc:0.703724 train-auc:0.839789
[252] eval-auc:0.703898 train-auc:0.839988
Score 0.7038975989474838
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 1.0, 'eta': 0.125, 'eval_metric': 'auc', 'gamma': 0.9, 'max_depth': 2, 'min_child_weight': 1.0, 'n_estimators': 344.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.669332 train-auc:0.690256
[1] eval-auc:0.669332 train-auc:0.690256
[2] eval-auc:0.696196 train-auc:0.712004
[3] eval-auc:0.698935 train-auc:0.713637
[4] eval-auc:0.700924 train-auc:0.716899
[5] eval-auc:0.700422 train-auc:0.718303
[6] eval-auc:0.700326 train-auc:0.717337
[7] eval-auc:0.699272 train-auc:0.715461
[8] eval-auc:0.699443 train-auc:0.719256
[9] eval-auc:0.701388 train-auc:0.721149
[10] eval-auc:0.702784 train-auc:0.722919
[11] eval-auc:0.70289 train-auc:0.724445
[12] eval-auc:0.703282 train-auc:0.724082
[13] eval-auc:0.702131 train-auc:0.719926
[14] eval-auc:0.702249 train-auc:0.721088
[15] eval-auc:0.699058 train-auc:0.718243
[16] eval-auc:0.703391 train-auc:0.721134
[17] eval-auc:0.699457 train-auc:0.71907
[18] eval-auc:0.699224 train-auc:0.723678
[19] eval-auc:0.702743 train-auc:0.727002
[20] eval-auc:0.699538 train-auc:0.728474
[21] eval-auc:0.697907 train-auc:0.726164
[22] eval-auc:0.701074 train-auc:0.727603
[23] eval-auc:0.702792 train-auc:0.72781
[24] eval-auc:0.702733 train-auc:0.728578
[25] eval-auc:0.705463 train-auc:0.730978
[26] eval-auc:0.704935 train-auc:0.73121
[27] eval-auc:0.703208 train-auc:0.732056
[28] eval-auc:0.704642 train-auc:0.732475
[29] eval-auc:0.70578 train-auc:0.732936
[30] eval-auc:0.70466 train-auc:0.732916
[31] eval-auc:0.704541 train-auc:0.732066
[32] eval-auc:0.704628 train-auc:0.732884
[33] eval-auc:0.705684 train-auc:0.734354
[34] eval-auc:0.705988 train-auc:0.734649
[35] eval-auc:0.706357 train-auc:0.734252
[36] eval-auc:0.706483 train-auc:0.735423
[37] eval-auc:0.706981 train-auc:0.73538
[38] eval-auc:0.707904 train-auc:0.736038
[39] eval-auc:0.708128 train-auc:0.736256
[40] eval-auc:0.706844 train-auc:0.736932
[41] eval-auc:0.7058 train-auc:0.734974
[42] eval-auc:0.706802 train-auc:0.735785
[43] eval-auc:0.706906 train-auc:0.73602
[44] eval-auc:0.706971 train-auc:0.736892
[45] eval-auc:0.707235 train-auc:0.737456
[46] eval-auc:0.70758 train-auc:0.737959
[47] eval-auc:0.707223 train-auc:0.7384
[48] eval-auc:0.707399 train-auc:0.738431
[49] eval-auc:0.707401 train-auc:0.73933
[50] eval-auc:0.707663 train-auc:0.739899
[51] eval-auc:0.707911 train-auc:0.740465
[52] eval-auc:0.708023 train-auc:0.742916
[53] eval-auc:0.706972 train-auc:0.74459
[54] eval-auc:0.706871 train-auc:0.745307
[55] eval-auc:0.705674 train-auc:0.744394
[56] eval-auc:0.70575 train-auc:0.744806
[57] eval-auc:0.706674 train-auc:0.745543
[58] eval-auc:0.706902 train-auc:0.745986
[59] eval-auc:0.706004 train-auc:0.747417
[60] eval-auc:0.706418 train-auc:0.748723
[61] eval-auc:0.708189 train-auc:0.749645
[62] eval-auc:0.708391 train-auc:0.750184
[63] eval-auc:0.708435 train-auc:0.750518
[64] eval-auc:0.707928 train-auc:0.751622
[65] eval-auc:0.708289 train-auc:0.752206
[66] eval-auc:0.708454 train-auc:0.753019
[67] eval-auc:0.708748 train-auc:0.753387
[68] eval-auc:0.708786 train-auc:0.753797
[69] eval-auc:0.709561 train-auc:0.754829
[70] eval-auc:0.709596 train-auc:0.754984
[71] eval-auc:0.707966 train-auc:0.755974
[72] eval-auc:0.706395 train-auc:0.757447
[73] eval-auc:0.706729 train-auc:0.758022
[74] eval-auc:0.706912 train-auc:0.758453
[75] eval-auc:0.707206 train-auc:0.758792
[76] eval-auc:0.707472 train-auc:0.758833
[77] eval-auc:0.707236 train-auc:0.759746
[78] eval-auc:0.707235 train-auc:0.760082
[79] eval-auc:0.707607 train-auc:0.760651
[80] eval-auc:0.70869 train-auc:0.761795
[81] eval-auc:0.709236 train-auc:0.76251
[82] eval-auc:0.708757 train-auc:0.763677
[83] eval-auc:0.708377 train-auc:0.764471
[84] eval-auc:0.70743 train-auc:0.764286
[85] eval-auc:0.707682 train-auc:0.764738
[86] eval-auc:0.70795 train-auc:0.765698
[87] eval-auc:0.708188 train-auc:0.766294
[88] eval-auc:0.70686 train-auc:0.766936
[89] eval-auc:0.707309 train-auc:0.767528
[90] eval-auc:0.707746 train-auc:0.768149
[91] eval-auc:0.708268 train-auc:0.768598
[92] eval-auc:0.708282 train-auc:0.768665
[93] eval-auc:0.708333 train-auc:0.768874
[94] eval-auc:0.70867 train-auc:0.769309
[95] eval-auc:0.70869 train-auc:0.769337
[96] eval-auc:0.708981 train-auc:0.769552
[97] eval-auc:0.708058 train-auc:0.768811
[98] eval-auc:0.708294 train-auc:0.769122
[99] eval-auc:0.707538 train-auc:0.7694
[100] eval-auc:0.707567 train-auc:0.769813
[101] eval-auc:0.707812 train-auc:0.770088
[102] eval-auc:0.708203 train-auc:0.770973
[103] eval-auc:0.708148 train-auc:0.772011
[104] eval-auc:0.708332 train-auc:0.772627
[105] eval-auc:0.70823 train-auc:0.772947
[106] eval-auc:0.707956 train-auc:0.77354
[107] eval-auc:0.708164 train-auc:0.774039
[108] eval-auc:0.708283 train-auc:0.774138
[109] eval-auc:0.708422 train-auc:0.774845
[110] eval-auc:0.708696 train-auc:0.775468
[111] eval-auc:0.709631 train-auc:0.775972
[112] eval-auc:0.708761 train-auc:0.776967
[113] eval-auc:0.708811 train-auc:0.777653
[114] eval-auc:0.708818 train-auc:0.778067
[115] eval-auc:0.708301 train-auc:0.778162
[116] eval-auc:0.708528 train-auc:0.777419
[117] eval-auc:0.70839 train-auc:0.777805
[118] eval-auc:0.709574 train-auc:0.779179
[119] eval-auc:0.70969 train-auc:0.779391
[120] eval-auc:0.709457 train-auc:0.780055
[121] eval-auc:0.709593 train-auc:0.780364
[122] eval-auc:0.709865 train-auc:0.780779
[123] eval-auc:0.710011 train-auc:0.781488
[124] eval-auc:0.709577 train-auc:0.782549
[125] eval-auc:0.708939 train-auc:0.782859
[126] eval-auc:0.708839 train-auc:0.783025
[127] eval-auc:0.708786 train-auc:0.783308
[128] eval-auc:0.708866 train-auc:0.783418
[129] eval-auc:0.708906 train-auc:0.783543
[130] eval-auc:0.708912 train-auc:0.783861
[131] eval-auc:0.70932 train-auc:0.784328
[132] eval-auc:0.709554 train-auc:0.784956
[133] eval-auc:0.709692 train-auc:0.785287
[134] eval-auc:0.709917 train-auc:0.786628
[135] eval-auc:0.709393 train-auc:0.787115
[136] eval-auc:0.70971 train-auc:0.787526
[137] eval-auc:0.709311 train-auc:0.787826
[138] eval-auc:0.708874 train-auc:0.788682
[139] eval-auc:0.709235 train-auc:0.788867
[140] eval-auc:0.709882 train-auc:0.789432
[141] eval-auc:0.710176 train-auc:0.79021
[142] eval-auc:0.710214 train-auc:0.790739
[143] eval-auc:0.709923 train-auc:0.79129
[144] eval-auc:0.710092 train-auc:0.792088
[145] eval-auc:0.709879 train-auc:0.791647
[146] eval-auc:0.709625 train-auc:0.791835
[147] eval-auc:0.708586 train-auc:0.792836
[148] eval-auc:0.708554 train-auc:0.793101
[149] eval-auc:0.708609 train-auc:0.793247
[150] eval-auc:0.708614 train-auc:0.79328
[151] eval-auc:0.708563 train-auc:0.793723
[152] eval-auc:0.708614 train-auc:0.79441
[153] eval-auc:0.708822 train-auc:0.794954
[154] eval-auc:0.708411 train-auc:0.795306
[155] eval-auc:0.70809 train-auc:0.795611
[156] eval-auc:0.707928 train-auc:0.796079
[157] eval-auc:0.707522 train-auc:0.796423
[158] eval-auc:0.707657 train-auc:0.79652
[159] eval-auc:0.707654 train-auc:0.797058
[160] eval-auc:0.707613 train-auc:0.797558
[161] eval-auc:0.706835 train-auc:0.798214
[162] eval-auc:0.706262 train-auc:0.798563
[163] eval-auc:0.70625 train-auc:0.799134
[164] eval-auc:0.706019 train-auc:0.799796
[165] eval-auc:0.705478 train-auc:0.800579
[166] eval-auc:0.705299 train-auc:0.801572
[167] eval-auc:0.704959 train-auc:0.802007
[168] eval-auc:0.70483 train-auc:0.803032
[169] eval-auc:0.705139 train-auc:0.803741
[170] eval-auc:0.70473 train-auc:0.804835
[171] eval-auc:0.704986 train-auc:0.805559
[172] eval-auc:0.70506 train-auc:0.805028
[173] eval-auc:0.705075 train-auc:0.805351
[174] eval-auc:0.704812 train-auc:0.805714
[175] eval-auc:0.705066 train-auc:0.805263
[176] eval-auc:0.704976 train-auc:0.805414
[177] eval-auc:0.705011 train-auc:0.805746
[178] eval-auc:0.705054 train-auc:0.806138
[179] eval-auc:0.704922 train-auc:0.806337
[180] eval-auc:0.704949 train-auc:0.806423
[181] eval-auc:0.704847 train-auc:0.80659
[182] eval-auc:0.70526 train-auc:0.807133
[183] eval-auc:0.705369 train-auc:0.807867
[184] eval-auc:0.70563 train-auc:0.808225
[185] eval-auc:0.705534 train-auc:0.808704
[186] eval-auc:0.705056 train-auc:0.809406
[187] eval-auc:0.705225 train-auc:0.809667
[188] eval-auc:0.704998 train-auc:0.810015
[189] eval-auc:0.705101 train-auc:0.810188
[190] eval-auc:0.705528 train-auc:0.810631
[191] eval-auc:0.705529 train-auc:0.810665
[192] eval-auc:0.705557 train-auc:0.810957
[193] eval-auc:0.705902 train-auc:0.811274
[194] eval-auc:0.706515 train-auc:0.811854
[195] eval-auc:0.706613 train-auc:0.81156
[196] eval-auc:0.706546 train-auc:0.811774
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[198] eval-auc:0.705525 train-auc:0.812387
[199] eval-auc:0.705576 train-auc:0.812708
[200] eval-auc:0.705159 train-auc:0.812956
[201] eval-auc:0.705459 train-auc:0.813232
[202] eval-auc:0.705235 train-auc:0.813769
[203] eval-auc:0.705197 train-auc:0.814348
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[205] eval-auc:0.705439 train-auc:0.815144
[206] eval-auc:0.705354 train-auc:0.815133
[207] eval-auc:0.705391 train-auc:0.815212
[208] eval-auc:0.705149 train-auc:0.815564
[209] eval-auc:0.705543 train-auc:0.816161
[210] eval-auc:0.705019 train-auc:0.81628
[211] eval-auc:0.704914 train-auc:0.816403
[212] eval-auc:0.70519 train-auc:0.816777
[213] eval-auc:0.70564 train-auc:0.817019
[214] eval-auc:0.705637 train-auc:0.817041
[215] eval-auc:0.705954 train-auc:0.817402
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[218] eval-auc:0.706542 train-auc:0.818683
[219] eval-auc:0.706553 train-auc:0.818708
[220] eval-auc:0.706615 train-auc:0.818821
[221] eval-auc:0.706402 train-auc:0.819177
[222] eval-auc:0.706158 train-auc:0.819616
[223] eval-auc:0.705863 train-auc:0.820152
[224] eval-auc:0.705366 train-auc:0.820321
[225] eval-auc:0.705301 train-auc:0.819847
[226] eval-auc:0.705391 train-auc:0.820431
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[228] eval-auc:0.705459 train-auc:0.820961
[229] eval-auc:0.705269 train-auc:0.821228
[230] eval-auc:0.705459 train-auc:0.821451
[231] eval-auc:0.705549 train-auc:0.821768
[232] eval-auc:0.705774 train-auc:0.822826
[233] eval-auc:0.705616 train-auc:0.822985
[234] eval-auc:0.705321 train-auc:0.823631
[235] eval-auc:0.705662 train-auc:0.82413
[236] eval-auc:0.705981 train-auc:0.824439
[237] eval-auc:0.70617 train-auc:0.82514
[238] eval-auc:0.705241 train-auc:0.825767
[239] eval-auc:0.704949 train-auc:0.826238
[240] eval-auc:0.705153 train-auc:0.826579
[241] eval-auc:0.704314 train-auc:0.827052
[242] eval-auc:0.704407 train-auc:0.827126
[243] eval-auc:0.704072 train-auc:0.82739
[244] eval-auc:0.704459 train-auc:0.827052
[245] eval-auc:0.70444 train-auc:0.827294
[246] eval-auc:0.704296 train-auc:0.827589
[247] eval-auc:0.704303 train-auc:0.828095
[248] eval-auc:0.704308 train-auc:0.828101
[249] eval-auc:0.703729 train-auc:0.828233
[250] eval-auc:0.703818 train-auc:0.828375
[251] eval-auc:0.704165 train-auc:0.828772
[252] eval-auc:0.703979 train-auc:0.828901
[253] eval-auc:0.704046 train-auc:0.829408
[254] eval-auc:0.704399 train-auc:0.829554
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[256] eval-auc:0.704268 train-auc:0.830311
[257] eval-auc:0.704055 train-auc:0.830226
[258] eval-auc:0.704274 train-auc:0.830519
[259] eval-auc:0.704142 train-auc:0.830721
[260] eval-auc:0.703667 train-auc:0.831041
[261] eval-auc:0.703213 train-auc:0.831409
[262] eval-auc:0.70314 train-auc:0.831714
[263] eval-auc:0.703125 train-auc:0.832197
[264] eval-auc:0.703001 train-auc:0.832554
[265] eval-auc:0.702892 train-auc:0.832903
[266] eval-auc:0.70289 train-auc:0.833104
[267] eval-auc:0.702881 train-auc:0.833377
[268] eval-auc:0.702895 train-auc:0.833486
[269] eval-auc:0.702919 train-auc:0.833773
[270] eval-auc:0.703125 train-auc:0.83402
[271] eval-auc:0.703741 train-auc:0.834395
[272] eval-auc:0.703745 train-auc:0.83456
[273] eval-auc:0.703385 train-auc:0.834652
[274] eval-auc:0.702971 train-auc:0.834886
[275] eval-auc:0.702456 train-auc:0.835412
[276] eval-auc:0.702756 train-auc:0.835613
[277] eval-auc:0.703079 train-auc:0.836308
[278] eval-auc:0.703026 train-auc:0.836706
[279] eval-auc:0.702916 train-auc:0.836832
[280] eval-auc:0.702578 train-auc:0.837137
[281] eval-auc:0.7025 train-auc:0.8373
[282] eval-auc:0.702322 train-auc:0.837589
[283] eval-auc:0.702281 train-auc:0.837919
[284] eval-auc:0.702283 train-auc:0.837928
[285] eval-auc:0.702342 train-auc:0.838297
[286] eval-auc:0.702446 train-auc:0.838765
[287] eval-auc:0.702159 train-auc:0.839004
[288] eval-auc:0.702035 train-auc:0.839077
[289] eval-auc:0.702161 train-auc:0.839757
[290] eval-auc:0.70192 train-auc:0.839825
[291] eval-auc:0.702164 train-auc:0.839538
[292] eval-auc:0.702353 train-auc:0.839817
[293] eval-auc:0.702476 train-auc:0.84024
[294] eval-auc:0.702348 train-auc:0.840467
[295] eval-auc:0.702566 train-auc:0.840851
[296] eval-auc:0.703167 train-auc:0.841333
[297] eval-auc:0.703151 train-auc:0.841664
[298] eval-auc:0.703142 train-auc:0.841652
[299] eval-auc:0.703139 train-auc:0.841328
[300] eval-auc:0.702784 train-auc:0.841349
[301] eval-auc:0.702927 train-auc:0.841857
[302] eval-auc:0.702752 train-auc:0.841904
[303] eval-auc:0.703604 train-auc:0.842459
[304] eval-auc:0.704081 train-auc:0.842929
[305] eval-auc:0.703987 train-auc:0.843163
[306] eval-auc:0.703693 train-auc:0.843627
[307] eval-auc:0.703993 train-auc:0.844148
[308] eval-auc:0.704542 train-auc:0.844798
[309] eval-auc:0.704437 train-auc:0.844965
[310] eval-auc:0.704631 train-auc:0.845114
[311] eval-auc:0.704609 train-auc:0.846148
[312] eval-auc:0.704736 train-auc:0.846696
[313] eval-auc:0.704645 train-auc:0.846628
[314] eval-auc:0.705018 train-auc:0.846292
[315] eval-auc:0.705149 train-auc:0.84644
[316] eval-auc:0.704914 train-auc:0.84664
[317] eval-auc:0.704884 train-auc:0.846822
[318] eval-auc:0.704941 train-auc:0.847008
[319] eval-auc:0.704941 train-auc:0.847008
[320] eval-auc:0.705311 train-auc:0.847314
[321] eval-auc:0.705219 train-auc:0.847441
[322] eval-auc:0.705153 train-auc:0.847637
[323] eval-auc:0.704957 train-auc:0.847845
[324] eval-auc:0.704877 train-auc:0.848176
[325] eval-auc:0.704963 train-auc:0.848314
[326] eval-auc:0.704657 train-auc:0.848255
[327] eval-auc:0.704943 train-auc:0.848399
[328] eval-auc:0.705174 train-auc:0.848716
[329] eval-auc:0.705051 train-auc:0.848809
[330] eval-auc:0.704972 train-auc:0.848906
[331] eval-auc:0.705103 train-auc:0.849214
[332] eval-auc:0.704998 train-auc:0.849335
[333] eval-auc:0.705212 train-auc:0.849516
[334] eval-auc:0.705287 train-auc:0.849742
[335] eval-auc:0.705291 train-auc:0.85012
[336] eval-auc:0.70553 train-auc:0.850441
[337] eval-auc:0.705699 train-auc:0.850661
[338] eval-auc:0.705553 train-auc:0.851088
[339] eval-auc:0.705387 train-auc:0.851217
[340] eval-auc:0.705464 train-auc:0.851313
[341] eval-auc:0.705588 train-auc:0.851313
[342] eval-auc:0.705637 train-auc:0.851743
[343] eval-auc:0.705309 train-auc:0.852209
Score 0.70530917662537
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9500000000000001, 'eta': 0.07500000000000001, 'eval_metric': 'auc', 'gamma': 0.9500000000000001, 'max_depth': 2, 'min_child_weight': 1.0, 'n_estimators': 292.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.669332 train-auc:0.690256
[1] eval-auc:0.68113 train-auc:0.69571
[2] eval-auc:0.683755 train-auc:0.697177
[3] eval-auc:0.683665 train-auc:0.69726
[4] eval-auc:0.701007 train-auc:0.709727
[5] eval-auc:0.699794 train-auc:0.709334
[6] eval-auc:0.698681 train-auc:0.708211
[7] eval-auc:0.698067 train-auc:0.709434
[8] eval-auc:0.698918 train-auc:0.712348
[9] eval-auc:0.696422 train-auc:0.712662
[10] eval-auc:0.694839 train-auc:0.71373
[11] eval-auc:0.696331 train-auc:0.714117
[12] eval-auc:0.69673 train-auc:0.714452
[13] eval-auc:0.697184 train-auc:0.714505
[14] eval-auc:0.696429 train-auc:0.715427
[15] eval-auc:0.696834 train-auc:0.715735
[16] eval-auc:0.696993 train-auc:0.715705
[17] eval-auc:0.697242 train-auc:0.716774
[18] eval-auc:0.696889 train-auc:0.718622
[19] eval-auc:0.696094 train-auc:0.718472
[20] eval-auc:0.696231 train-auc:0.718878
[21] eval-auc:0.697162 train-auc:0.719718
[22] eval-auc:0.701766 train-auc:0.723191
[23] eval-auc:0.697509 train-auc:0.721038
[24] eval-auc:0.701996 train-auc:0.724205
[25] eval-auc:0.701902 train-auc:0.724345
[26] eval-auc:0.698503 train-auc:0.723213
[27] eval-auc:0.701233 train-auc:0.72374
[28] eval-auc:0.698778 train-auc:0.723512
[29] eval-auc:0.698213 train-auc:0.722683
[30] eval-auc:0.698128 train-auc:0.724984
[31] eval-auc:0.700685 train-auc:0.726548
[32] eval-auc:0.700383 train-auc:0.726914
[33] eval-auc:0.698099 train-auc:0.726093
[34] eval-auc:0.700618 train-auc:0.727135
[35] eval-auc:0.698755 train-auc:0.727458
[36] eval-auc:0.699607 train-auc:0.72885
[37] eval-auc:0.700891 train-auc:0.729227
[38] eval-auc:0.700567 train-auc:0.7291
[39] eval-auc:0.700755 train-auc:0.729056
[40] eval-auc:0.701548 train-auc:0.729922
[41] eval-auc:0.702618 train-auc:0.729558
[42] eval-auc:0.704772 train-auc:0.73092
[43] eval-auc:0.704503 train-auc:0.7321
[44] eval-auc:0.704315 train-auc:0.732025
[45] eval-auc:0.702827 train-auc:0.731363
[46] eval-auc:0.703423 train-auc:0.732331
[47] eval-auc:0.704706 train-auc:0.732756
[48] eval-auc:0.705668 train-auc:0.733183
[49] eval-auc:0.704319 train-auc:0.732446
[50] eval-auc:0.705704 train-auc:0.733331
[51] eval-auc:0.705768 train-auc:0.733643
[52] eval-auc:0.705356 train-auc:0.733861
[53] eval-auc:0.705353 train-auc:0.733638
[54] eval-auc:0.704859 train-auc:0.732853
[55] eval-auc:0.705674 train-auc:0.73315
[56] eval-auc:0.706671 train-auc:0.733501
[57] eval-auc:0.706888 train-auc:0.733633
[58] eval-auc:0.707397 train-auc:0.7336
[59] eval-auc:0.707261 train-auc:0.733949
[60] eval-auc:0.707299 train-auc:0.734485
[61] eval-auc:0.70757 train-auc:0.734511
[62] eval-auc:0.708095 train-auc:0.735495
[63] eval-auc:0.708733 train-auc:0.735889
[64] eval-auc:0.708683 train-auc:0.73607
[65] eval-auc:0.708309 train-auc:0.73629
[66] eval-auc:0.708374 train-auc:0.736393
[67] eval-auc:0.708748 train-auc:0.736831
[68] eval-auc:0.709112 train-auc:0.73718
[69] eval-auc:0.709284 train-auc:0.737335
[70] eval-auc:0.708811 train-auc:0.737098
[71] eval-auc:0.709354 train-auc:0.737407
[72] eval-auc:0.708384 train-auc:0.736666
[73] eval-auc:0.708025 train-auc:0.737061
[74] eval-auc:0.70832 train-auc:0.737532
[75] eval-auc:0.708326 train-auc:0.737699
[76] eval-auc:0.708773 train-auc:0.738856
[77] eval-auc:0.709087 train-auc:0.738819
[78] eval-auc:0.709083 train-auc:0.739395
[79] eval-auc:0.709279 train-auc:0.739384
[80] eval-auc:0.709617 train-auc:0.739718
[81] eval-auc:0.709332 train-auc:0.739935
[82] eval-auc:0.708448 train-auc:0.740183
[83] eval-auc:0.708674 train-auc:0.740246
[84] eval-auc:0.708741 train-auc:0.740491
[85] eval-auc:0.708863 train-auc:0.741934
[86] eval-auc:0.708726 train-auc:0.741575
[87] eval-auc:0.708696 train-auc:0.741798
[88] eval-auc:0.708776 train-auc:0.742265
[89] eval-auc:0.708794 train-auc:0.742382
[90] eval-auc:0.709272 train-auc:0.743084
[91] eval-auc:0.708256 train-auc:0.744378
[92] eval-auc:0.708784 train-auc:0.744629
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[100] eval-auc:0.709258 train-auc:0.749372
[101] eval-auc:0.709118 train-auc:0.749674
[102] eval-auc:0.709447 train-auc:0.750294
[103] eval-auc:0.70947 train-auc:0.750479
[104] eval-auc:0.708933 train-auc:0.751247
[105] eval-auc:0.708986 train-auc:0.751483
[106] eval-auc:0.709099 train-auc:0.751733
[107] eval-auc:0.709676 train-auc:0.752409
[108] eval-auc:0.7098 train-auc:0.752626
[109] eval-auc:0.709258 train-auc:0.752365
[110] eval-auc:0.709027 train-auc:0.752377
[111] eval-auc:0.70866 train-auc:0.753169
[112] eval-auc:0.708677 train-auc:0.753285
[113] eval-auc:0.709004 train-auc:0.75367
[114] eval-auc:0.709164 train-auc:0.754019
[115] eval-auc:0.708074 train-auc:0.754668
[116] eval-auc:0.708101 train-auc:0.754905
[117] eval-auc:0.708167 train-auc:0.755097
[118] eval-auc:0.708186 train-auc:0.755128
[119] eval-auc:0.708363 train-auc:0.755334
[120] eval-auc:0.708646 train-auc:0.755707
[121] eval-auc:0.708663 train-auc:0.755903
[122] eval-auc:0.708636 train-auc:0.756436
[123] eval-auc:0.708648 train-auc:0.756508
[124] eval-auc:0.708841 train-auc:0.756801
[125] eval-auc:0.708709 train-auc:0.757445
[126] eval-auc:0.708989 train-auc:0.757785
[127] eval-auc:0.709436 train-auc:0.758085
[128] eval-auc:0.709591 train-auc:0.758241
[129] eval-auc:0.709745 train-auc:0.7586
[130] eval-auc:0.709993 train-auc:0.758754
[131] eval-auc:0.709954 train-auc:0.75906
[132] eval-auc:0.709335 train-auc:0.758748
[133] eval-auc:0.709041 train-auc:0.758511
[134] eval-auc:0.70921 train-auc:0.758485
[135] eval-auc:0.708247 train-auc:0.759015
[136] eval-auc:0.708377 train-auc:0.759598
[137] eval-auc:0.708387 train-auc:0.759647
[138] eval-auc:0.708476 train-auc:0.759678
[139] eval-auc:0.708664 train-auc:0.760102
[140] eval-auc:0.708901 train-auc:0.760419
[141] eval-auc:0.708907 train-auc:0.760446
[142] eval-auc:0.709031 train-auc:0.760586
[143] eval-auc:0.709013 train-auc:0.760904
[144] eval-auc:0.709313 train-auc:0.761254
[145] eval-auc:0.708896 train-auc:0.761524
[146] eval-auc:0.709051 train-auc:0.761737
[147] eval-auc:0.709618 train-auc:0.762123
[148] eval-auc:0.70886 train-auc:0.763079
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[150] eval-auc:0.709042 train-auc:0.763974
[151] eval-auc:0.709652 train-auc:0.764362
[152] eval-auc:0.7096 train-auc:0.764571
[153] eval-auc:0.709874 train-auc:0.764792
[154] eval-auc:0.709587 train-auc:0.765278
[155] eval-auc:0.709711 train-auc:0.765616
[156] eval-auc:0.709749 train-auc:0.766203
[157] eval-auc:0.709756 train-auc:0.766221
[158] eval-auc:0.709796 train-auc:0.766334
[159] eval-auc:0.709869 train-auc:0.766456
[160] eval-auc:0.709895 train-auc:0.766765
[161] eval-auc:0.709356 train-auc:0.767476
[162] eval-auc:0.709433 train-auc:0.768225
[163] eval-auc:0.709419 train-auc:0.768466
[164] eval-auc:0.709584 train-auc:0.768639
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[167] eval-auc:0.708612 train-auc:0.769489
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[169] eval-auc:0.708454 train-auc:0.769959
[170] eval-auc:0.708514 train-auc:0.770207
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[172] eval-auc:0.708721 train-auc:0.770499
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[175] eval-auc:0.709288 train-auc:0.771191
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[179] eval-auc:0.709312 train-auc:0.771941
[180] eval-auc:0.709462 train-auc:0.772306
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[185] eval-auc:0.70954 train-auc:0.772957
[186] eval-auc:0.709546 train-auc:0.772974
[187] eval-auc:0.709604 train-auc:0.773049
[188] eval-auc:0.709577 train-auc:0.773125
[189] eval-auc:0.709787 train-auc:0.773217
[190] eval-auc:0.710064 train-auc:0.773544
[191] eval-auc:0.710142 train-auc:0.773725
[192] eval-auc:0.71025 train-auc:0.774303
[193] eval-auc:0.711003 train-auc:0.77518
[194] eval-auc:0.711015 train-auc:0.775587
[195] eval-auc:0.711029 train-auc:0.776085
[196] eval-auc:0.711056 train-auc:0.776329
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[237] eval-auc:0.711468 train-auc:0.788123
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[241] eval-auc:0.711731 train-auc:0.789164
[242] eval-auc:0.711704 train-auc:0.789299
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[245] eval-auc:0.711632 train-auc:0.789902
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[250] eval-auc:0.711444 train-auc:0.79114
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[260] eval-auc:0.711092 train-auc:0.793442
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[263] eval-auc:0.710691 train-auc:0.794041
[264] eval-auc:0.710961 train-auc:0.794357
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[277] eval-auc:0.710879 train-auc:0.799104
[278] eval-auc:0.711063 train-auc:0.799474
[279] eval-auc:0.710887 train-auc:0.799935
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[286] eval-auc:0.709962 train-auc:0.801379
[287] eval-auc:0.709578 train-auc:0.801513
[288] eval-auc:0.709823 train-auc:0.80164
[289] eval-auc:0.709659 train-auc:0.801884
[290] eval-auc:0.709854 train-auc:0.802187
[291] eval-auc:0.710043 train-auc:0.802573
Score 0.7100426061957144
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9500000000000001, 'eta': 0.1, 'eval_metric': 'auc', 'gamma': 1.0, 'max_depth': 2, 'min_child_weight': 1.0, 'n_estimators': 163.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.670464 train-auc:0.689717
[1] eval-auc:0.669684 train-auc:0.690297
[2] eval-auc:0.698279 train-auc:0.716669
[3] eval-auc:0.695428 train-auc:0.714394
[4] eval-auc:0.695446 train-auc:0.715741
[5] eval-auc:0.694752 train-auc:0.710872
[6] eval-auc:0.693936 train-auc:0.71309
[7] eval-auc:0.69518 train-auc:0.71383
[8] eval-auc:0.695036 train-auc:0.713954
[9] eval-auc:0.69468 train-auc:0.71427
[10] eval-auc:0.696352 train-auc:0.714604
[11] eval-auc:0.697702 train-auc:0.715264
[12] eval-auc:0.698823 train-auc:0.718023
[13] eval-auc:0.703534 train-auc:0.720097
[14] eval-auc:0.699578 train-auc:0.719127
[15] eval-auc:0.701499 train-auc:0.720151
[16] eval-auc:0.701559 train-auc:0.722489
[17] eval-auc:0.698233 train-auc:0.718984
[18] eval-auc:0.698075 train-auc:0.720233
[19] eval-auc:0.697408 train-auc:0.721785
[20] eval-auc:0.697488 train-auc:0.722355
[21] eval-auc:0.697541 train-auc:0.722501
[22] eval-auc:0.698655 train-auc:0.724951
[23] eval-auc:0.697644 train-auc:0.723493
[24] eval-auc:0.699288 train-auc:0.724522
[25] eval-auc:0.700146 train-auc:0.725609
[26] eval-auc:0.702367 train-auc:0.72648
[27] eval-auc:0.700773 train-auc:0.727765
[28] eval-auc:0.701453 train-auc:0.728675
[29] eval-auc:0.703397 train-auc:0.728441
[30] eval-auc:0.70355 train-auc:0.728893
[31] eval-auc:0.703502 train-auc:0.729922
[32] eval-auc:0.704345 train-auc:0.731147
[33] eval-auc:0.704626 train-auc:0.730319
[34] eval-auc:0.704297 train-auc:0.73206
[35] eval-auc:0.703624 train-auc:0.732484
[36] eval-auc:0.703708 train-auc:0.733031
[37] eval-auc:0.703135 train-auc:0.73235
[38] eval-auc:0.703153 train-auc:0.732576
[39] eval-auc:0.702642 train-auc:0.731272
[40] eval-auc:0.701476 train-auc:0.731171
[41] eval-auc:0.702086 train-auc:0.731796
[42] eval-auc:0.702807 train-auc:0.732611
[43] eval-auc:0.704621 train-auc:0.733759
[44] eval-auc:0.70559 train-auc:0.734799
[45] eval-auc:0.705776 train-auc:0.73489
[46] eval-auc:0.706222 train-auc:0.735109
[47] eval-auc:0.706583 train-auc:0.735655
[48] eval-auc:0.707472 train-auc:0.736171
[49] eval-auc:0.707949 train-auc:0.73697
[50] eval-auc:0.707873 train-auc:0.737643
[51] eval-auc:0.708164 train-auc:0.737798
[52] eval-auc:0.708611 train-auc:0.738041
[53] eval-auc:0.709359 train-auc:0.739204
[54] eval-auc:0.709048 train-auc:0.739191
[55] eval-auc:0.709135 train-auc:0.739413
[56] eval-auc:0.709554 train-auc:0.739201
[57] eval-auc:0.709469 train-auc:0.739264
[58] eval-auc:0.708829 train-auc:0.739202
[59] eval-auc:0.708274 train-auc:0.740701
[60] eval-auc:0.707917 train-auc:0.74205
[61] eval-auc:0.708019 train-auc:0.742316
[62] eval-auc:0.708238 train-auc:0.742472
[63] eval-auc:0.70857 train-auc:0.74398
[64] eval-auc:0.708791 train-auc:0.74454
[65] eval-auc:0.709166 train-auc:0.745287
[66] eval-auc:0.709426 train-auc:0.746238
[67] eval-auc:0.709517 train-auc:0.74662
[68] eval-auc:0.709884 train-auc:0.746784
[69] eval-auc:0.709179 train-auc:0.747745
[70] eval-auc:0.70847 train-auc:0.747476
[71] eval-auc:0.709028 train-auc:0.747868
[72] eval-auc:0.709674 train-auc:0.748173
[73] eval-auc:0.709913 train-auc:0.748858
[74] eval-auc:0.709546 train-auc:0.749652
[75] eval-auc:0.709749 train-auc:0.749889
[76] eval-auc:0.710095 train-auc:0.750471
[77] eval-auc:0.71015 train-auc:0.750362
[78] eval-auc:0.709954 train-auc:0.751008
[79] eval-auc:0.71047 train-auc:0.751437
[80] eval-auc:0.710933 train-auc:0.752228
[81] eval-auc:0.711021 train-auc:0.752321
[82] eval-auc:0.709328 train-auc:0.753179
[83] eval-auc:0.709372 train-auc:0.753412
[84] eval-auc:0.708095 train-auc:0.754141
[85] eval-auc:0.708533 train-auc:0.755333
[86] eval-auc:0.709019 train-auc:0.755777
[87] eval-auc:0.709339 train-auc:0.756272
[88] eval-auc:0.708716 train-auc:0.756692
[89] eval-auc:0.708793 train-auc:0.757124
[90] eval-auc:0.708927 train-auc:0.757116
[91] eval-auc:0.708597 train-auc:0.757489
[92] eval-auc:0.709072 train-auc:0.757729
[93] eval-auc:0.708515 train-auc:0.758522
[94] eval-auc:0.709038 train-auc:0.759021
[95] eval-auc:0.7089 train-auc:0.759412
[96] eval-auc:0.708925 train-auc:0.759665
[97] eval-auc:0.708966 train-auc:0.760034
[98] eval-auc:0.709294 train-auc:0.760691
[99] eval-auc:0.709203 train-auc:0.76093
[100] eval-auc:0.709418 train-auc:0.760926
[101] eval-auc:0.70916 train-auc:0.760919
[102] eval-auc:0.709098 train-auc:0.761307
[103] eval-auc:0.70889 train-auc:0.761529
[104] eval-auc:0.708639 train-auc:0.761775
[105] eval-auc:0.708377 train-auc:0.762268
[106] eval-auc:0.708125 train-auc:0.762345
[107] eval-auc:0.708206 train-auc:0.76269
[108] eval-auc:0.708588 train-auc:0.762749
[109] eval-auc:0.708982 train-auc:0.763205
[110] eval-auc:0.708914 train-auc:0.763617
[111] eval-auc:0.709258 train-auc:0.76403
[112] eval-auc:0.709714 train-auc:0.764538
[113] eval-auc:0.709844 train-auc:0.765329
[114] eval-auc:0.709973 train-auc:0.766127
[115] eval-auc:0.709937 train-auc:0.766738
[116] eval-auc:0.7101 train-auc:0.767181
[117] eval-auc:0.710259 train-auc:0.767495
[118] eval-auc:0.709878 train-auc:0.767847
[119] eval-auc:0.709312 train-auc:0.769032
[120] eval-auc:0.709354 train-auc:0.769841
[121] eval-auc:0.709418 train-auc:0.770304
[122] eval-auc:0.70966 train-auc:0.771052
[123] eval-auc:0.709175 train-auc:0.771954
[124] eval-auc:0.709558 train-auc:0.772674
[125] eval-auc:0.709359 train-auc:0.773156
[126] eval-auc:0.709909 train-auc:0.773671
[127] eval-auc:0.709938 train-auc:0.774235
[128] eval-auc:0.710244 train-auc:0.774758
[129] eval-auc:0.709965 train-auc:0.775991
[130] eval-auc:0.710206 train-auc:0.775817
[131] eval-auc:0.710134 train-auc:0.775926
[132] eval-auc:0.710219 train-auc:0.776362
[133] eval-auc:0.710096 train-auc:0.776853
[134] eval-auc:0.709931 train-auc:0.77708
[135] eval-auc:0.710119 train-auc:0.777617
[136] eval-auc:0.710496 train-auc:0.778094
[137] eval-auc:0.710539 train-auc:0.778644
[138] eval-auc:0.710106 train-auc:0.779108
[139] eval-auc:0.710065 train-auc:0.779203
[140] eval-auc:0.710225 train-auc:0.779268
[141] eval-auc:0.710462 train-auc:0.77984
[142] eval-auc:0.709713 train-auc:0.780234
[143] eval-auc:0.709687 train-auc:0.781388
[144] eval-auc:0.709547 train-auc:0.781977
[145] eval-auc:0.710158 train-auc:0.782284
[146] eval-auc:0.709404 train-auc:0.782845
[147] eval-auc:0.709879 train-auc:0.784415
[148] eval-auc:0.709932 train-auc:0.78493
[149] eval-auc:0.710325 train-auc:0.785292
[150] eval-auc:0.710378 train-auc:0.785182
[151] eval-auc:0.710474 train-auc:0.785115
[152] eval-auc:0.710445 train-auc:0.785055
[153] eval-auc:0.710607 train-auc:0.785058
[154] eval-auc:0.711233 train-auc:0.785742
[155] eval-auc:0.710893 train-auc:0.785944
[156] eval-auc:0.711188 train-auc:0.786712
[157] eval-auc:0.71086 train-auc:0.787026
[158] eval-auc:0.711219 train-auc:0.787354
[159] eval-auc:0.711315 train-auc:0.786678
[160] eval-auc:0.711321 train-auc:0.786962
[161] eval-auc:0.710972 train-auc:0.787469
[162] eval-auc:0.710148 train-auc:0.787759
Score 0.7101484364531179
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9, 'eta': 0.125, 'eval_metric': 'auc', 'gamma': 0.9500000000000001, 'max_depth': 2, 'min_child_weight': 2.0, 'n_estimators': 247.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.6000000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.66852 train-auc:0.684994
[1] eval-auc:0.668974 train-auc:0.685366
[2] eval-auc:0.700104 train-auc:0.712255
[3] eval-auc:0.701167 train-auc:0.711264
[4] eval-auc:0.697226 train-auc:0.714622
[5] eval-auc:0.696576 train-auc:0.708724
[6] eval-auc:0.696697 train-auc:0.709916
[7] eval-auc:0.69522 train-auc:0.713057
[8] eval-auc:0.700492 train-auc:0.715389
[9] eval-auc:0.699307 train-auc:0.717127
[10] eval-auc:0.697895 train-auc:0.715888
[11] eval-auc:0.696226 train-auc:0.716897
[12] eval-auc:0.699116 train-auc:0.717897
[13] eval-auc:0.699593 train-auc:0.717127
[14] eval-auc:0.699056 train-auc:0.719017
[15] eval-auc:0.699322 train-auc:0.71998
[16] eval-auc:0.698898 train-auc:0.721151
[17] eval-auc:0.700018 train-auc:0.72091
[18] eval-auc:0.698543 train-auc:0.720779
[19] eval-auc:0.695217 train-auc:0.719932
[20] eval-auc:0.696698 train-auc:0.720648
[21] eval-auc:0.698731 train-auc:0.721021
[22] eval-auc:0.699543 train-auc:0.721882
[23] eval-auc:0.698591 train-auc:0.722215
[24] eval-auc:0.698025 train-auc:0.722811
[25] eval-auc:0.698112 train-auc:0.722834
[26] eval-auc:0.69995 train-auc:0.724812
[27] eval-auc:0.701122 train-auc:0.725806
[28] eval-auc:0.699922 train-auc:0.72539
[29] eval-auc:0.700439 train-auc:0.72597
[30] eval-auc:0.700975 train-auc:0.72705
[31] eval-auc:0.701353 train-auc:0.727605
[32] eval-auc:0.700479 train-auc:0.727529
[33] eval-auc:0.700361 train-auc:0.728564
[34] eval-auc:0.700136 train-auc:0.729648
[35] eval-auc:0.699368 train-auc:0.731484
[36] eval-auc:0.699403 train-auc:0.732893
[37] eval-auc:0.700369 train-auc:0.734042
[38] eval-auc:0.699855 train-auc:0.734259
[39] eval-auc:0.700813 train-auc:0.735213
[40] eval-auc:0.700428 train-auc:0.736113
[41] eval-auc:0.700388 train-auc:0.736463
[42] eval-auc:0.701023 train-auc:0.737638
[43] eval-auc:0.701476 train-auc:0.738891
[44] eval-auc:0.70213 train-auc:0.740117
[45] eval-auc:0.702405 train-auc:0.741457
[46] eval-auc:0.702399 train-auc:0.741186
[47] eval-auc:0.701393 train-auc:0.741385
[48] eval-auc:0.703049 train-auc:0.741903
[49] eval-auc:0.703939 train-auc:0.743135
[50] eval-auc:0.704616 train-auc:0.744119
[51] eval-auc:0.703935 train-auc:0.744264
[52] eval-auc:0.703929 train-auc:0.746572
[53] eval-auc:0.704219 train-auc:0.747707
[54] eval-auc:0.705161 train-auc:0.748741
[55] eval-auc:0.706103 train-auc:0.750353
[56] eval-auc:0.706616 train-auc:0.75139
[57] eval-auc:0.706937 train-auc:0.751665
[58] eval-auc:0.706831 train-auc:0.751954
[59] eval-auc:0.7061 train-auc:0.752426
[60] eval-auc:0.705557 train-auc:0.754393
[61] eval-auc:0.70577 train-auc:0.754605
[62] eval-auc:0.705543 train-auc:0.755368
[63] eval-auc:0.706074 train-auc:0.756576
[64] eval-auc:0.706421 train-auc:0.757767
[65] eval-auc:0.706581 train-auc:0.757412
[66] eval-auc:0.706718 train-auc:0.757124
[67] eval-auc:0.706428 train-auc:0.757452
[68] eval-auc:0.706353 train-auc:0.759008
[69] eval-auc:0.706455 train-auc:0.760069
[70] eval-auc:0.706146 train-auc:0.761322
[71] eval-auc:0.707697 train-auc:0.762924
[72] eval-auc:0.708515 train-auc:0.763874
[73] eval-auc:0.708502 train-auc:0.763983
[74] eval-auc:0.709089 train-auc:0.764258
[75] eval-auc:0.708521 train-auc:0.764752
[76] eval-auc:0.709082 train-auc:0.765471
[77] eval-auc:0.707755 train-auc:0.765992
[78] eval-auc:0.708074 train-auc:0.766819
[79] eval-auc:0.707905 train-auc:0.766721
[80] eval-auc:0.707506 train-auc:0.767404
[81] eval-auc:0.70755 train-auc:0.768497
[82] eval-auc:0.707556 train-auc:0.770127
[83] eval-auc:0.7074 train-auc:0.770986
[84] eval-auc:0.705982 train-auc:0.771717
[85] eval-auc:0.70593 train-auc:0.772498
[86] eval-auc:0.705871 train-auc:0.772327
[87] eval-auc:0.705436 train-auc:0.773727
[88] eval-auc:0.706358 train-auc:0.774666
[89] eval-auc:0.706244 train-auc:0.77527
[90] eval-auc:0.7059 train-auc:0.775765
[91] eval-auc:0.705967 train-auc:0.776685
[92] eval-auc:0.705439 train-auc:0.777928
[93] eval-auc:0.705291 train-auc:0.777133
[94] eval-auc:0.706218 train-auc:0.778264
[95] eval-auc:0.706744 train-auc:0.778969
[96] eval-auc:0.706567 train-auc:0.779267
[97] eval-auc:0.705979 train-auc:0.7797
[98] eval-auc:0.706068 train-auc:0.780137
[99] eval-auc:0.70683 train-auc:0.781102
[100] eval-auc:0.706313 train-auc:0.781142
[101] eval-auc:0.706363 train-auc:0.780957
[102] eval-auc:0.706738 train-auc:0.782301
[103] eval-auc:0.705968 train-auc:0.782803
[104] eval-auc:0.706082 train-auc:0.782082
[105] eval-auc:0.706221 train-auc:0.781963
[106] eval-auc:0.70676 train-auc:0.783059
[107] eval-auc:0.707532 train-auc:0.783419
[108] eval-auc:0.707314 train-auc:0.783854
[109] eval-auc:0.706683 train-auc:0.784483
[110] eval-auc:0.70637 train-auc:0.784638
[111] eval-auc:0.706161 train-auc:0.786199
[112] eval-auc:0.706004 train-auc:0.786645
[113] eval-auc:0.706093 train-auc:0.786966
[114] eval-auc:0.705592 train-auc:0.787559
[115] eval-auc:0.705363 train-auc:0.788965
[116] eval-auc:0.704886 train-auc:0.788583
[117] eval-auc:0.705201 train-auc:0.78939
[118] eval-auc:0.705701 train-auc:0.79009
[119] eval-auc:0.705643 train-auc:0.789442
[120] eval-auc:0.705036 train-auc:0.788437
[121] eval-auc:0.705578 train-auc:0.787543
[122] eval-auc:0.705616 train-auc:0.787884
[123] eval-auc:0.705031 train-auc:0.789444
[124] eval-auc:0.70478 train-auc:0.789828
[125] eval-auc:0.706087 train-auc:0.790561
[126] eval-auc:0.70633 train-auc:0.791396
[127] eval-auc:0.705653 train-auc:0.791332
[128] eval-auc:0.706114 train-auc:0.792241
[129] eval-auc:0.706173 train-auc:0.793682
[130] eval-auc:0.706397 train-auc:0.794497
[131] eval-auc:0.706887 train-auc:0.794315
[132] eval-auc:0.70647 train-auc:0.794142
[133] eval-auc:0.706804 train-auc:0.795026
[134] eval-auc:0.707673 train-auc:0.796959
[135] eval-auc:0.706587 train-auc:0.797832
[136] eval-auc:0.706164 train-auc:0.798176
[137] eval-auc:0.705302 train-auc:0.798452
[138] eval-auc:0.705726 train-auc:0.798286
[139] eval-auc:0.705426 train-auc:0.798319
[140] eval-auc:0.704617 train-auc:0.798337
[141] eval-auc:0.704967 train-auc:0.798406
[142] eval-auc:0.70578 train-auc:0.798578
[143] eval-auc:0.705611 train-auc:0.798582
[144] eval-auc:0.706134 train-auc:0.798993
[145] eval-auc:0.706023 train-auc:0.798822
[146] eval-auc:0.705882 train-auc:0.79906
[147] eval-auc:0.706291 train-auc:0.79929
[148] eval-auc:0.706122 train-auc:0.799179
[149] eval-auc:0.705985 train-auc:0.798311
[150] eval-auc:0.705889 train-auc:0.798629
[151] eval-auc:0.706772 train-auc:0.799762
[152] eval-auc:0.706827 train-auc:0.80019
[153] eval-auc:0.706399 train-auc:0.800622
[154] eval-auc:0.706978 train-auc:0.801819
[155] eval-auc:0.707185 train-auc:0.802424
[156] eval-auc:0.707205 train-auc:0.802242
[157] eval-auc:0.707665 train-auc:0.802457
[158] eval-auc:0.707781 train-auc:0.803183
[159] eval-auc:0.707573 train-auc:0.80441
[160] eval-auc:0.707167 train-auc:0.804736
[161] eval-auc:0.706688 train-auc:0.805156
[162] eval-auc:0.706462 train-auc:0.805437
[163] eval-auc:0.704979 train-auc:0.805561
[164] eval-auc:0.704392 train-auc:0.806398
[165] eval-auc:0.705006 train-auc:0.806854
[166] eval-auc:0.704496 train-auc:0.80711
[167] eval-auc:0.703863 train-auc:0.807677
[168] eval-auc:0.704648 train-auc:0.807586
[169] eval-auc:0.705926 train-auc:0.807724
[170] eval-auc:0.706445 train-auc:0.807644
[171] eval-auc:0.706039 train-auc:0.80832
[172] eval-auc:0.706078 train-auc:0.809113
[173] eval-auc:0.706197 train-auc:0.809454
[174] eval-auc:0.706081 train-auc:0.810039
[175] eval-auc:0.705722 train-auc:0.809994
[176] eval-auc:0.705535 train-auc:0.810795
[177] eval-auc:0.70497 train-auc:0.811426
[178] eval-auc:0.705075 train-auc:0.811928
[179] eval-auc:0.706092 train-auc:0.812955
[180] eval-auc:0.705895 train-auc:0.812704
[181] eval-auc:0.705503 train-auc:0.813313
[182] eval-auc:0.705716 train-auc:0.813714
[183] eval-auc:0.704627 train-auc:0.813531
[184] eval-auc:0.704402 train-auc:0.81382
[185] eval-auc:0.704161 train-auc:0.814024
[186] eval-auc:0.704469 train-auc:0.814288
[187] eval-auc:0.703803 train-auc:0.814869
[188] eval-auc:0.704134 train-auc:0.815233
[189] eval-auc:0.703608 train-auc:0.815055
[190] eval-auc:0.703802 train-auc:0.814258
[191] eval-auc:0.703596 train-auc:0.814558
[192] eval-auc:0.703482 train-auc:0.814856
[193] eval-auc:0.704306 train-auc:0.815584
[194] eval-auc:0.704615 train-auc:0.81594
[195] eval-auc:0.70436 train-auc:0.815871
[196] eval-auc:0.704519 train-auc:0.816229
[197] eval-auc:0.704359 train-auc:0.816165
[198] eval-auc:0.704488 train-auc:0.816548
[199] eval-auc:0.704732 train-auc:0.817108
[200] eval-auc:0.705196 train-auc:0.817672
[201] eval-auc:0.705423 train-auc:0.818372
[202] eval-auc:0.705772 train-auc:0.819059
[203] eval-auc:0.706241 train-auc:0.819785
[204] eval-auc:0.706107 train-auc:0.820082
[205] eval-auc:0.706456 train-auc:0.820628
[206] eval-auc:0.706134 train-auc:0.820653
[207] eval-auc:0.706212 train-auc:0.821208
[208] eval-auc:0.706197 train-auc:0.821714
[209] eval-auc:0.706567 train-auc:0.82194
[210] eval-auc:0.706214 train-auc:0.821801
[211] eval-auc:0.705579 train-auc:0.821733
[212] eval-auc:0.706134 train-auc:0.822297
[213] eval-auc:0.705926 train-auc:0.822429
[214] eval-auc:0.705844 train-auc:0.822241
[215] eval-auc:0.705739 train-auc:0.821996
[216] eval-auc:0.706203 train-auc:0.822541
[217] eval-auc:0.706136 train-auc:0.822547
[218] eval-auc:0.705404 train-auc:0.823353
[219] eval-auc:0.706348 train-auc:0.823646
[220] eval-auc:0.70689 train-auc:0.82394
[221] eval-auc:0.7068 train-auc:0.824501
[222] eval-auc:0.706902 train-auc:0.82533
[223] eval-auc:0.706477 train-auc:0.825375
[224] eval-auc:0.706314 train-auc:0.825639
[225] eval-auc:0.705833 train-auc:0.825398
[226] eval-auc:0.705678 train-auc:0.825696
[227] eval-auc:0.705968 train-auc:0.825718
[228] eval-auc:0.706215 train-auc:0.825946
[229] eval-auc:0.705442 train-auc:0.82661
[230] eval-auc:0.705097 train-auc:0.826745
[231] eval-auc:0.704901 train-auc:0.826735
[232] eval-auc:0.705082 train-auc:0.827401
[233] eval-auc:0.704268 train-auc:0.827482
[234] eval-auc:0.704184 train-auc:0.827596
[235] eval-auc:0.704217 train-auc:0.827623
[236] eval-auc:0.704479 train-auc:0.828048
[237] eval-auc:0.704727 train-auc:0.827357
[238] eval-auc:0.704636 train-auc:0.826961
[239] eval-auc:0.70453 train-auc:0.826237
[240] eval-auc:0.705026 train-auc:0.826369
[241] eval-auc:0.705037 train-auc:0.826789
[242] eval-auc:0.705397 train-auc:0.827564
[243] eval-auc:0.705122 train-auc:0.828025
[244] eval-auc:0.705465 train-auc:0.828457
[245] eval-auc:0.705286 train-auc:0.829497
[246] eval-auc:0.7051 train-auc:0.829725
Score 0.7050998002168379
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 1.0, 'eta': 0.17500000000000002, 'eval_metric': 'auc', 'gamma': 0.9, 'max_depth': 2, 'min_child_weight': 1.0, 'n_estimators': 372.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.669332 train-auc:0.690256
[1] eval-auc:0.696196 train-auc:0.712004
[2] eval-auc:0.698935 train-auc:0.713637
[3] eval-auc:0.70077 train-auc:0.715866
[4] eval-auc:0.70077 train-auc:0.715866
[5] eval-auc:0.70298 train-auc:0.717904
[6] eval-auc:0.708143 train-auc:0.724163
[7] eval-auc:0.704965 train-auc:0.723371
[8] eval-auc:0.701752 train-auc:0.716347
[9] eval-auc:0.705307 train-auc:0.719899
[10] eval-auc:0.702574 train-auc:0.719514
[11] eval-auc:0.700566 train-auc:0.719054
[12] eval-auc:0.700543 train-auc:0.723543
[13] eval-auc:0.701695 train-auc:0.725401
[14] eval-auc:0.698806 train-auc:0.726382
[15] eval-auc:0.700972 train-auc:0.726888
[16] eval-auc:0.701522 train-auc:0.72563
[17] eval-auc:0.702094 train-auc:0.728223
[18] eval-auc:0.703386 train-auc:0.728613
[19] eval-auc:0.706393 train-auc:0.730994
[20] eval-auc:0.705817 train-auc:0.73279
[21] eval-auc:0.708439 train-auc:0.733099
[22] eval-auc:0.708648 train-auc:0.733829
[23] eval-auc:0.708481 train-auc:0.734127
[24] eval-auc:0.708967 train-auc:0.73447
[25] eval-auc:0.707373 train-auc:0.734619
[26] eval-auc:0.705819 train-auc:0.733808
[27] eval-auc:0.70804 train-auc:0.735723
[28] eval-auc:0.709829 train-auc:0.736165
[29] eval-auc:0.710356 train-auc:0.736475
[30] eval-auc:0.709897 train-auc:0.737263
[31] eval-auc:0.710301 train-auc:0.737621
[32] eval-auc:0.710761 train-auc:0.73842
[33] eval-auc:0.710917 train-auc:0.738981
[34] eval-auc:0.711808 train-auc:0.740388
[35] eval-auc:0.711529 train-auc:0.742443
[36] eval-auc:0.709982 train-auc:0.744662
[37] eval-auc:0.710193 train-auc:0.745356
[38] eval-auc:0.71113 train-auc:0.748115
[39] eval-auc:0.711121 train-auc:0.748314
[40] eval-auc:0.711502 train-auc:0.74894
[41] eval-auc:0.711402 train-auc:0.749349
[42] eval-auc:0.710157 train-auc:0.748773
[43] eval-auc:0.712371 train-auc:0.749827
[44] eval-auc:0.712386 train-auc:0.750005
[45] eval-auc:0.712564 train-auc:0.750794
[46] eval-auc:0.71265 train-auc:0.751704
[47] eval-auc:0.711685 train-auc:0.751141
[48] eval-auc:0.710853 train-auc:0.752804
[49] eval-auc:0.712015 train-auc:0.754279
[50] eval-auc:0.709608 train-auc:0.755484
[51] eval-auc:0.709655 train-auc:0.755772
[52] eval-auc:0.709899 train-auc:0.756571
[53] eval-auc:0.709181 train-auc:0.75794
[54] eval-auc:0.709561 train-auc:0.758795
[55] eval-auc:0.709616 train-auc:0.759397
[56] eval-auc:0.709293 train-auc:0.760547
[57] eval-auc:0.709638 train-auc:0.760952
[58] eval-auc:0.709659 train-auc:0.761066
[59] eval-auc:0.709067 train-auc:0.762486
[60] eval-auc:0.709954 train-auc:0.763422
[61] eval-auc:0.709943 train-auc:0.764002
[62] eval-auc:0.710401 train-auc:0.764446
[63] eval-auc:0.71051 train-auc:0.764979
[64] eval-auc:0.710722 train-auc:0.765517
[65] eval-auc:0.710685 train-auc:0.766511
[66] eval-auc:0.712215 train-auc:0.768585
[67] eval-auc:0.712483 train-auc:0.769474
[68] eval-auc:0.712588 train-auc:0.770338
[69] eval-auc:0.713284 train-auc:0.771012
[70] eval-auc:0.713158 train-auc:0.771448
[71] eval-auc:0.713112 train-auc:0.771861
[72] eval-auc:0.713129 train-auc:0.771922
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[74] eval-auc:0.712356 train-auc:0.770923
[75] eval-auc:0.712557 train-auc:0.771692
[76] eval-auc:0.712842 train-auc:0.772559
[77] eval-auc:0.712911 train-auc:0.772809
[78] eval-auc:0.713122 train-auc:0.773072
[79] eval-auc:0.713612 train-auc:0.773763
[80] eval-auc:0.713778 train-auc:0.773818
[81] eval-auc:0.713991 train-auc:0.775206
[82] eval-auc:0.714063 train-auc:0.775664
[83] eval-auc:0.712312 train-auc:0.777303
[84] eval-auc:0.712579 train-auc:0.778573
[85] eval-auc:0.712723 train-auc:0.779109
[86] eval-auc:0.712225 train-auc:0.780416
[87] eval-auc:0.712186 train-auc:0.781218
[88] eval-auc:0.712254 train-auc:0.782117
[89] eval-auc:0.713437 train-auc:0.782886
[90] eval-auc:0.713298 train-auc:0.783573
[91] eval-auc:0.713214 train-auc:0.78386
[92] eval-auc:0.712406 train-auc:0.785004
[93] eval-auc:0.711987 train-auc:0.785824
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[95] eval-auc:0.710408 train-auc:0.786027
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[100] eval-auc:0.709815 train-auc:0.789725
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[102] eval-auc:0.710847 train-auc:0.790504
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[104] eval-auc:0.710346 train-auc:0.791952
[105] eval-auc:0.710181 train-auc:0.792204
[106] eval-auc:0.710353 train-auc:0.792603
[107] eval-auc:0.709505 train-auc:0.792926
[108] eval-auc:0.709476 train-auc:0.793299
[109] eval-auc:0.709683 train-auc:0.793958
[110] eval-auc:0.709283 train-auc:0.795186
[111] eval-auc:0.708732 train-auc:0.79606
[112] eval-auc:0.708824 train-auc:0.796689
[113] eval-auc:0.708827 train-auc:0.796723
[114] eval-auc:0.708728 train-auc:0.798261
[115] eval-auc:0.708726 train-auc:0.798853
[116] eval-auc:0.708597 train-auc:0.799427
[117] eval-auc:0.709151 train-auc:0.800182
[118] eval-auc:0.70961 train-auc:0.80103
[119] eval-auc:0.709703 train-auc:0.802519
[120] eval-auc:0.709723 train-auc:0.803166
[121] eval-auc:0.70949 train-auc:0.803363
[122] eval-auc:0.708753 train-auc:0.803708
[123] eval-auc:0.70827 train-auc:0.803948
[124] eval-auc:0.706826 train-auc:0.804432
[125] eval-auc:0.707111 train-auc:0.805127
[126] eval-auc:0.707099 train-auc:0.805565
[127] eval-auc:0.707096 train-auc:0.805573
[128] eval-auc:0.706315 train-auc:0.805956
[129] eval-auc:0.706559 train-auc:0.806699
[130] eval-auc:0.706475 train-auc:0.807164
[131] eval-auc:0.705406 train-auc:0.808467
[132] eval-auc:0.70605 train-auc:0.809104
[133] eval-auc:0.705921 train-auc:0.809716
[134] eval-auc:0.70646 train-auc:0.810938
[135] eval-auc:0.707367 train-auc:0.811993
[136] eval-auc:0.707472 train-auc:0.812275
[137] eval-auc:0.706898 train-auc:0.812919
[138] eval-auc:0.706898 train-auc:0.813247
[139] eval-auc:0.70683 train-auc:0.813394
[140] eval-auc:0.707124 train-auc:0.813921
[141] eval-auc:0.706801 train-auc:0.814981
[142] eval-auc:0.707553 train-auc:0.8158
[143] eval-auc:0.707991 train-auc:0.81639
[144] eval-auc:0.708255 train-auc:0.817425
[145] eval-auc:0.708295 train-auc:0.817771
[146] eval-auc:0.708142 train-auc:0.818234
[147] eval-auc:0.707921 train-auc:0.818829
[148] eval-auc:0.707507 train-auc:0.818835
[149] eval-auc:0.707688 train-auc:0.818603
[150] eval-auc:0.707801 train-auc:0.818811
[151] eval-auc:0.707516 train-auc:0.819301
[152] eval-auc:0.707233 train-auc:0.818757
[153] eval-auc:0.707081 train-auc:0.819703
[154] eval-auc:0.707717 train-auc:0.82031
[155] eval-auc:0.707787 train-auc:0.820404
[156] eval-auc:0.708151 train-auc:0.820672
[157] eval-auc:0.707758 train-auc:0.820963
[158] eval-auc:0.707663 train-auc:0.821546
[159] eval-auc:0.707896 train-auc:0.821991
[160] eval-auc:0.707349 train-auc:0.82227
[161] eval-auc:0.707353 train-auc:0.822273
[162] eval-auc:0.707757 train-auc:0.822632
[163] eval-auc:0.707564 train-auc:0.822828
[164] eval-auc:0.707612 train-auc:0.823132
[165] eval-auc:0.707603 train-auc:0.82349
[166] eval-auc:0.70766 train-auc:0.823924
[167] eval-auc:0.707807 train-auc:0.824138
[168] eval-auc:0.707154 train-auc:0.824856
[169] eval-auc:0.707465 train-auc:0.825315
[170] eval-auc:0.707058 train-auc:0.825467
[171] eval-auc:0.707011 train-auc:0.826143
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[176] eval-auc:0.708333 train-auc:0.828806
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[179] eval-auc:0.708646 train-auc:0.83004
[180] eval-auc:0.707874 train-auc:0.830328
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[184] eval-auc:0.707398 train-auc:0.831309
[185] eval-auc:0.707296 train-auc:0.831368
[186] eval-auc:0.707204 train-auc:0.83159
[187] eval-auc:0.707209 train-auc:0.831847
[188] eval-auc:0.70675 train-auc:0.832174
[189] eval-auc:0.706932 train-auc:0.832612
[190] eval-auc:0.707093 train-auc:0.832935
[191] eval-auc:0.706999 train-auc:0.832332
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[238] eval-auc:0.703807 train-auc:0.848155
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[270] eval-auc:0.704393 train-auc:0.857373
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[298] eval-auc:0.702781 train-auc:0.865528
[299] eval-auc:0.702749 train-auc:0.865759
[300] eval-auc:0.702462 train-auc:0.865979
[301] eval-auc:0.702489 train-auc:0.866132
[302] eval-auc:0.70207 train-auc:0.866539
[303] eval-auc:0.701894 train-auc:0.8667
[304] eval-auc:0.701743 train-auc:0.866887
[305] eval-auc:0.701744 train-auc:0.866891
[306] eval-auc:0.701846 train-auc:0.867044
[307] eval-auc:0.702066 train-auc:0.867767
[308] eval-auc:0.702297 train-auc:0.868032
[309] eval-auc:0.702425 train-auc:0.868186
[310] eval-auc:0.702553 train-auc:0.868373
[311] eval-auc:0.703176 train-auc:0.868537
[312] eval-auc:0.702957 train-auc:0.868631
[313] eval-auc:0.702472 train-auc:0.869031
[314] eval-auc:0.703033 train-auc:0.869646
[315] eval-auc:0.703345 train-auc:0.869934
[316] eval-auc:0.703162 train-auc:0.870178
[317] eval-auc:0.703895 train-auc:0.870664
[318] eval-auc:0.703546 train-auc:0.871366
[319] eval-auc:0.703473 train-auc:0.871577
[320] eval-auc:0.703133 train-auc:0.871636
[321] eval-auc:0.703321 train-auc:0.872073
[322] eval-auc:0.703321 train-auc:0.87225
[323] eval-auc:0.702896 train-auc:0.872138
[324] eval-auc:0.702468 train-auc:0.872479
[325] eval-auc:0.70296 train-auc:0.872658
[326] eval-auc:0.703401 train-auc:0.873209
[327] eval-auc:0.703407 train-auc:0.873474
[328] eval-auc:0.703063 train-auc:0.873568
[329] eval-auc:0.703122 train-auc:0.873708
[330] eval-auc:0.703097 train-auc:0.873829
[331] eval-auc:0.70393 train-auc:0.874254
[332] eval-auc:0.704106 train-auc:0.874476
[333] eval-auc:0.70438 train-auc:0.87463
[334] eval-auc:0.70454 train-auc:0.874586
[335] eval-auc:0.704741 train-auc:0.875481
[336] eval-auc:0.704872 train-auc:0.875916
[337] eval-auc:0.7045 train-auc:0.875946
[338] eval-auc:0.704459 train-auc:0.876049
[339] eval-auc:0.704057 train-auc:0.876141
[340] eval-auc:0.702989 train-auc:0.876193
[341] eval-auc:0.702842 train-auc:0.876429
[342] eval-auc:0.702809 train-auc:0.876634
[343] eval-auc:0.702521 train-auc:0.876807
[344] eval-auc:0.703008 train-auc:0.877217
[345] eval-auc:0.702705 train-auc:0.877325
[346] eval-auc:0.702746 train-auc:0.877468
[347] eval-auc:0.703011 train-auc:0.878251
[348] eval-auc:0.703231 train-auc:0.878359
[349] eval-auc:0.703386 train-auc:0.878632
[350] eval-auc:0.702954 train-auc:0.878774
[351] eval-auc:0.703432 train-auc:0.879152
[352] eval-auc:0.703588 train-auc:0.879331
[353] eval-auc:0.703649 train-auc:0.879386
[354] eval-auc:0.703789 train-auc:0.879451
[355] eval-auc:0.703476 train-auc:0.879628
[356] eval-auc:0.703319 train-auc:0.879777
[357] eval-auc:0.703098 train-auc:0.879997
[358] eval-auc:0.703008 train-auc:0.880297
[359] eval-auc:0.702909 train-auc:0.880414
[360] eval-auc:0.703215 train-auc:0.880828
[361] eval-auc:0.703579 train-auc:0.881412
[362] eval-auc:0.703556 train-auc:0.882047
[363] eval-auc:0.703439 train-auc:0.882455
[364] eval-auc:0.703381 train-auc:0.882599
[365] eval-auc:0.702964 train-auc:0.882667
[366] eval-auc:0.702816 train-auc:0.882861
[367] eval-auc:0.70289 train-auc:0.883048
[368] eval-auc:0.702654 train-auc:0.883318
[369] eval-auc:0.702797 train-auc:0.883251
[370] eval-auc:0.702603 train-auc:0.883782
[371] eval-auc:0.702285 train-auc:0.88426
Score 0.7022850199174067
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9500000000000001, 'eta': 0.05, 'eval_metric': 'auc', 'gamma': 1.0, 'max_depth': 10, 'min_child_weight': 2.0, 'n_estimators': 840.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.703081 train-auc:0.866393
[1] eval-auc:0.675695 train-auc:0.91416
[2] eval-auc:0.694475 train-auc:0.932627
[3] eval-auc:0.703651 train-auc:0.95184
[4] eval-auc:0.707971 train-auc:0.958554
[5] eval-auc:0.701237 train-auc:0.970931
[6] eval-auc:0.694934 train-auc:0.974923
[7] eval-auc:0.701244 train-auc:0.979577
[8] eval-auc:0.704523 train-auc:0.981494
[9] eval-auc:0.70426 train-auc:0.984674
[10] eval-auc:0.711356 train-auc:0.987437
[11] eval-auc:0.714838 train-auc:0.988506
[12] eval-auc:0.711319 train-auc:0.989773
[13] eval-auc:0.710793 train-auc:0.992125
[14] eval-auc:0.711865 train-auc:0.992719
[15] eval-auc:0.710844 train-auc:0.992908
[16] eval-auc:0.711108 train-auc:0.993713
[17] eval-auc:0.709323 train-auc:0.994589
[18] eval-auc:0.708155 train-auc:0.994725
[19] eval-auc:0.708373 train-auc:0.995076
[20] eval-auc:0.708481 train-auc:0.995911
[21] eval-auc:0.707015 train-auc:0.996262
[22] eval-auc:0.707044 train-auc:0.996676
[23] eval-auc:0.707162 train-auc:0.996992
[24] eval-auc:0.705853 train-auc:0.997571
[25] eval-auc:0.707404 train-auc:0.9978
[26] eval-auc:0.705968 train-auc:0.997958
[27] eval-auc:0.705379 train-auc:0.998095
[28] eval-auc:0.706505 train-auc:0.998213
[29] eval-auc:0.706107 train-auc:0.998343
[30] eval-auc:0.706406 train-auc:0.998475
[31] eval-auc:0.705714 train-auc:0.998563
[32] eval-auc:0.705385 train-auc:0.9987
[33] eval-auc:0.704866 train-auc:0.998694
[34] eval-auc:0.704129 train-auc:0.998781
[35] eval-auc:0.704085 train-auc:0.998941
[36] eval-auc:0.703509 train-auc:0.998965
[37] eval-auc:0.70352 train-auc:0.998966
[38] eval-auc:0.702911 train-auc:0.999034
[39] eval-auc:0.702574 train-auc:0.999024
[40] eval-auc:0.702183 train-auc:0.999076
[41] eval-auc:0.702195 train-auc:0.999136
[42] eval-auc:0.702349 train-auc:0.999215
[43] eval-auc:0.702363 train-auc:0.999262
[44] eval-auc:0.702413 train-auc:0.999293
[45] eval-auc:0.702731 train-auc:0.999305
[46] eval-auc:0.702858 train-auc:0.999396
[47] eval-auc:0.703211 train-auc:0.999425
[48] eval-auc:0.70273 train-auc:0.999471
[49] eval-auc:0.702281 train-auc:0.999544
[50] eval-auc:0.702271 train-auc:0.999561
[51] eval-auc:0.701496 train-auc:0.99959
[52] eval-auc:0.702143 train-auc:0.99963
[53] eval-auc:0.701856 train-auc:0.999642
[54] eval-auc:0.701801 train-auc:0.999654
[55] eval-auc:0.70151 train-auc:0.999667
[56] eval-auc:0.700825 train-auc:0.999674
[57] eval-auc:0.700802 train-auc:0.999701
[58] eval-auc:0.70038 train-auc:0.999729
[59] eval-auc:0.700531 train-auc:0.999739
[60] eval-auc:0.700173 train-auc:0.999754
[61] eval-auc:0.700162 train-auc:0.999756
[62] eval-auc:0.700441 train-auc:0.999766
[63] eval-auc:0.699887 train-auc:0.999785
[64] eval-auc:0.699556 train-auc:0.999794
[65] eval-auc:0.699776 train-auc:0.999786
[66] eval-auc:0.699433 train-auc:0.999816
[67] eval-auc:0.700074 train-auc:0.999849
[68] eval-auc:0.700391 train-auc:0.999854
[69] eval-auc:0.700534 train-auc:0.999854
[70] eval-auc:0.700648 train-auc:0.999869
[71] eval-auc:0.700505 train-auc:0.999893
[72] eval-auc:0.699865 train-auc:0.999907
[73] eval-auc:0.699613 train-auc:0.999906
[74] eval-auc:0.700179 train-auc:0.999911
[75] eval-auc:0.700475 train-auc:0.999911
[76] eval-auc:0.700825 train-auc:0.999935
[77] eval-auc:0.700855 train-auc:0.999934
[78] eval-auc:0.700618 train-auc:0.999933
[79] eval-auc:0.700356 train-auc:0.999933
[80] eval-auc:0.700528 train-auc:0.999935
[81] eval-auc:0.700703 train-auc:0.999936
[82] eval-auc:0.700969 train-auc:0.999941
[83] eval-auc:0.700963 train-auc:0.999954
[84] eval-auc:0.701272 train-auc:0.999958
[85] eval-auc:0.701463 train-auc:0.999961
[86] eval-auc:0.701438 train-auc:0.999964
[87] eval-auc:0.702192 train-auc:0.999965
[88] eval-auc:0.701542 train-auc:0.999969
[89] eval-auc:0.701202 train-auc:0.999973
[90] eval-auc:0.701173 train-auc:0.999973
[91] eval-auc:0.701173 train-auc:0.999973
[92] eval-auc:0.701046 train-auc:0.999972
[93] eval-auc:0.700942 train-auc:0.999972
[94] eval-auc:0.7017 train-auc:0.999975
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[96] eval-auc:0.7011 train-auc:0.999976
[97] eval-auc:0.701236 train-auc:0.999977
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[100] eval-auc:0.701201 train-auc:0.999982
[101] eval-auc:0.701295 train-auc:0.999984
[102] eval-auc:0.701783 train-auc:0.999986
[103] eval-auc:0.701629 train-auc:0.999986
[104] eval-auc:0.70147 train-auc:0.999987
[105] eval-auc:0.701853 train-auc:0.999987
[106] eval-auc:0.701805 train-auc:0.999989
[107] eval-auc:0.701476 train-auc:0.99999
[108] eval-auc:0.701603 train-auc:0.999991
[109] eval-auc:0.701649 train-auc:0.999991
[110] eval-auc:0.701764 train-auc:0.999991
[111] eval-auc:0.701525 train-auc:0.999992
[112] eval-auc:0.701222 train-auc:0.999991
[113] eval-auc:0.700875 train-auc:0.999994
[114] eval-auc:0.70118 train-auc:0.999994
[115] eval-auc:0.701254 train-auc:0.999994
[116] eval-auc:0.701615 train-auc:0.999995
[117] eval-auc:0.701565 train-auc:0.999995
[118] eval-auc:0.701035 train-auc:0.999995
[119] eval-auc:0.70126 train-auc:0.999996
[120] eval-auc:0.701 train-auc:0.999996
[121] eval-auc:0.700989 train-auc:0.999996
[122] eval-auc:0.700899 train-auc:0.999996
[123] eval-auc:0.70079 train-auc:0.999997
[124] eval-auc:0.700963 train-auc:0.999997
[125] eval-auc:0.700851 train-auc:0.999997
[126] eval-auc:0.701038 train-auc:0.999997
[127] eval-auc:0.700598 train-auc:0.999998
[128] eval-auc:0.700753 train-auc:0.999998
[129] eval-auc:0.700541 train-auc:0.999998
[130] eval-auc:0.700875 train-auc:0.999998
[131] eval-auc:0.700615 train-auc:0.999998
[132] eval-auc:0.700631 train-auc:0.999998
[133] eval-auc:0.700689 train-auc:0.999998
[134] eval-auc:0.70052 train-auc:0.999999
[135] eval-auc:0.70068 train-auc:0.999999
[136] eval-auc:0.700322 train-auc:0.999998
[137] eval-auc:0.700421 train-auc:0.999999
[138] eval-auc:0.700513 train-auc:0.999999
[139] eval-auc:0.700331 train-auc:0.999999
[140] eval-auc:0.700225 train-auc:0.999999
[141] eval-auc:0.700175 train-auc:0.999999
[142] eval-auc:0.700549 train-auc:0.999999
[143] eval-auc:0.699974 train-auc:0.999999
[144] eval-auc:0.700027 train-auc:0.999999
[145] eval-auc:0.70027 train-auc:0.999999
[146] eval-auc:0.700389 train-auc:0.999999
[147] eval-auc:0.700475 train-auc:0.999999
[148] eval-auc:0.700313 train-auc:0.999999
[149] eval-auc:0.700522 train-auc:0.999999
[150] eval-auc:0.700797 train-auc:0.999999
[151] eval-auc:0.70047 train-auc:0.999999
[152] eval-auc:0.700272 train-auc:0.999999
[153] eval-auc:0.700263 train-auc:0.999999
[154] eval-auc:0.700511 train-auc:0.999999
[155] eval-auc:0.70021 train-auc:0.999999
[156] eval-auc:0.700356 train-auc:0.999999
[157] eval-auc:0.700066 train-auc:0.999999
[158] eval-auc:0.699948 train-auc:0.999999
[159] eval-auc:0.700391 train-auc:0.999999
[160] eval-auc:0.69984 train-auc:0.999999
[161] eval-auc:0.699884 train-auc:0.999999
[162] eval-auc:0.699905 train-auc:0.999999
[163] eval-auc:0.699827 train-auc:0.999999
[164] eval-auc:0.699923 train-auc:1
[165] eval-auc:0.699925 train-auc:1
[166] eval-auc:0.699902 train-auc:0.999999
[167] eval-auc:0.699983 train-auc:1
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[170] eval-auc:0.699881 train-auc:1
[171] eval-auc:0.699987 train-auc:1
[172] eval-auc:0.700217 train-auc:1
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[174] eval-auc:0.699724 train-auc:1
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[186] eval-auc:0.699891 train-auc:1
[187] eval-auc:0.699742 train-auc:1
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[753] eval-auc:0.70153 train-auc:1
[754] eval-auc:0.70153 train-auc:1
[755] eval-auc:0.701525 train-auc:1
[756] eval-auc:0.701525 train-auc:1
[757] eval-auc:0.701464 train-auc:1
[758] eval-auc:0.701425 train-auc:1
[759] eval-auc:0.701466 train-auc:1
[760] eval-auc:0.701464 train-auc:1
[761] eval-auc:0.701464 train-auc:1
[762] eval-auc:0.701317 train-auc:1
[763] eval-auc:0.701317 train-auc:1
[764] eval-auc:0.701309 train-auc:1
[765] eval-auc:0.701309 train-auc:1
[766] eval-auc:0.701309 train-auc:1
[767] eval-auc:0.701279 train-auc:1
[768] eval-auc:0.701256 train-auc:1
[769] eval-auc:0.701256 train-auc:1
[770] eval-auc:0.701205 train-auc:1
[771] eval-auc:0.701205 train-auc:1
[772] eval-auc:0.701205 train-auc:1
[773] eval-auc:0.701167 train-auc:1
[774] eval-auc:0.701221 train-auc:1
[775] eval-auc:0.701202 train-auc:1
[776] eval-auc:0.701202 train-auc:1
[777] eval-auc:0.701148 train-auc:1
[778] eval-auc:0.701056 train-auc:1
[779] eval-auc:0.70116 train-auc:1
[780] eval-auc:0.701215 train-auc:1
[781] eval-auc:0.701266 train-auc:1
[782] eval-auc:0.701451 train-auc:1
[783] eval-auc:0.701475 train-auc:1
[784] eval-auc:0.701486 train-auc:1
[785] eval-auc:0.701425 train-auc:1
[786] eval-auc:0.701387 train-auc:1
[787] eval-auc:0.701368 train-auc:1
[788] eval-auc:0.701368 train-auc:1
[789] eval-auc:0.701313 train-auc:1
[790] eval-auc:0.701315 train-auc:1
[791] eval-auc:0.70134 train-auc:1
[792] eval-auc:0.70134 train-auc:1
[793] eval-auc:0.701357 train-auc:1
[794] eval-auc:0.701357 train-auc:1
[795] eval-auc:0.701302 train-auc:1
[796] eval-auc:0.701137 train-auc:1
[797] eval-auc:0.700995 train-auc:1
[798] eval-auc:0.70091 train-auc:1
[799] eval-auc:0.70091 train-auc:1
[800] eval-auc:0.70091 train-auc:1
[801] eval-auc:0.700828 train-auc:1
[802] eval-auc:0.700788 train-auc:1
[803] eval-auc:0.700788 train-auc:1
[804] eval-auc:0.700788 train-auc:1
[805] eval-auc:0.700788 train-auc:1
[806] eval-auc:0.700774 train-auc:1
[807] eval-auc:0.700808 train-auc:1
[808] eval-auc:0.70065 train-auc:1
[809] eval-auc:0.70065 train-auc:1
[810] eval-auc:0.70065 train-auc:1
[811] eval-auc:0.700605 train-auc:1
[812] eval-auc:0.700552 train-auc:1
[813] eval-auc:0.700567 train-auc:1
[814] eval-auc:0.700575 train-auc:1
[815] eval-auc:0.700685 train-auc:1
[816] eval-auc:0.700685 train-auc:1
[817] eval-auc:0.700685 train-auc:1
[818] eval-auc:0.700685 train-auc:1
[819] eval-auc:0.700685 train-auc:1
[820] eval-auc:0.70077 train-auc:1
[821] eval-auc:0.700744 train-auc:1
[822] eval-auc:0.700774 train-auc:1
[823] eval-auc:0.700774 train-auc:1
[824] eval-auc:0.700782 train-auc:1
[825] eval-auc:0.700778 train-auc:1
[826] eval-auc:0.700701 train-auc:1
[827] eval-auc:0.700778 train-auc:1
[828] eval-auc:0.700778 train-auc:1
[829] eval-auc:0.700826 train-auc:1
[830] eval-auc:0.70087 train-auc:1
[831] eval-auc:0.70087 train-auc:1
[832] eval-auc:0.70087 train-auc:1
[833] eval-auc:0.700837 train-auc:1
[834] eval-auc:0.700936 train-auc:1
[835] eval-auc:0.70094 train-auc:1
[836] eval-auc:0.70094 train-auc:1
[837] eval-auc:0.70094 train-auc:1
[838] eval-auc:0.700982 train-auc:1
[839] eval-auc:0.701023 train-auc:1
Score 0.7010226705161471
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 1.0, 'eta': 0.025, 'eval_metric': 'auc', 'gamma': 0.9500000000000001, 'max_depth': 2, 'min_child_weight': 1.0, 'n_estimators': 205.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.669332 train-auc:0.690256
[1] eval-auc:0.669332 train-auc:0.690256
[2] eval-auc:0.669332 train-auc:0.690256
[3] eval-auc:0.669332 train-auc:0.690256
[4] eval-auc:0.669332 train-auc:0.690256
[5] eval-auc:0.669332 train-auc:0.690256
[6] eval-auc:0.699302 train-auc:0.713646
[7] eval-auc:0.699302 train-auc:0.713646
[8] eval-auc:0.696196 train-auc:0.712004
[9] eval-auc:0.696196 train-auc:0.712004
[10] eval-auc:0.696196 train-auc:0.712004
[11] eval-auc:0.696196 train-auc:0.712004
[12] eval-auc:0.697269 train-auc:0.7126
[13] eval-auc:0.697269 train-auc:0.7126
[14] eval-auc:0.697351 train-auc:0.712657
[15] eval-auc:0.697269 train-auc:0.7126
[16] eval-auc:0.698311 train-auc:0.713349
[17] eval-auc:0.698311 train-auc:0.713349
[18] eval-auc:0.700924 train-auc:0.716899
[19] eval-auc:0.700924 train-auc:0.716899
[20] eval-auc:0.700602 train-auc:0.718426
[21] eval-auc:0.700602 train-auc:0.718426
[22] eval-auc:0.700602 train-auc:0.71957
[23] eval-auc:0.699533 train-auc:0.719364
[24] eval-auc:0.699533 train-auc:0.719364
[25] eval-auc:0.699726 train-auc:0.719382
[26] eval-auc:0.699726 train-auc:0.719382
[27] eval-auc:0.699726 train-auc:0.719382
[28] eval-auc:0.699726 train-auc:0.719382
[29] eval-auc:0.700526 train-auc:0.719494
[30] eval-auc:0.700208 train-auc:0.719344
[31] eval-auc:0.700208 train-auc:0.719344
[32] eval-auc:0.700222 train-auc:0.71937
[33] eval-auc:0.699153 train-auc:0.719164
[34] eval-auc:0.698872 train-auc:0.718455
[35] eval-auc:0.699956 train-auc:0.71855
[36] eval-auc:0.699956 train-auc:0.71855
[37] eval-auc:0.700155 train-auc:0.718604
[38] eval-auc:0.697951 train-auc:0.716732
[39] eval-auc:0.697951 train-auc:0.716759
[40] eval-auc:0.699385 train-auc:0.718535
[41] eval-auc:0.699373 train-auc:0.719311
[42] eval-auc:0.699886 train-auc:0.720011
[43] eval-auc:0.699645 train-auc:0.720037
[44] eval-auc:0.699773 train-auc:0.720526
[45] eval-auc:0.70028 train-auc:0.720603
[46] eval-auc:0.704774 train-auc:0.723108
[47] eval-auc:0.701019 train-auc:0.721935
[48] eval-auc:0.701023 train-auc:0.722286
[49] eval-auc:0.700867 train-auc:0.72208
[50] eval-auc:0.70103 train-auc:0.722466
[51] eval-auc:0.701086 train-auc:0.722596
[52] eval-auc:0.701112 train-auc:0.722716
[53] eval-auc:0.701438 train-auc:0.723104
[54] eval-auc:0.70161 train-auc:0.723589
[55] eval-auc:0.701509 train-auc:0.723338
[56] eval-auc:0.701652 train-auc:0.723111
[57] eval-auc:0.701433 train-auc:0.72326
[58] eval-auc:0.7009 train-auc:0.723083
[59] eval-auc:0.700813 train-auc:0.723006
[60] eval-auc:0.701654 train-auc:0.722791
[61] eval-auc:0.701432 train-auc:0.722703
[62] eval-auc:0.700538 train-auc:0.721169
[63] eval-auc:0.700256 train-auc:0.721202
[64] eval-auc:0.701457 train-auc:0.722701
[65] eval-auc:0.701805 train-auc:0.723826
[66] eval-auc:0.702279 train-auc:0.723629
[67] eval-auc:0.701225 train-auc:0.721819
[68] eval-auc:0.701732 train-auc:0.722249
[69] eval-auc:0.701338 train-auc:0.723367
[70] eval-auc:0.701522 train-auc:0.722954
[71] eval-auc:0.702177 train-auc:0.722858
[72] eval-auc:0.705416 train-auc:0.725758
[73] eval-auc:0.701894 train-auc:0.723731
[74] eval-auc:0.699878 train-auc:0.721431
[75] eval-auc:0.700545 train-auc:0.722719
[76] eval-auc:0.703023 train-auc:0.723589
[77] eval-auc:0.699345 train-auc:0.721317
[78] eval-auc:0.699428 train-auc:0.721932
[79] eval-auc:0.700854 train-auc:0.7242
[80] eval-auc:0.699254 train-auc:0.722593
[81] eval-auc:0.700646 train-auc:0.724427
[82] eval-auc:0.699507 train-auc:0.72235
[83] eval-auc:0.698745 train-auc:0.721865
[84] eval-auc:0.700066 train-auc:0.723743
[85] eval-auc:0.702299 train-auc:0.724032
[86] eval-auc:0.700256 train-auc:0.724477
[87] eval-auc:0.699956 train-auc:0.723553
[88] eval-auc:0.69998 train-auc:0.723982
[89] eval-auc:0.701355 train-auc:0.724207
[90] eval-auc:0.700729 train-auc:0.725502
[91] eval-auc:0.701047 train-auc:0.725389
[92] eval-auc:0.700085 train-auc:0.725922
[93] eval-auc:0.70049 train-auc:0.725445
[94] eval-auc:0.700508 train-auc:0.725842
[95] eval-auc:0.700493 train-auc:0.726279
[96] eval-auc:0.700356 train-auc:0.726387
[97] eval-auc:0.699768 train-auc:0.725466
[98] eval-auc:0.7002 train-auc:0.726003
[99] eval-auc:0.700589 train-auc:0.726345
[100] eval-auc:0.700392 train-auc:0.726826
[101] eval-auc:0.700108 train-auc:0.727267
[102] eval-auc:0.70006 train-auc:0.727176
[103] eval-auc:0.699738 train-auc:0.72734
[104] eval-auc:0.70009 train-auc:0.727484
[105] eval-auc:0.700034 train-auc:0.727439
[106] eval-auc:0.699651 train-auc:0.72767
[107] eval-auc:0.699425 train-auc:0.727814
[108] eval-auc:0.699161 train-auc:0.727516
[109] eval-auc:0.699647 train-auc:0.727609
[110] eval-auc:0.699522 train-auc:0.727819
[111] eval-auc:0.699798 train-auc:0.728049
[112] eval-auc:0.70025 train-auc:0.728326
[113] eval-auc:0.700691 train-auc:0.728516
[114] eval-auc:0.700902 train-auc:0.728714
[115] eval-auc:0.70128 train-auc:0.728849
[116] eval-auc:0.701095 train-auc:0.728925
[117] eval-auc:0.700998 train-auc:0.728942
[118] eval-auc:0.701171 train-auc:0.729144
[119] eval-auc:0.701625 train-auc:0.728965
[120] eval-auc:0.701744 train-auc:0.728684
[121] eval-auc:0.700507 train-auc:0.728823
[122] eval-auc:0.701412 train-auc:0.728944
[123] eval-auc:0.701708 train-auc:0.729506
[124] eval-auc:0.700742 train-auc:0.729598
[125] eval-auc:0.701292 train-auc:0.729692
[126] eval-auc:0.702607 train-auc:0.729425
[127] eval-auc:0.701614 train-auc:0.72968
[128] eval-auc:0.70094 train-auc:0.729764
[129] eval-auc:0.702289 train-auc:0.730808
[130] eval-auc:0.702698 train-auc:0.730866
[131] eval-auc:0.702205 train-auc:0.730756
[132] eval-auc:0.702385 train-auc:0.731048
[133] eval-auc:0.703011 train-auc:0.731633
[134] eval-auc:0.703232 train-auc:0.731638
[135] eval-auc:0.703017 train-auc:0.731602
[136] eval-auc:0.703154 train-auc:0.731592
[137] eval-auc:0.702808 train-auc:0.731613
[138] eval-auc:0.703604 train-auc:0.732063
[139] eval-auc:0.703036 train-auc:0.731913
[140] eval-auc:0.702785 train-auc:0.731658
[141] eval-auc:0.702858 train-auc:0.731664
[142] eval-auc:0.703155 train-auc:0.73196
[143] eval-auc:0.703746 train-auc:0.732223
[144] eval-auc:0.703916 train-auc:0.732284
[145] eval-auc:0.704568 train-auc:0.732521
[146] eval-auc:0.704714 train-auc:0.73247
[147] eval-auc:0.704785 train-auc:0.732479
[148] eval-auc:0.704325 train-auc:0.732423
[149] eval-auc:0.704304 train-auc:0.732164
[150] eval-auc:0.704861 train-auc:0.732389
[151] eval-auc:0.705088 train-auc:0.732469
[152] eval-auc:0.705059 train-auc:0.732534
[153] eval-auc:0.705382 train-auc:0.732618
[154] eval-auc:0.705653 train-auc:0.73268
[155] eval-auc:0.706091 train-auc:0.732942
[156] eval-auc:0.705901 train-auc:0.733068
[157] eval-auc:0.706204 train-auc:0.733098
[158] eval-auc:0.705956 train-auc:0.733085
[159] eval-auc:0.705762 train-auc:0.732934
[160] eval-auc:0.705703 train-auc:0.733068
[161] eval-auc:0.705646 train-auc:0.733084
[162] eval-auc:0.706219 train-auc:0.733589
[163] eval-auc:0.706387 train-auc:0.733661
[164] eval-auc:0.706441 train-auc:0.733719
[165] eval-auc:0.706294 train-auc:0.73345
[166] eval-auc:0.706452 train-auc:0.73355
[167] eval-auc:0.706557 train-auc:0.733643
[168] eval-auc:0.706939 train-auc:0.734173
[169] eval-auc:0.706967 train-auc:0.734243
[170] eval-auc:0.707241 train-auc:0.734209
[171] eval-auc:0.707311 train-auc:0.734219
[172] eval-auc:0.706903 train-auc:0.734247
[173] eval-auc:0.706679 train-auc:0.734004
[174] eval-auc:0.707192 train-auc:0.734148
[175] eval-auc:0.707195 train-auc:0.734196
[176] eval-auc:0.707131 train-auc:0.734261
[177] eval-auc:0.707152 train-auc:0.734174
[178] eval-auc:0.707186 train-auc:0.734273
[179] eval-auc:0.707646 train-auc:0.73456
[180] eval-auc:0.707623 train-auc:0.734603
[181] eval-auc:0.707632 train-auc:0.734577
[182] eval-auc:0.707596 train-auc:0.734534
[183] eval-auc:0.707728 train-auc:0.734841
[184] eval-auc:0.707736 train-auc:0.734731
[185] eval-auc:0.707416 train-auc:0.734607
[186] eval-auc:0.70716 train-auc:0.73443
[187] eval-auc:0.70728 train-auc:0.734349
[188] eval-auc:0.707506 train-auc:0.734546
[189] eval-auc:0.707655 train-auc:0.734659
[190] eval-auc:0.707723 train-auc:0.734709
[191] eval-auc:0.707943 train-auc:0.735047
[192] eval-auc:0.708077 train-auc:0.735057
[193] eval-auc:0.708308 train-auc:0.735283
[194] eval-auc:0.708383 train-auc:0.735309
[195] eval-auc:0.708339 train-auc:0.73541
[196] eval-auc:0.708485 train-auc:0.735433
[197] eval-auc:0.708482 train-auc:0.735474
[198] eval-auc:0.708348 train-auc:0.735592
[199] eval-auc:0.708159 train-auc:0.735372
[200] eval-auc:0.708165 train-auc:0.735566
[201] eval-auc:0.708235 train-auc:0.735711
[202] eval-auc:0.708425 train-auc:0.735621
[203] eval-auc:0.708646 train-auc:0.735623
[204] eval-auc:0.708774 train-auc:0.735688
Score 0.7087741658443885
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9500000000000001, 'eta': 0.07500000000000001, 'eval_metric': 'auc', 'gamma': 1.0, 'max_depth': 7, 'min_child_weight': 2.0, 'n_estimators': 229.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.698086 train-auc:0.792183
[1] eval-auc:0.685366 train-auc:0.822141
[2] eval-auc:0.696968 train-auc:0.857739
[3] eval-auc:0.699617 train-auc:0.867623
[4] eval-auc:0.701165 train-auc:0.875333
[5] eval-auc:0.703166 train-auc:0.895029
[6] eval-auc:0.703967 train-auc:0.90138
[7] eval-auc:0.708467 train-auc:0.911227
[8] eval-auc:0.705132 train-auc:0.915963
[9] eval-auc:0.701428 train-auc:0.925845
[10] eval-auc:0.699265 train-auc:0.930966
[11] eval-auc:0.70474 train-auc:0.93865
[12] eval-auc:0.704115 train-auc:0.942834
[13] eval-auc:0.699347 train-auc:0.947194
[14] eval-auc:0.697215 train-auc:0.947031
[15] eval-auc:0.699709 train-auc:0.9512
[16] eval-auc:0.699951 train-auc:0.955051
[17] eval-auc:0.702138 train-auc:0.957422
[18] eval-auc:0.70177 train-auc:0.960644
[19] eval-auc:0.699618 train-auc:0.96236
[20] eval-auc:0.69933 train-auc:0.963739
[21] eval-auc:0.696864 train-auc:0.965428
[22] eval-auc:0.698093 train-auc:0.966698
[23] eval-auc:0.697916 train-auc:0.968549
[24] eval-auc:0.698822 train-auc:0.97094
[25] eval-auc:0.697938 train-auc:0.971896
[26] eval-auc:0.699323 train-auc:0.97465
[27] eval-auc:0.699667 train-auc:0.976186
[28] eval-auc:0.699535 train-auc:0.976752
[29] eval-auc:0.699398 train-auc:0.977555
[30] eval-auc:0.699635 train-auc:0.978463
[31] eval-auc:0.698953 train-auc:0.979516
[32] eval-auc:0.698268 train-auc:0.980376
[33] eval-auc:0.699095 train-auc:0.981415
[34] eval-auc:0.698295 train-auc:0.982307
[35] eval-auc:0.697939 train-auc:0.982437
[36] eval-auc:0.697563 train-auc:0.982523
[37] eval-auc:0.697511 train-auc:0.982559
[38] eval-auc:0.6983 train-auc:0.983151
[39] eval-auc:0.699471 train-auc:0.983794
[40] eval-auc:0.698594 train-auc:0.984317
[41] eval-auc:0.699258 train-auc:0.984975
[42] eval-auc:0.699573 train-auc:0.985126
[43] eval-auc:0.699744 train-auc:0.985354
[44] eval-auc:0.700631 train-auc:0.986197
[45] eval-auc:0.701537 train-auc:0.986623
[46] eval-auc:0.701079 train-auc:0.987074
[47] eval-auc:0.700916 train-auc:0.987406
[48] eval-auc:0.701167 train-auc:0.988399
[49] eval-auc:0.700753 train-auc:0.988735
[50] eval-auc:0.700394 train-auc:0.988923
[51] eval-auc:0.700726 train-auc:0.988951
[52] eval-auc:0.699861 train-auc:0.989908
[53] eval-auc:0.70001 train-auc:0.989913
[54] eval-auc:0.700213 train-auc:0.990283
[55] eval-auc:0.700191 train-auc:0.990267
[56] eval-auc:0.700086 train-auc:0.990496
[57] eval-auc:0.700802 train-auc:0.990642
[58] eval-auc:0.701336 train-auc:0.991068
[59] eval-auc:0.701093 train-auc:0.991893
[60] eval-auc:0.70121 train-auc:0.991988
[61] eval-auc:0.701715 train-auc:0.992707
[62] eval-auc:0.701528 train-auc:0.992945
[63] eval-auc:0.701649 train-auc:0.993465
[64] eval-auc:0.702044 train-auc:0.993544
[65] eval-auc:0.70165 train-auc:0.993563
[66] eval-auc:0.701463 train-auc:0.99378
[67] eval-auc:0.700889 train-auc:0.99383
[68] eval-auc:0.701288 train-auc:0.994039
[69] eval-auc:0.701801 train-auc:0.994266
[70] eval-auc:0.701935 train-auc:0.994651
[71] eval-auc:0.701274 train-auc:0.995016
[72] eval-auc:0.701059 train-auc:0.995247
[73] eval-auc:0.700939 train-auc:0.995314
[74] eval-auc:0.70184 train-auc:0.995409
[75] eval-auc:0.701735 train-auc:0.995457
[76] eval-auc:0.7026 train-auc:0.995774
[77] eval-auc:0.702273 train-auc:0.995956
[78] eval-auc:0.702446 train-auc:0.996273
[79] eval-auc:0.70235 train-auc:0.996579
[80] eval-auc:0.701877 train-auc:0.996589
[81] eval-auc:0.701167 train-auc:0.996648
[82] eval-auc:0.701172 train-auc:0.996737
[83] eval-auc:0.701457 train-auc:0.996864
[84] eval-auc:0.701181 train-auc:0.996934
[85] eval-auc:0.701673 train-auc:0.997182
[86] eval-auc:0.701789 train-auc:0.99723
[87] eval-auc:0.702338 train-auc:0.997466
[88] eval-auc:0.702926 train-auc:0.997519
[89] eval-auc:0.702985 train-auc:0.997658
[90] eval-auc:0.703141 train-auc:0.997665
[91] eval-auc:0.702978 train-auc:0.997676
[92] eval-auc:0.702026 train-auc:0.997647
[93] eval-auc:0.701528 train-auc:0.99768
[94] eval-auc:0.702261 train-auc:0.997735
[95] eval-auc:0.70197 train-auc:0.997744
[96] eval-auc:0.701521 train-auc:0.997782
[97] eval-auc:0.702657 train-auc:0.997864
[98] eval-auc:0.702251 train-auc:0.997911
[99] eval-auc:0.702312 train-auc:0.997948
[100] eval-auc:0.702526 train-auc:0.997998
[101] eval-auc:0.702369 train-auc:0.998011
[102] eval-auc:0.703138 train-auc:0.99809
[103] eval-auc:0.703642 train-auc:0.99817
[104] eval-auc:0.703424 train-auc:0.998303
[105] eval-auc:0.704149 train-auc:0.998383
[106] eval-auc:0.704415 train-auc:0.998572
[107] eval-auc:0.704742 train-auc:0.998577
[108] eval-auc:0.703558 train-auc:0.998649
[109] eval-auc:0.703694 train-auc:0.998659
[110] eval-auc:0.7041 train-auc:0.998788
[111] eval-auc:0.702565 train-auc:0.998856
[112] eval-auc:0.702411 train-auc:0.998867
[113] eval-auc:0.70222 train-auc:0.998902
[114] eval-auc:0.701819 train-auc:0.998932
[115] eval-auc:0.701962 train-auc:0.998974
[116] eval-auc:0.701644 train-auc:0.999057
[117] eval-auc:0.702355 train-auc:0.999104
[118] eval-auc:0.702188 train-auc:0.999131
[119] eval-auc:0.701979 train-auc:0.999168
[120] eval-auc:0.702431 train-auc:0.99921
[121] eval-auc:0.702628 train-auc:0.999252
[122] eval-auc:0.702754 train-auc:0.999286
[123] eval-auc:0.702742 train-auc:0.999327
[124] eval-auc:0.702982 train-auc:0.999354
[125] eval-auc:0.703098 train-auc:0.999359
[126] eval-auc:0.703167 train-auc:0.999341
[127] eval-auc:0.703581 train-auc:0.999348
[128] eval-auc:0.70392 train-auc:0.999357
[129] eval-auc:0.702934 train-auc:0.999444
[130] eval-auc:0.702769 train-auc:0.999446
[131] eval-auc:0.702618 train-auc:0.99945
[132] eval-auc:0.702654 train-auc:0.999494
[133] eval-auc:0.703454 train-auc:0.999517
[134] eval-auc:0.703989 train-auc:0.999532
[135] eval-auc:0.70426 train-auc:0.999615
[136] eval-auc:0.70398 train-auc:0.999625
[137] eval-auc:0.704712 train-auc:0.999633
[138] eval-auc:0.70449 train-auc:0.999651
[139] eval-auc:0.70466 train-auc:0.999676
[140] eval-auc:0.704624 train-auc:0.999682
[141] eval-auc:0.704571 train-auc:0.999687
[142] eval-auc:0.704834 train-auc:0.999696
[143] eval-auc:0.705149 train-auc:0.999705
[144] eval-auc:0.705894 train-auc:0.999706
[145] eval-auc:0.705839 train-auc:0.999705
[146] eval-auc:0.70544 train-auc:0.999724
[147] eval-auc:0.705218 train-auc:0.99974
[148] eval-auc:0.704778 train-auc:0.999743
[149] eval-auc:0.704787 train-auc:0.999749
[150] eval-auc:0.704992 train-auc:0.999754
[151] eval-auc:0.705281 train-auc:0.99976
[152] eval-auc:0.70483 train-auc:0.999777
[153] eval-auc:0.704915 train-auc:0.999777
[154] eval-auc:0.704811 train-auc:0.999779
[155] eval-auc:0.704461 train-auc:0.999793
[156] eval-auc:0.703983 train-auc:0.99981
[157] eval-auc:0.704315 train-auc:0.999812
[158] eval-auc:0.70442 train-auc:0.999811
[159] eval-auc:0.704163 train-auc:0.999812
[160] eval-auc:0.704026 train-auc:0.999813
[161] eval-auc:0.704045 train-auc:0.999814
[162] eval-auc:0.703678 train-auc:0.999815
[163] eval-auc:0.703203 train-auc:0.999814
[164] eval-auc:0.703479 train-auc:0.999819
[165] eval-auc:0.703578 train-auc:0.999821
[166] eval-auc:0.70313 train-auc:0.999827
[167] eval-auc:0.70338 train-auc:0.999836
[168] eval-auc:0.703287 train-auc:0.999833
[169] eval-auc:0.703159 train-auc:0.999835
[170] eval-auc:0.703499 train-auc:0.999837
[171] eval-auc:0.703817 train-auc:0.999828
[172] eval-auc:0.70384 train-auc:0.999829
[173] eval-auc:0.704099 train-auc:0.999833
[174] eval-auc:0.704088 train-auc:0.999834
[175] eval-auc:0.704516 train-auc:0.999841
[176] eval-auc:0.704522 train-auc:0.999853
[177] eval-auc:0.704793 train-auc:0.999856
[178] eval-auc:0.704741 train-auc:0.999871
[179] eval-auc:0.704743 train-auc:0.999874
[180] eval-auc:0.705005 train-auc:0.999874
[181] eval-auc:0.705696 train-auc:0.999875
[182] eval-auc:0.705975 train-auc:0.999878
[183] eval-auc:0.706416 train-auc:0.999881
[184] eval-auc:0.706479 train-auc:0.999881
[185] eval-auc:0.706291 train-auc:0.99988
[186] eval-auc:0.705912 train-auc:0.99988
[187] eval-auc:0.704682 train-auc:0.999888
[188] eval-auc:0.704802 train-auc:0.999887
[189] eval-auc:0.704327 train-auc:0.99989
[190] eval-auc:0.704629 train-auc:0.999899
[191] eval-auc:0.704477 train-auc:0.999906
[192] eval-auc:0.704551 train-auc:0.99991
[193] eval-auc:0.704064 train-auc:0.999912
[194] eval-auc:0.703917 train-auc:0.999913
[195] eval-auc:0.703674 train-auc:0.999923
[196] eval-auc:0.703581 train-auc:0.999929
[197] eval-auc:0.703584 train-auc:0.999929
[198] eval-auc:0.704052 train-auc:0.999929
[199] eval-auc:0.704199 train-auc:0.999938
[200] eval-auc:0.703954 train-auc:0.999939
[201] eval-auc:0.70394 train-auc:0.999939
[202] eval-auc:0.703858 train-auc:0.999939
[203] eval-auc:0.703937 train-auc:0.999939
[204] eval-auc:0.704053 train-auc:0.999941
[205] eval-auc:0.704653 train-auc:0.999941
[206] eval-auc:0.705008 train-auc:0.999941
[207] eval-auc:0.70537 train-auc:0.999942
[208] eval-auc:0.705407 train-auc:0.999942
[209] eval-auc:0.705294 train-auc:0.999947
[210] eval-auc:0.705559 train-auc:0.999948
[211] eval-auc:0.70585 train-auc:0.999954
[212] eval-auc:0.706064 train-auc:0.999954
[213] eval-auc:0.705932 train-auc:0.999958
[214] eval-auc:0.70564 train-auc:0.999964
[215] eval-auc:0.70578 train-auc:0.99997
[216] eval-auc:0.705574 train-auc:0.99997
[217] eval-auc:0.706026 train-auc:0.999972
[218] eval-auc:0.705841 train-auc:0.999972
[219] eval-auc:0.705452 train-auc:0.999973
[220] eval-auc:0.705402 train-auc:0.999973
[221] eval-auc:0.705525 train-auc:0.999974
[222] eval-auc:0.705649 train-auc:0.999979
[223] eval-auc:0.706224 train-auc:0.999981
[224] eval-auc:0.706463 train-auc:0.999978
[225] eval-auc:0.706573 train-auc:0.999979
[226] eval-auc:0.706491 train-auc:0.999981
[227] eval-auc:0.706632 train-auc:0.999981
[228] eval-auc:0.70703 train-auc:0.999981
Score 0.7070298700191255
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 1.0, 'eta': 0.15000000000000002, 'eval_metric': 'auc', 'gamma': 0.9, 'max_depth': 9, 'min_child_weight': 1.0, 'n_estimators': 101.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.687949 train-auc:0.837404
[1] eval-auc:0.709949 train-auc:0.896205
[2] eval-auc:0.703959 train-auc:0.927056
[3] eval-auc:0.701292 train-auc:0.944247
[4] eval-auc:0.703263 train-auc:0.9531
[5] eval-auc:0.701792 train-auc:0.959585
[6] eval-auc:0.703219 train-auc:0.965467
[7] eval-auc:0.702251 train-auc:0.971497
[8] eval-auc:0.706457 train-auc:0.978278
[9] eval-auc:0.706511 train-auc:0.981844
[10] eval-auc:0.706434 train-auc:0.984145
[11] eval-auc:0.706796 train-auc:0.985889
[12] eval-auc:0.704894 train-auc:0.987846
[13] eval-auc:0.704383 train-auc:0.988769
[14] eval-auc:0.702733 train-auc:0.990974
[15] eval-auc:0.70363 train-auc:0.991858
[16] eval-auc:0.707257 train-auc:0.993884
[17] eval-auc:0.705295 train-auc:0.995096
[18] eval-auc:0.70486 train-auc:0.995867
[19] eval-auc:0.704566 train-auc:0.99614
[20] eval-auc:0.702911 train-auc:0.996532
[21] eval-auc:0.701333 train-auc:0.996789
[22] eval-auc:0.702101 train-auc:0.997009
[23] eval-auc:0.702774 train-auc:0.997134
[24] eval-auc:0.700753 train-auc:0.99751
[25] eval-auc:0.702003 train-auc:0.998035
[26] eval-auc:0.702568 train-auc:0.998127
[27] eval-auc:0.702816 train-auc:0.998278
[28] eval-auc:0.702935 train-auc:0.998663
[29] eval-auc:0.70188 train-auc:0.998867
[30] eval-auc:0.701215 train-auc:0.998981
[31] eval-auc:0.701341 train-auc:0.999097
[32] eval-auc:0.700971 train-auc:0.999094
[33] eval-auc:0.700889 train-auc:0.999297
[34] eval-auc:0.701493 train-auc:0.999438
[35] eval-auc:0.700817 train-auc:0.999467
[36] eval-auc:0.700094 train-auc:0.999576
[37] eval-auc:0.699437 train-auc:0.999608
[38] eval-auc:0.699649 train-auc:0.999652
[39] eval-auc:0.698224 train-auc:0.999773
[40] eval-auc:0.697663 train-auc:0.999837
[41] eval-auc:0.697779 train-auc:0.999889
[42] eval-auc:0.697965 train-auc:0.999893
[43] eval-auc:0.697603 train-auc:0.999919
[44] eval-auc:0.697878 train-auc:0.999922
[45] eval-auc:0.69737 train-auc:0.999942
[46] eval-auc:0.697997 train-auc:0.999945
[47] eval-auc:0.698595 train-auc:0.999944
[48] eval-auc:0.70066 train-auc:0.999962
[49] eval-auc:0.70128 train-auc:0.999964
[50] eval-auc:0.701027 train-auc:0.999965
[51] eval-auc:0.700194 train-auc:0.999965
[52] eval-auc:0.699865 train-auc:0.999971
[53] eval-auc:0.700111 train-auc:0.999971
[54] eval-auc:0.699935 train-auc:0.999983
[55] eval-auc:0.700604 train-auc:0.999983
[56] eval-auc:0.70031 train-auc:0.999985
[57] eval-auc:0.699465 train-auc:0.999988
[58] eval-auc:0.69917 train-auc:0.999995
[59] eval-auc:0.69978 train-auc:0.999995
[60] eval-auc:0.698737 train-auc:0.999995
[61] eval-auc:0.698588 train-auc:0.999999
[62] eval-auc:0.69894 train-auc:0.999999
[63] eval-auc:0.69832 train-auc:0.999999
[64] eval-auc:0.698614 train-auc:0.999999
[65] eval-auc:0.698932 train-auc:0.999999
[66] eval-auc:0.69969 train-auc:1
[67] eval-auc:0.699265 train-auc:1
[68] eval-auc:0.699422 train-auc:1
[69] eval-auc:0.699171 train-auc:1
[70] eval-auc:0.698806 train-auc:1
[71] eval-auc:0.699546 train-auc:1
[72] eval-auc:0.699804 train-auc:1
[73] eval-auc:0.700206 train-auc:1
[74] eval-auc:0.700394 train-auc:1
[75] eval-auc:0.701539 train-auc:1
[76] eval-auc:0.70116 train-auc:1
[77] eval-auc:0.701757 train-auc:1
[78] eval-auc:0.701073 train-auc:1
[79] eval-auc:0.701408 train-auc:1
[80] eval-auc:0.701585 train-auc:1
[81] eval-auc:0.700549 train-auc:1
[82] eval-auc:0.700528 train-auc:1
[83] eval-auc:0.700473 train-auc:1
[84] eval-auc:0.700724 train-auc:1
[85] eval-auc:0.70056 train-auc:1
[86] eval-auc:0.699538 train-auc:1
[87] eval-auc:0.69984 train-auc:1
[88] eval-auc:0.700173 train-auc:1
[89] eval-auc:0.699632 train-auc:1
[90] eval-auc:0.699214 train-auc:1
[91] eval-auc:0.699769 train-auc:1
[92] eval-auc:0.698943 train-auc:1
[93] eval-auc:0.698685 train-auc:1
[94] eval-auc:0.698344 train-auc:1
[95] eval-auc:0.698745 train-auc:1
[96] eval-auc:0.698413 train-auc:1
[97] eval-auc:0.699772 train-auc:1
[98] eval-auc:0.69946 train-auc:1
[99] eval-auc:0.699282 train-auc:1
[100] eval-auc:0.698292 train-auc:1
Score 0.6982924021488871
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9, 'eta': 0.1, 'eval_metric': 'auc', 'gamma': 0.9500000000000001, 'max_depth': 2, 'min_child_weight': 1.0, 'n_estimators': 327.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.669332 train-auc:0.690256
[1] eval-auc:0.680065 train-auc:0.693039
[2] eval-auc:0.682304 train-auc:0.695945
[3] eval-auc:0.683753 train-auc:0.69729
[4] eval-auc:0.698305 train-auc:0.709202
[5] eval-auc:0.697832 train-auc:0.708436
[6] eval-auc:0.696895 train-auc:0.707472
[7] eval-auc:0.696417 train-auc:0.708671
[8] eval-auc:0.697456 train-auc:0.710894
[9] eval-auc:0.698611 train-auc:0.711563
[10] eval-auc:0.698002 train-auc:0.71215
[11] eval-auc:0.698828 train-auc:0.712463
[12] eval-auc:0.698176 train-auc:0.71389
[13] eval-auc:0.697197 train-auc:0.714357
[14] eval-auc:0.698036 train-auc:0.714248
[15] eval-auc:0.696838 train-auc:0.71409
[16] eval-auc:0.697446 train-auc:0.714166
[17] eval-auc:0.697536 train-auc:0.716248
[18] eval-auc:0.697475 train-auc:0.718033
[19] eval-auc:0.69712 train-auc:0.718601
[20] eval-auc:0.697715 train-auc:0.719586
[21] eval-auc:0.700768 train-auc:0.722093
[22] eval-auc:0.699497 train-auc:0.721594
[23] eval-auc:0.698889 train-auc:0.719961
[24] eval-auc:0.700861 train-auc:0.721819
[25] eval-auc:0.700482 train-auc:0.724065
[26] eval-auc:0.700343 train-auc:0.725148
[27] eval-auc:0.700905 train-auc:0.724676
[28] eval-auc:0.700985 train-auc:0.725912
[29] eval-auc:0.701102 train-auc:0.727062
[30] eval-auc:0.701207 train-auc:0.727187
[31] eval-auc:0.702204 train-auc:0.728247
[32] eval-auc:0.702356 train-auc:0.729365
[33] eval-auc:0.70266 train-auc:0.730355
[34] eval-auc:0.701383 train-auc:0.731151
[35] eval-auc:0.702919 train-auc:0.731918
[36] eval-auc:0.703291 train-auc:0.73215
[37] eval-auc:0.703704 train-auc:0.731978
[38] eval-auc:0.705699 train-auc:0.732745
[39] eval-auc:0.706179 train-auc:0.733229
[40] eval-auc:0.706643 train-auc:0.733664
[41] eval-auc:0.706329 train-auc:0.733466
[42] eval-auc:0.706348 train-auc:0.73344
[43] eval-auc:0.707032 train-auc:0.73423
[44] eval-auc:0.707146 train-auc:0.734532
[45] eval-auc:0.707299 train-auc:0.734697
[46] eval-auc:0.706579 train-auc:0.734406
[47] eval-auc:0.706588 train-auc:0.734467
[48] eval-auc:0.707206 train-auc:0.735339
[49] eval-auc:0.706365 train-auc:0.735102
[50] eval-auc:0.706463 train-auc:0.735728
[51] eval-auc:0.707392 train-auc:0.736708
[52] eval-auc:0.707495 train-auc:0.737197
[53] eval-auc:0.706677 train-auc:0.736567
[54] eval-auc:0.706654 train-auc:0.736519
[55] eval-auc:0.706197 train-auc:0.736992
[56] eval-auc:0.706771 train-auc:0.73735
[57] eval-auc:0.706833 train-auc:0.737674
[58] eval-auc:0.705649 train-auc:0.739194
[59] eval-auc:0.70675 train-auc:0.740773
[60] eval-auc:0.706384 train-auc:0.741352
[61] eval-auc:0.707076 train-auc:0.741756
[62] eval-auc:0.707672 train-auc:0.742651
[63] eval-auc:0.707999 train-auc:0.743063
[64] eval-auc:0.709267 train-auc:0.743914
[65] eval-auc:0.709352 train-auc:0.744308
[66] eval-auc:0.70934 train-auc:0.74461
[67] eval-auc:0.709491 train-auc:0.744705
[68] eval-auc:0.708999 train-auc:0.743915
[69] eval-auc:0.709277 train-auc:0.74432
[70] eval-auc:0.709258 train-auc:0.744642
[71] eval-auc:0.708904 train-auc:0.743931
[72] eval-auc:0.708956 train-auc:0.744317
[73] eval-auc:0.708349 train-auc:0.744413
[74] eval-auc:0.708729 train-auc:0.744635
[75] eval-auc:0.708865 train-auc:0.745165
[76] eval-auc:0.709165 train-auc:0.746157
[77] eval-auc:0.709329 train-auc:0.746632
[78] eval-auc:0.708924 train-auc:0.746115
[79] eval-auc:0.708997 train-auc:0.746276
[80] eval-auc:0.708923 train-auc:0.746778
[81] eval-auc:0.708957 train-auc:0.747026
[82] eval-auc:0.709512 train-auc:0.747411
[83] eval-auc:0.7098 train-auc:0.74784
[84] eval-auc:0.710497 train-auc:0.749053
[85] eval-auc:0.709989 train-auc:0.750145
[86] eval-auc:0.710142 train-auc:0.750532
[87] eval-auc:0.710086 train-auc:0.750659
[88] eval-auc:0.710175 train-auc:0.750924
[89] eval-auc:0.71028 train-auc:0.751068
[90] eval-auc:0.710225 train-auc:0.751234
[91] eval-auc:0.709732 train-auc:0.75227
[92] eval-auc:0.709959 train-auc:0.752748
[93] eval-auc:0.710326 train-auc:0.753218
[94] eval-auc:0.709025 train-auc:0.754079
[95] eval-auc:0.709454 train-auc:0.754832
[96] eval-auc:0.709842 train-auc:0.755461
[97] eval-auc:0.710515 train-auc:0.755947
[98] eval-auc:0.710643 train-auc:0.75618
[99] eval-auc:0.710652 train-auc:0.756322
[100] eval-auc:0.710777 train-auc:0.756795
[101] eval-auc:0.710672 train-auc:0.757154
[102] eval-auc:0.710643 train-auc:0.757477
[103] eval-auc:0.710153 train-auc:0.757469
[104] eval-auc:0.710024 train-auc:0.757769
[105] eval-auc:0.710613 train-auc:0.758399
[106] eval-auc:0.710771 train-auc:0.758589
[107] eval-auc:0.710721 train-auc:0.758693
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[241] eval-auc:0.708321 train-auc:0.806397
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[243] eval-auc:0.708807 train-auc:0.807309
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[246] eval-auc:0.708346 train-auc:0.80793
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[248] eval-auc:0.708155 train-auc:0.808789
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[265] eval-auc:0.707584 train-auc:0.812127
[266] eval-auc:0.707652 train-auc:0.8125
[267] eval-auc:0.707776 train-auc:0.812692
[268] eval-auc:0.707499 train-auc:0.813158
[269] eval-auc:0.70676 train-auc:0.813694
[270] eval-auc:0.70652 train-auc:0.813913
[271] eval-auc:0.70682 train-auc:0.814464
[272] eval-auc:0.70749 train-auc:0.81496
[273] eval-auc:0.707583 train-auc:0.815426
[274] eval-auc:0.707406 train-auc:0.815716
[275] eval-auc:0.707286 train-auc:0.816345
[276] eval-auc:0.707426 train-auc:0.816394
[277] eval-auc:0.707531 train-auc:0.816564
[278] eval-auc:0.70735 train-auc:0.816727
[279] eval-auc:0.70708 train-auc:0.816977
[280] eval-auc:0.707065 train-auc:0.817311
[281] eval-auc:0.706766 train-auc:0.81755
[282] eval-auc:0.706763 train-auc:0.818374
[283] eval-auc:0.706773 train-auc:0.818722
[284] eval-auc:0.706775 train-auc:0.818965
[285] eval-auc:0.706803 train-auc:0.81916
[286] eval-auc:0.706811 train-auc:0.819199
[287] eval-auc:0.706812 train-auc:0.819209
[288] eval-auc:0.706427 train-auc:0.81932
[289] eval-auc:0.706262 train-auc:0.819837
[290] eval-auc:0.70616 train-auc:0.820073
[291] eval-auc:0.706167 train-auc:0.820099
[292] eval-auc:0.705769 train-auc:0.820362
[293] eval-auc:0.705757 train-auc:0.820554
[294] eval-auc:0.705725 train-auc:0.820585
[295] eval-auc:0.705464 train-auc:0.820758
[296] eval-auc:0.705373 train-auc:0.82099
[297] eval-auc:0.705291 train-auc:0.820708
[298] eval-auc:0.705198 train-auc:0.820828
[299] eval-auc:0.705126 train-auc:0.821057
[300] eval-auc:0.705288 train-auc:0.821072
[301] eval-auc:0.705187 train-auc:0.821234
[302] eval-auc:0.705145 train-auc:0.821425
[303] eval-auc:0.705413 train-auc:0.821855
[304] eval-auc:0.705154 train-auc:0.822094
[305] eval-auc:0.705352 train-auc:0.822168
[306] eval-auc:0.7055 train-auc:0.823031
[307] eval-auc:0.705516 train-auc:0.823251
[308] eval-auc:0.705752 train-auc:0.823676
[309] eval-auc:0.705801 train-auc:0.824294
[310] eval-auc:0.705681 train-auc:0.824519
[311] eval-auc:0.705419 train-auc:0.82451
[312] eval-auc:0.705317 train-auc:0.824796
[313] eval-auc:0.704906 train-auc:0.825158
[314] eval-auc:0.704694 train-auc:0.825837
[315] eval-auc:0.704801 train-auc:0.826189
[316] eval-auc:0.705049 train-auc:0.826424
[317] eval-auc:0.705002 train-auc:0.826616
[318] eval-auc:0.704991 train-auc:0.826609
[319] eval-auc:0.704697 train-auc:0.82691
[320] eval-auc:0.705018 train-auc:0.827513
[321] eval-auc:0.705105 train-auc:0.828017
[322] eval-auc:0.704705 train-auc:0.828079
[323] eval-auc:0.704948 train-auc:0.828399
[324] eval-auc:0.705448 train-auc:0.829008
[325] eval-auc:0.705133 train-auc:0.829131
[326] eval-auc:0.705557 train-auc:0.829475
Score 0.7055573828405755
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9500000000000001, 'eta': 0.2, 'eval_metric': 'auc', 'gamma': 1.0, 'max_depth': 12, 'min_child_weight': 2.0, 'n_estimators': 185.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.692112 train-auc:0.934021
[1] eval-auc:0.62327 train-auc:0.979276
[2] eval-auc:0.646642 train-auc:0.990159
[3] eval-auc:0.625771 train-auc:0.994475
[4] eval-auc:0.649323 train-auc:0.996453
[5] eval-auc:0.670172 train-auc:0.99782
[6] eval-auc:0.67346 train-auc:0.998484
[7] eval-auc:0.677691 train-auc:0.998969
[8] eval-auc:0.682473 train-auc:0.999356
[9] eval-auc:0.690431 train-auc:0.999564
[10] eval-auc:0.696005 train-auc:0.999801
[11] eval-auc:0.699433 train-auc:0.999809
[12] eval-auc:0.702434 train-auc:0.999908
[13] eval-auc:0.699879 train-auc:0.999948
[14] eval-auc:0.700627 train-auc:0.999951
[15] eval-auc:0.702061 train-auc:0.999967
[16] eval-auc:0.702369 train-auc:0.999984
[17] eval-auc:0.702433 train-auc:0.999991
[18] eval-auc:0.703272 train-auc:0.999995
[19] eval-auc:0.70341 train-auc:0.999995
[20] eval-auc:0.703404 train-auc:0.999996
[21] eval-auc:0.703911 train-auc:0.999996
[22] eval-auc:0.703355 train-auc:0.999996
[23] eval-auc:0.702699 train-auc:0.999994
[24] eval-auc:0.703556 train-auc:0.999994
[25] eval-auc:0.703418 train-auc:0.999999
[26] eval-auc:0.702107 train-auc:1
[27] eval-auc:0.702066 train-auc:1
[28] eval-auc:0.702241 train-auc:1
[29] eval-auc:0.702561 train-auc:1
[30] eval-auc:0.702172 train-auc:1
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[34] eval-auc:0.702379 train-auc:1
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[39] eval-auc:0.702175 train-auc:1
[40] eval-auc:0.701184 train-auc:1
[41] eval-auc:0.700956 train-auc:1
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[44] eval-auc:0.69959 train-auc:1
[45] eval-auc:0.699838 train-auc:1
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[50] eval-auc:0.698821 train-auc:1
[51] eval-auc:0.69932 train-auc:1
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[53] eval-auc:0.699433 train-auc:1
[54] eval-auc:0.699476 train-auc:1
[55] eval-auc:0.700005 train-auc:1
[56] eval-auc:0.700053 train-auc:1
[57] eval-auc:0.698635 train-auc:1
[58] eval-auc:0.699074 train-auc:1
[59] eval-auc:0.698172 train-auc:1
[60] eval-auc:0.697974 train-auc:1
[61] eval-auc:0.697747 train-auc:1
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[75] eval-auc:0.696432 train-auc:1
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[80] eval-auc:0.698774 train-auc:1
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[88] eval-auc:0.698888 train-auc:1
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[100] eval-auc:0.698888 train-auc:1
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[123] eval-auc:0.698961 train-auc:1
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[140] eval-auc:0.698961 train-auc:1
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[145] eval-auc:0.698961 train-auc:1
[146] eval-auc:0.698961 train-auc:1
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[150] eval-auc:0.698961 train-auc:1
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[155] eval-auc:0.698961 train-auc:1
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[160] eval-auc:0.698961 train-auc:1
[161] eval-auc:0.698961 train-auc:1
[162] eval-auc:0.698961 train-auc:1
[163] eval-auc:0.698961 train-auc:1
[164] eval-auc:0.698961 train-auc:1
[165] eval-auc:0.698961 train-auc:1
[166] eval-auc:0.698961 train-auc:1
[167] eval-auc:0.698961 train-auc:1
[168] eval-auc:0.698961 train-auc:1
[169] eval-auc:0.698961 train-auc:1
[170] eval-auc:0.698961 train-auc:1
[171] eval-auc:0.698961 train-auc:1
[172] eval-auc:0.698961 train-auc:1
[173] eval-auc:0.698961 train-auc:1
[174] eval-auc:0.698961 train-auc:1
[175] eval-auc:0.698961 train-auc:1
[176] eval-auc:0.698961 train-auc:1
[177] eval-auc:0.698961 train-auc:1
[178] eval-auc:0.698961 train-auc:1
[179] eval-auc:0.698961 train-auc:1
[180] eval-auc:0.698961 train-auc:1
[181] eval-auc:0.698961 train-auc:1
[182] eval-auc:0.698961 train-auc:1
[183] eval-auc:0.698961 train-auc:1
[184] eval-auc:0.698961 train-auc:1
Score 0.6989608839186736
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9, 'eta': 0.07500000000000001, 'eval_metric': 'auc', 'gamma': 1.0, 'max_depth': 2, 'min_child_weight': 2.0, 'n_estimators': 276.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.673761 train-auc:0.684105
[1] eval-auc:0.668297 train-auc:0.692726
[2] eval-auc:0.668484 train-auc:0.695882
[3] eval-auc:0.697638 train-auc:0.718013
[4] eval-auc:0.698225 train-auc:0.718319
[5] eval-auc:0.695588 train-auc:0.712463
[6] eval-auc:0.697284 train-auc:0.714999
[7] eval-auc:0.69505 train-auc:0.714372
[8] eval-auc:0.694878 train-auc:0.71393
[9] eval-auc:0.695288 train-auc:0.713509
[10] eval-auc:0.696916 train-auc:0.714663
[11] eval-auc:0.69767 train-auc:0.713847
[12] eval-auc:0.69804 train-auc:0.713983
[13] eval-auc:0.697871 train-auc:0.715474
[14] eval-auc:0.696911 train-auc:0.715598
[15] eval-auc:0.698866 train-auc:0.713736
[16] eval-auc:0.700052 train-auc:0.710255
[17] eval-auc:0.698901 train-auc:0.711031
[18] eval-auc:0.698376 train-auc:0.709994
[19] eval-auc:0.698136 train-auc:0.710007
[20] eval-auc:0.698419 train-auc:0.71043
[21] eval-auc:0.698305 train-auc:0.711361
[22] eval-auc:0.698428 train-auc:0.711643
[23] eval-auc:0.698809 train-auc:0.713043
[24] eval-auc:0.698918 train-auc:0.713741
[25] eval-auc:0.69854 train-auc:0.713947
[26] eval-auc:0.698823 train-auc:0.715732
[27] eval-auc:0.698707 train-auc:0.714924
[28] eval-auc:0.698898 train-auc:0.715398
[29] eval-auc:0.698796 train-auc:0.716919
[30] eval-auc:0.699508 train-auc:0.718227
[31] eval-auc:0.699492 train-auc:0.719912
[32] eval-auc:0.700146 train-auc:0.721026
[33] eval-auc:0.701135 train-auc:0.721507
[34] eval-auc:0.699838 train-auc:0.722052
[35] eval-auc:0.699311 train-auc:0.722079
[36] eval-auc:0.69973 train-auc:0.7236
[37] eval-auc:0.699603 train-auc:0.722891
[38] eval-auc:0.700487 train-auc:0.724039
[39] eval-auc:0.700408 train-auc:0.724608
[40] eval-auc:0.700038 train-auc:0.726042
[41] eval-auc:0.701084 train-auc:0.72679
[42] eval-auc:0.701193 train-auc:0.727593
[43] eval-auc:0.702226 train-auc:0.728838
[44] eval-auc:0.701507 train-auc:0.72757
[45] eval-auc:0.702411 train-auc:0.728192
[46] eval-auc:0.702731 train-auc:0.728434
[47] eval-auc:0.702617 train-auc:0.729402
[48] eval-auc:0.703543 train-auc:0.730015
[49] eval-auc:0.703477 train-auc:0.729973
[50] eval-auc:0.704114 train-auc:0.730376
[51] eval-auc:0.703768 train-auc:0.729267
[52] eval-auc:0.70406 train-auc:0.729955
[53] eval-auc:0.704629 train-auc:0.730154
[54] eval-auc:0.704657 train-auc:0.730311
[55] eval-auc:0.704835 train-auc:0.730513
[56] eval-auc:0.704957 train-auc:0.730608
[57] eval-auc:0.704757 train-auc:0.730668
[58] eval-auc:0.704547 train-auc:0.73081
[59] eval-auc:0.704559 train-auc:0.730929
[60] eval-auc:0.704471 train-auc:0.731512
[61] eval-auc:0.705161 train-auc:0.731966
[62] eval-auc:0.705283 train-auc:0.731953
[63] eval-auc:0.706025 train-auc:0.732602
[64] eval-auc:0.706234 train-auc:0.733107
[65] eval-auc:0.706468 train-auc:0.733927
[66] eval-auc:0.707009 train-auc:0.735068
[67] eval-auc:0.706785 train-auc:0.735321
[68] eval-auc:0.707008 train-auc:0.735532
[69] eval-auc:0.706466 train-auc:0.736536
[70] eval-auc:0.706375 train-auc:0.736341
[71] eval-auc:0.706827 train-auc:0.736553
[72] eval-auc:0.706119 train-auc:0.736634
[73] eval-auc:0.706157 train-auc:0.736832
[74] eval-auc:0.705988 train-auc:0.737671
[75] eval-auc:0.705882 train-auc:0.738006
[76] eval-auc:0.705956 train-auc:0.738635
[77] eval-auc:0.706329 train-auc:0.739
[78] eval-auc:0.706347 train-auc:0.739031
[79] eval-auc:0.706263 train-auc:0.739191
[80] eval-auc:0.705919 train-auc:0.739281
[81] eval-auc:0.706198 train-auc:0.739431
[82] eval-auc:0.705097 train-auc:0.7403
[83] eval-auc:0.705369 train-auc:0.740769
[84] eval-auc:0.705446 train-auc:0.741943
[85] eval-auc:0.705524 train-auc:0.742147
[86] eval-auc:0.70593 train-auc:0.742598
[87] eval-auc:0.706017 train-auc:0.742678
[88] eval-auc:0.706448 train-auc:0.743379
[89] eval-auc:0.706498 train-auc:0.743694
[90] eval-auc:0.706594 train-auc:0.743725
[91] eval-auc:0.70646 train-auc:0.744178
[92] eval-auc:0.707101 train-auc:0.744376
[93] eval-auc:0.706536 train-auc:0.744391
[94] eval-auc:0.707306 train-auc:0.745042
[95] eval-auc:0.707427 train-auc:0.745423
[96] eval-auc:0.707287 train-auc:0.745546
[97] eval-auc:0.707127 train-auc:0.746119
[98] eval-auc:0.706932 train-auc:0.745692
[99] eval-auc:0.706903 train-auc:0.745885
[100] eval-auc:0.707211 train-auc:0.74595
[101] eval-auc:0.707496 train-auc:0.74602
[102] eval-auc:0.707736 train-auc:0.746342
[103] eval-auc:0.707475 train-auc:0.746565
[104] eval-auc:0.707622 train-auc:0.746805
[105] eval-auc:0.707389 train-auc:0.746911
[106] eval-auc:0.707456 train-auc:0.746923
[107] eval-auc:0.706978 train-auc:0.747475
[108] eval-auc:0.707022 train-auc:0.74707
[109] eval-auc:0.707574 train-auc:0.747845
[110] eval-auc:0.707653 train-auc:0.74815
[111] eval-auc:0.707751 train-auc:0.748678
[112] eval-auc:0.70788 train-auc:0.749051
[113] eval-auc:0.707908 train-auc:0.749484
[114] eval-auc:0.708208 train-auc:0.749218
[115] eval-auc:0.708282 train-auc:0.749503
[116] eval-auc:0.708467 train-auc:0.74981
[117] eval-auc:0.708488 train-auc:0.749988
[118] eval-auc:0.70868 train-auc:0.751167
[119] eval-auc:0.708173 train-auc:0.752221
[120] eval-auc:0.708275 train-auc:0.753029
[121] eval-auc:0.708348 train-auc:0.753761
[122] eval-auc:0.708397 train-auc:0.753602
[123] eval-auc:0.7082 train-auc:0.754209
[124] eval-auc:0.708141 train-auc:0.754345
[125] eval-auc:0.707602 train-auc:0.755064
[126] eval-auc:0.708423 train-auc:0.755605
[127] eval-auc:0.708607 train-auc:0.755919
[128] eval-auc:0.70868 train-auc:0.756266
[129] eval-auc:0.708708 train-auc:0.75729
[130] eval-auc:0.70898 train-auc:0.757385
[131] eval-auc:0.70894 train-auc:0.757772
[132] eval-auc:0.70854 train-auc:0.758505
[133] eval-auc:0.708272 train-auc:0.758955
[134] eval-auc:0.708125 train-auc:0.759396
[135] eval-auc:0.70808 train-auc:0.759701
[136] eval-auc:0.70776 train-auc:0.759678
[137] eval-auc:0.707578 train-auc:0.759568
[138] eval-auc:0.707079 train-auc:0.75994
[139] eval-auc:0.706984 train-auc:0.759998
[140] eval-auc:0.707118 train-auc:0.760501
[141] eval-auc:0.706914 train-auc:0.760838
[142] eval-auc:0.707083 train-auc:0.761623
[143] eval-auc:0.70719 train-auc:0.762485
[144] eval-auc:0.707007 train-auc:0.762848
[145] eval-auc:0.707368 train-auc:0.763123
[146] eval-auc:0.707214 train-auc:0.763475
[147] eval-auc:0.707344 train-auc:0.763976
[148] eval-auc:0.706887 train-auc:0.764437
[149] eval-auc:0.707305 train-auc:0.764577
[150] eval-auc:0.707519 train-auc:0.765125
[151] eval-auc:0.708142 train-auc:0.765833
[152] eval-auc:0.708076 train-auc:0.766008
[153] eval-auc:0.708116 train-auc:0.766397
[154] eval-auc:0.70814 train-auc:0.766514
[155] eval-auc:0.708123 train-auc:0.766754
[156] eval-auc:0.70861 train-auc:0.767423
[157] eval-auc:0.708184 train-auc:0.768073
[158] eval-auc:0.708423 train-auc:0.768301
[159] eval-auc:0.708674 train-auc:0.768362
[160] eval-auc:0.708568 train-auc:0.768588
[161] eval-auc:0.708364 train-auc:0.768916
[162] eval-auc:0.707668 train-auc:0.769255
[163] eval-auc:0.707883 train-auc:0.76952
[164] eval-auc:0.708208 train-auc:0.769916
[165] eval-auc:0.708315 train-auc:0.770174
[166] eval-auc:0.708381 train-auc:0.770708
[167] eval-auc:0.708426 train-auc:0.771325
[168] eval-auc:0.708618 train-auc:0.771664
[169] eval-auc:0.708758 train-auc:0.771733
[170] eval-auc:0.708572 train-auc:0.772124
[171] eval-auc:0.708701 train-auc:0.772284
[172] eval-auc:0.708384 train-auc:0.772418
[173] eval-auc:0.708386 train-auc:0.772466
[174] eval-auc:0.708313 train-auc:0.772637
[175] eval-auc:0.708243 train-auc:0.773064
[176] eval-auc:0.708151 train-auc:0.773488
[177] eval-auc:0.70831 train-auc:0.773966
[178] eval-auc:0.70827 train-auc:0.774444
[179] eval-auc:0.708713 train-auc:0.774811
[180] eval-auc:0.708835 train-auc:0.774919
[181] eval-auc:0.708712 train-auc:0.775349
[182] eval-auc:0.708809 train-auc:0.775834
[183] eval-auc:0.70905 train-auc:0.776488
[184] eval-auc:0.709016 train-auc:0.776729
[185] eval-auc:0.709109 train-auc:0.776797
[186] eval-auc:0.709586 train-auc:0.777337
[187] eval-auc:0.70943 train-auc:0.777755
[188] eval-auc:0.709563 train-auc:0.778288
[189] eval-auc:0.7097 train-auc:0.778538
[190] eval-auc:0.709799 train-auc:0.778722
[191] eval-auc:0.709475 train-auc:0.779267
[192] eval-auc:0.70956 train-auc:0.77954
[193] eval-auc:0.709263 train-auc:0.779978
[194] eval-auc:0.709395 train-auc:0.780111
[195] eval-auc:0.709351 train-auc:0.780291
[196] eval-auc:0.708957 train-auc:0.780915
[197] eval-auc:0.708899 train-auc:0.780923
[198] eval-auc:0.708578 train-auc:0.781144
[199] eval-auc:0.708352 train-auc:0.781382
[200] eval-auc:0.708358 train-auc:0.781455
[201] eval-auc:0.708505 train-auc:0.78172
[202] eval-auc:0.707809 train-auc:0.782385
[203] eval-auc:0.707436 train-auc:0.782245
[204] eval-auc:0.707551 train-auc:0.78251
[205] eval-auc:0.70758 train-auc:0.782869
[206] eval-auc:0.707562 train-auc:0.783397
[207] eval-auc:0.707701 train-auc:0.783472
[208] eval-auc:0.70797 train-auc:0.783857
[209] eval-auc:0.707865 train-auc:0.784175
[210] eval-auc:0.708094 train-auc:0.783897
[211] eval-auc:0.708019 train-auc:0.784073
[212] eval-auc:0.708494 train-auc:0.784437
[213] eval-auc:0.708559 train-auc:0.784702
[214] eval-auc:0.70857 train-auc:0.785158
[215] eval-auc:0.708094 train-auc:0.785727
[216] eval-auc:0.707842 train-auc:0.786079
[217] eval-auc:0.707939 train-auc:0.786103
[218] eval-auc:0.707574 train-auc:0.786296
[219] eval-auc:0.707224 train-auc:0.78653
[220] eval-auc:0.707008 train-auc:0.787081
[221] eval-auc:0.707133 train-auc:0.78718
[222] eval-auc:0.707079 train-auc:0.787449
[223] eval-auc:0.707139 train-auc:0.78733
[224] eval-auc:0.707248 train-auc:0.787578
[225] eval-auc:0.707254 train-auc:0.787861
[226] eval-auc:0.707386 train-auc:0.788143
[227] eval-auc:0.707353 train-auc:0.78817
[228] eval-auc:0.706942 train-auc:0.788295
[229] eval-auc:0.706913 train-auc:0.788633
[230] eval-auc:0.706689 train-auc:0.788796
[231] eval-auc:0.706664 train-auc:0.789116
[232] eval-auc:0.706515 train-auc:0.789374
[233] eval-auc:0.706593 train-auc:0.789827
[234] eval-auc:0.706457 train-auc:0.789782
[235] eval-auc:0.706442 train-auc:0.790491
[236] eval-auc:0.706721 train-auc:0.79077
[237] eval-auc:0.706652 train-auc:0.790885
[238] eval-auc:0.706683 train-auc:0.791238
[239] eval-auc:0.706727 train-auc:0.791591
[240] eval-auc:0.706745 train-auc:0.791615
[241] eval-auc:0.706282 train-auc:0.792192
[242] eval-auc:0.705892 train-auc:0.792706
[243] eval-auc:0.706125 train-auc:0.792971
[244] eval-auc:0.706067 train-auc:0.793184
[245] eval-auc:0.706109 train-auc:0.793177
[246] eval-auc:0.706364 train-auc:0.793572
[247] eval-auc:0.706603 train-auc:0.793754
[248] eval-auc:0.706616 train-auc:0.79376
[249] eval-auc:0.706352 train-auc:0.793912
[250] eval-auc:0.705758 train-auc:0.794158
[251] eval-auc:0.705665 train-auc:0.794273
[252] eval-auc:0.705908 train-auc:0.794784
[253] eval-auc:0.705658 train-auc:0.795239
[254] eval-auc:0.705621 train-auc:0.795469
[255] eval-auc:0.705784 train-auc:0.795868
[256] eval-auc:0.705803 train-auc:0.795914
[257] eval-auc:0.706232 train-auc:0.796158
[258] eval-auc:0.70597 train-auc:0.796483
[259] eval-auc:0.706147 train-auc:0.796819
[260] eval-auc:0.706153 train-auc:0.796853
[261] eval-auc:0.70616 train-auc:0.796882
[262] eval-auc:0.70602 train-auc:0.796834
[263] eval-auc:0.706048 train-auc:0.796982
[264] eval-auc:0.705821 train-auc:0.797008
[265] eval-auc:0.705748 train-auc:0.796815
[266] eval-auc:0.70602 train-auc:0.797008
[267] eval-auc:0.705745 train-auc:0.796948
[268] eval-auc:0.705635 train-auc:0.797183
[269] eval-auc:0.705528 train-auc:0.797487
[270] eval-auc:0.705563 train-auc:0.797725
[271] eval-auc:0.705822 train-auc:0.797907
[272] eval-auc:0.706223 train-auc:0.798162
[273] eval-auc:0.706326 train-auc:0.798548
[274] eval-auc:0.70617 train-auc:0.798732
[275] eval-auc:0.706022 train-auc:0.79908
Score 0.7060218177831379
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 1.0, 'eta': 0.225, 'eval_metric': 'auc', 'gamma': 0.9500000000000001, 'max_depth': 13, 'min_child_weight': 1.0, 'n_estimators': 155.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.709522 train-auc:0.922958
[1] eval-auc:0.70265 train-auc:0.964754
[2] eval-auc:0.706687 train-auc:0.983148
[3] eval-auc:0.707743 train-auc:0.989782
[4] eval-auc:0.705493 train-auc:0.993906
[5] eval-auc:0.700803 train-auc:0.995955
[6] eval-auc:0.702792 train-auc:0.997981
[7] eval-auc:0.702671 train-auc:0.998575
[8] eval-auc:0.70434 train-auc:0.999427
[9] eval-auc:0.702934 train-auc:0.99972
[10] eval-auc:0.702861 train-auc:0.999786
[11] eval-auc:0.702981 train-auc:0.999886
[12] eval-auc:0.701279 train-auc:0.999951
[13] eval-auc:0.703092 train-auc:0.999964
[14] eval-auc:0.703573 train-auc:0.999979
[15] eval-auc:0.70463 train-auc:0.999988
[16] eval-auc:0.705758 train-auc:0.999994
[17] eval-auc:0.70377 train-auc:0.999995
[18] eval-auc:0.704237 train-auc:0.999999
[19] eval-auc:0.704581 train-auc:0.999999
[20] eval-auc:0.704284 train-auc:0.999999
[21] eval-auc:0.704371 train-auc:0.999999
[22] eval-auc:0.70482 train-auc:0.999999
[23] eval-auc:0.704487 train-auc:0.999999
[24] eval-auc:0.70414 train-auc:1
[25] eval-auc:0.704053 train-auc:1
[26] eval-auc:0.703474 train-auc:1
[27] eval-auc:0.70488 train-auc:1
[28] eval-auc:0.705553 train-auc:1
[29] eval-auc:0.705964 train-auc:1
[30] eval-auc:0.706602 train-auc:1
[31] eval-auc:0.707213 train-auc:1
[32] eval-auc:0.706523 train-auc:1
[33] eval-auc:0.707365 train-auc:1
[34] eval-auc:0.707181 train-auc:1
[35] eval-auc:0.708163 train-auc:1
[36] eval-auc:0.708181 train-auc:1
[37] eval-auc:0.708291 train-auc:1
[38] eval-auc:0.707002 train-auc:1
[39] eval-auc:0.708906 train-auc:1
[40] eval-auc:0.70856 train-auc:1
[41] eval-auc:0.70664 train-auc:1
[42] eval-auc:0.70636 train-auc:1
[43] eval-auc:0.706824 train-auc:1
[44] eval-auc:0.705994 train-auc:1
[45] eval-auc:0.706002 train-auc:1
[46] eval-auc:0.706348 train-auc:1
[47] eval-auc:0.707354 train-auc:1
[48] eval-auc:0.707229 train-auc:1
[49] eval-auc:0.708059 train-auc:1
[50] eval-auc:0.707575 train-auc:1
[51] eval-auc:0.707484 train-auc:1
[52] eval-auc:0.707618 train-auc:1
[53] eval-auc:0.707695 train-auc:1
[54] eval-auc:0.707988 train-auc:1
[55] eval-auc:0.707988 train-auc:1
[56] eval-auc:0.707916 train-auc:1
[57] eval-auc:0.707916 train-auc:1
[58] eval-auc:0.707822 train-auc:1
[59] eval-auc:0.708275 train-auc:1
[60] eval-auc:0.708481 train-auc:1
[61] eval-auc:0.708952 train-auc:1
[62] eval-auc:0.709331 train-auc:1
[63] eval-auc:0.709538 train-auc:1
[64] eval-auc:0.709535 train-auc:1
[65] eval-auc:0.709669 train-auc:1
[66] eval-auc:0.709411 train-auc:1
[67] eval-auc:0.709089 train-auc:1
[68] eval-auc:0.709073 train-auc:1
[69] eval-auc:0.709086 train-auc:1
[70] eval-auc:0.708854 train-auc:1
[71] eval-auc:0.708944 train-auc:1
[72] eval-auc:0.708633 train-auc:1
[73] eval-auc:0.709623 train-auc:1
[74] eval-auc:0.709888 train-auc:1
[75] eval-auc:0.709724 train-auc:1
[76] eval-auc:0.709737 train-auc:1
[77] eval-auc:0.71022 train-auc:1
[78] eval-auc:0.709915 train-auc:1
[79] eval-auc:0.709915 train-auc:1
[80] eval-auc:0.709984 train-auc:1
[81] eval-auc:0.710072 train-auc:1
[82] eval-auc:0.709871 train-auc:1
[83] eval-auc:0.709871 train-auc:1
[84] eval-auc:0.709871 train-auc:1
[85] eval-auc:0.709692 train-auc:1
[86] eval-auc:0.70959 train-auc:1
[87] eval-auc:0.709614 train-auc:1
[88] eval-auc:0.709419 train-auc:1
[89] eval-auc:0.709666 train-auc:1
[90] eval-auc:0.709366 train-auc:1
[91] eval-auc:0.70885 train-auc:1
[92] eval-auc:0.709319 train-auc:1
[93] eval-auc:0.7095 train-auc:1
[94] eval-auc:0.709373 train-auc:1
[95] eval-auc:0.709146 train-auc:1
[96] eval-auc:0.709462 train-auc:1
[97] eval-auc:0.709865 train-auc:1
[98] eval-auc:0.709865 train-auc:1
[99] eval-auc:0.710002 train-auc:1
[100] eval-auc:0.710045 train-auc:1
[101] eval-auc:0.710045 train-auc:1
[102] eval-auc:0.709984 train-auc:1
[103] eval-auc:0.709577 train-auc:1
[104] eval-auc:0.709577 train-auc:1
[105] eval-auc:0.709577 train-auc:1
[106] eval-auc:0.709759 train-auc:1
[107] eval-auc:0.709759 train-auc:1
[108] eval-auc:0.709675 train-auc:1
[109] eval-auc:0.709675 train-auc:1
[110] eval-auc:0.709675 train-auc:1
[111] eval-auc:0.709536 train-auc:1
[112] eval-auc:0.709721 train-auc:1
[113] eval-auc:0.70996 train-auc:1
[114] eval-auc:0.70996 train-auc:1
[115] eval-auc:0.710116 train-auc:1
[116] eval-auc:0.710724 train-auc:1
[117] eval-auc:0.710724 train-auc:1
[118] eval-auc:0.710968 train-auc:1
[119] eval-auc:0.710923 train-auc:1
[120] eval-auc:0.710561 train-auc:1
[121] eval-auc:0.710561 train-auc:1
[122] eval-auc:0.710386 train-auc:1
[123] eval-auc:0.710517 train-auc:1
[124] eval-auc:0.710517 train-auc:1
[125] eval-auc:0.710151 train-auc:1
[126] eval-auc:0.710151 train-auc:1
[127] eval-auc:0.710078 train-auc:1
[128] eval-auc:0.710043 train-auc:1
[129] eval-auc:0.710043 train-auc:1
[130] eval-auc:0.710162 train-auc:1
[131] eval-auc:0.710162 train-auc:1
[132] eval-auc:0.710123 train-auc:1
[133] eval-auc:0.710162 train-auc:1
[134] eval-auc:0.710162 train-auc:1
[135] eval-auc:0.710165 train-auc:1
[136] eval-auc:0.710279 train-auc:1
[137] eval-auc:0.710339 train-auc:1
[138] eval-auc:0.710625 train-auc:1
[139] eval-auc:0.710806 train-auc:1
[140] eval-auc:0.710812 train-auc:1
[141] eval-auc:0.710803 train-auc:1
[142] eval-auc:0.711067 train-auc:1
[143] eval-auc:0.710386 train-auc:1
[144] eval-auc:0.710324 train-auc:1
[145] eval-auc:0.710324 train-auc:1
[146] eval-auc:0.710324 train-auc:1
[147] eval-auc:0.710324 train-auc:1
[148] eval-auc:0.710209 train-auc:1
[149] eval-auc:0.710209 train-auc:1
[150] eval-auc:0.710319 train-auc:1
[151] eval-auc:0.710132 train-auc:1
[152] eval-auc:0.710132 train-auc:1
[153] eval-auc:0.710177 train-auc:1
[154] eval-auc:0.709958 train-auc:1
Score 0.7099580942635432
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9500000000000001, 'eta': 0.125, 'eval_metric': 'auc', 'gamma': 0.9, 'max_depth': 1, 'min_child_weight': 2.0, 'n_estimators': 255.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.637627 train-auc:0.641495
[1] eval-auc:0.6691 train-auc:0.677286
[2] eval-auc:0.6691 train-auc:0.677286
[3] eval-auc:0.704578 train-auc:0.70064
[4] eval-auc:0.704578 train-auc:0.70064
[5] eval-auc:0.704578 train-auc:0.70064
[6] eval-auc:0.704578 train-auc:0.70064
[7] eval-auc:0.704578 train-auc:0.70064
[8] eval-auc:0.697034 train-auc:0.698654
[9] eval-auc:0.697034 train-auc:0.698654
[10] eval-auc:0.704578 train-auc:0.70064
[11] eval-auc:0.697034 train-auc:0.698654
[12] eval-auc:0.697144 train-auc:0.698895
[13] eval-auc:0.705646 train-auc:0.70112
[14] eval-auc:0.698684 train-auc:0.699204
[15] eval-auc:0.698684 train-auc:0.699204
[16] eval-auc:0.698474 train-auc:0.6991
[17] eval-auc:0.699923 train-auc:0.699606
[18] eval-auc:0.699923 train-auc:0.699606
[19] eval-auc:0.699716 train-auc:0.699505
[20] eval-auc:0.699923 train-auc:0.699606
[21] eval-auc:0.699835 train-auc:0.699586
[22] eval-auc:0.706719 train-auc:0.701365
[23] eval-auc:0.701132 train-auc:0.699246
[24] eval-auc:0.699923 train-auc:0.699606
[25] eval-auc:0.707928 train-auc:0.701005
[26] eval-auc:0.701132 train-auc:0.699246
[27] eval-auc:0.701132 train-auc:0.699246
[28] eval-auc:0.707925 train-auc:0.701002
[29] eval-auc:0.707928 train-auc:0.701005
[30] eval-auc:0.707928 train-auc:0.701005
[31] eval-auc:0.70864 train-auc:0.70164
[32] eval-auc:0.709352 train-auc:0.703806
[33] eval-auc:0.707152 train-auc:0.704288
[34] eval-auc:0.707969 train-auc:0.705962
[35] eval-auc:0.705891 train-auc:0.704472
[36] eval-auc:0.706235 train-auc:0.70473
[37] eval-auc:0.706801 train-auc:0.704359
[38] eval-auc:0.70481 train-auc:0.704071
[39] eval-auc:0.705595 train-auc:0.704188
[40] eval-auc:0.706057 train-auc:0.704481
[41] eval-auc:0.706311 train-auc:0.704723
[42] eval-auc:0.706211 train-auc:0.704387
[43] eval-auc:0.706248 train-auc:0.705677
[44] eval-auc:0.705849 train-auc:0.705493
[45] eval-auc:0.70559 train-auc:0.705516
[46] eval-auc:0.703253 train-auc:0.707734
[47] eval-auc:0.704058 train-auc:0.707886
[48] eval-auc:0.703653 train-auc:0.708044
[49] eval-auc:0.704118 train-auc:0.708153
[50] eval-auc:0.704357 train-auc:0.708902
[51] eval-auc:0.703139 train-auc:0.708475
[52] eval-auc:0.70348 train-auc:0.708596
[53] eval-auc:0.703662 train-auc:0.708953
[54] eval-auc:0.704053 train-auc:0.709054
[55] eval-auc:0.704568 train-auc:0.709592
[56] eval-auc:0.705899 train-auc:0.710954
[57] eval-auc:0.705669 train-auc:0.711025
[58] eval-auc:0.705672 train-auc:0.710838
[59] eval-auc:0.705793 train-auc:0.710922
[60] eval-auc:0.705019 train-auc:0.710705
[61] eval-auc:0.705199 train-auc:0.710857
[62] eval-auc:0.705639 train-auc:0.710663
[63] eval-auc:0.705776 train-auc:0.710956
[64] eval-auc:0.70594 train-auc:0.711099
[65] eval-auc:0.706144 train-auc:0.711364
[66] eval-auc:0.706297 train-auc:0.711816
[67] eval-auc:0.706536 train-auc:0.711827
[68] eval-auc:0.706155 train-auc:0.711857
[69] eval-auc:0.705767 train-auc:0.711686
[70] eval-auc:0.706002 train-auc:0.712098
[71] eval-auc:0.705825 train-auc:0.712159
[72] eval-auc:0.705967 train-auc:0.712177
[73] eval-auc:0.706194 train-auc:0.712316
[74] eval-auc:0.705786 train-auc:0.712385
[75] eval-auc:0.705902 train-auc:0.71247
[76] eval-auc:0.70537 train-auc:0.712411
[77] eval-auc:0.705752 train-auc:0.712271
[78] eval-auc:0.705813 train-auc:0.712311
[79] eval-auc:0.706025 train-auc:0.7126
[80] eval-auc:0.706209 train-auc:0.712865
[81] eval-auc:0.706049 train-auc:0.713049
[82] eval-auc:0.705574 train-auc:0.713082
[83] eval-auc:0.70546 train-auc:0.712958
[84] eval-auc:0.705215 train-auc:0.712712
[85] eval-auc:0.705317 train-auc:0.712815
[86] eval-auc:0.705426 train-auc:0.712747
[87] eval-auc:0.705627 train-auc:0.713278
[88] eval-auc:0.705997 train-auc:0.713488
[89] eval-auc:0.706386 train-auc:0.713882
[90] eval-auc:0.705965 train-auc:0.71403
[91] eval-auc:0.706017 train-auc:0.714087
[92] eval-auc:0.706095 train-auc:0.714399
[93] eval-auc:0.706182 train-auc:0.714394
[94] eval-auc:0.706734 train-auc:0.714886
[95] eval-auc:0.707031 train-auc:0.715128
[96] eval-auc:0.70701 train-auc:0.715085
[97] eval-auc:0.706643 train-auc:0.714875
[98] eval-auc:0.706064 train-auc:0.714886
[99] eval-auc:0.705362 train-auc:0.714997
[100] eval-auc:0.705539 train-auc:0.715069
[101] eval-auc:0.705487 train-auc:0.715118
[102] eval-auc:0.705672 train-auc:0.715146
[103] eval-auc:0.705819 train-auc:0.715159
[104] eval-auc:0.706051 train-auc:0.715318
[105] eval-auc:0.705966 train-auc:0.715331
[106] eval-auc:0.70579 train-auc:0.715146
[107] eval-auc:0.705698 train-auc:0.715121
[108] eval-auc:0.705756 train-auc:0.715472
[109] eval-auc:0.705837 train-auc:0.715541
[110] eval-auc:0.705854 train-auc:0.715463
[111] eval-auc:0.706056 train-auc:0.715507
[112] eval-auc:0.706231 train-auc:0.715773
[113] eval-auc:0.70578 train-auc:0.715954
[114] eval-auc:0.705757 train-auc:0.716057
[115] eval-auc:0.70592 train-auc:0.715934
[116] eval-auc:0.705982 train-auc:0.716057
[117] eval-auc:0.705396 train-auc:0.716172
[118] eval-auc:0.70535 train-auc:0.716205
[119] eval-auc:0.705487 train-auc:0.71625
[120] eval-auc:0.705353 train-auc:0.716176
[121] eval-auc:0.705469 train-auc:0.716279
[122] eval-auc:0.705023 train-auc:0.716487
[123] eval-auc:0.704767 train-auc:0.716443
[124] eval-auc:0.704774 train-auc:0.716606
[125] eval-auc:0.704899 train-auc:0.716711
[126] eval-auc:0.704756 train-auc:0.716832
[127] eval-auc:0.704414 train-auc:0.716723
[128] eval-auc:0.704391 train-auc:0.716721
[129] eval-auc:0.704315 train-auc:0.716949
[130] eval-auc:0.704327 train-auc:0.717094
[131] eval-auc:0.704409 train-auc:0.717119
[132] eval-auc:0.704452 train-auc:0.717088
[133] eval-auc:0.704467 train-auc:0.717332
[134] eval-auc:0.704304 train-auc:0.717392
[135] eval-auc:0.704306 train-auc:0.717358
[136] eval-auc:0.704293 train-auc:0.717514
[137] eval-auc:0.704231 train-auc:0.717409
[138] eval-auc:0.704362 train-auc:0.717511
[139] eval-auc:0.70474 train-auc:0.717716
[140] eval-auc:0.704318 train-auc:0.717846
[141] eval-auc:0.704437 train-auc:0.717902
[142] eval-auc:0.703812 train-auc:0.717993
[143] eval-auc:0.703984 train-auc:0.71806
[144] eval-auc:0.704096 train-auc:0.718226
[145] eval-auc:0.704138 train-auc:0.718227
[146] eval-auc:0.704111 train-auc:0.718259
[147] eval-auc:0.704137 train-auc:0.718462
[148] eval-auc:0.70426 train-auc:0.718433
[149] eval-auc:0.704237 train-auc:0.718487
[150] eval-auc:0.704313 train-auc:0.718484
[151] eval-auc:0.704173 train-auc:0.718535
[152] eval-auc:0.703872 train-auc:0.718643
[153] eval-auc:0.70392 train-auc:0.718728
[154] eval-auc:0.703948 train-auc:0.718807
[155] eval-auc:0.703684 train-auc:0.718823
[156] eval-auc:0.703796 train-auc:0.718862
[157] eval-auc:0.703636 train-auc:0.718774
[158] eval-auc:0.703759 train-auc:0.718829
[159] eval-auc:0.70371 train-auc:0.718846
[160] eval-auc:0.703645 train-auc:0.718836
[161] eval-auc:0.703791 train-auc:0.718817
[162] eval-auc:0.703797 train-auc:0.718813
[163] eval-auc:0.70385 train-auc:0.718982
[164] eval-auc:0.703512 train-auc:0.719077
[165] eval-auc:0.703254 train-auc:0.719167
[166] eval-auc:0.703282 train-auc:0.719243
[167] eval-auc:0.703263 train-auc:0.719278
[168] eval-auc:0.703366 train-auc:0.71941
[169] eval-auc:0.703336 train-auc:0.719511
[170] eval-auc:0.703249 train-auc:0.719595
[171] eval-auc:0.703288 train-auc:0.719609
[172] eval-auc:0.70355 train-auc:0.719764
[173] eval-auc:0.703581 train-auc:0.719776
[174] eval-auc:0.703366 train-auc:0.719862
[175] eval-auc:0.703381 train-auc:0.719913
[176] eval-auc:0.703468 train-auc:0.719903
[177] eval-auc:0.703474 train-auc:0.720019
[178] eval-auc:0.703576 train-auc:0.720034
[179] eval-auc:0.703556 train-auc:0.720111
[180] eval-auc:0.703613 train-auc:0.720153
[181] eval-auc:0.703666 train-auc:0.720138
[182] eval-auc:0.703566 train-auc:0.720045
[183] eval-auc:0.70357 train-auc:0.720076
[184] eval-auc:0.703506 train-auc:0.720059
[185] eval-auc:0.703642 train-auc:0.720162
[186] eval-auc:0.703684 train-auc:0.720275
[187] eval-auc:0.703657 train-auc:0.720295
[188] eval-auc:0.703648 train-auc:0.720394
[189] eval-auc:0.703458 train-auc:0.720465
[190] eval-auc:0.703229 train-auc:0.720539
[191] eval-auc:0.703389 train-auc:0.720523
[192] eval-auc:0.703462 train-auc:0.720579
[193] eval-auc:0.703466 train-auc:0.720653
[194] eval-auc:0.703522 train-auc:0.720675
[195] eval-auc:0.703504 train-auc:0.720711
[196] eval-auc:0.70358 train-auc:0.720717
[197] eval-auc:0.703445 train-auc:0.720823
[198] eval-auc:0.703372 train-auc:0.720828
[199] eval-auc:0.703436 train-auc:0.720842
[200] eval-auc:0.703276 train-auc:0.720916
[201] eval-auc:0.703307 train-auc:0.720965
[202] eval-auc:0.703615 train-auc:0.720955
[203] eval-auc:0.703376 train-auc:0.720994
[204] eval-auc:0.703394 train-auc:0.721046
[205] eval-auc:0.703343 train-auc:0.721024
[206] eval-auc:0.703355 train-auc:0.720998
[207] eval-auc:0.703454 train-auc:0.721092
[208] eval-auc:0.703519 train-auc:0.721129
[209] eval-auc:0.703594 train-auc:0.721142
[210] eval-auc:0.703515 train-auc:0.721247
[211] eval-auc:0.703571 train-auc:0.721275
[212] eval-auc:0.703635 train-auc:0.721281
[213] eval-auc:0.703827 train-auc:0.721401
[214] eval-auc:0.703955 train-auc:0.721467
[215] eval-auc:0.703933 train-auc:0.721464
[216] eval-auc:0.703944 train-auc:0.721546
[217] eval-auc:0.70401 train-auc:0.721535
[218] eval-auc:0.704048 train-auc:0.721518
[219] eval-auc:0.704063 train-auc:0.721603
[220] eval-auc:0.704041 train-auc:0.721667
[221] eval-auc:0.704356 train-auc:0.72169
[222] eval-auc:0.704332 train-auc:0.721742
[223] eval-auc:0.704129 train-auc:0.721784
[224] eval-auc:0.70403 train-auc:0.721807
[225] eval-auc:0.70431 train-auc:0.721849
[226] eval-auc:0.70431 train-auc:0.721906
[227] eval-auc:0.70422 train-auc:0.72188
[228] eval-auc:0.704356 train-auc:0.721971
[229] eval-auc:0.70424 train-auc:0.722068
[230] eval-auc:0.704295 train-auc:0.722071
[231] eval-auc:0.704359 train-auc:0.722049
[232] eval-auc:0.70433 train-auc:0.722059
[233] eval-auc:0.704392 train-auc:0.722124
[234] eval-auc:0.704275 train-auc:0.722131
[235] eval-auc:0.704202 train-auc:0.722132
[236] eval-auc:0.704493 train-auc:0.722156
[237] eval-auc:0.7043 train-auc:0.722229
[238] eval-auc:0.704356 train-auc:0.722308
[239] eval-auc:0.704342 train-auc:0.722299
[240] eval-auc:0.704004 train-auc:0.722344
[241] eval-auc:0.704024 train-auc:0.722394
[242] eval-auc:0.703855 train-auc:0.722455
[243] eval-auc:0.703732 train-auc:0.722407
[244] eval-auc:0.703765 train-auc:0.722378
[245] eval-auc:0.703808 train-auc:0.7224
[246] eval-auc:0.703839 train-auc:0.722454
[247] eval-auc:0.703853 train-auc:0.722501
[248] eval-auc:0.703923 train-auc:0.72257
[249] eval-auc:0.703904 train-auc:0.722631
[250] eval-auc:0.703865 train-auc:0.722623
[251] eval-auc:0.703772 train-auc:0.722703
[252] eval-auc:0.703827 train-auc:0.722705
[253] eval-auc:0.703783 train-auc:0.722741
[254] eval-auc:0.703684 train-auc:0.722779
Score 0.70368441569516
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 1.0, 'eta': 0.5, 'eval_metric': 'auc', 'gamma': 0.9500000000000001, 'max_depth': 6, 'min_child_weight': 2.0, 'n_estimators': 803.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.700258 train-auc:0.776948
[1] eval-auc:0.690744 train-auc:0.818241
[2] eval-auc:0.691614 train-auc:0.851499
[3] eval-auc:0.703079 train-auc:0.873945
[4] eval-auc:0.704018 train-auc:0.881095
[5] eval-auc:0.702304 train-auc:0.901729
[6] eval-auc:0.702072 train-auc:0.913214
[7] eval-auc:0.699138 train-auc:0.919077
[8] eval-auc:0.6984 train-auc:0.932971
[9] eval-auc:0.700748 train-auc:0.942085
[10] eval-auc:0.701874 train-auc:0.943971
[11] eval-auc:0.700977 train-auc:0.951967
[12] eval-auc:0.699182 train-auc:0.95448
[13] eval-auc:0.697969 train-auc:0.956801
[14] eval-auc:0.698737 train-auc:0.958812
[15] eval-auc:0.698224 train-auc:0.966185
[16] eval-auc:0.697986 train-auc:0.967387
[17] eval-auc:0.697981 train-auc:0.972755
[18] eval-auc:0.698884 train-auc:0.978016
[19] eval-auc:0.700934 train-auc:0.98117
[20] eval-auc:0.701374 train-auc:0.982631
[21] eval-auc:0.701084 train-auc:0.985074
[22] eval-auc:0.702157 train-auc:0.988277
[23] eval-auc:0.703167 train-auc:0.989439
[24] eval-auc:0.70483 train-auc:0.991165
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[798] eval-auc:0.698729 train-auc:1
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[800] eval-auc:0.698729 train-auc:1
[801] eval-auc:0.698729 train-auc:1
[802] eval-auc:0.698729 train-auc:1
Score 0.6987294278161507
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9500000000000001, 'eta': 0.17500000000000002, 'eval_metric': 'auc', 'gamma': 1.0, 'max_depth': 3, 'min_child_weight': 1.0, 'n_estimators': 303.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.6000000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.696362 train-auc:0.719773
[1] eval-auc:0.685634 train-auc:0.727996
[2] eval-auc:0.69454 train-auc:0.73466
[3] eval-auc:0.696123 train-auc:0.740109
[4] eval-auc:0.701645 train-auc:0.73981
[5] eval-auc:0.700713 train-auc:0.746769
[6] eval-auc:0.701495 train-auc:0.750011
[7] eval-auc:0.701632 train-auc:0.756435
[8] eval-auc:0.700979 train-auc:0.759521
[9] eval-auc:0.700334 train-auc:0.759794
[10] eval-auc:0.700938 train-auc:0.76011
[11] eval-auc:0.702626 train-auc:0.760064
[12] eval-auc:0.708473 train-auc:0.764529
[13] eval-auc:0.710738 train-auc:0.764502
[14] eval-auc:0.70997 train-auc:0.769343
[15] eval-auc:0.707909 train-auc:0.76736
[16] eval-auc:0.709066 train-auc:0.771371
[17] eval-auc:0.705803 train-auc:0.773591
[18] eval-auc:0.708745 train-auc:0.77929
[19] eval-auc:0.70667 train-auc:0.782005
[20] eval-auc:0.706816 train-auc:0.783422
[21] eval-auc:0.708511 train-auc:0.782623
[22] eval-auc:0.704881 train-auc:0.785683
[23] eval-auc:0.701506 train-auc:0.78996
[24] eval-auc:0.700299 train-auc:0.791727
[25] eval-auc:0.699559 train-auc:0.793409
[26] eval-auc:0.698676 train-auc:0.795688
[27] eval-auc:0.69842 train-auc:0.799172
[28] eval-auc:0.699148 train-auc:0.80067
[29] eval-auc:0.69746 train-auc:0.801931
[30] eval-auc:0.698114 train-auc:0.805097
[31] eval-auc:0.696454 train-auc:0.805974
[32] eval-auc:0.699866 train-auc:0.807533
[33] eval-auc:0.699374 train-auc:0.809673
[34] eval-auc:0.700369 train-auc:0.811464
[35] eval-auc:0.697607 train-auc:0.81221
[36] eval-auc:0.698883 train-auc:0.8143
[37] eval-auc:0.69932 train-auc:0.814025
[38] eval-auc:0.699734 train-auc:0.815762
[39] eval-auc:0.700383 train-auc:0.817324
[40] eval-auc:0.702559 train-auc:0.820575
[41] eval-auc:0.70204 train-auc:0.822401
[42] eval-auc:0.702223 train-auc:0.824616
[43] eval-auc:0.701878 train-auc:0.825902
[44] eval-auc:0.702445 train-auc:0.827398
[45] eval-auc:0.702963 train-auc:0.828461
[46] eval-auc:0.70496 train-auc:0.830874
[47] eval-auc:0.704029 train-auc:0.832261
[48] eval-auc:0.704153 train-auc:0.832699
[49] eval-auc:0.703316 train-auc:0.83635
[50] eval-auc:0.702256 train-auc:0.836968
[51] eval-auc:0.70248 train-auc:0.838017
[52] eval-auc:0.701428 train-auc:0.838676
[53] eval-auc:0.702901 train-auc:0.840023
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[118] eval-auc:0.706265 train-auc:0.89394
[119] eval-auc:0.706471 train-auc:0.894011
[120] eval-auc:0.70682 train-auc:0.894047
[121] eval-auc:0.706925 train-auc:0.893872
[122] eval-auc:0.705879 train-auc:0.894713
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[134] eval-auc:0.709379 train-auc:0.901759
[135] eval-auc:0.708297 train-auc:0.902277
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[142] eval-auc:0.701763 train-auc:0.905703
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[150] eval-auc:0.69971 train-auc:0.908577
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[153] eval-auc:0.699492 train-auc:0.910467
[154] eval-auc:0.700397 train-auc:0.911026
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[156] eval-auc:0.700631 train-auc:0.912416
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[158] eval-auc:0.699977 train-auc:0.913641
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[160] eval-auc:0.700694 train-auc:0.914599
[161] eval-auc:0.700161 train-auc:0.915063
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[163] eval-auc:0.698697 train-auc:0.915565
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[169] eval-auc:0.698647 train-auc:0.918084
[170] eval-auc:0.69849 train-auc:0.918073
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[200] eval-auc:0.697622 train-auc:0.927655
[201] eval-auc:0.697045 train-auc:0.928283
[202] eval-auc:0.696288 train-auc:0.928411
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[206] eval-auc:0.695938 train-auc:0.930421
[207] eval-auc:0.696103 train-auc:0.931115
[208] eval-auc:0.696074 train-auc:0.931335
[209] eval-auc:0.696762 train-auc:0.931256
[210] eval-auc:0.696509 train-auc:0.931375
[211] eval-auc:0.696454 train-auc:0.931523
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[213] eval-auc:0.696065 train-auc:0.931876
[214] eval-auc:0.696357 train-auc:0.932213
[215] eval-auc:0.695497 train-auc:0.932137
[216] eval-auc:0.69601 train-auc:0.932662
[217] eval-auc:0.695561 train-auc:0.933235
[218] eval-auc:0.695972 train-auc:0.933847
[219] eval-auc:0.696465 train-auc:0.934193
[220] eval-auc:0.697117 train-auc:0.934666
[221] eval-auc:0.698257 train-auc:0.934932
[222] eval-auc:0.698288 train-auc:0.935371
[223] eval-auc:0.698816 train-auc:0.935
[224] eval-auc:0.699208 train-auc:0.93583
[225] eval-auc:0.698825 train-auc:0.935765
[226] eval-auc:0.69834 train-auc:0.935738
[227] eval-auc:0.698935 train-auc:0.936356
[228] eval-auc:0.699268 train-auc:0.936539
[229] eval-auc:0.6999 train-auc:0.937397
[230] eval-auc:0.69973 train-auc:0.937688
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[235] eval-auc:0.697618 train-auc:0.93874
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[237] eval-auc:0.697286 train-auc:0.939979
[238] eval-auc:0.696899 train-auc:0.940392
[239] eval-auc:0.697389 train-auc:0.941091
[240] eval-auc:0.697514 train-auc:0.941517
[241] eval-auc:0.698463 train-auc:0.941723
[242] eval-auc:0.698633 train-auc:0.941722
[243] eval-auc:0.699125 train-auc:0.941444
[244] eval-auc:0.69934 train-auc:0.941839
[245] eval-auc:0.699412 train-auc:0.942109
[246] eval-auc:0.699441 train-auc:0.942639
[247] eval-auc:0.699559 train-auc:0.943317
[248] eval-auc:0.699329 train-auc:0.943409
[249] eval-auc:0.699413 train-auc:0.943423
[250] eval-auc:0.699153 train-auc:0.944139
[251] eval-auc:0.699713 train-auc:0.944229
[252] eval-auc:0.700315 train-auc:0.944417
[253] eval-auc:0.699707 train-auc:0.944298
[254] eval-auc:0.69922 train-auc:0.944641
[255] eval-auc:0.699205 train-auc:0.94522
[256] eval-auc:0.699334 train-auc:0.944934
[257] eval-auc:0.699617 train-auc:0.945447
[258] eval-auc:0.698841 train-auc:0.945582
[259] eval-auc:0.698614 train-auc:0.946353
[260] eval-auc:0.699737 train-auc:0.946257
[261] eval-auc:0.700723 train-auc:0.946015
[262] eval-auc:0.700304 train-auc:0.946403
[263] eval-auc:0.69941 train-auc:0.946447
[264] eval-auc:0.699404 train-auc:0.946747
[265] eval-auc:0.699262 train-auc:0.947334
[266] eval-auc:0.699116 train-auc:0.94777
[267] eval-auc:0.698915 train-auc:0.948561
[268] eval-auc:0.698809 train-auc:0.948877
[269] eval-auc:0.699086 train-auc:0.948478
[270] eval-auc:0.69948 train-auc:0.948853
[271] eval-auc:0.699981 train-auc:0.949123
[272] eval-auc:0.699645 train-auc:0.949198
[273] eval-auc:0.699098 train-auc:0.949625
[274] eval-auc:0.699264 train-auc:0.949808
[275] eval-auc:0.698792 train-auc:0.949865
[276] eval-auc:0.697892 train-auc:0.950397
[277] eval-auc:0.697752 train-auc:0.950518
[278] eval-auc:0.697038 train-auc:0.950391
[279] eval-auc:0.697033 train-auc:0.950342
[280] eval-auc:0.697376 train-auc:0.950546
[281] eval-auc:0.696803 train-auc:0.950638
[282] eval-auc:0.696966 train-auc:0.9508
[283] eval-auc:0.696718 train-auc:0.951118
[284] eval-auc:0.698023 train-auc:0.95171
[285] eval-auc:0.697703 train-auc:0.95187
[286] eval-auc:0.697394 train-auc:0.952181
[287] eval-auc:0.697644 train-auc:0.952717
[288] eval-auc:0.696701 train-auc:0.952962
[289] eval-auc:0.697618 train-auc:0.953565
[290] eval-auc:0.697887 train-auc:0.953047
[291] eval-auc:0.697807 train-auc:0.95339
[292] eval-auc:0.697064 train-auc:0.953247
[293] eval-auc:0.696818 train-auc:0.953456
[294] eval-auc:0.696598 train-auc:0.953508
[295] eval-auc:0.696561 train-auc:0.953857
[296] eval-auc:0.69705 train-auc:0.954138
[297] eval-auc:0.696617 train-auc:0.954348
[298] eval-auc:0.696662 train-auc:0.954686
[299] eval-auc:0.697088 train-auc:0.954594
[300] eval-auc:0.696585 train-auc:0.954555
[301] eval-auc:0.696357 train-auc:0.95471
[302] eval-auc:0.696333 train-auc:0.954837
Score 0.6963326389650258
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9, 'eta': 0.05, 'eval_metric': 'auc', 'gamma': 1.0, 'max_depth': 11, 'min_child_weight': 2.0, 'n_estimators': 418.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9, 'tree_method': 'exact'}
[0] eval-auc:0.691875 train-auc:0.873131
[1] eval-auc:0.673114 train-auc:0.921115
[2] eval-auc:0.684758 train-auc:0.947164
[3] eval-auc:0.690794 train-auc:0.9674
[4] eval-auc:0.687683 train-auc:0.976225
[5] eval-auc:0.678176 train-auc:0.9845
[6] eval-auc:0.677777 train-auc:0.986908
[7] eval-auc:0.686687 train-auc:0.9891
[8] eval-auc:0.692319 train-auc:0.991397
[9] eval-auc:0.693495 train-auc:0.993766
[10] eval-auc:0.69154 train-auc:0.994916
[11] eval-auc:0.690213 train-auc:0.996009
[12] eval-auc:0.687027 train-auc:0.996438
[13] eval-auc:0.690399 train-auc:0.997165
[14] eval-auc:0.689063 train-auc:0.997223
[15] eval-auc:0.689381 train-auc:0.997627
[16] eval-auc:0.688184 train-auc:0.998122
[17] eval-auc:0.690408 train-auc:0.998567
[18] eval-auc:0.689162 train-auc:0.998771
[19] eval-auc:0.690912 train-auc:0.998823
[20] eval-auc:0.692791 train-auc:0.999034
[21] eval-auc:0.694811 train-auc:0.999146
[22] eval-auc:0.69361 train-auc:0.99928
[23] eval-auc:0.694545 train-auc:0.999397
[24] eval-auc:0.694557 train-auc:0.99947
[25] eval-auc:0.695756 train-auc:0.999455
[26] eval-auc:0.694521 train-auc:0.99955
[27] eval-auc:0.695618 train-auc:0.999566
[28] eval-auc:0.696805 train-auc:0.999562
[29] eval-auc:0.697976 train-auc:0.999616
[30] eval-auc:0.697208 train-auc:0.999655
[31] eval-auc:0.695224 train-auc:0.999728
[32] eval-auc:0.695171 train-auc:0.999787
[33] eval-auc:0.695233 train-auc:0.999831
[34] eval-auc:0.694888 train-auc:0.999829
[35] eval-auc:0.694275 train-auc:0.999833
[36] eval-auc:0.695139 train-auc:0.999838
[37] eval-auc:0.695509 train-auc:0.999836
[38] eval-auc:0.695891 train-auc:0.999846
[39] eval-auc:0.695449 train-auc:0.999847
[40] eval-auc:0.695183 train-auc:0.999837
[41] eval-auc:0.696151 train-auc:0.999841
[42] eval-auc:0.69529 train-auc:0.999858
[43] eval-auc:0.695902 train-auc:0.999861
[44] eval-auc:0.695844 train-auc:0.999868
[45] eval-auc:0.695731 train-auc:0.999871
[46] eval-auc:0.694968 train-auc:0.999894
[47] eval-auc:0.694935 train-auc:0.999896
[48] eval-auc:0.696087 train-auc:0.999912
[49] eval-auc:0.695969 train-auc:0.999917
[50] eval-auc:0.696401 train-auc:0.999923
[51] eval-auc:0.695717 train-auc:0.999913
[52] eval-auc:0.696308 train-auc:0.999934
[53] eval-auc:0.696392 train-auc:0.999948
[54] eval-auc:0.696445 train-auc:0.999953
[55] eval-auc:0.696849 train-auc:0.999952
[56] eval-auc:0.696159 train-auc:0.999958
[57] eval-auc:0.696742 train-auc:0.999958
[58] eval-auc:0.696928 train-auc:0.999965
[59] eval-auc:0.696395 train-auc:0.999966
[60] eval-auc:0.695938 train-auc:0.999967
[61] eval-auc:0.696698 train-auc:0.999969
[62] eval-auc:0.697106 train-auc:0.999971
[63] eval-auc:0.696887 train-auc:0.999971
[64] eval-auc:0.696811 train-auc:0.999974
[65] eval-auc:0.696663 train-auc:0.999974
[66] eval-auc:0.696124 train-auc:0.999977
[67] eval-auc:0.69685 train-auc:0.99998
[68] eval-auc:0.696773 train-auc:0.999981
[69] eval-auc:0.696876 train-auc:0.999981
[70] eval-auc:0.696494 train-auc:0.99998
[71] eval-auc:0.696809 train-auc:0.99998
[72] eval-auc:0.696805 train-auc:0.999984
[73] eval-auc:0.696799 train-auc:0.999983
[74] eval-auc:0.697627 train-auc:0.999987
[75] eval-auc:0.697297 train-auc:0.999987
[76] eval-auc:0.697376 train-auc:0.999988
[77] eval-auc:0.69677 train-auc:0.999989
[78] eval-auc:0.695987 train-auc:0.999989
[79] eval-auc:0.695456 train-auc:0.999989
[80] eval-auc:0.695203 train-auc:0.999989
[81] eval-auc:0.695209 train-auc:0.99999
[82] eval-auc:0.695369 train-auc:0.999991
[83] eval-auc:0.695238 train-auc:0.999991
[84] eval-auc:0.694714 train-auc:0.999991
[85] eval-auc:0.695156 train-auc:0.999993
[86] eval-auc:0.694374 train-auc:0.999993
[87] eval-auc:0.694183 train-auc:0.999994
[88] eval-auc:0.694263 train-auc:0.999996
[89] eval-auc:0.693985 train-auc:0.999996
[90] eval-auc:0.693911 train-auc:0.999996
[91] eval-auc:0.693613 train-auc:0.999996
[92] eval-auc:0.693675 train-auc:0.999996
[93] eval-auc:0.693394 train-auc:0.999996
[94] eval-auc:0.692948 train-auc:0.999996
[95] eval-auc:0.692657 train-auc:0.999996
[96] eval-auc:0.692707 train-auc:0.999997
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[99] eval-auc:0.693255 train-auc:0.999997
[100] eval-auc:0.692955 train-auc:0.999997
[101] eval-auc:0.69282 train-auc:0.999997
[102] eval-auc:0.692285 train-auc:0.999997
[103] eval-auc:0.692949 train-auc:0.999997
[104] eval-auc:0.693165 train-auc:0.999998
[105] eval-auc:0.69326 train-auc:0.999998
[106] eval-auc:0.693315 train-auc:0.999998
[107] eval-auc:0.693479 train-auc:0.999998
[108] eval-auc:0.69365 train-auc:0.999999
[109] eval-auc:0.693872 train-auc:0.999999
[110] eval-auc:0.693631 train-auc:0.999999
[111] eval-auc:0.693794 train-auc:0.999999
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[120] eval-auc:0.694448 train-auc:1
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[187] eval-auc:0.69364 train-auc:1
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[198] eval-auc:0.694668 train-auc:1
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[200] eval-auc:0.69476 train-auc:1
[201] eval-auc:0.694906 train-auc:1
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[203] eval-auc:0.694388 train-auc:1
[204] eval-auc:0.694455 train-auc:1
[205] eval-auc:0.694388 train-auc:1
[206] eval-auc:0.694443 train-auc:1
[207] eval-auc:0.694307 train-auc:1
[208] eval-auc:0.694269 train-auc:1
[209] eval-auc:0.694262 train-auc:1
[210] eval-auc:0.69455 train-auc:1
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[214] eval-auc:0.693799 train-auc:1
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[217] eval-auc:0.693537 train-auc:1
[218] eval-auc:0.693575 train-auc:1
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[220] eval-auc:0.693478 train-auc:1
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[224] eval-auc:0.69327 train-auc:1
[225] eval-auc:0.693173 train-auc:1
[226] eval-auc:0.693168 train-auc:1
[227] eval-auc:0.693494 train-auc:1
[228] eval-auc:0.693277 train-auc:1
[229] eval-auc:0.693161 train-auc:1
[230] eval-auc:0.693351 train-auc:1
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[233] eval-auc:0.693115 train-auc:1
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[235] eval-auc:0.693328 train-auc:1
[236] eval-auc:0.693423 train-auc:1
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[238] eval-auc:0.693602 train-auc:1
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[240] eval-auc:0.693467 train-auc:1
[241] eval-auc:0.693436 train-auc:1
[242] eval-auc:0.693654 train-auc:1
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[244] eval-auc:0.693459 train-auc:1
[245] eval-auc:0.693357 train-auc:1
[246] eval-auc:0.69391 train-auc:1
[247] eval-auc:0.693898 train-auc:1
[248] eval-auc:0.693787 train-auc:1
[249] eval-auc:0.693773 train-auc:1
[250] eval-auc:0.693799 train-auc:1
[251] eval-auc:0.693686 train-auc:1
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[254] eval-auc:0.693499 train-auc:1
[255] eval-auc:0.693557 train-auc:1
[256] eval-auc:0.693584 train-auc:1
[257] eval-auc:0.693435 train-auc:1
[258] eval-auc:0.693199 train-auc:1
[259] eval-auc:0.693322 train-auc:1
[260] eval-auc:0.693308 train-auc:1
[261] eval-auc:0.693258 train-auc:1
[262] eval-auc:0.693086 train-auc:1
[263] eval-auc:0.692812 train-auc:1
[264] eval-auc:0.692663 train-auc:1
[265] eval-auc:0.692871 train-auc:1
[266] eval-auc:0.692759 train-auc:1
[267] eval-auc:0.69283 train-auc:1
[268] eval-auc:0.692981 train-auc:1
[269] eval-auc:0.693039 train-auc:1
[270] eval-auc:0.69298 train-auc:1
[271] eval-auc:0.692882 train-auc:1
[272] eval-auc:0.69283 train-auc:1
[273] eval-auc:0.692696 train-auc:1
[274] eval-auc:0.692579 train-auc:1
[275] eval-auc:0.692751 train-auc:1
[276] eval-auc:0.6926 train-auc:1
[277] eval-auc:0.692374 train-auc:1
[278] eval-auc:0.692115 train-auc:1
[279] eval-auc:0.692209 train-auc:1
[280] eval-auc:0.692005 train-auc:1
[281] eval-auc:0.692003 train-auc:1
[282] eval-auc:0.69199 train-auc:1
[283] eval-auc:0.691949 train-auc:1
[284] eval-auc:0.69166 train-auc:1
[285] eval-auc:0.691808 train-auc:1
[286] eval-auc:0.691931 train-auc:1
[287] eval-auc:0.691922 train-auc:1
[288] eval-auc:0.692119 train-auc:1
[289] eval-auc:0.691991 train-auc:1
[290] eval-auc:0.691993 train-auc:1
[291] eval-auc:0.691891 train-auc:1
[292] eval-auc:0.691879 train-auc:1
[293] eval-auc:0.691984 train-auc:1
[294] eval-auc:0.691988 train-auc:1
[295] eval-auc:0.692163 train-auc:1
[296] eval-auc:0.692086 train-auc:1
[297] eval-auc:0.692278 train-auc:1
[298] eval-auc:0.692229 train-auc:1
[299] eval-auc:0.692157 train-auc:1
[300] eval-auc:0.692255 train-auc:1
[301] eval-auc:0.692299 train-auc:1
[302] eval-auc:0.692287 train-auc:1
[303] eval-auc:0.692339 train-auc:1
[304] eval-auc:0.692238 train-auc:1
[305] eval-auc:0.692249 train-auc:1
[306] eval-auc:0.69199 train-auc:1
[307] eval-auc:0.692 train-auc:1
[308] eval-auc:0.692016 train-auc:1
[309] eval-auc:0.691973 train-auc:1
[310] eval-auc:0.692346 train-auc:1
[311] eval-auc:0.69259 train-auc:1
[312] eval-auc:0.692607 train-auc:1
[313] eval-auc:0.692491 train-auc:1
[314] eval-auc:0.692319 train-auc:1
[315] eval-auc:0.69224 train-auc:1
[316] eval-auc:0.692083 train-auc:1
[317] eval-auc:0.692089 train-auc:1
[318] eval-auc:0.692133 train-auc:1
[319] eval-auc:0.691869 train-auc:1
[320] eval-auc:0.69181 train-auc:1
[321] eval-auc:0.691728 train-auc:1
[322] eval-auc:0.691713 train-auc:1
[323] eval-auc:0.691643 train-auc:1
[324] eval-auc:0.691685 train-auc:1
[325] eval-auc:0.691814 train-auc:1
[326] eval-auc:0.691867 train-auc:1
[327] eval-auc:0.6922 train-auc:1
[328] eval-auc:0.692404 train-auc:1
[329] eval-auc:0.692395 train-auc:1
[330] eval-auc:0.692558 train-auc:1
[331] eval-auc:0.692506 train-auc:1
[332] eval-auc:0.692503 train-auc:1
[333] eval-auc:0.692512 train-auc:1
[334] eval-auc:0.692501 train-auc:1
[335] eval-auc:0.692593 train-auc:1
[336] eval-auc:0.692677 train-auc:1
[337] eval-auc:0.692559 train-auc:1
[338] eval-auc:0.692504 train-auc:1
[339] eval-auc:0.692489 train-auc:1
[340] eval-auc:0.692307 train-auc:1
[341] eval-auc:0.692206 train-auc:1
[342] eval-auc:0.692258 train-auc:1
[343] eval-auc:0.692533 train-auc:1
[344] eval-auc:0.692614 train-auc:1
[345] eval-auc:0.692622 train-auc:1
[346] eval-auc:0.692807 train-auc:1
[347] eval-auc:0.692585 train-auc:1
[348] eval-auc:0.692769 train-auc:1
[349] eval-auc:0.69267 train-auc:1
[350] eval-auc:0.692504 train-auc:1
[351] eval-auc:0.692567 train-auc:1
[352] eval-auc:0.692203 train-auc:1
[353] eval-auc:0.692284 train-auc:1
[354] eval-auc:0.692305 train-auc:1
[355] eval-auc:0.69225 train-auc:1
[356] eval-auc:0.692431 train-auc:1
[357] eval-auc:0.69274 train-auc:1
[358] eval-auc:0.69273 train-auc:1
[359] eval-auc:0.692867 train-auc:1
[360] eval-auc:0.692786 train-auc:1
[361] eval-auc:0.692794 train-auc:1
[362] eval-auc:0.69274 train-auc:1
[363] eval-auc:0.692992 train-auc:1
[364] eval-auc:0.692967 train-auc:1
[365] eval-auc:0.692852 train-auc:1
[366] eval-auc:0.692812 train-auc:1
[367] eval-auc:0.692619 train-auc:1
[368] eval-auc:0.69257 train-auc:1
[369] eval-auc:0.692567 train-auc:1
[370] eval-auc:0.69267 train-auc:1
[371] eval-auc:0.692635 train-auc:1
[372] eval-auc:0.692593 train-auc:1
[373] eval-auc:0.692722 train-auc:1
[374] eval-auc:0.692785 train-auc:1
[375] eval-auc:0.692798 train-auc:1
[376] eval-auc:0.693251 train-auc:1
[377] eval-auc:0.693162 train-auc:1
[378] eval-auc:0.693291 train-auc:1
[379] eval-auc:0.693077 train-auc:1
[380] eval-auc:0.693088 train-auc:1
[381] eval-auc:0.69315 train-auc:1
[382] eval-auc:0.693235 train-auc:1
[383] eval-auc:0.693034 train-auc:1
[384] eval-auc:0.69301 train-auc:1
[385] eval-auc:0.692864 train-auc:1
[386] eval-auc:0.692938 train-auc:1
[387] eval-auc:0.692948 train-auc:1
[388] eval-auc:0.692996 train-auc:1
[389] eval-auc:0.692937 train-auc:1
[390] eval-auc:0.69291 train-auc:1
[391] eval-auc:0.692979 train-auc:1
[392] eval-auc:0.692931 train-auc:1
[393] eval-auc:0.692961 train-auc:1
[394] eval-auc:0.693103 train-auc:1
[395] eval-auc:0.692987 train-auc:1
[396] eval-auc:0.692969 train-auc:1
[397] eval-auc:0.692827 train-auc:1
[398] eval-auc:0.692879 train-auc:1
[399] eval-auc:0.692876 train-auc:1
[400] eval-auc:0.692765 train-auc:1
[401] eval-auc:0.692779 train-auc:1
[402] eval-auc:0.692859 train-auc:1
[403] eval-auc:0.692966 train-auc:1
[404] eval-auc:0.69287 train-auc:1
[405] eval-auc:0.692823 train-auc:1
[406] eval-auc:0.692911 train-auc:1
[407] eval-auc:0.692973 train-auc:1
[408] eval-auc:0.69301 train-auc:1
[409] eval-auc:0.693057 train-auc:1
[410] eval-auc:0.692925 train-auc:1
[411] eval-auc:0.692977 train-auc:1
[412] eval-auc:0.692946 train-auc:1
[413] eval-auc:0.692773 train-auc:1
[414] eval-auc:0.692637 train-auc:1
[415] eval-auc:0.692533 train-auc:1
[416] eval-auc:0.692532 train-auc:1
[417] eval-auc:0.692658 train-auc:1
Score 0.6926582733374752
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 1.0, 'eta': 0.15000000000000002, 'eval_metric': 'auc', 'gamma': 0.9, 'max_depth': 2, 'min_child_weight': 2.0, 'n_estimators': 773.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.670464 train-auc:0.689717
[1] eval-auc:0.696547 train-auc:0.712046
[2] eval-auc:0.695545 train-auc:0.714832
[3] eval-auc:0.694778 train-auc:0.714162
[4] eval-auc:0.694933 train-auc:0.715523
[5] eval-auc:0.693299 train-auc:0.717034
[6] eval-auc:0.694254 train-auc:0.721122
[7] eval-auc:0.696952 train-auc:0.722284
[8] eval-auc:0.697628 train-auc:0.723611
[9] eval-auc:0.699422 train-auc:0.722984
[10] eval-auc:0.700539 train-auc:0.71929
[11] eval-auc:0.698927 train-auc:0.719622
[12] eval-auc:0.697732 train-auc:0.723827
[13] eval-auc:0.696955 train-auc:0.721166
[14] eval-auc:0.69813 train-auc:0.725087
[15] eval-auc:0.697536 train-auc:0.724481
[16] eval-auc:0.698926 train-auc:0.725222
[17] eval-auc:0.701393 train-auc:0.727648
[18] eval-auc:0.699953 train-auc:0.727091
[19] eval-auc:0.699705 train-auc:0.7284
[20] eval-auc:0.700866 train-auc:0.729028
[21] eval-auc:0.703307 train-auc:0.73126
[22] eval-auc:0.70437 train-auc:0.731685
[23] eval-auc:0.70362 train-auc:0.731228
[24] eval-auc:0.703611 train-auc:0.731325
[25] eval-auc:0.703789 train-auc:0.731613
[26] eval-auc:0.7039 train-auc:0.733276
[27] eval-auc:0.702899 train-auc:0.733399
[28] eval-auc:0.702791 train-auc:0.734757
[29] eval-auc:0.703632 train-auc:0.734941
[30] eval-auc:0.704107 train-auc:0.736139
[31] eval-auc:0.704624 train-auc:0.736599
[32] eval-auc:0.704662 train-auc:0.737065
[33] eval-auc:0.705955 train-auc:0.738154
[34] eval-auc:0.705905 train-auc:0.738192
[35] eval-auc:0.705504 train-auc:0.738822
[36] eval-auc:0.704942 train-auc:0.740843
[37] eval-auc:0.705741 train-auc:0.741888
[38] eval-auc:0.706271 train-auc:0.741877
[39] eval-auc:0.706332 train-auc:0.742104
[40] eval-auc:0.70569 train-auc:0.741509
[41] eval-auc:0.705739 train-auc:0.741858
[42] eval-auc:0.70485 train-auc:0.742961
[43] eval-auc:0.705289 train-auc:0.74418
[44] eval-auc:0.705686 train-auc:0.746379
[45] eval-auc:0.706542 train-auc:0.746152
[46] eval-auc:0.706425 train-auc:0.74652
[47] eval-auc:0.706135 train-auc:0.747176
[48] eval-auc:0.706778 train-auc:0.748732
[49] eval-auc:0.707132 train-auc:0.750106
[50] eval-auc:0.707313 train-auc:0.750729
[51] eval-auc:0.707475 train-auc:0.750789
[52] eval-auc:0.708113 train-auc:0.750981
[53] eval-auc:0.706195 train-auc:0.751715
[54] eval-auc:0.705778 train-auc:0.753165
[55] eval-auc:0.705871 train-auc:0.753517
[56] eval-auc:0.706054 train-auc:0.75368
[57] eval-auc:0.705701 train-auc:0.753919
[58] eval-auc:0.705557 train-auc:0.754457
[59] eval-auc:0.705104 train-auc:0.755841
[60] eval-auc:0.705383 train-auc:0.756574
[61] eval-auc:0.70597 train-auc:0.75746
[62] eval-auc:0.70595 train-auc:0.757871
[63] eval-auc:0.706061 train-auc:0.758897
[64] eval-auc:0.705489 train-auc:0.759289
[65] eval-auc:0.705897 train-auc:0.759501
[66] eval-auc:0.70702 train-auc:0.760478
[67] eval-auc:0.707134 train-auc:0.760686
[68] eval-auc:0.707612 train-auc:0.761522
[69] eval-auc:0.707987 train-auc:0.762574
[70] eval-auc:0.708386 train-auc:0.764119
[71] eval-auc:0.707329 train-auc:0.764523
[72] eval-auc:0.707245 train-auc:0.764427
[73] eval-auc:0.708387 train-auc:0.765173
[74] eval-auc:0.708272 train-auc:0.765586
[75] eval-auc:0.70809 train-auc:0.765598
[76] eval-auc:0.707799 train-auc:0.765532
[77] eval-auc:0.707913 train-auc:0.766024
[78] eval-auc:0.707345 train-auc:0.766804
[79] eval-auc:0.707806 train-auc:0.767184
[80] eval-auc:0.708748 train-auc:0.768083
[81] eval-auc:0.708593 train-auc:0.768385
[82] eval-auc:0.706647 train-auc:0.769249
[83] eval-auc:0.706109 train-auc:0.769426
[84] eval-auc:0.706397 train-auc:0.77055
[85] eval-auc:0.707119 train-auc:0.772346
[86] eval-auc:0.706626 train-auc:0.773094
[87] eval-auc:0.706724 train-auc:0.773722
[88] eval-auc:0.705795 train-auc:0.774194
[89] eval-auc:0.705579 train-auc:0.774763
[90] eval-auc:0.705426 train-auc:0.774837
[91] eval-auc:0.704989 train-auc:0.77566
[92] eval-auc:0.704759 train-auc:0.777139
[93] eval-auc:0.704316 train-auc:0.777022
[94] eval-auc:0.704583 train-auc:0.777983
[95] eval-auc:0.705235 train-auc:0.780079
[96] eval-auc:0.706533 train-auc:0.780485
[97] eval-auc:0.706171 train-auc:0.780339
[98] eval-auc:0.706888 train-auc:0.78141
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[534] eval-auc:0.701015 train-auc:0.89996
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[536] eval-auc:0.701327 train-auc:0.900062
[537] eval-auc:0.701454 train-auc:0.900107
[538] eval-auc:0.701603 train-auc:0.900168
[539] eval-auc:0.701256 train-auc:0.900185
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[553] eval-auc:0.701827 train-auc:0.902018
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[566] eval-auc:0.70088 train-auc:0.903104
[567] eval-auc:0.701161 train-auc:0.903204
[568] eval-auc:0.700863 train-auc:0.903308
[569] eval-auc:0.7013 train-auc:0.903684
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[573] eval-auc:0.700793 train-auc:0.904556
[574] eval-auc:0.701015 train-auc:0.904767
[575] eval-auc:0.700928 train-auc:0.904873
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[577] eval-auc:0.700467 train-auc:0.905374
[578] eval-auc:0.700685 train-auc:0.905335
[579] eval-auc:0.700411 train-auc:0.905366
[580] eval-auc:0.70056 train-auc:0.90572
[581] eval-auc:0.70033 train-auc:0.905807
[582] eval-auc:0.700179 train-auc:0.905811
[583] eval-auc:0.700257 train-auc:0.906001
[584] eval-auc:0.700398 train-auc:0.906391
[585] eval-auc:0.700508 train-auc:0.906559
[586] eval-auc:0.700881 train-auc:0.906872
[587] eval-auc:0.701032 train-auc:0.906763
[588] eval-auc:0.700267 train-auc:0.907061
[589] eval-auc:0.700041 train-auc:0.90713
[590] eval-auc:0.700238 train-auc:0.907351
[591] eval-auc:0.700124 train-auc:0.907295
[592] eval-auc:0.700137 train-auc:0.907413
[593] eval-auc:0.700074 train-auc:0.907544
[594] eval-auc:0.700021 train-auc:0.907678
[595] eval-auc:0.700333 train-auc:0.907837
[596] eval-auc:0.700488 train-auc:0.907895
[597] eval-auc:0.700476 train-auc:0.907997
[598] eval-auc:0.700487 train-auc:0.908267
[599] eval-auc:0.700411 train-auc:0.908275
[600] eval-auc:0.700197 train-auc:0.908498
[601] eval-auc:0.700541 train-auc:0.908979
[602] eval-auc:0.700505 train-auc:0.90898
[603] eval-auc:0.700738 train-auc:0.909378
[604] eval-auc:0.700726 train-auc:0.909482
[605] eval-auc:0.700666 train-auc:0.909935
[606] eval-auc:0.700848 train-auc:0.909792
[607] eval-auc:0.700698 train-auc:0.909802
[608] eval-auc:0.701082 train-auc:0.910095
[609] eval-auc:0.70096 train-auc:0.91011
[610] eval-auc:0.700675 train-auc:0.910294
[611] eval-auc:0.700653 train-auc:0.910401
[612] eval-auc:0.700321 train-auc:0.910451
[613] eval-auc:0.700231 train-auc:0.910479
[614] eval-auc:0.699888 train-auc:0.910685
[615] eval-auc:0.700024 train-auc:0.910479
[616] eval-auc:0.699649 train-auc:0.910549
[617] eval-auc:0.699389 train-auc:0.910761
[618] eval-auc:0.69952 train-auc:0.910897
[619] eval-auc:0.699278 train-auc:0.911041
[620] eval-auc:0.699182 train-auc:0.911077
[621] eval-auc:0.699103 train-auc:0.911068
[622] eval-auc:0.699229 train-auc:0.911192
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[624] eval-auc:0.699145 train-auc:0.911254
[625] eval-auc:0.698637 train-auc:0.911508
[626] eval-auc:0.69821 train-auc:0.911476
[627] eval-auc:0.697982 train-auc:0.911398
[628] eval-auc:0.698225 train-auc:0.911689
[629] eval-auc:0.69848 train-auc:0.911935
[630] eval-auc:0.698629 train-auc:0.91217
[631] eval-auc:0.698568 train-auc:0.912438
[632] eval-auc:0.69851 train-auc:0.912542
[633] eval-auc:0.698431 train-auc:0.912595
[634] eval-auc:0.698531 train-auc:0.912679
[635] eval-auc:0.698871 train-auc:0.912876
[636] eval-auc:0.698775 train-auc:0.912934
[637] eval-auc:0.698937 train-auc:0.912937
[638] eval-auc:0.698921 train-auc:0.913091
[639] eval-auc:0.699058 train-auc:0.913164
[640] eval-auc:0.699119 train-auc:0.91332
[641] eval-auc:0.699116 train-auc:0.913757
[642] eval-auc:0.699107 train-auc:0.913643
[643] eval-auc:0.699205 train-auc:0.913719
[644] eval-auc:0.699441 train-auc:0.913608
[645] eval-auc:0.69936 train-auc:0.913787
[646] eval-auc:0.699517 train-auc:0.913948
[647] eval-auc:0.699747 train-auc:0.91407
[648] eval-auc:0.699565 train-auc:0.914291
[649] eval-auc:0.699657 train-auc:0.914097
[650] eval-auc:0.699826 train-auc:0.914233
[651] eval-auc:0.699631 train-auc:0.914582
[652] eval-auc:0.699434 train-auc:0.914656
[653] eval-auc:0.699541 train-auc:0.914694
[654] eval-auc:0.699346 train-auc:0.914898
[655] eval-auc:0.699349 train-auc:0.915156
[656] eval-auc:0.699331 train-auc:0.915168
[657] eval-auc:0.699756 train-auc:0.915316
[658] eval-auc:0.699788 train-auc:0.915341
[659] eval-auc:0.69969 train-auc:0.915203
[660] eval-auc:0.699337 train-auc:0.915208
[661] eval-auc:0.69887 train-auc:0.915157
[662] eval-auc:0.698866 train-auc:0.915362
[663] eval-auc:0.698859 train-auc:0.915204
[664] eval-auc:0.698803 train-auc:0.915324
[665] eval-auc:0.699071 train-auc:0.915568
[666] eval-auc:0.69883 train-auc:0.915758
[667] eval-auc:0.698553 train-auc:0.915933
[668] eval-auc:0.698774 train-auc:0.91606
[669] eval-auc:0.698903 train-auc:0.91604
[670] eval-auc:0.699211 train-auc:0.91606
[671] eval-auc:0.699063 train-auc:0.916163
[672] eval-auc:0.699535 train-auc:0.916364
[673] eval-auc:0.699677 train-auc:0.91653
[674] eval-auc:0.699377 train-auc:0.9166
[675] eval-auc:0.699494 train-auc:0.916681
[676] eval-auc:0.699154 train-auc:0.9167
[677] eval-auc:0.69887 train-auc:0.916757
[678] eval-auc:0.698941 train-auc:0.916856
[679] eval-auc:0.698781 train-auc:0.91691
[680] eval-auc:0.698595 train-auc:0.917202
[681] eval-auc:0.698474 train-auc:0.917351
[682] eval-auc:0.698101 train-auc:0.917428
[683] eval-auc:0.698545 train-auc:0.917545
[684] eval-auc:0.698229 train-auc:0.917625
[685] eval-auc:0.698409 train-auc:0.917812
[686] eval-auc:0.698146 train-auc:0.917962
[687] eval-auc:0.697863 train-auc:0.917933
[688] eval-auc:0.697632 train-auc:0.917944
[689] eval-auc:0.697476 train-auc:0.918107
[690] eval-auc:0.697598 train-auc:0.918091
[691] eval-auc:0.697676 train-auc:0.918122
[692] eval-auc:0.697883 train-auc:0.918276
[693] eval-auc:0.698014 train-auc:0.91846
[694] eval-auc:0.697798 train-auc:0.918433
[695] eval-auc:0.697819 train-auc:0.918457
[696] eval-auc:0.697558 train-auc:0.918418
[697] eval-auc:0.697351 train-auc:0.918488
[698] eval-auc:0.697159 train-auc:0.918552
[699] eval-auc:0.697044 train-auc:0.918757
[700] eval-auc:0.696911 train-auc:0.918778
[701] eval-auc:0.69687 train-auc:0.918775
[702] eval-auc:0.696954 train-auc:0.918897
[703] eval-auc:0.69728 train-auc:0.918942
[704] eval-auc:0.697313 train-auc:0.918995
[705] eval-auc:0.697329 train-auc:0.918916
[706] eval-auc:0.697529 train-auc:0.918922
[707] eval-auc:0.696981 train-auc:0.918991
[708] eval-auc:0.69694 train-auc:0.919131
[709] eval-auc:0.697053 train-auc:0.919201
[710] eval-auc:0.697128 train-auc:0.919383
[711] eval-auc:0.697373 train-auc:0.919503
[712] eval-auc:0.697245 train-auc:0.919501
[713] eval-auc:0.697364 train-auc:0.919553
[714] eval-auc:0.697239 train-auc:0.919562
[715] eval-auc:0.69719 train-auc:0.91948
[716] eval-auc:0.69708 train-auc:0.919453
[717] eval-auc:0.697074 train-auc:0.919599
[718] eval-auc:0.696782 train-auc:0.919649
[719] eval-auc:0.696095 train-auc:0.9196
[720] eval-auc:0.696078 train-auc:0.919711
[721] eval-auc:0.695833 train-auc:0.920033
[722] eval-auc:0.695625 train-auc:0.920129
[723] eval-auc:0.695941 train-auc:0.9202
[724] eval-auc:0.696081 train-auc:0.920312
[725] eval-auc:0.696009 train-auc:0.920494
[726] eval-auc:0.695909 train-auc:0.920561
[727] eval-auc:0.695697 train-auc:0.920897
[728] eval-auc:0.695784 train-auc:0.920914
[729] eval-auc:0.695602 train-auc:0.920894
[730] eval-auc:0.695654 train-auc:0.920979
[731] eval-auc:0.695855 train-auc:0.921091
[732] eval-auc:0.696163 train-auc:0.921197
[733] eval-auc:0.695955 train-auc:0.921165
[734] eval-auc:0.695917 train-auc:0.921179
[735] eval-auc:0.695786 train-auc:0.921288
[736] eval-auc:0.695678 train-auc:0.921368
[737] eval-auc:0.695609 train-auc:0.921511
[738] eval-auc:0.69601 train-auc:0.921703
[739] eval-auc:0.695807 train-auc:0.921777
[740] eval-auc:0.695672 train-auc:0.92171
[741] eval-auc:0.695623 train-auc:0.921872
[742] eval-auc:0.696033 train-auc:0.92202
[743] eval-auc:0.695975 train-auc:0.921982
[744] eval-auc:0.695733 train-auc:0.922078
[745] eval-auc:0.695647 train-auc:0.92229
[746] eval-auc:0.695681 train-auc:0.922376
[747] eval-auc:0.695771 train-auc:0.92239
[748] eval-auc:0.69596 train-auc:0.922584
[749] eval-auc:0.695634 train-auc:0.922663
[750] eval-auc:0.695503 train-auc:0.922879
[751] eval-auc:0.695768 train-auc:0.922999
[752] eval-auc:0.695885 train-auc:0.923086
[753] eval-auc:0.695815 train-auc:0.923167
[754] eval-auc:0.69559 train-auc:0.923287
[755] eval-auc:0.695656 train-auc:0.923399
[756] eval-auc:0.695644 train-auc:0.923473
[757] eval-auc:0.695408 train-auc:0.923526
[758] eval-auc:0.695169 train-auc:0.923584
[759] eval-auc:0.695153 train-auc:0.923696
[760] eval-auc:0.695283 train-auc:0.923768
[761] eval-auc:0.695459 train-auc:0.92401
[762] eval-auc:0.695428 train-auc:0.924303
[763] eval-auc:0.69553 train-auc:0.924306
[764] eval-auc:0.695532 train-auc:0.924288
[765] eval-auc:0.695247 train-auc:0.924464
[766] eval-auc:0.695422 train-auc:0.924663
[767] eval-auc:0.695637 train-auc:0.924865
[768] eval-auc:0.69546 train-auc:0.924933
[769] eval-auc:0.695221 train-auc:0.925009
[770] eval-auc:0.695043 train-auc:0.925167
[771] eval-auc:0.695162 train-auc:0.925199
[772] eval-auc:0.695317 train-auc:0.9252
Score 0.6953169730414549
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8500000000000001, 'eta': 0.07500000000000001, 'eval_metric': 'auc', 'gamma': 0.9500000000000001, 'max_depth': 10, 'min_child_weight': 1.0, 'n_estimators': 349.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.697355 train-auc:0.885159
[1] eval-auc:0.629428 train-auc:0.941439
[2] eval-auc:0.666541 train-auc:0.955616
[3] eval-auc:0.641732 train-auc:0.964975
[4] eval-auc:0.653082 train-auc:0.970881
[5] eval-auc:0.663905 train-auc:0.979272
[6] eval-auc:0.66888 train-auc:0.983635
[7] eval-auc:0.674465 train-auc:0.983887
[8] eval-auc:0.675961 train-auc:0.985646
[9] eval-auc:0.682112 train-auc:0.989374
[10] eval-auc:0.686544 train-auc:0.98907
[11] eval-auc:0.690477 train-auc:0.989559
[12] eval-auc:0.689001 train-auc:0.991205
[13] eval-auc:0.688304 train-auc:0.992411
[14] eval-auc:0.689223 train-auc:0.993352
[15] eval-auc:0.689238 train-auc:0.995221
[16] eval-auc:0.689288 train-auc:0.995793
[17] eval-auc:0.688084 train-auc:0.996313
[18] eval-auc:0.686948 train-auc:0.99675
[19] eval-auc:0.687979 train-auc:0.996733
[20] eval-auc:0.688006 train-auc:0.996904
[21] eval-auc:0.689224 train-auc:0.997141
[22] eval-auc:0.689535 train-auc:0.997246
[23] eval-auc:0.688987 train-auc:0.997298
[24] eval-auc:0.691123 train-auc:0.997742
[25] eval-auc:0.692092 train-auc:0.998139
[26] eval-auc:0.691815 train-auc:0.998372
[27] eval-auc:0.690837 train-auc:0.998499
[28] eval-auc:0.691446 train-auc:0.99863
[29] eval-auc:0.691343 train-auc:0.998671
[30] eval-auc:0.691201 train-auc:0.998918
[31] eval-auc:0.692521 train-auc:0.999063
[32] eval-auc:0.692819 train-auc:0.999107
[33] eval-auc:0.692916 train-auc:0.999184
[34] eval-auc:0.692806 train-auc:0.999364
[35] eval-auc:0.692806 train-auc:0.999425
[36] eval-auc:0.693042 train-auc:0.999436
[37] eval-auc:0.692911 train-auc:0.999423
[38] eval-auc:0.69234 train-auc:0.999593
[39] eval-auc:0.691985 train-auc:0.999639
[40] eval-auc:0.692057 train-auc:0.99967
[41] eval-auc:0.69333 train-auc:0.999695
[42] eval-auc:0.694239 train-auc:0.999706
[43] eval-auc:0.695044 train-auc:0.999743
[44] eval-auc:0.694388 train-auc:0.999754
[45] eval-auc:0.694717 train-auc:0.999787
[46] eval-auc:0.694932 train-auc:0.999786
[47] eval-auc:0.694953 train-auc:0.999801
[48] eval-auc:0.694417 train-auc:0.999831
[49] eval-auc:0.694067 train-auc:0.999832
[50] eval-auc:0.694151 train-auc:0.99983
[51] eval-auc:0.693765 train-auc:0.999879
[52] eval-auc:0.693531 train-auc:0.999884
[53] eval-auc:0.69301 train-auc:0.999891
[54] eval-auc:0.693531 train-auc:0.999898
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[127] eval-auc:0.689607 train-auc:1
[128] eval-auc:0.689722 train-auc:1
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[131] eval-auc:0.689891 train-auc:1
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[150] eval-auc:0.690482 train-auc:1
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[162] eval-auc:0.691975 train-auc:1
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[175] eval-auc:0.691742 train-auc:1
[176] eval-auc:0.691731 train-auc:1
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[178] eval-auc:0.691807 train-auc:1
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[180] eval-auc:0.691524 train-auc:1
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[185] eval-auc:0.69091 train-auc:1
[186] eval-auc:0.69088 train-auc:1
[187] eval-auc:0.691062 train-auc:1
[188] eval-auc:0.690872 train-auc:1
[189] eval-auc:0.690606 train-auc:1
[190] eval-auc:0.690458 train-auc:1
[191] eval-auc:0.690225 train-auc:1
[192] eval-auc:0.690243 train-auc:1
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[195] eval-auc:0.690402 train-auc:1
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[198] eval-auc:0.690306 train-auc:1
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[218] eval-auc:0.689678 train-auc:1
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[220] eval-auc:0.689678 train-auc:1
[221] eval-auc:0.689853 train-auc:1
[222] eval-auc:0.689588 train-auc:1
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[224] eval-auc:0.689619 train-auc:1
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[226] eval-auc:0.689362 train-auc:1
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[228] eval-auc:0.689362 train-auc:1
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[230] eval-auc:0.689362 train-auc:1
[231] eval-auc:0.689275 train-auc:1
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[234] eval-auc:0.689275 train-auc:1
[235] eval-auc:0.689275 train-auc:1
[236] eval-auc:0.689275 train-auc:1
[237] eval-auc:0.689275 train-auc:1
[238] eval-auc:0.689357 train-auc:1
[239] eval-auc:0.689358 train-auc:1
[240] eval-auc:0.689358 train-auc:1
[241] eval-auc:0.689358 train-auc:1
[242] eval-auc:0.689358 train-auc:1
[243] eval-auc:0.689358 train-auc:1
[244] eval-auc:0.689358 train-auc:1
[245] eval-auc:0.689358 train-auc:1
[246] eval-auc:0.689358 train-auc:1
[247] eval-auc:0.689358 train-auc:1
[248] eval-auc:0.689358 train-auc:1
[249] eval-auc:0.689358 train-auc:1
[250] eval-auc:0.689358 train-auc:1
[251] eval-auc:0.689567 train-auc:1
[252] eval-auc:0.689627 train-auc:1
[253] eval-auc:0.689627 train-auc:1
[254] eval-auc:0.689627 train-auc:1
[255] eval-auc:0.689716 train-auc:1
[256] eval-auc:0.690248 train-auc:1
[257] eval-auc:0.690565 train-auc:1
[258] eval-auc:0.690694 train-auc:1
[259] eval-auc:0.690592 train-auc:1
[260] eval-auc:0.690601 train-auc:1
[261] eval-auc:0.69102 train-auc:1
[262] eval-auc:0.691084 train-auc:1
[263] eval-auc:0.691332 train-auc:1
[264] eval-auc:0.690983 train-auc:1
[265] eval-auc:0.690941 train-auc:1
[266] eval-auc:0.691017 train-auc:1
[267] eval-auc:0.69095 train-auc:1
[268] eval-auc:0.690837 train-auc:1
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[270] eval-auc:0.690832 train-auc:1
[271] eval-auc:0.690814 train-auc:1
[272] eval-auc:0.690633 train-auc:1
[273] eval-auc:0.690584 train-auc:1
[274] eval-auc:0.690584 train-auc:1
[275] eval-auc:0.690584 train-auc:1
[276] eval-auc:0.6906 train-auc:1
[277] eval-auc:0.690162 train-auc:1
[278] eval-auc:0.690333 train-auc:1
[279] eval-auc:0.690408 train-auc:1
[280] eval-auc:0.690313 train-auc:1
[281] eval-auc:0.690313 train-auc:1
[282] eval-auc:0.690313 train-auc:1
[283] eval-auc:0.690313 train-auc:1
[284] eval-auc:0.690313 train-auc:1
[285] eval-auc:0.690313 train-auc:1
[286] eval-auc:0.690313 train-auc:1
[287] eval-auc:0.690313 train-auc:1
[288] eval-auc:0.690313 train-auc:1
[289] eval-auc:0.690313 train-auc:1
[290] eval-auc:0.690313 train-auc:1
[291] eval-auc:0.690205 train-auc:1
[292] eval-auc:0.690205 train-auc:1
[293] eval-auc:0.690204 train-auc:1
[294] eval-auc:0.690204 train-auc:1
[295] eval-auc:0.690204 train-auc:1
[296] eval-auc:0.690204 train-auc:1
[297] eval-auc:0.690204 train-auc:1
[298] eval-auc:0.689943 train-auc:1
[299] eval-auc:0.689943 train-auc:1
[300] eval-auc:0.689943 train-auc:1
[301] eval-auc:0.689943 train-auc:1
[302] eval-auc:0.689733 train-auc:1
[303] eval-auc:0.689856 train-auc:1
[304] eval-auc:0.689856 train-auc:1
[305] eval-auc:0.689509 train-auc:1
[306] eval-auc:0.689509 train-auc:1
[307] eval-auc:0.689509 train-auc:1
[308] eval-auc:0.689509 train-auc:1
[309] eval-auc:0.689509 train-auc:1
[310] eval-auc:0.689509 train-auc:1
[311] eval-auc:0.689509 train-auc:1
[312] eval-auc:0.690155 train-auc:1
[313] eval-auc:0.690155 train-auc:1
[314] eval-auc:0.690155 train-auc:1
[315] eval-auc:0.690155 train-auc:1
[316] eval-auc:0.690099 train-auc:1
[317] eval-auc:0.690175 train-auc:1
[318] eval-auc:0.690175 train-auc:1
[319] eval-auc:0.690175 train-auc:1
[320] eval-auc:0.690175 train-auc:1
[321] eval-auc:0.690175 train-auc:1
[322] eval-auc:0.690175 train-auc:1
[323] eval-auc:0.690175 train-auc:1
[324] eval-auc:0.690175 train-auc:1
[325] eval-auc:0.690175 train-auc:1
[326] eval-auc:0.690175 train-auc:1
[327] eval-auc:0.690277 train-auc:1
[328] eval-auc:0.690277 train-auc:1
[329] eval-auc:0.690277 train-auc:1
[330] eval-auc:0.690277 train-auc:1
[331] eval-auc:0.690277 train-auc:1
[332] eval-auc:0.690277 train-auc:1
[333] eval-auc:0.690277 train-auc:1
[334] eval-auc:0.690257 train-auc:1
[335] eval-auc:0.690257 train-auc:1
[336] eval-auc:0.690458 train-auc:1
[337] eval-auc:0.690458 train-auc:1
[338] eval-auc:0.690458 train-auc:1
[339] eval-auc:0.69072 train-auc:1
[340] eval-auc:0.690895 train-auc:1
[341] eval-auc:0.690884 train-auc:1
[342] eval-auc:0.690884 train-auc:1
[343] eval-auc:0.691169 train-auc:1
[344] eval-auc:0.691169 train-auc:1
[345] eval-auc:0.691169 train-auc:1
[346] eval-auc:0.691169 train-auc:1
[347] eval-auc:0.691169 train-auc:1
[348] eval-auc:0.691169 train-auc:1
Score 0.6911690360462424
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9500000000000001, 'eta': 0.025, 'eval_metric': 'auc', 'gamma': 1.0, 'max_depth': 2, 'min_child_weight': 2.0, 'n_estimators': 137.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.55, 'tree_method': 'exact'}
[0] eval-auc:0.668635 train-auc:0.684082
[1] eval-auc:0.669846 train-auc:0.684857
[2] eval-auc:0.674208 train-auc:0.685294
[3] eval-auc:0.690858 train-auc:0.712208
[4] eval-auc:0.695325 train-auc:0.714514
[5] eval-auc:0.692345 train-auc:0.706069
[6] eval-auc:0.692514 train-auc:0.705916
[7] eval-auc:0.692099 train-auc:0.708697
[8] eval-auc:0.694419 train-auc:0.711072
[9] eval-auc:0.695232 train-auc:0.710978
[10] eval-auc:0.697344 train-auc:0.712855
[11] eval-auc:0.697777 train-auc:0.713577
[12] eval-auc:0.697162 train-auc:0.714689
[13] eval-auc:0.695908 train-auc:0.715924
[14] eval-auc:0.695176 train-auc:0.717312
[15] eval-auc:0.695334 train-auc:0.717016
[16] eval-auc:0.697067 train-auc:0.717298
[17] eval-auc:0.696062 train-auc:0.717362
[18] eval-auc:0.696383 train-auc:0.717915
[19] eval-auc:0.69539 train-auc:0.718284
[20] eval-auc:0.695149 train-auc:0.718445
[21] eval-auc:0.695676 train-auc:0.717812
[22] eval-auc:0.696196 train-auc:0.718375
[23] eval-auc:0.695781 train-auc:0.719041
[24] eval-auc:0.695941 train-auc:0.719958
[25] eval-auc:0.695743 train-auc:0.720667
[26] eval-auc:0.695655 train-auc:0.72051
[27] eval-auc:0.69602 train-auc:0.720817
[28] eval-auc:0.695438 train-auc:0.721323
[29] eval-auc:0.695424 train-auc:0.721738
[30] eval-auc:0.696657 train-auc:0.720888
[31] eval-auc:0.697182 train-auc:0.720864
[32] eval-auc:0.697862 train-auc:0.721112
[33] eval-auc:0.700058 train-auc:0.721677
[34] eval-auc:0.699886 train-auc:0.720885
[35] eval-auc:0.697882 train-auc:0.720403
[36] eval-auc:0.697815 train-auc:0.720119
[37] eval-auc:0.698117 train-auc:0.720883
[38] eval-auc:0.698017 train-auc:0.721432
[39] eval-auc:0.698742 train-auc:0.722156
[40] eval-auc:0.698512 train-auc:0.721744
[41] eval-auc:0.697896 train-auc:0.721714
[42] eval-auc:0.697833 train-auc:0.721603
[43] eval-auc:0.697651 train-auc:0.721576
[44] eval-auc:0.69781 train-auc:0.722041
[45] eval-auc:0.699241 train-auc:0.722571
[46] eval-auc:0.699961 train-auc:0.722924
[47] eval-auc:0.700254 train-auc:0.722873
[48] eval-auc:0.700586 train-auc:0.722967
[49] eval-auc:0.700159 train-auc:0.721442
[50] eval-auc:0.700714 train-auc:0.72001
[51] eval-auc:0.700645 train-auc:0.718923
[52] eval-auc:0.700875 train-auc:0.719902
[53] eval-auc:0.701241 train-auc:0.719411
[54] eval-auc:0.701496 train-auc:0.720507
[55] eval-auc:0.701464 train-auc:0.721156
[56] eval-auc:0.70123 train-auc:0.720744
[57] eval-auc:0.700372 train-auc:0.72012
[58] eval-auc:0.699468 train-auc:0.71954
[59] eval-auc:0.700701 train-auc:0.72046
[60] eval-auc:0.70097 train-auc:0.721546
[61] eval-auc:0.700921 train-auc:0.721379
[62] eval-auc:0.701164 train-auc:0.72237
[63] eval-auc:0.70117 train-auc:0.721967
[64] eval-auc:0.699753 train-auc:0.721329
[65] eval-auc:0.70058 train-auc:0.721273
[66] eval-auc:0.699549 train-auc:0.720694
[67] eval-auc:0.698731 train-auc:0.720657
[68] eval-auc:0.698747 train-auc:0.720925
[69] eval-auc:0.699373 train-auc:0.721508
[70] eval-auc:0.698771 train-auc:0.721259
[71] eval-auc:0.699339 train-auc:0.722028
[72] eval-auc:0.698902 train-auc:0.721649
[73] eval-auc:0.698662 train-auc:0.721375
[74] eval-auc:0.699032 train-auc:0.722003
[75] eval-auc:0.698908 train-auc:0.721387
[76] eval-auc:0.699328 train-auc:0.722003
[77] eval-auc:0.700028 train-auc:0.722236
[78] eval-auc:0.699171 train-auc:0.722074
[79] eval-auc:0.700079 train-auc:0.722695
[80] eval-auc:0.699329 train-auc:0.722462
[81] eval-auc:0.699433 train-auc:0.721945
[82] eval-auc:0.700298 train-auc:0.722469
[83] eval-auc:0.699617 train-auc:0.722065
[84] eval-auc:0.700118 train-auc:0.723074
[85] eval-auc:0.700601 train-auc:0.723859
[86] eval-auc:0.701036 train-auc:0.72429
[87] eval-auc:0.701913 train-auc:0.724939
[88] eval-auc:0.701283 train-auc:0.724739
[89] eval-auc:0.701342 train-auc:0.724616
[90] eval-auc:0.701205 train-auc:0.7244
[91] eval-auc:0.701384 train-auc:0.724005
[92] eval-auc:0.700853 train-auc:0.723733
[93] eval-auc:0.701208 train-auc:0.724519
[94] eval-auc:0.700391 train-auc:0.724304
[95] eval-auc:0.700032 train-auc:0.72393
[96] eval-auc:0.700262 train-auc:0.724313
[97] eval-auc:0.699892 train-auc:0.725007
[98] eval-auc:0.700203 train-auc:0.72513
[99] eval-auc:0.700345 train-auc:0.725356
[100] eval-auc:0.700614 train-auc:0.725627
[101] eval-auc:0.700917 train-auc:0.726055
[102] eval-auc:0.701365 train-auc:0.726125
[103] eval-auc:0.702041 train-auc:0.726736
[104] eval-auc:0.702657 train-auc:0.727386
[105] eval-auc:0.702977 train-auc:0.727492
[106] eval-auc:0.703097 train-auc:0.727473
[107] eval-auc:0.70344 train-auc:0.727471
[108] eval-auc:0.703612 train-auc:0.727291
[109] eval-auc:0.703761 train-auc:0.727737
[110] eval-auc:0.703421 train-auc:0.727315
[111] eval-auc:0.703522 train-auc:0.727327
[112] eval-auc:0.703338 train-auc:0.727584
[113] eval-auc:0.703405 train-auc:0.72774
[114] eval-auc:0.703021 train-auc:0.727633
[115] eval-auc:0.703125 train-auc:0.727294
[116] eval-auc:0.703176 train-auc:0.72745
[117] eval-auc:0.703109 train-auc:0.727581
[118] eval-auc:0.703455 train-auc:0.728053
[119] eval-auc:0.703553 train-auc:0.728343
[120] eval-auc:0.703502 train-auc:0.728172
[121] eval-auc:0.703908 train-auc:0.728532
[122] eval-auc:0.704385 train-auc:0.7288
[123] eval-auc:0.704003 train-auc:0.729089
[124] eval-auc:0.7037 train-auc:0.729015
[125] eval-auc:0.703742 train-auc:0.729116
[126] eval-auc:0.703776 train-auc:0.729391
[127] eval-auc:0.704105 train-auc:0.729655
[128] eval-auc:0.704207 train-auc:0.729934
[129] eval-auc:0.703763 train-auc:0.730018
[130] eval-auc:0.703757 train-auc:0.730267
[131] eval-auc:0.703621 train-auc:0.730398
[132] eval-auc:0.703493 train-auc:0.730336
[133] eval-auc:0.7037 train-auc:0.7305
[134] eval-auc:0.703868 train-auc:0.730788
[135] eval-auc:0.703853 train-auc:0.731169
[136] eval-auc:0.703856 train-auc:0.73122
Score 0.7038557236657773
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 1.0, 'eta': 0.1, 'eval_metric': 'auc', 'gamma': 0.9, 'max_depth': 8, 'min_child_weight': 1.0, 'n_estimators': 172.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.65, 'tree_method': 'exact'}
[0] eval-auc:0.687523 train-auc:0.800496
[1] eval-auc:0.694919 train-auc:0.835832
[2] eval-auc:0.704141 train-auc:0.856333
[3] eval-auc:0.699974 train-auc:0.866395
[4] eval-auc:0.695489 train-auc:0.8857
[5] eval-auc:0.698267 train-auc:0.895523
[6] eval-auc:0.695911 train-auc:0.899933
[7] eval-auc:0.696878 train-auc:0.904857
[8] eval-auc:0.698891 train-auc:0.913785
[9] eval-auc:0.69781 train-auc:0.922767
[10] eval-auc:0.6929 train-auc:0.928568
[11] eval-auc:0.689538 train-auc:0.933487
[12] eval-auc:0.691751 train-auc:0.938749
[13] eval-auc:0.690536 train-auc:0.940961
[14] eval-auc:0.692387 train-auc:0.948538
[15] eval-auc:0.695326 train-auc:0.949987
[16] eval-auc:0.694696 train-auc:0.95294
[17] eval-auc:0.695248 train-auc:0.956008
[18] eval-auc:0.696097 train-auc:0.958915
[19] eval-auc:0.697051 train-auc:0.961093
[20] eval-auc:0.697007 train-auc:0.963017
[21] eval-auc:0.698397 train-auc:0.966203
[22] eval-auc:0.699859 train-auc:0.968714
[23] eval-auc:0.699963 train-auc:0.970122
[24] eval-auc:0.701565 train-auc:0.974054
[25] eval-auc:0.701546 train-auc:0.975267
[26] eval-auc:0.700682 train-auc:0.976034
[27] eval-auc:0.699138 train-auc:0.977675
[28] eval-auc:0.69969 train-auc:0.979518
[29] eval-auc:0.698385 train-auc:0.980927
[30] eval-auc:0.697641 train-auc:0.982151
[31] eval-auc:0.698196 train-auc:0.983056
[32] eval-auc:0.69876 train-auc:0.984336
[33] eval-auc:0.696948 train-auc:0.98552
[34] eval-auc:0.695384 train-auc:0.986976
[35] eval-auc:0.696247 train-auc:0.987937
[36] eval-auc:0.697315 train-auc:0.987899
[37] eval-auc:0.697068 train-auc:0.988564
[38] eval-auc:0.696753 train-auc:0.989205
[39] eval-auc:0.699048 train-auc:0.989931
[40] eval-auc:0.699954 train-auc:0.990509
[41] eval-auc:0.699535 train-auc:0.99099
[42] eval-auc:0.700441 train-auc:0.991648
[43] eval-auc:0.699693 train-auc:0.992013
[44] eval-auc:0.699663 train-auc:0.992534
[45] eval-auc:0.699451 train-auc:0.992772
[46] eval-auc:0.700372 train-auc:0.993452
[47] eval-auc:0.700522 train-auc:0.993701
[48] eval-auc:0.701874 train-auc:0.994062
[49] eval-auc:0.700088 train-auc:0.994654
[50] eval-auc:0.699808 train-auc:0.995249
[51] eval-auc:0.698865 train-auc:0.995789
[52] eval-auc:0.698356 train-auc:0.99594
[53] eval-auc:0.699066 train-auc:0.99639
[54] eval-auc:0.698691 train-auc:0.996758
[55] eval-auc:0.69846 train-auc:0.99696
[56] eval-auc:0.697834 train-auc:0.997057
[57] eval-auc:0.698521 train-auc:0.997124
[58] eval-auc:0.699567 train-auc:0.997307
[59] eval-auc:0.697921 train-auc:0.997499
[60] eval-auc:0.697918 train-auc:0.997761
[61] eval-auc:0.698139 train-auc:0.997853
[62] eval-auc:0.697941 train-auc:0.997979
[63] eval-auc:0.697877 train-auc:0.998011
[64] eval-auc:0.696232 train-auc:0.998038
[65] eval-auc:0.695749 train-auc:0.998157
[66] eval-auc:0.695958 train-auc:0.998254
[67] eval-auc:0.695105 train-auc:0.998261
[68] eval-auc:0.69595 train-auc:0.998279
[69] eval-auc:0.696069 train-auc:0.998401
[70] eval-auc:0.696662 train-auc:0.998449
[71] eval-auc:0.696529 train-auc:0.998533
[72] eval-auc:0.697545 train-auc:0.998644
[73] eval-auc:0.695795 train-auc:0.998773
[74] eval-auc:0.69737 train-auc:0.998847
[75] eval-auc:0.69728 train-auc:0.998921
[76] eval-auc:0.697204 train-auc:0.998972
[77] eval-auc:0.698595 train-auc:0.999057
[78] eval-auc:0.698516 train-auc:0.999082
[79] eval-auc:0.699447 train-auc:0.999187
[80] eval-auc:0.69992 train-auc:0.999231
[81] eval-auc:0.700028 train-auc:0.999308
[82] eval-auc:0.699996 train-auc:0.999333
[83] eval-auc:0.699739 train-auc:0.999338
[84] eval-auc:0.699693 train-auc:0.999391
[85] eval-auc:0.699853 train-auc:0.999427
[86] eval-auc:0.699305 train-auc:0.999477
[87] eval-auc:0.698108 train-auc:0.999536
[88] eval-auc:0.6979 train-auc:0.999614
[89] eval-auc:0.697737 train-auc:0.999615
[90] eval-auc:0.697989 train-auc:0.999651
[91] eval-auc:0.697802 train-auc:0.999636
[92] eval-auc:0.696304 train-auc:0.999705
[93] eval-auc:0.695719 train-auc:0.999713
[94] eval-auc:0.696055 train-auc:0.999701
[95] eval-auc:0.696429 train-auc:0.999736
[96] eval-auc:0.6962 train-auc:0.999761
[97] eval-auc:0.695334 train-auc:0.999801
[98] eval-auc:0.694604 train-auc:0.999819
[99] eval-auc:0.696017 train-auc:0.999833
[100] eval-auc:0.696599 train-auc:0.999832
[101] eval-auc:0.696349 train-auc:0.999841
[102] eval-auc:0.696042 train-auc:0.999858
[103] eval-auc:0.6958 train-auc:0.999879
[104] eval-auc:0.695897 train-auc:0.999896
[105] eval-auc:0.696494 train-auc:0.999899
[106] eval-auc:0.694821 train-auc:0.999897
[107] eval-auc:0.694355 train-auc:0.999923
[108] eval-auc:0.693939 train-auc:0.999917
[109] eval-auc:0.693902 train-auc:0.999926
[110] eval-auc:0.69484 train-auc:0.999928
[111] eval-auc:0.693828 train-auc:0.999933
[112] eval-auc:0.693875 train-auc:0.999939
[113] eval-auc:0.693945 train-auc:0.999944
[114] eval-auc:0.694036 train-auc:0.999961
[115] eval-auc:0.694315 train-auc:0.999964
[116] eval-auc:0.693883 train-auc:0.999965
[117] eval-auc:0.69463 train-auc:0.999966
[118] eval-auc:0.694511 train-auc:0.999973
[119] eval-auc:0.695131 train-auc:0.999975
[120] eval-auc:0.694929 train-auc:0.999978
[121] eval-auc:0.695174 train-auc:0.999978
[122] eval-auc:0.696066 train-auc:0.999982
[123] eval-auc:0.697073 train-auc:0.999986
[124] eval-auc:0.697022 train-auc:0.999986
[125] eval-auc:0.697855 train-auc:0.99999
[126] eval-auc:0.696884 train-auc:0.999991
[127] eval-auc:0.696016 train-auc:0.999993
[128] eval-auc:0.696983 train-auc:0.999994
[129] eval-auc:0.697408 train-auc:0.999994
[130] eval-auc:0.698171 train-auc:0.999995
[131] eval-auc:0.698828 train-auc:0.999996
[132] eval-auc:0.698274 train-auc:0.999996
[133] eval-auc:0.69863 train-auc:0.999998
[134] eval-auc:0.698032 train-auc:0.999998
[135] eval-auc:0.697435 train-auc:0.999998
[136] eval-auc:0.697293 train-auc:0.999998
[137] eval-auc:0.696677 train-auc:0.999998
[138] eval-auc:0.696735 train-auc:1
[139] eval-auc:0.697173 train-auc:0.999999
[140] eval-auc:0.69689 train-auc:0.999999
[141] eval-auc:0.69699 train-auc:1
[142] eval-auc:0.696278 train-auc:1
[143] eval-auc:0.696272 train-auc:0.999999
[144] eval-auc:0.696619 train-auc:0.999999
[145] eval-auc:0.697307 train-auc:0.999999
[146] eval-auc:0.697496 train-auc:1
[147] eval-auc:0.697731 train-auc:1
[148] eval-auc:0.69749 train-auc:1
[149] eval-auc:0.698044 train-auc:1
[150] eval-auc:0.697971 train-auc:1
[151] eval-auc:0.697695 train-auc:1
[152] eval-auc:0.698062 train-auc:1
[153] eval-auc:0.697784 train-auc:1
[154] eval-auc:0.698102 train-auc:1
[155] eval-auc:0.698353 train-auc:1
[156] eval-auc:0.697896 train-auc:1
[157] eval-auc:0.698309 train-auc:1
[158] eval-auc:0.697563 train-auc:1
[159] eval-auc:0.69677 train-auc:1
[160] eval-auc:0.696946 train-auc:1
[161] eval-auc:0.697044 train-auc:1
[162] eval-auc:0.697143 train-auc:1
[163] eval-auc:0.696958 train-auc:1
[164] eval-auc:0.696534 train-auc:1
[165] eval-auc:0.697188 train-auc:1
[166] eval-auc:0.697411 train-auc:1
[167] eval-auc:0.697692 train-auc:1
[168] eval-auc:0.698233 train-auc:1
[169] eval-auc:0.698391 train-auc:1
[170] eval-auc:0.698035 train-auc:1
[171] eval-auc:0.698072 train-auc:1
Score 0.6980716052089806
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9, 'eta': 0.125, 'eval_metric': 'auc', 'gamma': 0.8500000000000001, 'max_depth': 9, 'min_child_weight': 2.0, 'n_estimators': 385.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.704118 train-auc:0.830302
[1] eval-auc:0.67804 train-auc:0.885649
[2] eval-auc:0.694263 train-auc:0.921788
[3] eval-auc:0.694596 train-auc:0.942995
[4] eval-auc:0.693921 train-auc:0.952931
[5] eval-auc:0.690637 train-auc:0.967325
[6] eval-auc:0.69051 train-auc:0.971435
[7] eval-auc:0.69806 train-auc:0.975202
[8] eval-auc:0.696666 train-auc:0.978311
[9] eval-auc:0.696784 train-auc:0.982856
[10] eval-auc:0.696403 train-auc:0.988864
[11] eval-auc:0.698187 train-auc:0.990675
[12] eval-auc:0.696265 train-auc:0.992038
[13] eval-auc:0.69605 train-auc:0.993809
[14] eval-auc:0.693599 train-auc:0.994048
[15] eval-auc:0.695398 train-auc:0.994772
[16] eval-auc:0.694648 train-auc:0.995473
[17] eval-auc:0.695258 train-auc:0.996393
[18] eval-auc:0.692755 train-auc:0.996451
[19] eval-auc:0.695715 train-auc:0.996988
[20] eval-auc:0.694728 train-auc:0.997423
[21] eval-auc:0.696404 train-auc:0.997733
[22] eval-auc:0.696541 train-auc:0.997869
[23] eval-auc:0.697925 train-auc:0.998176
[24] eval-auc:0.699071 train-auc:0.998564
[25] eval-auc:0.701023 train-auc:0.9988
[26] eval-auc:0.70102 train-auc:0.99899
[27] eval-auc:0.702996 train-auc:0.999169
[28] eval-auc:0.702236 train-auc:0.999264
[29] eval-auc:0.704656 train-auc:0.999438
[30] eval-auc:0.705895 train-auc:0.999524
[31] eval-auc:0.706792 train-auc:0.999555
[32] eval-auc:0.704386 train-auc:0.999633
[33] eval-auc:0.703901 train-auc:0.999724
[34] eval-auc:0.70348 train-auc:0.999771
[35] eval-auc:0.702752 train-auc:0.99979
[36] eval-auc:0.702702 train-auc:0.999807
[37] eval-auc:0.70295 train-auc:0.999813
[38] eval-auc:0.702102 train-auc:0.999828
[39] eval-auc:0.701362 train-auc:0.99988
[40] eval-auc:0.701776 train-auc:0.99987
[41] eval-auc:0.701807 train-auc:0.999892
[42] eval-auc:0.702358 train-auc:0.999929
[43] eval-auc:0.703789 train-auc:0.999927
[44] eval-auc:0.702535 train-auc:0.999928
[45] eval-auc:0.703327 train-auc:0.999932
[46] eval-auc:0.701941 train-auc:0.99995
[47] eval-auc:0.702086 train-auc:0.999953
[48] eval-auc:0.701851 train-auc:0.99996
[49] eval-auc:0.702247 train-auc:0.999959
[50] eval-auc:0.701553 train-auc:0.999967
[51] eval-auc:0.701262 train-auc:0.999972
[52] eval-auc:0.701123 train-auc:0.999972
[53] eval-auc:0.700809 train-auc:0.99997
[54] eval-auc:0.701215 train-auc:0.999972
[55] eval-auc:0.701036 train-auc:0.999974
[56] eval-auc:0.701198 train-auc:0.999977
[57] eval-auc:0.701186 train-auc:0.999978
[58] eval-auc:0.700823 train-auc:0.999979
[59] eval-auc:0.700741 train-auc:0.999979
[60] eval-auc:0.700831 train-auc:0.999983
[61] eval-auc:0.700953 train-auc:0.999984
[62] eval-auc:0.700671 train-auc:0.999985
[63] eval-auc:0.699999 train-auc:0.999992
[64] eval-auc:0.699716 train-auc:0.999991
[65] eval-auc:0.699794 train-auc:0.999992
[66] eval-auc:0.69989 train-auc:0.999991
[67] eval-auc:0.699183 train-auc:0.99999
[68] eval-auc:0.69869 train-auc:0.999991
[69] eval-auc:0.69885 train-auc:0.999995
[70] eval-auc:0.699313 train-auc:0.999995
[71] eval-auc:0.699407 train-auc:0.999996
[72] eval-auc:0.699322 train-auc:0.999996
[73] eval-auc:0.699237 train-auc:0.999999
[74] eval-auc:0.69892 train-auc:0.999999
[75] eval-auc:0.698906 train-auc:0.999999
[76] eval-auc:0.699629 train-auc:0.999999
[77] eval-auc:0.699696 train-auc:0.999999
[78] eval-auc:0.699512 train-auc:0.999999
[79] eval-auc:0.700304 train-auc:0.999999
[80] eval-auc:0.699902 train-auc:0.999999
[81] eval-auc:0.69962 train-auc:0.999999
[82] eval-auc:0.699684 train-auc:1
[83] eval-auc:0.699926 train-auc:1
[84] eval-auc:0.700146 train-auc:1
[85] eval-auc:0.700564 train-auc:1
[86] eval-auc:0.701077 train-auc:1
[87] eval-auc:0.700242 train-auc:1
[88] eval-auc:0.701004 train-auc:1
[89] eval-auc:0.700532 train-auc:1
[90] eval-auc:0.70079 train-auc:1
[91] eval-auc:0.701374 train-auc:1
[92] eval-auc:0.702022 train-auc:1
[93] eval-auc:0.701594 train-auc:1
[94] eval-auc:0.702527 train-auc:1
[95] eval-auc:0.702535 train-auc:1
[96] eval-auc:0.702542 train-auc:1
[97] eval-auc:0.702435 train-auc:1
[98] eval-auc:0.702246 train-auc:1
[99] eval-auc:0.702235 train-auc:1
[100] eval-auc:0.702107 train-auc:1
[101] eval-auc:0.702124 train-auc:1
[102] eval-auc:0.702212 train-auc:1
[103] eval-auc:0.702331 train-auc:1
[104] eval-auc:0.702229 train-auc:1
[105] eval-auc:0.702133 train-auc:1
[106] eval-auc:0.703016 train-auc:1
[107] eval-auc:0.702421 train-auc:1
[108] eval-auc:0.701408 train-auc:1
[109] eval-auc:0.701294 train-auc:1
[110] eval-auc:0.701429 train-auc:1
[111] eval-auc:0.701857 train-auc:1
[112] eval-auc:0.702139 train-auc:1
[113] eval-auc:0.702104 train-auc:1
[114] eval-auc:0.70222 train-auc:1
[115] eval-auc:0.702111 train-auc:1
[116] eval-auc:0.70214 train-auc:1
[117] eval-auc:0.701971 train-auc:1
[118] eval-auc:0.702223 train-auc:1
[119] eval-auc:0.701531 train-auc:1
[120] eval-auc:0.701516 train-auc:1
[121] eval-auc:0.701792 train-auc:1
[122] eval-auc:0.701597 train-auc:1
[123] eval-auc:0.701393 train-auc:1
[124] eval-auc:0.701253 train-auc:1
[125] eval-auc:0.7013 train-auc:1
[126] eval-auc:0.70119 train-auc:1
[127] eval-auc:0.701116 train-auc:1
[128] eval-auc:0.70131 train-auc:1
[129] eval-auc:0.701157 train-auc:1
[130] eval-auc:0.701431 train-auc:1
[131] eval-auc:0.701568 train-auc:1
[132] eval-auc:0.700831 train-auc:1
[133] eval-auc:0.700915 train-auc:1
[134] eval-auc:0.701521 train-auc:1
[135] eval-auc:0.701145 train-auc:1
[136] eval-auc:0.701364 train-auc:1
[137] eval-auc:0.70144 train-auc:1
[138] eval-auc:0.701796 train-auc:1
[139] eval-auc:0.70168 train-auc:1
[140] eval-auc:0.702306 train-auc:1
[141] eval-auc:0.702183 train-auc:1
[142] eval-auc:0.702332 train-auc:1
[143] eval-auc:0.702255 train-auc:1
[144] eval-auc:0.702148 train-auc:1
[145] eval-auc:0.702357 train-auc:1
[146] eval-auc:0.702319 train-auc:1
[147] eval-auc:0.702191 train-auc:1
[148] eval-auc:0.702006 train-auc:1
[149] eval-auc:0.702089 train-auc:1
[150] eval-auc:0.702655 train-auc:1
[151] eval-auc:0.702722 train-auc:1
[152] eval-auc:0.702777 train-auc:1
[153] eval-auc:0.702867 train-auc:1
[154] eval-auc:0.702827 train-auc:1
[155] eval-auc:0.703002 train-auc:1
[156] eval-auc:0.703135 train-auc:1
[157] eval-auc:0.70283 train-auc:1
[158] eval-auc:0.702433 train-auc:1
[159] eval-auc:0.702637 train-auc:1
[160] eval-auc:0.702277 train-auc:1
[161] eval-auc:0.702047 train-auc:1
[162] eval-auc:0.702707 train-auc:1
[163] eval-auc:0.702798 train-auc:1
[164] eval-auc:0.703091 train-auc:1
[165] eval-auc:0.703237 train-auc:1
[166] eval-auc:0.703433 train-auc:1
[167] eval-auc:0.703196 train-auc:1
[168] eval-auc:0.702998 train-auc:1
[169] eval-auc:0.703049 train-auc:1
[170] eval-auc:0.703027 train-auc:1
[171] eval-auc:0.702664 train-auc:1
[172] eval-auc:0.70315 train-auc:1
[173] eval-auc:0.703095 train-auc:1
[174] eval-auc:0.702992 train-auc:1
[175] eval-auc:0.70283 train-auc:1
[176] eval-auc:0.702865 train-auc:1
[177] eval-auc:0.703308 train-auc:1
[178] eval-auc:0.703281 train-auc:1
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[180] eval-auc:0.703651 train-auc:1
[181] eval-auc:0.703852 train-auc:1
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[183] eval-auc:0.704254 train-auc:1
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[210] eval-auc:0.703782 train-auc:1
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[225] eval-auc:0.703782 train-auc:1
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[232] eval-auc:0.703237 train-auc:1
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[266] eval-auc:0.70244 train-auc:1
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[268] eval-auc:0.702209 train-auc:1
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[270] eval-auc:0.702273 train-auc:1
[271] eval-auc:0.702273 train-auc:1
[272] eval-auc:0.702166 train-auc:1
[273] eval-auc:0.702166 train-auc:1
[274] eval-auc:0.702453 train-auc:1
[275] eval-auc:0.702425 train-auc:1
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[277] eval-auc:0.702501 train-auc:1
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[280] eval-auc:0.702297 train-auc:1
[281] eval-auc:0.70223 train-auc:1
[282] eval-auc:0.70223 train-auc:1
[283] eval-auc:0.702326 train-auc:1
[284] eval-auc:0.702284 train-auc:1
[285] eval-auc:0.702312 train-auc:1
[286] eval-auc:0.702515 train-auc:1
[287] eval-auc:0.702314 train-auc:1
[288] eval-auc:0.702251 train-auc:1
[289] eval-auc:0.702108 train-auc:1
[290] eval-auc:0.702108 train-auc:1
[291] eval-auc:0.702378 train-auc:1
[292] eval-auc:0.70229 train-auc:1
[293] eval-auc:0.702245 train-auc:1
[294] eval-auc:0.702245 train-auc:1
[295] eval-auc:0.702393 train-auc:1
[296] eval-auc:0.702481 train-auc:1
[297] eval-auc:0.702481 train-auc:1
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[299] eval-auc:0.702364 train-auc:1
[300] eval-auc:0.702375 train-auc:1
[301] eval-auc:0.702428 train-auc:1
[302] eval-auc:0.702695 train-auc:1
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[304] eval-auc:0.70285 train-auc:1
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[306] eval-auc:0.70285 train-auc:1
[307] eval-auc:0.702689 train-auc:1
[308] eval-auc:0.702667 train-auc:1
[309] eval-auc:0.702061 train-auc:1
[310] eval-auc:0.702061 train-auc:1
[311] eval-auc:0.702195 train-auc:1
[312] eval-auc:0.702201 train-auc:1
[313] eval-auc:0.702201 train-auc:1
[314] eval-auc:0.702201 train-auc:1
[315] eval-auc:0.702265 train-auc:1
[316] eval-auc:0.702224 train-auc:1
[317] eval-auc:0.702312 train-auc:1
[318] eval-auc:0.702291 train-auc:1
[319] eval-auc:0.702398 train-auc:1
[320] eval-auc:0.702553 train-auc:1
[321] eval-auc:0.702457 train-auc:1
[322] eval-auc:0.702708 train-auc:1
[323] eval-auc:0.702724 train-auc:1
[324] eval-auc:0.702678 train-auc:1
[325] eval-auc:0.702678 train-auc:1
[326] eval-auc:0.702809 train-auc:1
[327] eval-auc:0.702824 train-auc:1
[328] eval-auc:0.702742 train-auc:1
[329] eval-auc:0.702742 train-auc:1
[330] eval-auc:0.702684 train-auc:1
[331] eval-auc:0.702749 train-auc:1
[332] eval-auc:0.7026 train-auc:1
[333] eval-auc:0.702555 train-auc:1
[334] eval-auc:0.702555 train-auc:1
[335] eval-auc:0.702612 train-auc:1
[336] eval-auc:0.702647 train-auc:1
[337] eval-auc:0.702443 train-auc:1
[338] eval-auc:0.702443 train-auc:1
[339] eval-auc:0.702431 train-auc:1
[340] eval-auc:0.702431 train-auc:1
[341] eval-auc:0.702431 train-auc:1
[342] eval-auc:0.70229 train-auc:1
[343] eval-auc:0.702276 train-auc:1
[344] eval-auc:0.702325 train-auc:1
[345] eval-auc:0.70215 train-auc:1
[346] eval-auc:0.702407 train-auc:1
[347] eval-auc:0.702494 train-auc:1
[348] eval-auc:0.702494 train-auc:1
[349] eval-auc:0.702489 train-auc:1
[350] eval-auc:0.702533 train-auc:1
[351] eval-auc:0.702533 train-auc:1
[352] eval-auc:0.702533 train-auc:1
[353] eval-auc:0.702696 train-auc:1
[354] eval-auc:0.702573 train-auc:1
[355] eval-auc:0.70267 train-auc:1
[356] eval-auc:0.702795 train-auc:1
[357] eval-auc:0.702807 train-auc:1
[358] eval-auc:0.702807 train-auc:1
[359] eval-auc:0.702823 train-auc:1
[360] eval-auc:0.702941 train-auc:1
[361] eval-auc:0.70281 train-auc:1
[362] eval-auc:0.702797 train-auc:1
[363] eval-auc:0.702654 train-auc:1
[364] eval-auc:0.702669 train-auc:1
[365] eval-auc:0.702719 train-auc:1
[366] eval-auc:0.7029 train-auc:1
[367] eval-auc:0.703004 train-auc:1
[368] eval-auc:0.703004 train-auc:1
[369] eval-auc:0.702897 train-auc:1
[370] eval-auc:0.702717 train-auc:1
[371] eval-auc:0.702717 train-auc:1
[372] eval-auc:0.702778 train-auc:1
[373] eval-auc:0.702778 train-auc:1
[374] eval-auc:0.702778 train-auc:1
[375] eval-auc:0.702778 train-auc:1
[376] eval-auc:0.702778 train-auc:1
[377] eval-auc:0.702494 train-auc:1
[378] eval-auc:0.702326 train-auc:1
[379] eval-auc:0.702326 train-auc:1
[380] eval-auc:0.702326 train-auc:1
[381] eval-auc:0.702542 train-auc:1
[382] eval-auc:0.702542 train-auc:1
[383] eval-auc:0.702542 train-auc:1
[384] eval-auc:0.702622 train-auc:1
Score 0.7026215449085749
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9500000000000001, 'eta': 0.17500000000000002, 'eval_metric': 'auc', 'gamma': 1.0, 'max_depth': 2, 'min_child_weight': 1.0, 'n_estimators': 873.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9, 'tree_method': 'exact'}
[0] eval-auc:0.670464 train-auc:0.689717
[1] eval-auc:0.673488 train-auc:0.692109
[2] eval-auc:0.704138 train-auc:0.715755
[3] eval-auc:0.704513 train-auc:0.715774
[4] eval-auc:0.698917 train-auc:0.715664
[5] eval-auc:0.699966 train-auc:0.709273
[6] eval-auc:0.699395 train-auc:0.712697
[7] eval-auc:0.698092 train-auc:0.713545
[8] eval-auc:0.703543 train-auc:0.718736
[9] eval-auc:0.70438 train-auc:0.72022
[10] eval-auc:0.703659 train-auc:0.721692
[11] eval-auc:0.70367 train-auc:0.718906
[12] eval-auc:0.702969 train-auc:0.721595
[13] eval-auc:0.705445 train-auc:0.722119
[14] eval-auc:0.704469 train-auc:0.722264
[15] eval-auc:0.704843 train-auc:0.723161
[16] eval-auc:0.703666 train-auc:0.724365
[17] eval-auc:0.70289 train-auc:0.724652
[18] eval-auc:0.703154 train-auc:0.724637
[19] eval-auc:0.703036 train-auc:0.726497
[20] eval-auc:0.704163 train-auc:0.727076
[21] eval-auc:0.703984 train-auc:0.72778
[22] eval-auc:0.70456 train-auc:0.729164
[23] eval-auc:0.704747 train-auc:0.729564
[24] eval-auc:0.705189 train-auc:0.730455
[25] eval-auc:0.705209 train-auc:0.731244
[26] eval-auc:0.705565 train-auc:0.732395
[27] eval-auc:0.704453 train-auc:0.733343
[28] eval-auc:0.704014 train-auc:0.734167
[29] eval-auc:0.703109 train-auc:0.735911
[30] eval-auc:0.703962 train-auc:0.73664
[31] eval-auc:0.704412 train-auc:0.736914
[32] eval-auc:0.70409 train-auc:0.737574
[33] eval-auc:0.704319 train-auc:0.73814
[34] eval-auc:0.705123 train-auc:0.740285
[35] eval-auc:0.704935 train-auc:0.742144
[36] eval-auc:0.706103 train-auc:0.74419
[37] eval-auc:0.706671 train-auc:0.745277
[38] eval-auc:0.707133 train-auc:0.745699
[39] eval-auc:0.707492 train-auc:0.746485
[40] eval-auc:0.708256 train-auc:0.747946
[41] eval-auc:0.708025 train-auc:0.74816
[42] eval-auc:0.706961 train-auc:0.750361
[43] eval-auc:0.707244 train-auc:0.752545
[44] eval-auc:0.707322 train-auc:0.753292
[45] eval-auc:0.707463 train-auc:0.752768
[46] eval-auc:0.707973 train-auc:0.753816
[47] eval-auc:0.707961 train-auc:0.754607
[48] eval-auc:0.70617 train-auc:0.755639
[49] eval-auc:0.705924 train-auc:0.756684
[50] eval-auc:0.706774 train-auc:0.757473
[51] eval-auc:0.706913 train-auc:0.757925
[52] eval-auc:0.705734 train-auc:0.758922
[53] eval-auc:0.706064 train-auc:0.760283
[54] eval-auc:0.706109 train-auc:0.76059
[55] eval-auc:0.706525 train-auc:0.761617
[56] eval-auc:0.70653 train-auc:0.76216
[57] eval-auc:0.706976 train-auc:0.762434
[58] eval-auc:0.707176 train-auc:0.763602
[59] eval-auc:0.706429 train-auc:0.765094
[60] eval-auc:0.707853 train-auc:0.765582
[61] eval-auc:0.708381 train-auc:0.767049
[62] eval-auc:0.708471 train-auc:0.767516
[63] eval-auc:0.70885 train-auc:0.76857
[64] eval-auc:0.709885 train-auc:0.768753
[65] eval-auc:0.710234 train-auc:0.768646
[66] eval-auc:0.710937 train-auc:0.769374
[67] eval-auc:0.710362 train-auc:0.769706
[68] eval-auc:0.708735 train-auc:0.770845
[69] eval-auc:0.707098 train-auc:0.772174
[70] eval-auc:0.707589 train-auc:0.773512
[71] eval-auc:0.707583 train-auc:0.7743
[72] eval-auc:0.706846 train-auc:0.775347
[73] eval-auc:0.706188 train-auc:0.774925
[74] eval-auc:0.707179 train-auc:0.774217
[75] eval-auc:0.706537 train-auc:0.774729
[76] eval-auc:0.707423 train-auc:0.775541
[77] eval-auc:0.70608 train-auc:0.776209
[78] eval-auc:0.705786 train-auc:0.776976
[79] eval-auc:0.70545 train-auc:0.777858
[80] eval-auc:0.705045 train-auc:0.778374
[81] eval-auc:0.705374 train-auc:0.779154
[82] eval-auc:0.706217 train-auc:0.778755
[83] eval-auc:0.705833 train-auc:0.77883
[84] eval-auc:0.70686 train-auc:0.78038
[85] eval-auc:0.706693 train-auc:0.781519
[86] eval-auc:0.706371 train-auc:0.782344
[87] eval-auc:0.706412 train-auc:0.784387
[88] eval-auc:0.706815 train-auc:0.785031
[89] eval-auc:0.706716 train-auc:0.785296
[90] eval-auc:0.706392 train-auc:0.785626
[91] eval-auc:0.705263 train-auc:0.786544
[92] eval-auc:0.704828 train-auc:0.787123
[93] eval-auc:0.705279 train-auc:0.787659
[94] eval-auc:0.705219 train-auc:0.788164
[95] eval-auc:0.706599 train-auc:0.787767
[96] eval-auc:0.7066 train-auc:0.788384
[97] eval-auc:0.707213 train-auc:0.789485
[98] eval-auc:0.707852 train-auc:0.790044
[99] eval-auc:0.707389 train-auc:0.790802
[100] eval-auc:0.706928 train-auc:0.790715
[101] eval-auc:0.707194 train-auc:0.790631
[102] eval-auc:0.706416 train-auc:0.791486
[103] eval-auc:0.70657 train-auc:0.791862
[104] eval-auc:0.705856 train-auc:0.792148
[105] eval-auc:0.704734 train-auc:0.793107
[106] eval-auc:0.70407 train-auc:0.793516
[107] eval-auc:0.704562 train-auc:0.794962
[108] eval-auc:0.704674 train-auc:0.795402
[109] eval-auc:0.704403 train-auc:0.795756
[110] eval-auc:0.70484 train-auc:0.79694
[111] eval-auc:0.704651 train-auc:0.797714
[112] eval-auc:0.703482 train-auc:0.798736
[113] eval-auc:0.703153 train-auc:0.800015
[114] eval-auc:0.703826 train-auc:0.800534
[115] eval-auc:0.70488 train-auc:0.800838
[116] eval-auc:0.705052 train-auc:0.801933
[117] eval-auc:0.704604 train-auc:0.802773
[118] eval-auc:0.705259 train-auc:0.803927
[119] eval-auc:0.705743 train-auc:0.80498
[120] eval-auc:0.70701 train-auc:0.806142
[121] eval-auc:0.707519 train-auc:0.80647
[122] eval-auc:0.707788 train-auc:0.807011
[123] eval-auc:0.707857 train-auc:0.807476
[124] eval-auc:0.707535 train-auc:0.807923
[125] eval-auc:0.707605 train-auc:0.808589
[126] eval-auc:0.70676 train-auc:0.809249
[127] eval-auc:0.706696 train-auc:0.809608
[128] eval-auc:0.70768 train-auc:0.811024
[129] eval-auc:0.707034 train-auc:0.811363
[130] eval-auc:0.70719 train-auc:0.811901
[131] eval-auc:0.707115 train-auc:0.812953
[132] eval-auc:0.706873 train-auc:0.813875
[133] eval-auc:0.706058 train-auc:0.814503
[134] eval-auc:0.705335 train-auc:0.815074
[135] eval-auc:0.705863 train-auc:0.815825
[136] eval-auc:0.705282 train-auc:0.81617
[137] eval-auc:0.705792 train-auc:0.817194
[138] eval-auc:0.705902 train-auc:0.817343
[139] eval-auc:0.705443 train-auc:0.818904
[140] eval-auc:0.705265 train-auc:0.819278
[141] eval-auc:0.705334 train-auc:0.819508
[142] eval-auc:0.705459 train-auc:0.819911
[143] eval-auc:0.705672 train-auc:0.820347
[144] eval-auc:0.705303 train-auc:0.820702
[145] eval-auc:0.705359 train-auc:0.82134
[146] eval-auc:0.705394 train-auc:0.821501
[147] eval-auc:0.705697 train-auc:0.821835
[148] eval-auc:0.705484 train-auc:0.822041
[149] eval-auc:0.705545 train-auc:0.822165
[150] eval-auc:0.706043 train-auc:0.822212
[151] eval-auc:0.705862 train-auc:0.822743
[152] eval-auc:0.705145 train-auc:0.822957
[153] eval-auc:0.705594 train-auc:0.822104
[154] eval-auc:0.70542 train-auc:0.822372
[155] eval-auc:0.705796 train-auc:0.823421
[156] eval-auc:0.705752 train-auc:0.823796
[157] eval-auc:0.706416 train-auc:0.824178
[158] eval-auc:0.70657 train-auc:0.825028
[159] eval-auc:0.70696 train-auc:0.824541
[160] eval-auc:0.706456 train-auc:0.824847
[161] eval-auc:0.70675 train-auc:0.825809
[162] eval-auc:0.707129 train-auc:0.826099
[163] eval-auc:0.706007 train-auc:0.826274
[164] eval-auc:0.707246 train-auc:0.82737
[165] eval-auc:0.705705 train-auc:0.827631
[166] eval-auc:0.706007 train-auc:0.82714
[167] eval-auc:0.706046 train-auc:0.827913
[168] eval-auc:0.706307 train-auc:0.82796
[169] eval-auc:0.706625 train-auc:0.82769
[170] eval-auc:0.705833 train-auc:0.828556
[171] eval-auc:0.705839 train-auc:0.828951
[172] eval-auc:0.705605 train-auc:0.829287
[173] eval-auc:0.705635 train-auc:0.829899
[174] eval-auc:0.705751 train-auc:0.830227
[175] eval-auc:0.705786 train-auc:0.830994
[176] eval-auc:0.705509 train-auc:0.831281
[177] eval-auc:0.706476 train-auc:0.831818
[178] eval-auc:0.706032 train-auc:0.832228
[179] eval-auc:0.70542 train-auc:0.832698
[180] eval-auc:0.705195 train-auc:0.833311
[181] eval-auc:0.704932 train-auc:0.834339
[182] eval-auc:0.705146 train-auc:0.835102
[183] eval-auc:0.705562 train-auc:0.835853
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[681] eval-auc:0.698405 train-auc:0.926134
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[683] eval-auc:0.698759 train-auc:0.925958
[684] eval-auc:0.698705 train-auc:0.926194
[685] eval-auc:0.699153 train-auc:0.926321
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[688] eval-auc:0.698987 train-auc:0.926254
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[690] eval-auc:0.6985 train-auc:0.926746
[691] eval-auc:0.698646 train-auc:0.926798
[692] eval-auc:0.699192 train-auc:0.926659
[693] eval-auc:0.699055 train-auc:0.926814
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[698] eval-auc:0.698815 train-auc:0.927157
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[700] eval-auc:0.698689 train-auc:0.927331
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[707] eval-auc:0.698822 train-auc:0.927531
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[709] eval-auc:0.699179 train-auc:0.927745
[710] eval-auc:0.698758 train-auc:0.928017
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[718] eval-auc:0.697505 train-auc:0.928871
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[730] eval-auc:0.695728 train-auc:0.92984
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[778] eval-auc:0.694106 train-auc:0.933948
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[780] eval-auc:0.694192 train-auc:0.934319
[781] eval-auc:0.693732 train-auc:0.934245
[782] eval-auc:0.693508 train-auc:0.934267
[783] eval-auc:0.693135 train-auc:0.934286
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[787] eval-auc:0.693899 train-auc:0.934589
[788] eval-auc:0.693791 train-auc:0.934732
[789] eval-auc:0.693721 train-auc:0.934745
[790] eval-auc:0.69398 train-auc:0.935011
[791] eval-auc:0.693879 train-auc:0.935127
[792] eval-auc:0.694143 train-auc:0.935424
[793] eval-auc:0.694138 train-auc:0.935435
[794] eval-auc:0.694016 train-auc:0.935486
[795] eval-auc:0.694259 train-auc:0.935578
[796] eval-auc:0.693922 train-auc:0.935595
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[798] eval-auc:0.693985 train-auc:0.935899
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[800] eval-auc:0.69403 train-auc:0.935933
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[813] eval-auc:0.694173 train-auc:0.936931
[814] eval-auc:0.694192 train-auc:0.937204
[815] eval-auc:0.694222 train-auc:0.937304
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[818] eval-auc:0.694426 train-auc:0.937196
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[820] eval-auc:0.693924 train-auc:0.937249
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[822] eval-auc:0.694181 train-auc:0.937412
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[825] eval-auc:0.69402 train-auc:0.937636
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[827] eval-auc:0.693589 train-auc:0.937711
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[829] eval-auc:0.694178 train-auc:0.93747
[830] eval-auc:0.694131 train-auc:0.937612
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[833] eval-auc:0.693604 train-auc:0.937933
[834] eval-auc:0.693729 train-auc:0.937931
[835] eval-auc:0.693948 train-auc:0.938053
[836] eval-auc:0.693558 train-auc:0.938015
[837] eval-auc:0.693675 train-auc:0.93814
[838] eval-auc:0.693356 train-auc:0.93816
[839] eval-auc:0.693534 train-auc:0.938212
[840] eval-auc:0.693529 train-auc:0.938343
[841] eval-auc:0.693671 train-auc:0.938324
[842] eval-auc:0.693678 train-auc:0.938547
[843] eval-auc:0.69357 train-auc:0.93858
[844] eval-auc:0.693161 train-auc:0.93863
[845] eval-auc:0.693059 train-auc:0.93874
[846] eval-auc:0.69305 train-auc:0.938809
[847] eval-auc:0.693144 train-auc:0.938879
[848] eval-auc:0.692885 train-auc:0.93915
[849] eval-auc:0.692637 train-auc:0.939226
[850] eval-auc:0.692434 train-auc:0.939315
[851] eval-auc:0.692204 train-auc:0.939399
[852] eval-auc:0.692407 train-auc:0.939324
[853] eval-auc:0.69299 train-auc:0.939366
[854] eval-auc:0.69321 train-auc:0.939312
[855] eval-auc:0.69296 train-auc:0.939408
[856] eval-auc:0.693368 train-auc:0.939541
[857] eval-auc:0.69334 train-auc:0.939555
[858] eval-auc:0.693273 train-auc:0.939629
[859] eval-auc:0.693185 train-auc:0.939768
[860] eval-auc:0.693322 train-auc:0.939853
[861] eval-auc:0.693208 train-auc:0.940043
[862] eval-auc:0.693298 train-auc:0.940203
[863] eval-auc:0.693021 train-auc:0.940284
[864] eval-auc:0.693112 train-auc:0.940349
[865] eval-auc:0.693202 train-auc:0.940413
[866] eval-auc:0.693089 train-auc:0.940433
[867] eval-auc:0.693415 train-auc:0.940306
[868] eval-auc:0.693474 train-auc:0.940327
[869] eval-auc:0.693423 train-auc:0.940431
[870] eval-auc:0.693546 train-auc:0.940571
[871] eval-auc:0.693541 train-auc:0.940692
[872] eval-auc:0.693241 train-auc:0.940784
Score 0.6932414818063323
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 1.0, 'eta': 0.025, 'eval_metric': 'auc', 'gamma': 0.9500000000000001, 'max_depth': 7, 'min_child_weight': 2.0, 'n_estimators': 206.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.5, 'tree_method': 'exact'}
[0] eval-auc:0.7041 train-auc:0.77133
[1] eval-auc:0.700726 train-auc:0.79098
[2] eval-auc:0.705941 train-auc:0.804086
[3] eval-auc:0.701927 train-auc:0.82188
[4] eval-auc:0.702737 train-auc:0.83201
[5] eval-auc:0.708902 train-auc:0.838238
[6] eval-auc:0.712583 train-auc:0.849006
[7] eval-auc:0.712327 train-auc:0.852857
[8] eval-auc:0.711831 train-auc:0.853898
[9] eval-auc:0.710498 train-auc:0.857282
[10] eval-auc:0.710674 train-auc:0.859173
[11] eval-auc:0.710038 train-auc:0.861096
[12] eval-auc:0.710078 train-auc:0.865393
[13] eval-auc:0.708825 train-auc:0.868991
[14] eval-auc:0.708733 train-auc:0.871615
[15] eval-auc:0.711614 train-auc:0.873533
[16] eval-auc:0.711532 train-auc:0.879225
[17] eval-auc:0.710223 train-auc:0.883229
[18] eval-auc:0.70932 train-auc:0.885453
[19] eval-auc:0.707663 train-auc:0.886822
[20] eval-auc:0.708059 train-auc:0.889539
[21] eval-auc:0.707679 train-auc:0.892433
[22] eval-auc:0.708119 train-auc:0.893705
[23] eval-auc:0.708008 train-auc:0.893321
[24] eval-auc:0.708735 train-auc:0.893616
[25] eval-auc:0.708833 train-auc:0.896212
[26] eval-auc:0.706141 train-auc:0.897499
[27] eval-auc:0.706147 train-auc:0.898597
[28] eval-auc:0.705486 train-auc:0.900409
[29] eval-auc:0.706267 train-auc:0.90268
[30] eval-auc:0.707679 train-auc:0.905582
[31] eval-auc:0.705568 train-auc:0.906634
[32] eval-auc:0.704402 train-auc:0.90674
[33] eval-auc:0.70396 train-auc:0.906405
[34] eval-auc:0.70446 train-auc:0.908855
[35] eval-auc:0.704621 train-auc:0.908003
[36] eval-auc:0.705088 train-auc:0.90882
[37] eval-auc:0.706153 train-auc:0.909533
[38] eval-auc:0.704737 train-auc:0.911064
[39] eval-auc:0.70407 train-auc:0.913129
[40] eval-auc:0.702835 train-auc:0.914726
[41] eval-auc:0.702605 train-auc:0.91622
[42] eval-auc:0.701754 train-auc:0.91839
[43] eval-auc:0.701778 train-auc:0.918594
[44] eval-auc:0.70288 train-auc:0.919135
[45] eval-auc:0.703202 train-auc:0.920897
[46] eval-auc:0.70421 train-auc:0.922736
[47] eval-auc:0.704513 train-auc:0.923469
[48] eval-auc:0.706577 train-auc:0.924512
[49] eval-auc:0.707654 train-auc:0.924878
[50] eval-auc:0.707909 train-auc:0.925263
[51] eval-auc:0.708388 train-auc:0.925234
[52] eval-auc:0.708484 train-auc:0.925488
[53] eval-auc:0.708641 train-auc:0.926078
[54] eval-auc:0.708836 train-auc:0.926666
[55] eval-auc:0.70899 train-auc:0.92716
[56] eval-auc:0.709369 train-auc:0.927516
[57] eval-auc:0.709832 train-auc:0.928631
[58] eval-auc:0.710346 train-auc:0.928884
[59] eval-auc:0.709675 train-auc:0.928609
[60] eval-auc:0.709906 train-auc:0.929211
[61] eval-auc:0.709713 train-auc:0.929727
[62] eval-auc:0.709829 train-auc:0.930714
[63] eval-auc:0.709998 train-auc:0.930783
[64] eval-auc:0.709865 train-auc:0.932055
[65] eval-auc:0.709877 train-auc:0.931721
[66] eval-auc:0.710218 train-auc:0.932659
[67] eval-auc:0.709812 train-auc:0.932031
[68] eval-auc:0.709387 train-auc:0.932687
[69] eval-auc:0.70816 train-auc:0.933494
[70] eval-auc:0.708391 train-auc:0.935039
[71] eval-auc:0.707909 train-auc:0.936103
[72] eval-auc:0.70757 train-auc:0.936466
[73] eval-auc:0.707391 train-auc:0.93609
[74] eval-auc:0.707243 train-auc:0.937406
[75] eval-auc:0.707342 train-auc:0.938493
[76] eval-auc:0.707548 train-auc:0.93874
[77] eval-auc:0.70714 train-auc:0.93943
[78] eval-auc:0.707149 train-auc:0.9407
[79] eval-auc:0.706882 train-auc:0.941248
[80] eval-auc:0.706794 train-auc:0.941281
[81] eval-auc:0.706319 train-auc:0.9424
[82] eval-auc:0.706358 train-auc:0.943164
[83] eval-auc:0.70569 train-auc:0.943917
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[86] eval-auc:0.705737 train-auc:0.944867
[87] eval-auc:0.704738 train-auc:0.944951
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[89] eval-auc:0.704883 train-auc:0.947017
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[92] eval-auc:0.703803 train-auc:0.949612
[93] eval-auc:0.704181 train-auc:0.949856
[94] eval-auc:0.704251 train-auc:0.950755
[95] eval-auc:0.703401 train-auc:0.95169
[96] eval-auc:0.702809 train-auc:0.952317
[97] eval-auc:0.702923 train-auc:0.952943
[98] eval-auc:0.703241 train-auc:0.953877
[99] eval-auc:0.703887 train-auc:0.955061
[100] eval-auc:0.703677 train-auc:0.95581
[101] eval-auc:0.703494 train-auc:0.956054
[102] eval-auc:0.70324 train-auc:0.956467
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[104] eval-auc:0.703576 train-auc:0.956631
[105] eval-auc:0.703221 train-auc:0.957013
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[107] eval-auc:0.703334 train-auc:0.957957
[108] eval-auc:0.70345 train-auc:0.958033
[109] eval-auc:0.70334 train-auc:0.958695
[110] eval-auc:0.703042 train-auc:0.958679
[111] eval-auc:0.702702 train-auc:0.958808
[112] eval-auc:0.702689 train-auc:0.959139
[113] eval-auc:0.703077 train-auc:0.959146
[114] eval-auc:0.702982 train-auc:0.959857
[115] eval-auc:0.703049 train-auc:0.960329
[116] eval-auc:0.703052 train-auc:0.961036
[117] eval-auc:0.703588 train-auc:0.962021
[118] eval-auc:0.703499 train-auc:0.962061
[119] eval-auc:0.70386 train-auc:0.962538
[120] eval-auc:0.703001 train-auc:0.962565
[121] eval-auc:0.702996 train-auc:0.96264
[122] eval-auc:0.702998 train-auc:0.963077
[123] eval-auc:0.702381 train-auc:0.963015
[124] eval-auc:0.702855 train-auc:0.963963
[125] eval-auc:0.702722 train-auc:0.964274
[126] eval-auc:0.701758 train-auc:0.964556
[127] eval-auc:0.702078 train-auc:0.964711
[128] eval-auc:0.702226 train-auc:0.965101
[129] eval-auc:0.702306 train-auc:0.965554
[130] eval-auc:0.701671 train-auc:0.966154
[131] eval-auc:0.701466 train-auc:0.966581
[132] eval-auc:0.701289 train-auc:0.966696
[133] eval-auc:0.701222 train-auc:0.967041
[134] eval-auc:0.701469 train-auc:0.966858
[135] eval-auc:0.702012 train-auc:0.967797
[136] eval-auc:0.701834 train-auc:0.967832
[137] eval-auc:0.70151 train-auc:0.968009
[138] eval-auc:0.701891 train-auc:0.968592
[139] eval-auc:0.701961 train-auc:0.968844
[140] eval-auc:0.701639 train-auc:0.969031
[141] eval-auc:0.701324 train-auc:0.969334
[142] eval-auc:0.701195 train-auc:0.969558
[143] eval-auc:0.701452 train-auc:0.969772
[144] eval-auc:0.701501 train-auc:0.970445
[145] eval-auc:0.701189 train-auc:0.970931
[146] eval-auc:0.701475 train-auc:0.971046
[147] eval-auc:0.70168 train-auc:0.97122
[148] eval-auc:0.701294 train-auc:0.971676
[149] eval-auc:0.700845 train-auc:0.971888
[150] eval-auc:0.701722 train-auc:0.971801
[151] eval-auc:0.701543 train-auc:0.971888
[152] eval-auc:0.701684 train-auc:0.972096
[153] eval-auc:0.702003 train-auc:0.972358
[154] eval-auc:0.702136 train-auc:0.97288
[155] eval-auc:0.702347 train-auc:0.973196
[156] eval-auc:0.702428 train-auc:0.973234
[157] eval-auc:0.702771 train-auc:0.973564
[158] eval-auc:0.702513 train-auc:0.973855
[159] eval-auc:0.703293 train-auc:0.9741
[160] eval-auc:0.702917 train-auc:0.974607
[161] eval-auc:0.702497 train-auc:0.974828
[162] eval-auc:0.702503 train-auc:0.974998
[163] eval-auc:0.7029 train-auc:0.975291
[164] eval-auc:0.702591 train-auc:0.975397
[165] eval-auc:0.702232 train-auc:0.975799
[166] eval-auc:0.702028 train-auc:0.976039
[167] eval-auc:0.702634 train-auc:0.976562
[168] eval-auc:0.702367 train-auc:0.976882
[169] eval-auc:0.702944 train-auc:0.977197
[170] eval-auc:0.702985 train-auc:0.977474
[171] eval-auc:0.702775 train-auc:0.977815
[172] eval-auc:0.702566 train-auc:0.978519
[173] eval-auc:0.702896 train-auc:0.978813
[174] eval-auc:0.703065 train-auc:0.978877
[175] eval-auc:0.702815 train-auc:0.979043
[176] eval-auc:0.702509 train-auc:0.979327
[177] eval-auc:0.702819 train-auc:0.979468
[178] eval-auc:0.702938 train-auc:0.979774
[179] eval-auc:0.703374 train-auc:0.980084
[180] eval-auc:0.703278 train-auc:0.980513
[181] eval-auc:0.70322 train-auc:0.980795
[182] eval-auc:0.703059 train-auc:0.98098
[183] eval-auc:0.703334 train-auc:0.981223
[184] eval-auc:0.703148 train-auc:0.981352
[185] eval-auc:0.703272 train-auc:0.981432
[186] eval-auc:0.703424 train-auc:0.981561
[187] eval-auc:0.703193 train-auc:0.981823
[188] eval-auc:0.703365 train-auc:0.982043
[189] eval-auc:0.703352 train-auc:0.98239
[190] eval-auc:0.703937 train-auc:0.982501
[191] eval-auc:0.703782 train-auc:0.982849
[192] eval-auc:0.703598 train-auc:0.98306
[193] eval-auc:0.703637 train-auc:0.983082
[194] eval-auc:0.703776 train-auc:0.983135
[195] eval-auc:0.703808 train-auc:0.983489
[196] eval-auc:0.704038 train-auc:0.983709
[197] eval-auc:0.704024 train-auc:0.983849
[198] eval-auc:0.704153 train-auc:0.983976
[199] eval-auc:0.704181 train-auc:0.984054
[200] eval-auc:0.703785 train-auc:0.984252
[201] eval-auc:0.703582 train-auc:0.984574
[202] eval-auc:0.703454 train-auc:0.984862
[203] eval-auc:0.703578 train-auc:0.985239
[204] eval-auc:0.70327 train-auc:0.985481
[205] eval-auc:0.703322 train-auc:0.985372
Score 0.7033220041662097
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9, 'eta': 0.25, 'eval_metric': 'auc', 'gamma': 0.8500000000000001, 'max_depth': 12, 'min_child_weight': 1.0, 'n_estimators': 631.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.684428 train-auc:0.931575
[1] eval-auc:0.603025 train-auc:0.974001
[2] eval-auc:0.656042 train-auc:0.984112
[3] eval-auc:0.639119 train-auc:0.989411
[4] eval-auc:0.654699 train-auc:0.995361
[5] eval-auc:0.676977 train-auc:0.99727
[6] eval-auc:0.674446 train-auc:0.998232
[7] eval-auc:0.680672 train-auc:0.998949
[8] eval-auc:0.6788 train-auc:0.999363
[9] eval-auc:0.688768 train-auc:0.999677
[10] eval-auc:0.693578 train-auc:0.999835
[11] eval-auc:0.694831 train-auc:0.999817
[12] eval-auc:0.694891 train-auc:0.99988
[13] eval-auc:0.694572 train-auc:0.999918
[14] eval-auc:0.695213 train-auc:0.999916
[15] eval-auc:0.696098 train-auc:0.999943
[16] eval-auc:0.696841 train-auc:0.99999
[17] eval-auc:0.697266 train-auc:0.999999
[18] eval-auc:0.694746 train-auc:0.999999
[19] eval-auc:0.695218 train-auc:0.999999
[20] eval-auc:0.696325 train-auc:1
[21] eval-auc:0.697064 train-auc:1
[22] eval-auc:0.696129 train-auc:1
[23] eval-auc:0.69603 train-auc:1
[24] eval-auc:0.696517 train-auc:1
[25] eval-auc:0.694525 train-auc:1
[26] eval-auc:0.693557 train-auc:1
[27] eval-auc:0.694779 train-auc:1
[28] eval-auc:0.696284 train-auc:1
[29] eval-auc:0.696214 train-auc:1
[30] eval-auc:0.696549 train-auc:1
[31] eval-auc:0.696322 train-auc:1
[32] eval-auc:0.696785 train-auc:1
[33] eval-auc:0.695978 train-auc:1
[34] eval-auc:0.696534 train-auc:1
[35] eval-auc:0.69696 train-auc:1
[36] eval-auc:0.697132 train-auc:1
[37] eval-auc:0.697857 train-auc:1
[38] eval-auc:0.697633 train-auc:1
[39] eval-auc:0.69669 train-auc:1
[40] eval-auc:0.69699 train-auc:1
[41] eval-auc:0.695868 train-auc:1
[42] eval-auc:0.695631 train-auc:1
[43] eval-auc:0.695294 train-auc:1
[44] eval-auc:0.695322 train-auc:1
[45] eval-auc:0.696116 train-auc:1
[46] eval-auc:0.697272 train-auc:1
[47] eval-auc:0.697228 train-auc:1
[48] eval-auc:0.697173 train-auc:1
[49] eval-auc:0.697613 train-auc:1
[50] eval-auc:0.698076 train-auc:1
[51] eval-auc:0.697528 train-auc:1
[52] eval-auc:0.697727 train-auc:1
[53] eval-auc:0.697903 train-auc:1
[54] eval-auc:0.700412 train-auc:1
[55] eval-auc:0.699937 train-auc:1
[56] eval-auc:0.699319 train-auc:1
[57] eval-auc:0.699642 train-auc:1
[58] eval-auc:0.699642 train-auc:1
[59] eval-auc:0.699642 train-auc:1
[60] eval-auc:0.699436 train-auc:1
[61] eval-auc:0.699436 train-auc:1
[62] eval-auc:0.699294 train-auc:1
[63] eval-auc:0.69915 train-auc:1
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[65] eval-auc:0.69915 train-auc:1
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[70] eval-auc:0.69915 train-auc:1
[71] eval-auc:0.69915 train-auc:1
[72] eval-auc:0.69915 train-auc:1
[73] eval-auc:0.69915 train-auc:1
[74] eval-auc:0.69915 train-auc:1
[75] eval-auc:0.69915 train-auc:1
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[78] eval-auc:0.699186 train-auc:1
[79] eval-auc:0.699596 train-auc:1
[80] eval-auc:0.699596 train-auc:1
[81] eval-auc:0.698838 train-auc:1
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[84] eval-auc:0.698993 train-auc:1
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[89] eval-auc:0.698909 train-auc:1
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[95] eval-auc:0.698442 train-auc:1
[96] eval-auc:0.697831 train-auc:1
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[100] eval-auc:0.697831 train-auc:1
[101] eval-auc:0.696803 train-auc:1
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[120] eval-auc:0.696803 train-auc:1
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[123] eval-auc:0.696803 train-auc:1
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[128] eval-auc:0.696803 train-auc:1
[129] eval-auc:0.696803 train-auc:1
[130] eval-auc:0.6968 train-auc:1
[131] eval-auc:0.697861 train-auc:1
[132] eval-auc:0.697861 train-auc:1
[133] eval-auc:0.697861 train-auc:1
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[135] eval-auc:0.697861 train-auc:1
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[137] eval-auc:0.697861 train-auc:1
[138] eval-auc:0.697951 train-auc:1
[139] eval-auc:0.697951 train-auc:1
[140] eval-auc:0.697951 train-auc:1
[141] eval-auc:0.697951 train-auc:1
[142] eval-auc:0.696962 train-auc:1
[143] eval-auc:0.69717 train-auc:1
[144] eval-auc:0.697431 train-auc:1
[145] eval-auc:0.697798 train-auc:1
[146] eval-auc:0.697918 train-auc:1
[147] eval-auc:0.698116 train-auc:1
[148] eval-auc:0.698122 train-auc:1
[149] eval-auc:0.698274 train-auc:1
[150] eval-auc:0.698274 train-auc:1
[151] eval-auc:0.698274 train-auc:1
[152] eval-auc:0.698274 train-auc:1
[153] eval-auc:0.698274 train-auc:1
[154] eval-auc:0.698274 train-auc:1
[155] eval-auc:0.698492 train-auc:1
[156] eval-auc:0.698397 train-auc:1
[157] eval-auc:0.698397 train-auc:1
[158] eval-auc:0.698397 train-auc:1
[159] eval-auc:0.698397 train-auc:1
[160] eval-auc:0.698397 train-auc:1
[161] eval-auc:0.698397 train-auc:1
[162] eval-auc:0.698397 train-auc:1
[163] eval-auc:0.698397 train-auc:1
[164] eval-auc:0.698397 train-auc:1
[165] eval-auc:0.698397 train-auc:1
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[167] eval-auc:0.698233 train-auc:1
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[169] eval-auc:0.698233 train-auc:1
[170] eval-auc:0.698233 train-auc:1
[171] eval-auc:0.698233 train-auc:1
[172] eval-auc:0.698233 train-auc:1
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[180] eval-auc:0.698233 train-auc:1
[181] eval-auc:0.698219 train-auc:1
[182] eval-auc:0.698477 train-auc:1
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[184] eval-auc:0.698053 train-auc:1
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[186] eval-auc:0.698113 train-auc:1
[187] eval-auc:0.69737 train-auc:1
[188] eval-auc:0.696601 train-auc:1
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[191] eval-auc:0.696601 train-auc:1
[192] eval-auc:0.696601 train-auc:1
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[200] eval-auc:0.696601 train-auc:1
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[202] eval-auc:0.696459 train-auc:1
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[210] eval-auc:0.698172 train-auc:1
[211] eval-auc:0.698402 train-auc:1
[212] eval-auc:0.698518 train-auc:1
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[220] eval-auc:0.698518 train-auc:1
[221] eval-auc:0.698518 train-auc:1
[222] eval-auc:0.69832 train-auc:1
[223] eval-auc:0.69832 train-auc:1
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[395] eval-auc:0.698099 train-auc:1
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[399] eval-auc:0.698157 train-auc:1
[400] eval-auc:0.698157 train-auc:1
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[402] eval-auc:0.697756 train-auc:1
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[406] eval-auc:0.697756 train-auc:1
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[409] eval-auc:0.697756 train-auc:1
[410] eval-auc:0.697756 train-auc:1
[411] eval-auc:0.697756 train-auc:1
[412] eval-auc:0.697702 train-auc:1
[413] eval-auc:0.697702 train-auc:1
[414] eval-auc:0.69768 train-auc:1
[415] eval-auc:0.69768 train-auc:1
[416] eval-auc:0.69768 train-auc:1
[417] eval-auc:0.697727 train-auc:1
[418] eval-auc:0.697727 train-auc:1
[419] eval-auc:0.697727 train-auc:1
[420] eval-auc:0.697727 train-auc:1
[421] eval-auc:0.697727 train-auc:1
[422] eval-auc:0.697727 train-auc:1
[423] eval-auc:0.697727 train-auc:1
[424] eval-auc:0.697727 train-auc:1
[425] eval-auc:0.697727 train-auc:1
[426] eval-auc:0.697727 train-auc:1
[427] eval-auc:0.697727 train-auc:1
[428] eval-auc:0.697727 train-auc:1
[429] eval-auc:0.697694 train-auc:1
[430] eval-auc:0.697694 train-auc:1
[431] eval-auc:0.697694 train-auc:1
[432] eval-auc:0.697694 train-auc:1
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[434] eval-auc:0.697694 train-auc:1
[435] eval-auc:0.697694 train-auc:1
[436] eval-auc:0.697694 train-auc:1
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[438] eval-auc:0.697694 train-auc:1
[439] eval-auc:0.697694 train-auc:1
[440] eval-auc:0.697694 train-auc:1
[441] eval-auc:0.697694 train-auc:1
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[444] eval-auc:0.697694 train-auc:1
[445] eval-auc:0.697694 train-auc:1
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[447] eval-auc:0.697694 train-auc:1
[448] eval-auc:0.697694 train-auc:1
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[450] eval-auc:0.697694 train-auc:1
[451] eval-auc:0.697694 train-auc:1
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[454] eval-auc:0.697694 train-auc:1
[455] eval-auc:0.697694 train-auc:1
[456] eval-auc:0.697694 train-auc:1
[457] eval-auc:0.697694 train-auc:1
[458] eval-auc:0.697694 train-auc:1
[459] eval-auc:0.697694 train-auc:1
[460] eval-auc:0.697694 train-auc:1
[461] eval-auc:0.697694 train-auc:1
[462] eval-auc:0.697694 train-auc:1
[463] eval-auc:0.697694 train-auc:1
[464] eval-auc:0.697724 train-auc:1
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[466] eval-auc:0.697724 train-auc:1
[467] eval-auc:0.697724 train-auc:1
[468] eval-auc:0.697724 train-auc:1
[469] eval-auc:0.697724 train-auc:1
[470] eval-auc:0.697724 train-auc:1
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[475] eval-auc:0.697724 train-auc:1
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[478] eval-auc:0.697731 train-auc:1
[479] eval-auc:0.697731 train-auc:1
[480] eval-auc:0.697731 train-auc:1
[481] eval-auc:0.697731 train-auc:1
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[483] eval-auc:0.697731 train-auc:1
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[485] eval-auc:0.697731 train-auc:1
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[488] eval-auc:0.697731 train-auc:1
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[490] eval-auc:0.697731 train-auc:1
[491] eval-auc:0.697731 train-auc:1
[492] eval-auc:0.697731 train-auc:1
[493] eval-auc:0.697731 train-auc:1
[494] eval-auc:0.697839 train-auc:1
[495] eval-auc:0.697839 train-auc:1
[496] eval-auc:0.697839 train-auc:1
[497] eval-auc:0.697839 train-auc:1
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[500] eval-auc:0.697839 train-auc:1
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[508] eval-auc:0.697849 train-auc:1
[509] eval-auc:0.697826 train-auc:1
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[512] eval-auc:0.697826 train-auc:1
[513] eval-auc:0.697826 train-auc:1
[514] eval-auc:0.697826 train-auc:1
[515] eval-auc:0.697826 train-auc:1
[516] eval-auc:0.697826 train-auc:1
[517] eval-auc:0.697826 train-auc:1
[518] eval-auc:0.697826 train-auc:1
[519] eval-auc:0.697826 train-auc:1
[520] eval-auc:0.697826 train-auc:1
[521] eval-auc:0.697826 train-auc:1
[522] eval-auc:0.697826 train-auc:1
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[524] eval-auc:0.697826 train-auc:1
[525] eval-auc:0.697826 train-auc:1
[526] eval-auc:0.697826 train-auc:1
[527] eval-auc:0.697826 train-auc:1
[528] eval-auc:0.697826 train-auc:1
[529] eval-auc:0.697826 train-auc:1
[530] eval-auc:0.697826 train-auc:1
[531] eval-auc:0.697826 train-auc:1
[532] eval-auc:0.697826 train-auc:1
[533] eval-auc:0.697826 train-auc:1
[534] eval-auc:0.697826 train-auc:1
[535] eval-auc:0.697826 train-auc:1
[536] eval-auc:0.697826 train-auc:1
[537] eval-auc:0.697826 train-auc:1
[538] eval-auc:0.697826 train-auc:1
[539] eval-auc:0.697826 train-auc:1
[540] eval-auc:0.697826 train-auc:1
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[550] eval-auc:0.697826 train-auc:1
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[553] eval-auc:0.697826 train-auc:1
[554] eval-auc:0.697826 train-auc:1
[555] eval-auc:0.697826 train-auc:1
[556] eval-auc:0.697826 train-auc:1
[557] eval-auc:0.697826 train-auc:1
[558] eval-auc:0.697826 train-auc:1
[559] eval-auc:0.697826 train-auc:1
[560] eval-auc:0.697826 train-auc:1
[561] eval-auc:0.697826 train-auc:1
[562] eval-auc:0.697826 train-auc:1
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[564] eval-auc:0.697826 train-auc:1
[565] eval-auc:0.697826 train-auc:1
[566] eval-auc:0.697826 train-auc:1
[567] eval-auc:0.697826 train-auc:1
[568] eval-auc:0.697826 train-auc:1
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[570] eval-auc:0.698136 train-auc:1
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[572] eval-auc:0.698136 train-auc:1
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[574] eval-auc:0.698136 train-auc:1
[575] eval-auc:0.698136 train-auc:1
[576] eval-auc:0.698136 train-auc:1
[577] eval-auc:0.698136 train-auc:1
[578] eval-auc:0.698136 train-auc:1
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[580] eval-auc:0.698136 train-auc:1
[581] eval-auc:0.698136 train-auc:1
[582] eval-auc:0.698136 train-auc:1
[583] eval-auc:0.698136 train-auc:1
[584] eval-auc:0.698136 train-auc:1
[585] eval-auc:0.698136 train-auc:1
[586] eval-auc:0.698136 train-auc:1
[587] eval-auc:0.698136 train-auc:1
[588] eval-auc:0.698136 train-auc:1
[589] eval-auc:0.698136 train-auc:1
[590] eval-auc:0.698136 train-auc:1
[591] eval-auc:0.698136 train-auc:1
[592] eval-auc:0.698136 train-auc:1
[593] eval-auc:0.698136 train-auc:1
[594] eval-auc:0.698136 train-auc:1
[595] eval-auc:0.698136 train-auc:1
[596] eval-auc:0.698136 train-auc:1
[597] eval-auc:0.698136 train-auc:1
[598] eval-auc:0.698136 train-auc:1
[599] eval-auc:0.698136 train-auc:1
[600] eval-auc:0.698136 train-auc:1
[601] eval-auc:0.698136 train-auc:1
[602] eval-auc:0.698136 train-auc:1
[603] eval-auc:0.698136 train-auc:1
[604] eval-auc:0.698136 train-auc:1
[605] eval-auc:0.698136 train-auc:1
[606] eval-auc:0.698136 train-auc:1
[607] eval-auc:0.698136 train-auc:1
[608] eval-auc:0.698136 train-auc:1
[609] eval-auc:0.698136 train-auc:1
[610] eval-auc:0.698136 train-auc:1
[611] eval-auc:0.698136 train-auc:1
[612] eval-auc:0.698136 train-auc:1
[613] eval-auc:0.698136 train-auc:1
[614] eval-auc:0.698136 train-auc:1
[615] eval-auc:0.698136 train-auc:1
[616] eval-auc:0.698136 train-auc:1
[617] eval-auc:0.698136 train-auc:1
[618] eval-auc:0.698136 train-auc:1
[619] eval-auc:0.698136 train-auc:1
[620] eval-auc:0.698136 train-auc:1
[621] eval-auc:0.698136 train-auc:1
[622] eval-auc:0.698136 train-auc:1
[623] eval-auc:0.698136 train-auc:1
[624] eval-auc:0.698136 train-auc:1
[625] eval-auc:0.698136 train-auc:1
[626] eval-auc:0.698136 train-auc:1
[627] eval-auc:0.698136 train-auc:1
[628] eval-auc:0.698136 train-auc:1
[629] eval-auc:0.698136 train-auc:1
[630] eval-auc:0.698136 train-auc:1
Score 0.6981355601846776
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 1.0, 'eta': 0.05, 'eval_metric': 'auc', 'gamma': 0.9500000000000001, 'max_depth': 2, 'min_child_weight': 2.0, 'n_estimators': 117.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.670464 train-auc:0.689717
[1] eval-auc:0.669684 train-auc:0.690297
[2] eval-auc:0.666128 train-auc:0.694804
[3] eval-auc:0.697974 train-auc:0.716164
[4] eval-auc:0.697974 train-auc:0.716164
[5] eval-auc:0.697995 train-auc:0.718088
[6] eval-auc:0.69544 train-auc:0.716075
[7] eval-auc:0.69544 train-auc:0.716075
[8] eval-auc:0.69544 train-auc:0.716075
[9] eval-auc:0.695862 train-auc:0.716303
[10] eval-auc:0.696051 train-auc:0.716414
[11] eval-auc:0.699904 train-auc:0.718608
[12] eval-auc:0.699714 train-auc:0.718944
[13] eval-auc:0.699188 train-auc:0.718822
[14] eval-auc:0.698896 train-auc:0.718979
[15] eval-auc:0.699499 train-auc:0.719196
[16] eval-auc:0.700175 train-auc:0.719179
[17] eval-auc:0.700239 train-auc:0.720265
[18] eval-auc:0.699662 train-auc:0.721057
[19] eval-auc:0.698243 train-auc:0.721505
[20] eval-auc:0.69859 train-auc:0.722939
[21] eval-auc:0.698404 train-auc:0.722986
[22] eval-auc:0.697891 train-auc:0.722877
[23] eval-auc:0.697779 train-auc:0.723427
[24] eval-auc:0.6982 train-auc:0.724371
[25] eval-auc:0.697268 train-auc:0.725876
[26] eval-auc:0.69754 train-auc:0.726022
[27] eval-auc:0.698032 train-auc:0.726128
[28] eval-auc:0.698372 train-auc:0.726607
[29] eval-auc:0.697845 train-auc:0.724694
[30] eval-auc:0.697644 train-auc:0.726122
[31] eval-auc:0.700637 train-auc:0.728871
[32] eval-auc:0.698022 train-auc:0.727262
[33] eval-auc:0.699808 train-auc:0.729838
[34] eval-auc:0.699345 train-auc:0.728313
[35] eval-auc:0.699152 train-auc:0.726783
[36] eval-auc:0.698931 train-auc:0.724863
[37] eval-auc:0.700287 train-auc:0.727379
[38] eval-auc:0.699297 train-auc:0.725711
[39] eval-auc:0.698548 train-auc:0.72461
[40] eval-auc:0.697569 train-auc:0.724462
[41] eval-auc:0.698428 train-auc:0.726149
[42] eval-auc:0.697638 train-auc:0.724468
[43] eval-auc:0.699536 train-auc:0.724896
[44] eval-auc:0.698026 train-auc:0.725115
[45] eval-auc:0.698439 train-auc:0.724162
[46] eval-auc:0.698129 train-auc:0.723803
[47] eval-auc:0.697453 train-auc:0.725319
[48] eval-auc:0.697826 train-auc:0.725625
[49] eval-auc:0.697523 train-auc:0.725898
[50] eval-auc:0.697647 train-auc:0.726001
[51] eval-auc:0.697327 train-auc:0.72491
[52] eval-auc:0.697842 train-auc:0.72586
[53] eval-auc:0.698091 train-auc:0.726035
[54] eval-auc:0.698342 train-auc:0.726556
[55] eval-auc:0.699114 train-auc:0.726959
[56] eval-auc:0.698433 train-auc:0.727118
[57] eval-auc:0.69944 train-auc:0.727184
[58] eval-auc:0.699027 train-auc:0.727641
[59] eval-auc:0.700455 train-auc:0.72857
[60] eval-auc:0.700801 train-auc:0.729129
[61] eval-auc:0.701593 train-auc:0.729913
[62] eval-auc:0.702216 train-auc:0.729767
[63] eval-auc:0.702913 train-auc:0.73091
[64] eval-auc:0.703378 train-auc:0.731144
[65] eval-auc:0.703773 train-auc:0.731329
[66] eval-auc:0.703474 train-auc:0.731706
[67] eval-auc:0.703866 train-auc:0.732257
[68] eval-auc:0.703694 train-auc:0.73263
[69] eval-auc:0.70334 train-auc:0.732043
[70] eval-auc:0.703658 train-auc:0.731746
[71] eval-auc:0.704288 train-auc:0.732034
[72] eval-auc:0.704368 train-auc:0.732078
[73] eval-auc:0.70449 train-auc:0.73232
[74] eval-auc:0.704424 train-auc:0.732751
[75] eval-auc:0.703373 train-auc:0.732715
[76] eval-auc:0.703483 train-auc:0.732669
[77] eval-auc:0.704217 train-auc:0.732947
[78] eval-auc:0.704207 train-auc:0.733113
[79] eval-auc:0.704437 train-auc:0.733485
[80] eval-auc:0.704303 train-auc:0.733704
[81] eval-auc:0.704914 train-auc:0.73364
[82] eval-auc:0.705295 train-auc:0.733823
[83] eval-auc:0.705611 train-auc:0.733953
[84] eval-auc:0.704894 train-auc:0.733977
[85] eval-auc:0.705261 train-auc:0.734094
[86] eval-auc:0.70564 train-auc:0.734718
[87] eval-auc:0.705532 train-auc:0.734867
[88] eval-auc:0.705913 train-auc:0.735591
[89] eval-auc:0.705944 train-auc:0.73629
[90] eval-auc:0.705786 train-auc:0.736046
[91] eval-auc:0.705678 train-auc:0.736083
[92] eval-auc:0.705254 train-auc:0.735973
[93] eval-auc:0.705084 train-auc:0.736507
[94] eval-auc:0.705839 train-auc:0.737062
[95] eval-auc:0.706019 train-auc:0.737296
[96] eval-auc:0.706152 train-auc:0.737522
[97] eval-auc:0.706157 train-auc:0.737611
[98] eval-auc:0.706103 train-auc:0.738116
[99] eval-auc:0.706253 train-auc:0.738214
[100] eval-auc:0.706045 train-auc:0.738508
[101] eval-auc:0.70631 train-auc:0.739395
[102] eval-auc:0.706294 train-auc:0.73971
[103] eval-auc:0.706457 train-auc:0.739739
[104] eval-auc:0.706392 train-auc:0.739634
[105] eval-auc:0.706483 train-auc:0.73971
[106] eval-auc:0.706302 train-auc:0.739495
[107] eval-auc:0.70662 train-auc:0.739654
[108] eval-auc:0.706841 train-auc:0.739872
[109] eval-auc:0.706896 train-auc:0.740178
[110] eval-auc:0.706959 train-auc:0.740202
[111] eval-auc:0.707192 train-auc:0.740523
[112] eval-auc:0.707306 train-auc:0.74061
[113] eval-auc:0.707602 train-auc:0.740914
[114] eval-auc:0.707609 train-auc:0.740945
[115] eval-auc:0.707854 train-auc:0.74132
[116] eval-auc:0.70813 train-auc:0.741606
Score 0.7081300478748676
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8500000000000001, 'eta': 0.15000000000000002, 'eval_metric': 'auc', 'gamma': 1.0, 'max_depth': 6, 'min_child_weight': 1.0, 'n_estimators': 267.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.707793 train-auc:0.775553
[1] eval-auc:0.692901 train-auc:0.810666
[2] eval-auc:0.698293 train-auc:0.83057
[3] eval-auc:0.684761 train-auc:0.837731
[4] eval-auc:0.68375 train-auc:0.859029
[5] eval-auc:0.688526 train-auc:0.871152
[6] eval-auc:0.687556 train-auc:0.885634
[7] eval-auc:0.688325 train-auc:0.888223
[8] eval-auc:0.682489 train-auc:0.897728
[9] eval-auc:0.686009 train-auc:0.907352
[10] eval-auc:0.684474 train-auc:0.912177
[11] eval-auc:0.68561 train-auc:0.914361
[12] eval-auc:0.683794 train-auc:0.919869
[13] eval-auc:0.685986 train-auc:0.926475
[14] eval-auc:0.684777 train-auc:0.929335
[15] eval-auc:0.687975 train-auc:0.934522
[16] eval-auc:0.689971 train-auc:0.935792
[17] eval-auc:0.688988 train-auc:0.938443
[18] eval-auc:0.690551 train-auc:0.94396
[19] eval-auc:0.690743 train-auc:0.944523
[20] eval-auc:0.691988 train-auc:0.947532
[21] eval-auc:0.692274 train-auc:0.947559
[22] eval-auc:0.69341 train-auc:0.9485
[23] eval-auc:0.691668 train-auc:0.953792
[24] eval-auc:0.691407 train-auc:0.95576
[25] eval-auc:0.692533 train-auc:0.959869
[26] eval-auc:0.693688 train-auc:0.960638
[27] eval-auc:0.693768 train-auc:0.96058
[28] eval-auc:0.696327 train-auc:0.961446
[29] eval-auc:0.696221 train-auc:0.961445
[30] eval-auc:0.696466 train-auc:0.961492
[31] eval-auc:0.696559 train-auc:0.963642
[32] eval-auc:0.698404 train-auc:0.966358
[33] eval-auc:0.697066 train-auc:0.966675
[34] eval-auc:0.698819 train-auc:0.968482
[35] eval-auc:0.698663 train-auc:0.969363
[36] eval-auc:0.698765 train-auc:0.969384
[37] eval-auc:0.699221 train-auc:0.969494
[38] eval-auc:0.69916 train-auc:0.971179
[39] eval-auc:0.698858 train-auc:0.971453
[40] eval-auc:0.699318 train-auc:0.971676
[41] eval-auc:0.699227 train-auc:0.974164
[42] eval-auc:0.698607 train-auc:0.974631
[43] eval-auc:0.700449 train-auc:0.975909
[44] eval-auc:0.700347 train-auc:0.976792
[45] eval-auc:0.70092 train-auc:0.977157
[46] eval-auc:0.701072 train-auc:0.977744
[47] eval-auc:0.70124 train-auc:0.978604
[48] eval-auc:0.700582 train-auc:0.978742
[49] eval-auc:0.701601 train-auc:0.97964
[50] eval-auc:0.701843 train-auc:0.980028
[51] eval-auc:0.701521 train-auc:0.981035
[52] eval-auc:0.701224 train-auc:0.981488
[53] eval-auc:0.700189 train-auc:0.981967
[54] eval-auc:0.700332 train-auc:0.983127
[55] eval-auc:0.697433 train-auc:0.98373
[56] eval-auc:0.697445 train-auc:0.984059
[57] eval-auc:0.69648 train-auc:0.98482
[58] eval-auc:0.696215 train-auc:0.9851
[59] eval-auc:0.696939 train-auc:0.985792
[60] eval-auc:0.696253 train-auc:0.986019
[61] eval-auc:0.696015 train-auc:0.986683
[62] eval-auc:0.696932 train-auc:0.987137
[63] eval-auc:0.697969 train-auc:0.987308
[64] eval-auc:0.697986 train-auc:0.987609
[65] eval-auc:0.697804 train-auc:0.987656
[66] eval-auc:0.69738 train-auc:0.988171
[67] eval-auc:0.696475 train-auc:0.989002
[68] eval-auc:0.69547 train-auc:0.989583
[69] eval-auc:0.69611 train-auc:0.989618
[70] eval-auc:0.696292 train-auc:0.989746
[71] eval-auc:0.695694 train-auc:0.990049
[72] eval-auc:0.695235 train-auc:0.990333
[73] eval-auc:0.695229 train-auc:0.990351
[74] eval-auc:0.695703 train-auc:0.990663
[75] eval-auc:0.695884 train-auc:0.990715
[76] eval-auc:0.697172 train-auc:0.991463
[77] eval-auc:0.697306 train-auc:0.99212
[78] eval-auc:0.697554 train-auc:0.992361
[79] eval-auc:0.69759 train-auc:0.992515
[80] eval-auc:0.696622 train-auc:0.992857
[81] eval-auc:0.697258 train-auc:0.993296
[82] eval-auc:0.697132 train-auc:0.993507
[83] eval-auc:0.696934 train-auc:0.993516
[84] eval-auc:0.696858 train-auc:0.993541
[85] eval-auc:0.69719 train-auc:0.994177
[86] eval-auc:0.69752 train-auc:0.994482
[87] eval-auc:0.697067 train-auc:0.994489
[88] eval-auc:0.697441 train-auc:0.994513
[89] eval-auc:0.697345 train-auc:0.994512
[90] eval-auc:0.697089 train-auc:0.994544
[91] eval-auc:0.698309 train-auc:0.994852
[92] eval-auc:0.698501 train-auc:0.994865
[93] eval-auc:0.698396 train-auc:0.99534
[94] eval-auc:0.698676 train-auc:0.995653
[95] eval-auc:0.698976 train-auc:0.995785
[96] eval-auc:0.698274 train-auc:0.995916
[97] eval-auc:0.698061 train-auc:0.995953
[98] eval-auc:0.697954 train-auc:0.996351
[99] eval-auc:0.697555 train-auc:0.99647
[100] eval-auc:0.698754 train-auc:0.996506
[101] eval-auc:0.699396 train-auc:0.996834
[102] eval-auc:0.698967 train-auc:0.996926
[103] eval-auc:0.698506 train-auc:0.99703
[104] eval-auc:0.698991 train-auc:0.997379
[105] eval-auc:0.699424 train-auc:0.997673
[106] eval-auc:0.698965 train-auc:0.997714
[107] eval-auc:0.69947 train-auc:0.997763
[108] eval-auc:0.698487 train-auc:0.997867
[109] eval-auc:0.698568 train-auc:0.997875
[110] eval-auc:0.698457 train-auc:0.997877
[111] eval-auc:0.698405 train-auc:0.99788
[112] eval-auc:0.697956 train-auc:0.998128
[113] eval-auc:0.697967 train-auc:0.998127
[114] eval-auc:0.698289 train-auc:0.998125
[115] eval-auc:0.698332 train-auc:0.998204
[116] eval-auc:0.698257 train-auc:0.998393
[117] eval-auc:0.698793 train-auc:0.998576
[118] eval-auc:0.698734 train-auc:0.998685
[119] eval-auc:0.699055 train-auc:0.998688
[120] eval-auc:0.698702 train-auc:0.99884
[121] eval-auc:0.699537 train-auc:0.998896
[122] eval-auc:0.699792 train-auc:0.999125
[123] eval-auc:0.699582 train-auc:0.999164
[124] eval-auc:0.699617 train-auc:0.999183
[125] eval-auc:0.700187 train-auc:0.999192
[126] eval-auc:0.700344 train-auc:0.999199
[127] eval-auc:0.700764 train-auc:0.999237
[128] eval-auc:0.701449 train-auc:0.999268
[129] eval-auc:0.701501 train-auc:0.999272
[130] eval-auc:0.702431 train-auc:0.999367
[131] eval-auc:0.702576 train-auc:0.999423
[132] eval-auc:0.702609 train-auc:0.999426
[133] eval-auc:0.702288 train-auc:0.999428
[134] eval-auc:0.702114 train-auc:0.999429
[135] eval-auc:0.701262 train-auc:0.999434
[136] eval-auc:0.701929 train-auc:0.999452
[137] eval-auc:0.701228 train-auc:0.999455
[138] eval-auc:0.701615 train-auc:0.999457
[139] eval-auc:0.702073 train-auc:0.999539
[140] eval-auc:0.701863 train-auc:0.999551
[141] eval-auc:0.701443 train-auc:0.999566
[142] eval-auc:0.701166 train-auc:0.999584
[143] eval-auc:0.700977 train-auc:0.999592
[144] eval-auc:0.701402 train-auc:0.999607
[145] eval-auc:0.701827 train-auc:0.999648
[146] eval-auc:0.701493 train-auc:0.999677
[147] eval-auc:0.701824 train-auc:0.99969
[148] eval-auc:0.70165 train-auc:0.999696
[149] eval-auc:0.701464 train-auc:0.999699
[150] eval-auc:0.700889 train-auc:0.999709
[151] eval-auc:0.700785 train-auc:0.999708
[152] eval-auc:0.700342 train-auc:0.999727
[153] eval-auc:0.699553 train-auc:0.99974
[154] eval-auc:0.699687 train-auc:0.999743
[155] eval-auc:0.699345 train-auc:0.999747
[156] eval-auc:0.699036 train-auc:0.999766
[157] eval-auc:0.698652 train-auc:0.999766
[158] eval-auc:0.698646 train-auc:0.999767
[159] eval-auc:0.698186 train-auc:0.999807
[160] eval-auc:0.697679 train-auc:0.999812
[161] eval-auc:0.697205 train-auc:0.999834
[162] eval-auc:0.697392 train-auc:0.999833
[163] eval-auc:0.697306 train-auc:0.999834
[164] eval-auc:0.69823 train-auc:0.99985
[165] eval-auc:0.698603 train-auc:0.999856
[166] eval-auc:0.698649 train-auc:0.999857
[167] eval-auc:0.69802 train-auc:0.999887
[168] eval-auc:0.69835 train-auc:0.999902
[169] eval-auc:0.698146 train-auc:0.999902
[170] eval-auc:0.698372 train-auc:0.999904
[171] eval-auc:0.698253 train-auc:0.999904
[172] eval-auc:0.698318 train-auc:0.999906
[173] eval-auc:0.6985 train-auc:0.999913
[174] eval-auc:0.697773 train-auc:0.999913
[175] eval-auc:0.697587 train-auc:0.999914
[176] eval-auc:0.697517 train-auc:0.999914
[177] eval-auc:0.697426 train-auc:0.999915
[178] eval-auc:0.697353 train-auc:0.999915
[179] eval-auc:0.697389 train-auc:0.999915
[180] eval-auc:0.697682 train-auc:0.999915
[181] eval-auc:0.69759 train-auc:0.999915
[182] eval-auc:0.697653 train-auc:0.999924
[183] eval-auc:0.697694 train-auc:0.999924
[184] eval-auc:0.698396 train-auc:0.999927
[185] eval-auc:0.698291 train-auc:0.999927
[186] eval-auc:0.697858 train-auc:0.99993
[187] eval-auc:0.697143 train-auc:0.999927
[188] eval-auc:0.696401 train-auc:0.999927
[189] eval-auc:0.696086 train-auc:0.999928
[190] eval-auc:0.696479 train-auc:0.999928
[191] eval-auc:0.696279 train-auc:0.99994
[192] eval-auc:0.696185 train-auc:0.999943
[193] eval-auc:0.695704 train-auc:0.999947
[194] eval-auc:0.695897 train-auc:0.999948
[195] eval-auc:0.695121 train-auc:0.999948
[196] eval-auc:0.695031 train-auc:0.999946
[197] eval-auc:0.694645 train-auc:0.999947
[198] eval-auc:0.695029 train-auc:0.999947
[199] eval-auc:0.694265 train-auc:0.999948
[200] eval-auc:0.694448 train-auc:0.999948
[201] eval-auc:0.694818 train-auc:0.999948
[202] eval-auc:0.695052 train-auc:0.999954
[203] eval-auc:0.69572 train-auc:0.999963
[204] eval-auc:0.695717 train-auc:0.999963
[205] eval-auc:0.695142 train-auc:0.999966
[206] eval-auc:0.695235 train-auc:0.999968
[207] eval-auc:0.695297 train-auc:0.999968
[208] eval-auc:0.695113 train-auc:0.999968
[209] eval-auc:0.695232 train-auc:0.999969
[210] eval-auc:0.695232 train-auc:0.999969
[211] eval-auc:0.695288 train-auc:0.999969
[212] eval-auc:0.695512 train-auc:0.999968
[213] eval-auc:0.69509 train-auc:0.999969
[214] eval-auc:0.694967 train-auc:0.999969
[215] eval-auc:0.694994 train-auc:0.999969
[216] eval-auc:0.694952 train-auc:0.999968
[217] eval-auc:0.695026 train-auc:0.999974
[218] eval-auc:0.69479 train-auc:0.999974
[219] eval-auc:0.694737 train-auc:0.999974
[220] eval-auc:0.694819 train-auc:0.999974
[221] eval-auc:0.695009 train-auc:0.999974
[222] eval-auc:0.695032 train-auc:0.999981
[223] eval-auc:0.694909 train-auc:0.999981
[224] eval-auc:0.695233 train-auc:0.999982
[225] eval-auc:0.694735 train-auc:0.999982
[226] eval-auc:0.694977 train-auc:0.999984
[227] eval-auc:0.695504 train-auc:0.999984
[228] eval-auc:0.695877 train-auc:0.999986
[229] eval-auc:0.695376 train-auc:0.999986
[230] eval-auc:0.695143 train-auc:0.999986
[231] eval-auc:0.695082 train-auc:0.999986
[232] eval-auc:0.69505 train-auc:0.999986
[233] eval-auc:0.695072 train-auc:0.999986
[234] eval-auc:0.695093 train-auc:0.999986
[235] eval-auc:0.694906 train-auc:0.999986
[236] eval-auc:0.694868 train-auc:0.99999
[237] eval-auc:0.695235 train-auc:0.999993
[238] eval-auc:0.695224 train-auc:0.999993
[239] eval-auc:0.695699 train-auc:0.999994
[240] eval-auc:0.69543 train-auc:0.999995
[241] eval-auc:0.694898 train-auc:0.999997
[242] eval-auc:0.695212 train-auc:0.999997
[243] eval-auc:0.69536 train-auc:0.999997
[244] eval-auc:0.695267 train-auc:0.999997
[245] eval-auc:0.695533 train-auc:0.999996
[246] eval-auc:0.695308 train-auc:0.999998
[247] eval-auc:0.695308 train-auc:0.999998
[248] eval-auc:0.695308 train-auc:0.999998
[249] eval-auc:0.695308 train-auc:0.999998
[250] eval-auc:0.695308 train-auc:0.999998
[251] eval-auc:0.695308 train-auc:0.999998
[252] eval-auc:0.695308 train-auc:0.999998
[253] eval-auc:0.695308 train-auc:0.999998
[254] eval-auc:0.695308 train-auc:0.999998
[255] eval-auc:0.695308 train-auc:0.999998
[256] eval-auc:0.695352 train-auc:0.999998
[257] eval-auc:0.695172 train-auc:0.999998
[258] eval-auc:0.695379 train-auc:0.999998
[259] eval-auc:0.695379 train-auc:0.999998
[260] eval-auc:0.695379 train-auc:0.999998
[261] eval-auc:0.694458 train-auc:0.999999
[262] eval-auc:0.694743 train-auc:0.999999
[263] eval-auc:0.694712 train-auc:0.999999
[264] eval-auc:0.694936 train-auc:0.999999
[265] eval-auc:0.694983 train-auc:0.999999
[266] eval-auc:0.694967 train-auc:0.999999
Score 0.6949667434126374
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9500000000000001, 'eta': 0.325, 'eval_metric': 'auc', 'gamma': 1.0, 'max_depth': 13, 'min_child_weight': 2.0, 'n_estimators': 290.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9, 'tree_method': 'exact'}
[0] eval-auc:0.695283 train-auc:0.895855
[1] eval-auc:0.656722 train-auc:0.941682
[2] eval-auc:0.648053 train-auc:0.976322
[3] eval-auc:0.656907 train-auc:0.987862
[4] eval-auc:0.665959 train-auc:0.99432
[5] eval-auc:0.655931 train-auc:0.997011
[6] eval-auc:0.654806 train-auc:0.998643
[7] eval-auc:0.666511 train-auc:0.99916
[8] eval-auc:0.671817 train-auc:0.999497
[9] eval-auc:0.670668 train-auc:0.999616
[10] eval-auc:0.674119 train-auc:0.99989
[11] eval-auc:0.679564 train-auc:0.999924
[12] eval-auc:0.682141 train-auc:0.99997
[13] eval-auc:0.677614 train-auc:0.999983
[14] eval-auc:0.680289 train-auc:0.999975
[15] eval-auc:0.680508 train-auc:0.999976
[16] eval-auc:0.680677 train-auc:0.999975
[17] eval-auc:0.68287 train-auc:0.999987
[18] eval-auc:0.683992 train-auc:0.999996
[19] eval-auc:0.681877 train-auc:0.999999
[20] eval-auc:0.681163 train-auc:1
[21] eval-auc:0.685019 train-auc:1
[22] eval-auc:0.68437 train-auc:1
[23] eval-auc:0.68372 train-auc:1
[24] eval-auc:0.680877 train-auc:1
[25] eval-auc:0.679908 train-auc:1
[26] eval-auc:0.680073 train-auc:1
[27] eval-auc:0.679969 train-auc:1
[28] eval-auc:0.684413 train-auc:1
[29] eval-auc:0.68315 train-auc:1
[30] eval-auc:0.681244 train-auc:1
[31] eval-auc:0.68153 train-auc:1
[32] eval-auc:0.679167 train-auc:1
[33] eval-auc:0.678734 train-auc:1
[34] eval-auc:0.682276 train-auc:1
[35] eval-auc:0.683581 train-auc:1
[36] eval-auc:0.682986 train-auc:1
[37] eval-auc:0.682649 train-auc:1
[38] eval-auc:0.682537 train-auc:1
[39] eval-auc:0.685967 train-auc:1
[40] eval-auc:0.686479 train-auc:1
[41] eval-auc:0.687096 train-auc:1
[42] eval-auc:0.687026 train-auc:1
[43] eval-auc:0.687003 train-auc:1
[44] eval-auc:0.688331 train-auc:1
[45] eval-auc:0.688283 train-auc:1
[46] eval-auc:0.691093 train-auc:1
[47] eval-auc:0.69229 train-auc:1
[48] eval-auc:0.691582 train-auc:1
[49] eval-auc:0.691679 train-auc:1
[50] eval-auc:0.692759 train-auc:1
[51] eval-auc:0.692623 train-auc:1
[52] eval-auc:0.692835 train-auc:1
[53] eval-auc:0.692386 train-auc:1
[54] eval-auc:0.692672 train-auc:1
[55] eval-auc:0.69291 train-auc:1
[56] eval-auc:0.692664 train-auc:1
[57] eval-auc:0.693129 train-auc:1
[58] eval-auc:0.693164 train-auc:1
[59] eval-auc:0.693379 train-auc:1
[60] eval-auc:0.69345 train-auc:1
[61] eval-auc:0.69335 train-auc:1
[62] eval-auc:0.693601 train-auc:1
[63] eval-auc:0.693537 train-auc:1
[64] eval-auc:0.694269 train-auc:1
[65] eval-auc:0.694228 train-auc:1
[66] eval-auc:0.693953 train-auc:1
[67] eval-auc:0.694038 train-auc:1
[68] eval-auc:0.693848 train-auc:1
[69] eval-auc:0.6941 train-auc:1
[70] eval-auc:0.694391 train-auc:1
[71] eval-auc:0.69419 train-auc:1
[72] eval-auc:0.69419 train-auc:1
[73] eval-auc:0.693939 train-auc:1
[74] eval-auc:0.694049 train-auc:1
[75] eval-auc:0.694866 train-auc:1
[76] eval-auc:0.694866 train-auc:1
[77] eval-auc:0.694585 train-auc:1
[78] eval-auc:0.693886 train-auc:1
[79] eval-auc:0.69368 train-auc:1
[80] eval-auc:0.695114 train-auc:1
[81] eval-auc:0.695501 train-auc:1
[82] eval-auc:0.695501 train-auc:1
[83] eval-auc:0.695358 train-auc:1
[84] eval-auc:0.695359 train-auc:1
[85] eval-auc:0.695076 train-auc:1
[86] eval-auc:0.69498 train-auc:1
[87] eval-auc:0.694589 train-auc:1
[88] eval-auc:0.694164 train-auc:1
[89] eval-auc:0.694164 train-auc:1
[90] eval-auc:0.694164 train-auc:1
[91] eval-auc:0.694164 train-auc:1
[92] eval-auc:0.693972 train-auc:1
[93] eval-auc:0.694003 train-auc:1
[94] eval-auc:0.694003 train-auc:1
[95] eval-auc:0.694505 train-auc:1
[96] eval-auc:0.694505 train-auc:1
[97] eval-auc:0.694688 train-auc:1
[98] eval-auc:0.694438 train-auc:1
[99] eval-auc:0.694438 train-auc:1
[100] eval-auc:0.694409 train-auc:1
[101] eval-auc:0.694857 train-auc:1
[102] eval-auc:0.694228 train-auc:1
[103] eval-auc:0.694228 train-auc:1
[104] eval-auc:0.694597 train-auc:1
[105] eval-auc:0.694384 train-auc:1
[106] eval-auc:0.694408 train-auc:1
[107] eval-auc:0.693962 train-auc:1
[108] eval-auc:0.694626 train-auc:1
[109] eval-auc:0.694626 train-auc:1
[110] eval-auc:0.694029 train-auc:1
[111] eval-auc:0.694029 train-auc:1
[112] eval-auc:0.693805 train-auc:1
[113] eval-auc:0.693805 train-auc:1
[114] eval-auc:0.693714 train-auc:1
[115] eval-auc:0.694035 train-auc:1
[116] eval-auc:0.694432 train-auc:1
[117] eval-auc:0.694432 train-auc:1
[118] eval-auc:0.694432 train-auc:1
[119] eval-auc:0.694965 train-auc:1
[120] eval-auc:0.694965 train-auc:1
[121] eval-auc:0.694965 train-auc:1
[122] eval-auc:0.694965 train-auc:1
[123] eval-auc:0.694965 train-auc:1
[124] eval-auc:0.694965 train-auc:1
[125] eval-auc:0.695025 train-auc:1
[126] eval-auc:0.694717 train-auc:1
[127] eval-auc:0.694717 train-auc:1
[128] eval-auc:0.694717 train-auc:1
[129] eval-auc:0.694717 train-auc:1
[130] eval-auc:0.694493 train-auc:1
[131] eval-auc:0.694493 train-auc:1
[132] eval-auc:0.694493 train-auc:1
[133] eval-auc:0.694475 train-auc:1
[134] eval-auc:0.694475 train-auc:1
[135] eval-auc:0.694475 train-auc:1
[136] eval-auc:0.694388 train-auc:1
[137] eval-auc:0.694388 train-auc:1
[138] eval-auc:0.694388 train-auc:1
[139] eval-auc:0.694388 train-auc:1
[140] eval-auc:0.694388 train-auc:1
[141] eval-auc:0.694388 train-auc:1
[142] eval-auc:0.694388 train-auc:1
[143] eval-auc:0.694388 train-auc:1
[144] eval-auc:0.69499 train-auc:1
[145] eval-auc:0.69499 train-auc:1
[146] eval-auc:0.69499 train-auc:1
[147] eval-auc:0.69499 train-auc:1
[148] eval-auc:0.695125 train-auc:1
[149] eval-auc:0.695087 train-auc:1
[150] eval-auc:0.69666 train-auc:1
[151] eval-auc:0.69666 train-auc:1
[152] eval-auc:0.69666 train-auc:1
[153] eval-auc:0.69666 train-auc:1
[154] eval-auc:0.69666 train-auc:1
[155] eval-auc:0.69666 train-auc:1
[156] eval-auc:0.696164 train-auc:1
[157] eval-auc:0.696164 train-auc:1
[158] eval-auc:0.696164 train-auc:1
[159] eval-auc:0.696164 train-auc:1
[160] eval-auc:0.696164 train-auc:1
[161] eval-auc:0.696182 train-auc:1
[162] eval-auc:0.696007 train-auc:1
[163] eval-auc:0.69529 train-auc:1
[164] eval-auc:0.69529 train-auc:1
[165] eval-auc:0.69529 train-auc:1
[166] eval-auc:0.69529 train-auc:1
[167] eval-auc:0.695078 train-auc:1
[168] eval-auc:0.69505 train-auc:1
[169] eval-auc:0.695378 train-auc:1
[170] eval-auc:0.695378 train-auc:1
[171] eval-auc:0.695378 train-auc:1
[172] eval-auc:0.695378 train-auc:1
[173] eval-auc:0.695655 train-auc:1
[174] eval-auc:0.695655 train-auc:1
[175] eval-auc:0.695877 train-auc:1
[176] eval-auc:0.695529 train-auc:1
[177] eval-auc:0.695468 train-auc:1
[178] eval-auc:0.695372 train-auc:1
[179] eval-auc:0.695372 train-auc:1
[180] eval-auc:0.695372 train-auc:1
[181] eval-auc:0.695372 train-auc:1
[182] eval-auc:0.695372 train-auc:1
[183] eval-auc:0.695372 train-auc:1
[184] eval-auc:0.695372 train-auc:1
[185] eval-auc:0.69608 train-auc:1
[186] eval-auc:0.695888 train-auc:1
[187] eval-auc:0.695888 train-auc:1
[188] eval-auc:0.695888 train-auc:1
[189] eval-auc:0.695894 train-auc:1
[190] eval-auc:0.695894 train-auc:1
[191] eval-auc:0.695998 train-auc:1
[192] eval-auc:0.695998 train-auc:1
[193] eval-auc:0.695929 train-auc:1
[194] eval-auc:0.696007 train-auc:1
[195] eval-auc:0.696007 train-auc:1
[196] eval-auc:0.696007 train-auc:1
[197] eval-auc:0.696007 train-auc:1
[198] eval-auc:0.696007 train-auc:1
[199] eval-auc:0.696007 train-auc:1
[200] eval-auc:0.696007 train-auc:1
[201] eval-auc:0.696007 train-auc:1
[202] eval-auc:0.696007 train-auc:1
[203] eval-auc:0.696007 train-auc:1
[204] eval-auc:0.696007 train-auc:1
[205] eval-auc:0.696007 train-auc:1
[206] eval-auc:0.696007 train-auc:1
[207] eval-auc:0.696007 train-auc:1
[208] eval-auc:0.696007 train-auc:1
[209] eval-auc:0.696007 train-auc:1
[210] eval-auc:0.696007 train-auc:1
[211] eval-auc:0.696007 train-auc:1
[212] eval-auc:0.696007 train-auc:1
[213] eval-auc:0.695676 train-auc:1
[214] eval-auc:0.695676 train-auc:1
[215] eval-auc:0.695676 train-auc:1
[216] eval-auc:0.695676 train-auc:1
[217] eval-auc:0.695676 train-auc:1
[218] eval-auc:0.695676 train-auc:1
[219] eval-auc:0.695538 train-auc:1
[220] eval-auc:0.695538 train-auc:1
[221] eval-auc:0.695538 train-auc:1
[222] eval-auc:0.695786 train-auc:1
[223] eval-auc:0.695396 train-auc:1
[224] eval-auc:0.695396 train-auc:1
[225] eval-auc:0.695396 train-auc:1
[226] eval-auc:0.695396 train-auc:1
[227] eval-auc:0.695396 train-auc:1
[228] eval-auc:0.695396 train-auc:1
[229] eval-auc:0.695396 train-auc:1
[230] eval-auc:0.695396 train-auc:1
[231] eval-auc:0.695396 train-auc:1
[232] eval-auc:0.695396 train-auc:1
[233] eval-auc:0.695308 train-auc:1
[234] eval-auc:0.695308 train-auc:1
[235] eval-auc:0.695308 train-auc:1
[236] eval-auc:0.695431 train-auc:1
[237] eval-auc:0.695431 train-auc:1
[238] eval-auc:0.695431 train-auc:1
[239] eval-auc:0.695111 train-auc:1
[240] eval-auc:0.695111 train-auc:1
[241] eval-auc:0.695111 train-auc:1
[242] eval-auc:0.695111 train-auc:1
[243] eval-auc:0.695111 train-auc:1
[244] eval-auc:0.695111 train-auc:1
[245] eval-auc:0.695111 train-auc:1
[246] eval-auc:0.69495 train-auc:1
[247] eval-auc:0.69495 train-auc:1
[248] eval-auc:0.69495 train-auc:1
[249] eval-auc:0.69495 train-auc:1
[250] eval-auc:0.69495 train-auc:1
[251] eval-auc:0.69495 train-auc:1
[252] eval-auc:0.69495 train-auc:1
[253] eval-auc:0.69495 train-auc:1
[254] eval-auc:0.69495 train-auc:1
[255] eval-auc:0.69495 train-auc:1
[256] eval-auc:0.69495 train-auc:1
[257] eval-auc:0.69495 train-auc:1
[258] eval-auc:0.69495 train-auc:1
[259] eval-auc:0.69495 train-auc:1
[260] eval-auc:0.69495 train-auc:1
[261] eval-auc:0.694854 train-auc:1
[262] eval-auc:0.694854 train-auc:1
[263] eval-auc:0.694854 train-auc:1
[264] eval-auc:0.694854 train-auc:1
[265] eval-auc:0.694854 train-auc:1
[266] eval-auc:0.694854 train-auc:1
[267] eval-auc:0.695017 train-auc:1
[268] eval-auc:0.695017 train-auc:1
[269] eval-auc:0.695017 train-auc:1
[270] eval-auc:0.695017 train-auc:1
[271] eval-auc:0.695017 train-auc:1
[272] eval-auc:0.695017 train-auc:1
[273] eval-auc:0.695017 train-auc:1
[274] eval-auc:0.695017 train-auc:1
[275] eval-auc:0.695017 train-auc:1
[276] eval-auc:0.694953 train-auc:1
[277] eval-auc:0.694953 train-auc:1
[278] eval-auc:0.694953 train-auc:1
[279] eval-auc:0.694953 train-auc:1
[280] eval-auc:0.694519 train-auc:1
[281] eval-auc:0.694519 train-auc:1
[282] eval-auc:0.694519 train-auc:1
[283] eval-auc:0.694519 train-auc:1
[284] eval-auc:0.694519 train-auc:1
[285] eval-auc:0.694519 train-auc:1
[286] eval-auc:0.694451 train-auc:1
[287] eval-auc:0.694451 train-auc:1
[288] eval-auc:0.694451 train-auc:1
[289] eval-auc:0.694451 train-auc:1
Score 0.6944505353945108
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 1.0, 'eta': 0.1, 'eval_metric': 'auc', 'gamma': 0.9, 'max_depth': 1, 'min_child_weight': 1.0, 'n_estimators': 233.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.637627 train-auc:0.641495
[1] eval-auc:0.637627 train-auc:0.641495
[2] eval-auc:0.637627 train-auc:0.641495
[3] eval-auc:0.637627 train-auc:0.641495
[4] eval-auc:0.637627 train-auc:0.641495
[5] eval-auc:0.637627 train-auc:0.641495
[6] eval-auc:0.637627 train-auc:0.641495
[7] eval-auc:0.6691 train-auc:0.677286
[8] eval-auc:0.704578 train-auc:0.70064
[9] eval-auc:0.704578 train-auc:0.70064
[10] eval-auc:0.697034 train-auc:0.698654
[11] eval-auc:0.704578 train-auc:0.70064
[12] eval-auc:0.704578 train-auc:0.70064
[13] eval-auc:0.697034 train-auc:0.698654
[14] eval-auc:0.704578 train-auc:0.70064
[15] eval-auc:0.70419 train-auc:0.700915
[16] eval-auc:0.697144 train-auc:0.698895
[17] eval-auc:0.705646 train-auc:0.70112
[18] eval-auc:0.705646 train-auc:0.70112
[19] eval-auc:0.698684 train-auc:0.699204
[20] eval-auc:0.706719 train-auc:0.701365
[21] eval-auc:0.706719 train-auc:0.701365
[22] eval-auc:0.699923 train-auc:0.699606
[23] eval-auc:0.699835 train-auc:0.699586
[24] eval-auc:0.706719 train-auc:0.701365
[25] eval-auc:0.699923 train-auc:0.699606
[26] eval-auc:0.699923 train-auc:0.699606
[27] eval-auc:0.706719 train-auc:0.701365
[28] eval-auc:0.699923 train-auc:0.699606
[29] eval-auc:0.699923 train-auc:0.699606
[30] eval-auc:0.706716 train-auc:0.701362
[31] eval-auc:0.701132 train-auc:0.699246
[32] eval-auc:0.701132 train-auc:0.699246
[33] eval-auc:0.707928 train-auc:0.701005
[34] eval-auc:0.701132 train-auc:0.699246
[35] eval-auc:0.701132 train-auc:0.699246
[36] eval-auc:0.707925 train-auc:0.701002
[37] eval-auc:0.704336 train-auc:0.698726
[38] eval-auc:0.70683 train-auc:0.70161
[39] eval-auc:0.705048 train-auc:0.699361
[40] eval-auc:0.707076 train-auc:0.701428
[41] eval-auc:0.704801 train-auc:0.699542
[42] eval-auc:0.704461 train-auc:0.702558
[43] eval-auc:0.705885 train-auc:0.704475
[44] eval-auc:0.706255 train-auc:0.70403
[45] eval-auc:0.706798 train-auc:0.704359
[46] eval-auc:0.705346 train-auc:0.704145
[47] eval-auc:0.705582 train-auc:0.70419
[48] eval-auc:0.706045 train-auc:0.704484
[49] eval-auc:0.706029 train-auc:0.704486
[50] eval-auc:0.706599 train-auc:0.704442
[51] eval-auc:0.705474 train-auc:0.704173
[52] eval-auc:0.70595 train-auc:0.704476
[53] eval-auc:0.70559 train-auc:0.705524
[54] eval-auc:0.705975 train-auc:0.705153
[55] eval-auc:0.705579 train-auc:0.705431
[56] eval-auc:0.705273 train-auc:0.705473
[57] eval-auc:0.7054 train-auc:0.70551
[58] eval-auc:0.702892 train-auc:0.707743
[59] eval-auc:0.703142 train-auc:0.707766
[60] eval-auc:0.703888 train-auc:0.707871
[61] eval-auc:0.704197 train-auc:0.7085
[62] eval-auc:0.704188 train-auc:0.709036
[63] eval-auc:0.703106 train-auc:0.708582
[64] eval-auc:0.703359 train-auc:0.708717
[65] eval-auc:0.703764 train-auc:0.708842
[66] eval-auc:0.703864 train-auc:0.708774
[67] eval-auc:0.704644 train-auc:0.709157
[68] eval-auc:0.704274 train-auc:0.708991
[69] eval-auc:0.704759 train-auc:0.709498
[70] eval-auc:0.705838 train-auc:0.710691
[71] eval-auc:0.705046 train-auc:0.710293
[72] eval-auc:0.705316 train-auc:0.710416
[73] eval-auc:0.705456 train-auc:0.710675
[74] eval-auc:0.705659 train-auc:0.710832
[75] eval-auc:0.705962 train-auc:0.710876
[76] eval-auc:0.705867 train-auc:0.711007
[77] eval-auc:0.705981 train-auc:0.71113
[78] eval-auc:0.706029 train-auc:0.711316
[79] eval-auc:0.705385 train-auc:0.710895
[80] eval-auc:0.70545 train-auc:0.710942
[81] eval-auc:0.705858 train-auc:0.711292
[82] eval-auc:0.706036 train-auc:0.711522
[83] eval-auc:0.705905 train-auc:0.711341
[84] eval-auc:0.705946 train-auc:0.711285
[85] eval-auc:0.705788 train-auc:0.711305
[86] eval-auc:0.705942 train-auc:0.71139
[87] eval-auc:0.706045 train-auc:0.711553
[88] eval-auc:0.70591 train-auc:0.711679
[89] eval-auc:0.705811 train-auc:0.711794
[90] eval-auc:0.705439 train-auc:0.711894
[91] eval-auc:0.7056 train-auc:0.711973
[92] eval-auc:0.705746 train-auc:0.71205
[93] eval-auc:0.705859 train-auc:0.712205
[94] eval-auc:0.706048 train-auc:0.71233
[95] eval-auc:0.706093 train-auc:0.712563
[96] eval-auc:0.705784 train-auc:0.71244
[97] eval-auc:0.70583 train-auc:0.712495
[98] eval-auc:0.706002 train-auc:0.712377
[99] eval-auc:0.705841 train-auc:0.712413
[100] eval-auc:0.705897 train-auc:0.712444
[101] eval-auc:0.705621 train-auc:0.712645
[102] eval-auc:0.705737 train-auc:0.712852
[103] eval-auc:0.705921 train-auc:0.712951
[104] eval-auc:0.705775 train-auc:0.712932
[105] eval-auc:0.705292 train-auc:0.712729
[106] eval-auc:0.705795 train-auc:0.712708
[107] eval-auc:0.705752 train-auc:0.712794
[108] eval-auc:0.705956 train-auc:0.713351
[109] eval-auc:0.706121 train-auc:0.713678
[110] eval-auc:0.706162 train-auc:0.71373
[111] eval-auc:0.706463 train-auc:0.713943
[112] eval-auc:0.706113 train-auc:0.714044
[113] eval-auc:0.705972 train-auc:0.713979
[114] eval-auc:0.706055 train-auc:0.714206
[115] eval-auc:0.705917 train-auc:0.714006
[116] eval-auc:0.705938 train-auc:0.714068
[117] eval-auc:0.705968 train-auc:0.714125
[118] eval-auc:0.705567 train-auc:0.714274
[119] eval-auc:0.706118 train-auc:0.714709
[120] eval-auc:0.705763 train-auc:0.714559
[121] eval-auc:0.705955 train-auc:0.71463
[122] eval-auc:0.705504 train-auc:0.714457
[123] eval-auc:0.705993 train-auc:0.71471
[124] eval-auc:0.705958 train-auc:0.714735
[125] eval-auc:0.706422 train-auc:0.715023
[126] eval-auc:0.706572 train-auc:0.715071
[127] eval-auc:0.706395 train-auc:0.714899
[128] eval-auc:0.706279 train-auc:0.714921
[129] eval-auc:0.706289 train-auc:0.714929
[130] eval-auc:0.706262 train-auc:0.714988
[131] eval-auc:0.706207 train-auc:0.715082
[132] eval-auc:0.706271 train-auc:0.715126
[133] eval-auc:0.70561 train-auc:0.715253
[134] eval-auc:0.705965 train-auc:0.715481
[135] eval-auc:0.705994 train-auc:0.71546
[136] eval-auc:0.70617 train-auc:0.715499
[137] eval-auc:0.705991 train-auc:0.715469
[138] eval-auc:0.705738 train-auc:0.715375
[139] eval-auc:0.705724 train-auc:0.71561
[140] eval-auc:0.705828 train-auc:0.715683
[141] eval-auc:0.705901 train-auc:0.715746
[142] eval-auc:0.705509 train-auc:0.715899
[143] eval-auc:0.705637 train-auc:0.715884
[144] eval-auc:0.706013 train-auc:0.71606
[145] eval-auc:0.705661 train-auc:0.71609
[146] eval-auc:0.705774 train-auc:0.716107
[147] eval-auc:0.705731 train-auc:0.716141
[148] eval-auc:0.705273 train-auc:0.716223
[149] eval-auc:0.705228 train-auc:0.716188
[150] eval-auc:0.705218 train-auc:0.716195
[151] eval-auc:0.705306 train-auc:0.716275
[152] eval-auc:0.704959 train-auc:0.716425
[153] eval-auc:0.705072 train-auc:0.716484
[154] eval-auc:0.704906 train-auc:0.716402
[155] eval-auc:0.704814 train-auc:0.716496
[156] eval-auc:0.70489 train-auc:0.716486
[157] eval-auc:0.704818 train-auc:0.716667
[158] eval-auc:0.704884 train-auc:0.716636
[159] eval-auc:0.704677 train-auc:0.716735
[160] eval-auc:0.704597 train-auc:0.716815
[161] eval-auc:0.704325 train-auc:0.716813
[162] eval-auc:0.70436 train-auc:0.716975
[163] eval-auc:0.70459 train-auc:0.717054
[164] eval-auc:0.704612 train-auc:0.717279
[165] eval-auc:0.7046 train-auc:0.717226
[166] eval-auc:0.704729 train-auc:0.71727
[167] eval-auc:0.704392 train-auc:0.717283
[168] eval-auc:0.704651 train-auc:0.717452
[169] eval-auc:0.704783 train-auc:0.717508
[170] eval-auc:0.704926 train-auc:0.71746
[171] eval-auc:0.704925 train-auc:0.7177
[172] eval-auc:0.704902 train-auc:0.717601
[173] eval-auc:0.704529 train-auc:0.717693
[174] eval-auc:0.704642 train-auc:0.717784
[175] eval-auc:0.704612 train-auc:0.71778
[176] eval-auc:0.704152 train-auc:0.717854
[177] eval-auc:0.704199 train-auc:0.717816
[178] eval-auc:0.704304 train-auc:0.71802
[179] eval-auc:0.704333 train-auc:0.717974
[180] eval-auc:0.704058 train-auc:0.717975
[181] eval-auc:0.703992 train-auc:0.718053
[182] eval-auc:0.703945 train-auc:0.718058
[183] eval-auc:0.703873 train-auc:0.718081
[184] eval-auc:0.703925 train-auc:0.718079
[185] eval-auc:0.703666 train-auc:0.718186
[186] eval-auc:0.70378 train-auc:0.718206
[187] eval-auc:0.703809 train-auc:0.718214
[188] eval-auc:0.703832 train-auc:0.718382
[189] eval-auc:0.70392 train-auc:0.718515
[190] eval-auc:0.704027 train-auc:0.718551
[191] eval-auc:0.703954 train-auc:0.71858
[192] eval-auc:0.703677 train-auc:0.718679
[193] eval-auc:0.703646 train-auc:0.718709
[194] eval-auc:0.703587 train-auc:0.718619
[195] eval-auc:0.703616 train-auc:0.718621
[196] eval-auc:0.703665 train-auc:0.718663
[197] eval-auc:0.703684 train-auc:0.71873
[198] eval-auc:0.703605 train-auc:0.718819
[199] eval-auc:0.703735 train-auc:0.718871
[200] eval-auc:0.703671 train-auc:0.718916
[201] eval-auc:0.703698 train-auc:0.719016
[202] eval-auc:0.7038 train-auc:0.718986
[203] eval-auc:0.703808 train-auc:0.718992
[204] eval-auc:0.704054 train-auc:0.719184
[205] eval-auc:0.703818 train-auc:0.719257
[206] eval-auc:0.703761 train-auc:0.719231
[207] eval-auc:0.703849 train-auc:0.719267
[208] eval-auc:0.703927 train-auc:0.719288
[209] eval-auc:0.703875 train-auc:0.719276
[210] eval-auc:0.70396 train-auc:0.719385
[211] eval-auc:0.703995 train-auc:0.719398
[212] eval-auc:0.703722 train-auc:0.719458
[213] eval-auc:0.70387 train-auc:0.71949
[214] eval-auc:0.703817 train-auc:0.719418
[215] eval-auc:0.703815 train-auc:0.719425
[216] eval-auc:0.703846 train-auc:0.719465
[217] eval-auc:0.703853 train-auc:0.7196
[218] eval-auc:0.703654 train-auc:0.719664
[219] eval-auc:0.703628 train-auc:0.719684
[220] eval-auc:0.703538 train-auc:0.719657
[221] eval-auc:0.703377 train-auc:0.71971
[222] eval-auc:0.703351 train-auc:0.719748
[223] eval-auc:0.703479 train-auc:0.719816
[224] eval-auc:0.703469 train-auc:0.719837
[225] eval-auc:0.703481 train-auc:0.71989
[226] eval-auc:0.703562 train-auc:0.719898
[227] eval-auc:0.70358 train-auc:0.719937
[228] eval-auc:0.703568 train-auc:0.719949
[229] eval-auc:0.703586 train-auc:0.72006
[230] eval-auc:0.70343 train-auc:0.720119
[231] eval-auc:0.703425 train-auc:0.72012
[232] eval-auc:0.703451 train-auc:0.7201
Score 0.7034506754863623
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9500000000000001, 'eta': 0.07500000000000001, 'eval_metric': 'auc', 'gamma': 0.9500000000000001, 'max_depth': 3, 'min_child_weight': 2.0, 'n_estimators': 153.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.706179 train-auc:0.721587
[1] eval-auc:0.69997 train-auc:0.72416
[2] eval-auc:0.69808 train-auc:0.732932
[3] eval-auc:0.699358 train-auc:0.733801
[4] eval-auc:0.699587 train-auc:0.734684
[5] eval-auc:0.696914 train-auc:0.741503
[6] eval-auc:0.696083 train-auc:0.740805
[7] eval-auc:0.696111 train-auc:0.741799
[8] eval-auc:0.700156 train-auc:0.745664
[9] eval-auc:0.701814 train-auc:0.744429
[10] eval-auc:0.704737 train-auc:0.746938
[11] eval-auc:0.706514 train-auc:0.749805
[12] eval-auc:0.705855 train-auc:0.752337
[13] eval-auc:0.706897 train-auc:0.750479
[14] eval-auc:0.704882 train-auc:0.750312
[15] eval-auc:0.706508 train-auc:0.752783
[16] eval-auc:0.705222 train-auc:0.755192
[17] eval-auc:0.704058 train-auc:0.757038
[18] eval-auc:0.703915 train-auc:0.758831
[19] eval-auc:0.703421 train-auc:0.760305
[20] eval-auc:0.703858 train-auc:0.759777
[21] eval-auc:0.704448 train-auc:0.761106
[22] eval-auc:0.706054 train-auc:0.761933
[23] eval-auc:0.707818 train-auc:0.763816
[24] eval-auc:0.709195 train-auc:0.76583
[25] eval-auc:0.710622 train-auc:0.767485
[26] eval-auc:0.710418 train-auc:0.769315
[27] eval-auc:0.710095 train-auc:0.770788
[28] eval-auc:0.709654 train-auc:0.770547
[29] eval-auc:0.710595 train-auc:0.771637
[30] eval-auc:0.710426 train-auc:0.773704
[31] eval-auc:0.709953 train-auc:0.775518
[32] eval-auc:0.709654 train-auc:0.776586
[33] eval-auc:0.710377 train-auc:0.778057
[34] eval-auc:0.709363 train-auc:0.780415
[35] eval-auc:0.710133 train-auc:0.780099
[36] eval-auc:0.710576 train-auc:0.782938
[37] eval-auc:0.711489 train-auc:0.783762
[38] eval-auc:0.711555 train-auc:0.784237
[39] eval-auc:0.712357 train-auc:0.78648
[40] eval-auc:0.711884 train-auc:0.788038
[41] eval-auc:0.712254 train-auc:0.788758
[42] eval-auc:0.712562 train-auc:0.789858
[43] eval-auc:0.712222 train-auc:0.792868
[44] eval-auc:0.713221 train-auc:0.793984
[45] eval-auc:0.713683 train-auc:0.795692
[46] eval-auc:0.713252 train-auc:0.797672
[47] eval-auc:0.713489 train-auc:0.79824
[48] eval-auc:0.713151 train-auc:0.799921
[49] eval-auc:0.713355 train-auc:0.799688
[50] eval-auc:0.712882 train-auc:0.799946
[51] eval-auc:0.712591 train-auc:0.800649
[52] eval-auc:0.71249 train-auc:0.800916
[53] eval-auc:0.713042 train-auc:0.804466
[54] eval-auc:0.71403 train-auc:0.805816
[55] eval-auc:0.714414 train-auc:0.806287
[56] eval-auc:0.714391 train-auc:0.806016
[57] eval-auc:0.714729 train-auc:0.806437
[58] eval-auc:0.713279 train-auc:0.807178
[59] eval-auc:0.713767 train-auc:0.809586
[60] eval-auc:0.712759 train-auc:0.81128
[61] eval-auc:0.712063 train-auc:0.812527
[62] eval-auc:0.712426 train-auc:0.812541
[63] eval-auc:0.712259 train-auc:0.813385
[64] eval-auc:0.712064 train-auc:0.813571
[65] eval-auc:0.712271 train-auc:0.813607
[66] eval-auc:0.71286 train-auc:0.815138
[67] eval-auc:0.712902 train-auc:0.815498
[68] eval-auc:0.713077 train-auc:0.81539
[69] eval-auc:0.713383 train-auc:0.81697
[70] eval-auc:0.713494 train-auc:0.81791
[71] eval-auc:0.713206 train-auc:0.819266
[72] eval-auc:0.712526 train-auc:0.820042
[73] eval-auc:0.713486 train-auc:0.822161
[74] eval-auc:0.713551 train-auc:0.823238
[75] eval-auc:0.713348 train-auc:0.823416
[76] eval-auc:0.713397 train-auc:0.8236
[77] eval-auc:0.712104 train-auc:0.823992
[78] eval-auc:0.713242 train-auc:0.825079
[79] eval-auc:0.713971 train-auc:0.825992
[80] eval-auc:0.714442 train-auc:0.827558
[81] eval-auc:0.7142 train-auc:0.829133
[82] eval-auc:0.713679 train-auc:0.830765
[83] eval-auc:0.712945 train-auc:0.831622
[84] eval-auc:0.71266 train-auc:0.832762
[85] eval-auc:0.713411 train-auc:0.83485
[86] eval-auc:0.713859 train-auc:0.83527
[87] eval-auc:0.714051 train-auc:0.835343
[88] eval-auc:0.714141 train-auc:0.836041
[89] eval-auc:0.713381 train-auc:0.836352
[90] eval-auc:0.713447 train-auc:0.836379
[91] eval-auc:0.71332 train-auc:0.836903
[92] eval-auc:0.712809 train-auc:0.83793
[93] eval-auc:0.712288 train-auc:0.838441
[94] eval-auc:0.7127 train-auc:0.839224
[95] eval-auc:0.712248 train-auc:0.839556
[96] eval-auc:0.712123 train-auc:0.839949
[97] eval-auc:0.711845 train-auc:0.840679
[98] eval-auc:0.712209 train-auc:0.842167
[99] eval-auc:0.712271 train-auc:0.842181
[100] eval-auc:0.712292 train-auc:0.842349
[101] eval-auc:0.712485 train-auc:0.842942
[102] eval-auc:0.712758 train-auc:0.844403
[103] eval-auc:0.713445 train-auc:0.844896
[104] eval-auc:0.713331 train-auc:0.845295
[105] eval-auc:0.712353 train-auc:0.846064
[106] eval-auc:0.712357 train-auc:0.84618
[107] eval-auc:0.712214 train-auc:0.846664
[108] eval-auc:0.711719 train-auc:0.847799
[109] eval-auc:0.711299 train-auc:0.84849
[110] eval-auc:0.711028 train-auc:0.848761
[111] eval-auc:0.710894 train-auc:0.848993
[112] eval-auc:0.711016 train-auc:0.850112
[113] eval-auc:0.711375 train-auc:0.850824
[114] eval-auc:0.71206 train-auc:0.85187
[115] eval-auc:0.71138 train-auc:0.852522
[116] eval-auc:0.710886 train-auc:0.852871
[117] eval-auc:0.710466 train-auc:0.853455
[118] eval-auc:0.710234 train-auc:0.854268
[119] eval-auc:0.70997 train-auc:0.854417
[120] eval-auc:0.711476 train-auc:0.85548
[121] eval-auc:0.711163 train-auc:0.856176
[122] eval-auc:0.711467 train-auc:0.857351
[123] eval-auc:0.711431 train-auc:0.857763
[124] eval-auc:0.711295 train-auc:0.858554
[125] eval-auc:0.711265 train-auc:0.858986
[126] eval-auc:0.712379 train-auc:0.859861
[127] eval-auc:0.712201 train-auc:0.860351
[128] eval-auc:0.712486 train-auc:0.860909
[129] eval-auc:0.712361 train-auc:0.861955
[130] eval-auc:0.712719 train-auc:0.862479
[131] eval-auc:0.712967 train-auc:0.8636
[132] eval-auc:0.71306 train-auc:0.864116
[133] eval-auc:0.712155 train-auc:0.864371
[134] eval-auc:0.712282 train-auc:0.865563
[135] eval-auc:0.712626 train-auc:0.865971
[136] eval-auc:0.712361 train-auc:0.866063
[137] eval-auc:0.711406 train-auc:0.867427
[138] eval-auc:0.712769 train-auc:0.867858
[139] eval-auc:0.712588 train-auc:0.868203
[140] eval-auc:0.712679 train-auc:0.868234
[141] eval-auc:0.712847 train-auc:0.868844
[142] eval-auc:0.712533 train-auc:0.869461
[143] eval-auc:0.712474 train-auc:0.870339
[144] eval-auc:0.712755 train-auc:0.871321
[145] eval-auc:0.712434 train-auc:0.871787
[146] eval-auc:0.712253 train-auc:0.872381
[147] eval-auc:0.712256 train-auc:0.872712
[148] eval-auc:0.712129 train-auc:0.872837
[149] eval-auc:0.711747 train-auc:0.873428
[150] eval-auc:0.711561 train-auc:0.874159
[151] eval-auc:0.711685 train-auc:0.874755
[152] eval-auc:0.711982 train-auc:0.874592
Score 0.7119818124231018
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8500000000000001, 'eta': 0.07500000000000001, 'eval_metric': 'auc', 'gamma': 1.0, 'max_depth': 3, 'min_child_weight': 1.0, 'n_estimators': 102.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9, 'tree_method': 'exact'}
[0] eval-auc:0.709213 train-auc:0.719387
[1] eval-auc:0.694776 train-auc:0.727936
[2] eval-auc:0.697765 train-auc:0.73018
[3] eval-auc:0.699652 train-auc:0.735206
[4] eval-auc:0.701913 train-auc:0.735448
[5] eval-auc:0.699921 train-auc:0.739712
[6] eval-auc:0.697816 train-auc:0.74113
[7] eval-auc:0.697875 train-auc:0.741967
[8] eval-auc:0.702326 train-auc:0.744212
[9] eval-auc:0.70558 train-auc:0.744508
[10] eval-auc:0.705455 train-auc:0.746146
[11] eval-auc:0.705795 train-auc:0.752259
[12] eval-auc:0.702826 train-auc:0.750289
[13] eval-auc:0.702724 train-auc:0.749204
[14] eval-auc:0.702488 train-auc:0.748039
[15] eval-auc:0.70232 train-auc:0.750841
[16] eval-auc:0.701522 train-auc:0.752149
[17] eval-auc:0.700918 train-auc:0.756043
[18] eval-auc:0.699193 train-auc:0.75709
[19] eval-auc:0.699029 train-auc:0.757815
[20] eval-auc:0.700116 train-auc:0.75632
[21] eval-auc:0.699865 train-auc:0.759243
[22] eval-auc:0.699175 train-auc:0.760859
[23] eval-auc:0.700251 train-auc:0.763607
[24] eval-auc:0.700981 train-auc:0.765783
[25] eval-auc:0.700793 train-auc:0.767367
[26] eval-auc:0.699992 train-auc:0.768798
[27] eval-auc:0.700736 train-auc:0.771026
[28] eval-auc:0.701588 train-auc:0.770298
[29] eval-auc:0.702334 train-auc:0.7712
[30] eval-auc:0.701213 train-auc:0.773196
[31] eval-auc:0.701508 train-auc:0.775106
[32] eval-auc:0.702305 train-auc:0.774911
[33] eval-auc:0.702281 train-auc:0.777382
[34] eval-auc:0.702258 train-auc:0.779523
[35] eval-auc:0.703767 train-auc:0.780967
[36] eval-auc:0.704404 train-auc:0.782921
[37] eval-auc:0.705208 train-auc:0.78425
[38] eval-auc:0.705678 train-auc:0.785387
[39] eval-auc:0.70563 train-auc:0.786265
[40] eval-auc:0.705802 train-auc:0.787856
[41] eval-auc:0.706074 train-auc:0.787929
[42] eval-auc:0.706027 train-auc:0.788827
[43] eval-auc:0.706005 train-auc:0.791306
[44] eval-auc:0.706715 train-auc:0.791898
[45] eval-auc:0.707104 train-auc:0.792924
[46] eval-auc:0.707774 train-auc:0.793334
[47] eval-auc:0.707663 train-auc:0.793577
[48] eval-auc:0.707919 train-auc:0.793711
[49] eval-auc:0.707377 train-auc:0.794235
[50] eval-auc:0.707592 train-auc:0.794561
[51] eval-auc:0.707116 train-auc:0.796253
[52] eval-auc:0.708665 train-auc:0.797882
[53] eval-auc:0.709226 train-auc:0.801001
[54] eval-auc:0.709535 train-auc:0.80163
[55] eval-auc:0.70959 train-auc:0.802214
[56] eval-auc:0.709524 train-auc:0.802016
[57] eval-auc:0.708787 train-auc:0.802429
[58] eval-auc:0.707756 train-auc:0.804095
[59] eval-auc:0.709116 train-auc:0.80752
[60] eval-auc:0.709836 train-auc:0.807589
[61] eval-auc:0.710177 train-auc:0.808044
[62] eval-auc:0.710488 train-auc:0.808265
[63] eval-auc:0.709581 train-auc:0.809548
[64] eval-auc:0.709371 train-auc:0.811086
[65] eval-auc:0.709446 train-auc:0.811073
[66] eval-auc:0.70956 train-auc:0.813375
[67] eval-auc:0.709679 train-auc:0.813734
[68] eval-auc:0.709888 train-auc:0.814519
[69] eval-auc:0.709603 train-auc:0.815898
[70] eval-auc:0.709285 train-auc:0.817575
[71] eval-auc:0.709122 train-auc:0.818027
[72] eval-auc:0.70857 train-auc:0.820706
[73] eval-auc:0.709115 train-auc:0.821235
[74] eval-auc:0.709051 train-auc:0.821561
[75] eval-auc:0.709159 train-auc:0.822052
[76] eval-auc:0.709956 train-auc:0.823155
[77] eval-auc:0.709698 train-auc:0.824255
[78] eval-auc:0.71056 train-auc:0.82622
[79] eval-auc:0.711621 train-auc:0.827026
[80] eval-auc:0.712256 train-auc:0.828492
[81] eval-auc:0.711992 train-auc:0.829857
[82] eval-auc:0.711807 train-auc:0.831516
[83] eval-auc:0.712311 train-auc:0.830482
[84] eval-auc:0.712994 train-auc:0.831905
[85] eval-auc:0.712898 train-auc:0.832139
[86] eval-auc:0.712133 train-auc:0.83322
[87] eval-auc:0.712198 train-auc:0.834677
[88] eval-auc:0.712266 train-auc:0.835574
[89] eval-auc:0.71332 train-auc:0.836647
[90] eval-auc:0.713082 train-auc:0.836757
[91] eval-auc:0.71299 train-auc:0.836602
[92] eval-auc:0.712433 train-auc:0.838255
[93] eval-auc:0.712766 train-auc:0.838547
[94] eval-auc:0.712684 train-auc:0.838776
[95] eval-auc:0.713369 train-auc:0.839545
[96] eval-auc:0.713483 train-auc:0.839748
[97] eval-auc:0.713535 train-auc:0.840263
[98] eval-auc:0.712792 train-auc:0.841515
[99] eval-auc:0.712903 train-auc:0.842627
[100] eval-auc:0.712912 train-auc:0.84277
[101] eval-auc:0.713494 train-auc:0.843372
Score 0.7134938907770834
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8500000000000001, 'eta': 0.42500000000000004, 'eval_metric': 'auc', 'gamma': 0.9, 'max_depth': 3, 'min_child_weight': 1.0, 'n_estimators': 143.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9, 'tree_method': 'exact'}
[0] eval-auc:0.709213 train-auc:0.719387
[1] eval-auc:0.703427 train-auc:0.732031
[2] eval-auc:0.701974 train-auc:0.739642
[3] eval-auc:0.705277 train-auc:0.746692
[4] eval-auc:0.705423 train-auc:0.753669
[5] eval-auc:0.706832 train-auc:0.76371
[6] eval-auc:0.714867 train-auc:0.771132
[7] eval-auc:0.722233 train-auc:0.778058
[8] eval-auc:0.718992 train-auc:0.787248
[9] eval-auc:0.719268 train-auc:0.788224
[10] eval-auc:0.715368 train-auc:0.794443
[11] eval-auc:0.715398 train-auc:0.795876
[12] eval-auc:0.717327 train-auc:0.805901
[13] eval-auc:0.715693 train-auc:0.808708
[14] eval-auc:0.715912 train-auc:0.812042
[15] eval-auc:0.713975 train-auc:0.814564
[16] eval-auc:0.71243 train-auc:0.816739
[17] eval-auc:0.712983 train-auc:0.820913
[18] eval-auc:0.708843 train-auc:0.824203
[19] eval-auc:0.707979 train-auc:0.827626
[20] eval-auc:0.707137 train-auc:0.831753
[21] eval-auc:0.70701 train-auc:0.835487
[22] eval-auc:0.704239 train-auc:0.838836
[23] eval-auc:0.704432 train-auc:0.839075
[24] eval-auc:0.704345 train-auc:0.843256
[25] eval-auc:0.702553 train-auc:0.848548
[26] eval-auc:0.700441 train-auc:0.852795
[27] eval-auc:0.701987 train-auc:0.853989
[28] eval-auc:0.703735 train-auc:0.856465
[29] eval-auc:0.700051 train-auc:0.858816
[30] eval-auc:0.699523 train-auc:0.860111
[31] eval-auc:0.699387 train-auc:0.861886
[32] eval-auc:0.699821 train-auc:0.864885
[33] eval-auc:0.702263 train-auc:0.866051
[34] eval-auc:0.699434 train-auc:0.869149
[35] eval-auc:0.700251 train-auc:0.871258
[36] eval-auc:0.701085 train-auc:0.874928
[37] eval-auc:0.701792 train-auc:0.877178
[38] eval-auc:0.70179 train-auc:0.879396
[39] eval-auc:0.700937 train-auc:0.880901
[40] eval-auc:0.700068 train-auc:0.883321
[41] eval-auc:0.698834 train-auc:0.883404
[42] eval-auc:0.698772 train-auc:0.885992
[43] eval-auc:0.69874 train-auc:0.886468
[44] eval-auc:0.698646 train-auc:0.888731
[45] eval-auc:0.699951 train-auc:0.890909
[46] eval-auc:0.699089 train-auc:0.893329
[47] eval-auc:0.70052 train-auc:0.894705
[48] eval-auc:0.700503 train-auc:0.894915
[49] eval-auc:0.701081 train-auc:0.897564
[50] eval-auc:0.701586 train-auc:0.898287
[51] eval-auc:0.70086 train-auc:0.899985
[52] eval-auc:0.7028 train-auc:0.901682
[53] eval-auc:0.705323 train-auc:0.903523
[54] eval-auc:0.705321 train-auc:0.905633
[55] eval-auc:0.703799 train-auc:0.90732
[56] eval-auc:0.703063 train-auc:0.908372
[57] eval-auc:0.702474 train-auc:0.908622
[58] eval-auc:0.700875 train-auc:0.909149
[59] eval-auc:0.700866 train-auc:0.909428
[60] eval-auc:0.699887 train-auc:0.911681
[61] eval-auc:0.699196 train-auc:0.913161
[62] eval-auc:0.700348 train-auc:0.91342
[63] eval-auc:0.70098 train-auc:0.914837
[64] eval-auc:0.700788 train-auc:0.917281
[65] eval-auc:0.701444 train-auc:0.917465
[66] eval-auc:0.701335 train-auc:0.918749
[67] eval-auc:0.701228 train-auc:0.918999
[68] eval-auc:0.701935 train-auc:0.919583
[69] eval-auc:0.702238 train-auc:0.919774
[70] eval-auc:0.702486 train-auc:0.920518
[71] eval-auc:0.701661 train-auc:0.921363
[72] eval-auc:0.701009 train-auc:0.921769
[73] eval-auc:0.700931 train-auc:0.92271
[74] eval-auc:0.701306 train-auc:0.923347
[75] eval-auc:0.700645 train-auc:0.92414
[76] eval-auc:0.701441 train-auc:0.924745
[77] eval-auc:0.699335 train-auc:0.925398
[78] eval-auc:0.699396 train-auc:0.926046
[79] eval-auc:0.700517 train-auc:0.926346
[80] eval-auc:0.699989 train-auc:0.927262
[81] eval-auc:0.700357 train-auc:0.928259
[82] eval-auc:0.70052 train-auc:0.929298
[83] eval-auc:0.700604 train-auc:0.928946
[84] eval-auc:0.70118 train-auc:0.930319
[85] eval-auc:0.701537 train-auc:0.931794
[86] eval-auc:0.703576 train-auc:0.932908
[87] eval-auc:0.703325 train-auc:0.933747
[88] eval-auc:0.702839 train-auc:0.933871
[89] eval-auc:0.703456 train-auc:0.935031
[90] eval-auc:0.701665 train-auc:0.935653
[91] eval-auc:0.699492 train-auc:0.93582
[92] eval-auc:0.698583 train-auc:0.937711
[93] eval-auc:0.699882 train-auc:0.938519
[94] eval-auc:0.698938 train-auc:0.939887
[95] eval-auc:0.703118 train-auc:0.940255
[96] eval-auc:0.703276 train-auc:0.940411
[97] eval-auc:0.703375 train-auc:0.940951
[98] eval-auc:0.703506 train-auc:0.94163
[99] eval-auc:0.703091 train-auc:0.942223
[100] eval-auc:0.703939 train-auc:0.942549
[101] eval-auc:0.703946 train-auc:0.942756
[102] eval-auc:0.704027 train-auc:0.943443
[103] eval-auc:0.705075 train-auc:0.944641
[104] eval-auc:0.705874 train-auc:0.945292
[105] eval-auc:0.706383 train-auc:0.946446
[106] eval-auc:0.705576 train-auc:0.947217
[107] eval-auc:0.705393 train-auc:0.947804
[108] eval-auc:0.70512 train-auc:0.948545
[109] eval-auc:0.70449 train-auc:0.94929
[110] eval-auc:0.705063 train-auc:0.949534
[111] eval-auc:0.704849 train-auc:0.950391
[112] eval-auc:0.705688 train-auc:0.950954
[113] eval-auc:0.705433 train-auc:0.951135
[114] eval-auc:0.706514 train-auc:0.951991
[115] eval-auc:0.707555 train-auc:0.953022
[116] eval-auc:0.707729 train-auc:0.953268
[117] eval-auc:0.707321 train-auc:0.954139
[118] eval-auc:0.707238 train-auc:0.954625
[119] eval-auc:0.706468 train-auc:0.955337
[120] eval-auc:0.705471 train-auc:0.9556
[121] eval-auc:0.70566 train-auc:0.956325
[122] eval-auc:0.706286 train-auc:0.957665
[123] eval-auc:0.70572 train-auc:0.957955
[124] eval-auc:0.706393 train-auc:0.958793
[125] eval-auc:0.707934 train-auc:0.959713
[126] eval-auc:0.707706 train-auc:0.960353
[127] eval-auc:0.708521 train-auc:0.961152
[128] eval-auc:0.707627 train-auc:0.961886
[129] eval-auc:0.70738 train-auc:0.962108
[130] eval-auc:0.708684 train-auc:0.962401
[131] eval-auc:0.708486 train-auc:0.962856
[132] eval-auc:0.708483 train-auc:0.963313
[133] eval-auc:0.708242 train-auc:0.963589
[134] eval-auc:0.708114 train-auc:0.963996
[135] eval-auc:0.705793 train-auc:0.964606
[136] eval-auc:0.705236 train-auc:0.964354
[137] eval-auc:0.704426 train-auc:0.96501
[138] eval-auc:0.70496 train-auc:0.965108
[139] eval-auc:0.705935 train-auc:0.965297
[140] eval-auc:0.70424 train-auc:0.966059
[141] eval-auc:0.704359 train-auc:0.966083
[142] eval-auc:0.701562 train-auc:0.966335
Score 0.7015617195970227
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8500000000000001, 'eta': 0.05, 'eval_metric': 'auc', 'gamma': 0.9500000000000001, 'max_depth': 3, 'min_child_weight': 1.0, 'n_estimators': 115.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9, 'tree_method': 'exact'}
[0] eval-auc:0.709213 train-auc:0.719387
[1] eval-auc:0.694776 train-auc:0.727936
[2] eval-auc:0.698884 train-auc:0.729071
[3] eval-auc:0.698281 train-auc:0.732545
[4] eval-auc:0.701269 train-auc:0.734383
[5] eval-auc:0.692622 train-auc:0.740709
[6] eval-auc:0.690651 train-auc:0.740716
[7] eval-auc:0.691983 train-auc:0.742816
[8] eval-auc:0.6947 train-auc:0.743738
[9] eval-auc:0.700091 train-auc:0.741069
[10] eval-auc:0.700034 train-auc:0.741803
[11] eval-auc:0.700682 train-auc:0.748541
[12] eval-auc:0.699536 train-auc:0.744646
[13] eval-auc:0.701801 train-auc:0.745224
[14] eval-auc:0.701344 train-auc:0.743994
[15] eval-auc:0.700732 train-auc:0.746238
[16] eval-auc:0.699667 train-auc:0.748369
[17] eval-auc:0.69873 train-auc:0.749924
[18] eval-auc:0.697896 train-auc:0.752576
[19] eval-auc:0.698008 train-auc:0.752594
[20] eval-auc:0.698566 train-auc:0.750265
[21] eval-auc:0.698135 train-auc:0.753051
[22] eval-auc:0.699485 train-auc:0.754136
[23] eval-auc:0.699826 train-auc:0.755871
[24] eval-auc:0.70069 train-auc:0.757737
[25] eval-auc:0.700529 train-auc:0.759525
[26] eval-auc:0.699028 train-auc:0.760838
[27] eval-auc:0.699556 train-auc:0.762679
[28] eval-auc:0.699533 train-auc:0.761058
[29] eval-auc:0.699854 train-auc:0.761825
[30] eval-auc:0.699572 train-auc:0.763282
[31] eval-auc:0.700117 train-auc:0.764486
[32] eval-auc:0.701691 train-auc:0.766252
[33] eval-auc:0.701151 train-auc:0.766633
[34] eval-auc:0.701135 train-auc:0.768968
[35] eval-auc:0.70199 train-auc:0.769395
[36] eval-auc:0.701831 train-auc:0.771032
[37] eval-auc:0.701729 train-auc:0.770791
[38] eval-auc:0.702465 train-auc:0.77059
[39] eval-auc:0.70229 train-auc:0.770942
[40] eval-auc:0.701505 train-auc:0.771855
[41] eval-auc:0.701379 train-auc:0.771692
[42] eval-auc:0.702181 train-auc:0.772041
[43] eval-auc:0.702845 train-auc:0.77334
[44] eval-auc:0.703006 train-auc:0.773703
[45] eval-auc:0.702936 train-auc:0.774574
[46] eval-auc:0.703407 train-auc:0.774916
[47] eval-auc:0.703244 train-auc:0.776496
[48] eval-auc:0.703668 train-auc:0.778045
[49] eval-auc:0.703678 train-auc:0.77967
[50] eval-auc:0.703914 train-auc:0.780259
[51] eval-auc:0.702908 train-auc:0.781558
[52] eval-auc:0.703918 train-auc:0.782355
[53] eval-auc:0.704438 train-auc:0.782902
[54] eval-auc:0.704143 train-auc:0.783652
[55] eval-auc:0.704397 train-auc:0.784414
[56] eval-auc:0.704235 train-auc:0.785199
[57] eval-auc:0.704334 train-auc:0.784439
[58] eval-auc:0.704387 train-auc:0.785499
[59] eval-auc:0.703844 train-auc:0.786853
[60] eval-auc:0.704308 train-auc:0.787244
[61] eval-auc:0.704326 train-auc:0.78742
[62] eval-auc:0.704857 train-auc:0.787951
[63] eval-auc:0.704111 train-auc:0.789661
[64] eval-auc:0.704003 train-auc:0.78988
[65] eval-auc:0.704171 train-auc:0.789822
[66] eval-auc:0.70445 train-auc:0.79173
[67] eval-auc:0.704621 train-auc:0.79178
[68] eval-auc:0.704587 train-auc:0.792204
[69] eval-auc:0.704056 train-auc:0.793563
[70] eval-auc:0.704114 train-auc:0.795116
[71] eval-auc:0.704019 train-auc:0.795179
[72] eval-auc:0.704691 train-auc:0.795756
[73] eval-auc:0.705061 train-auc:0.796337
[74] eval-auc:0.70512 train-auc:0.796606
[75] eval-auc:0.705257 train-auc:0.797466
[76] eval-auc:0.705516 train-auc:0.797792
[77] eval-auc:0.704555 train-auc:0.798832
[78] eval-auc:0.704299 train-auc:0.798422
[79] eval-auc:0.705226 train-auc:0.799007
[80] eval-auc:0.705321 train-auc:0.800618
[81] eval-auc:0.705457 train-auc:0.800567
[82] eval-auc:0.705457 train-auc:0.802057
[83] eval-auc:0.705874 train-auc:0.801273
[84] eval-auc:0.706386 train-auc:0.803036
[85] eval-auc:0.706372 train-auc:0.803265
[86] eval-auc:0.706352 train-auc:0.804192
[87] eval-auc:0.706369 train-auc:0.804349
[88] eval-auc:0.706777 train-auc:0.805676
[89] eval-auc:0.706101 train-auc:0.805976
[90] eval-auc:0.705929 train-auc:0.806153
[91] eval-auc:0.706177 train-auc:0.806215
[92] eval-auc:0.705513 train-auc:0.807438
[93] eval-auc:0.705571 train-auc:0.808085
[94] eval-auc:0.705614 train-auc:0.809401
[95] eval-auc:0.705688 train-auc:0.80972
[96] eval-auc:0.706121 train-auc:0.810503
[97] eval-auc:0.706281 train-auc:0.811177
[98] eval-auc:0.705941 train-auc:0.811867
[99] eval-auc:0.706584 train-auc:0.812878
[100] eval-auc:0.706824 train-auc:0.812732
[101] eval-auc:0.707525 train-auc:0.813397
[102] eval-auc:0.707229 train-auc:0.813652
[103] eval-auc:0.707325 train-auc:0.814403
[104] eval-auc:0.707382 train-auc:0.815663
[105] eval-auc:0.707361 train-auc:0.816496
[106] eval-auc:0.70739 train-auc:0.816792
[107] eval-auc:0.707481 train-auc:0.817161
[108] eval-auc:0.707639 train-auc:0.817209
[109] eval-auc:0.707423 train-auc:0.817864
[110] eval-auc:0.707587 train-auc:0.817717
[111] eval-auc:0.70775 train-auc:0.818538
[112] eval-auc:0.707474 train-auc:0.818948
[113] eval-auc:0.706824 train-auc:0.81978
[114] eval-auc:0.706156 train-auc:0.820229
Score 0.7061558186845984
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8, 'eta': 0.07500000000000001, 'eval_metric': 'auc', 'gamma': 0.9500000000000001, 'max_depth': 3, 'min_child_weight': 1.0, 'n_estimators': 188.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.8500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.651958 train-auc:0.692866
[1] eval-auc:0.661664 train-auc:0.706728
[2] eval-auc:0.676344 train-auc:0.719578
[3] eval-auc:0.670511 train-auc:0.726634
[4] eval-auc:0.674424 train-auc:0.737992
[5] eval-auc:0.677487 train-auc:0.732396
[6] eval-auc:0.678915 train-auc:0.736394
[7] eval-auc:0.678884 train-auc:0.733602
[8] eval-auc:0.68521 train-auc:0.739873
[9] eval-auc:0.689547 train-auc:0.737376
[10] eval-auc:0.691817 train-auc:0.740568
[11] eval-auc:0.688606 train-auc:0.743099
[12] eval-auc:0.689258 train-auc:0.740877
[13] eval-auc:0.692696 train-auc:0.739856
[14] eval-auc:0.694097 train-auc:0.7397
[15] eval-auc:0.691374 train-auc:0.74222
[16] eval-auc:0.690653 train-auc:0.743925
[17] eval-auc:0.690035 train-auc:0.746213
[18] eval-auc:0.691394 train-auc:0.748924
[19] eval-auc:0.69254 train-auc:0.751713
[20] eval-auc:0.693999 train-auc:0.750374
[21] eval-auc:0.694152 train-auc:0.754915
[22] eval-auc:0.693887 train-auc:0.755862
[23] eval-auc:0.694971 train-auc:0.757637
[24] eval-auc:0.696429 train-auc:0.76063
[25] eval-auc:0.696923 train-auc:0.760531
[26] eval-auc:0.697773 train-auc:0.762425
[27] eval-auc:0.697816 train-auc:0.765145
[28] eval-auc:0.698547 train-auc:0.764554
[29] eval-auc:0.699425 train-auc:0.764063
[30] eval-auc:0.699777 train-auc:0.765582
[31] eval-auc:0.700631 train-auc:0.765918
[32] eval-auc:0.70188 train-auc:0.767122
[33] eval-auc:0.701011 train-auc:0.768994
[34] eval-auc:0.701735 train-auc:0.770693
[35] eval-auc:0.701627 train-auc:0.773933
[36] eval-auc:0.701122 train-auc:0.775138
[37] eval-auc:0.703119 train-auc:0.775795
[38] eval-auc:0.703231 train-auc:0.776736
[39] eval-auc:0.703604 train-auc:0.777812
[40] eval-auc:0.703993 train-auc:0.779224
[41] eval-auc:0.703847 train-auc:0.780501
[42] eval-auc:0.703787 train-auc:0.781753
[43] eval-auc:0.703633 train-auc:0.784209
[44] eval-auc:0.703482 train-auc:0.784232
[45] eval-auc:0.703768 train-auc:0.785507
[46] eval-auc:0.702073 train-auc:0.787053
[47] eval-auc:0.702287 train-auc:0.787986
[48] eval-auc:0.701415 train-auc:0.788503
[49] eval-auc:0.70161 train-auc:0.788883
[50] eval-auc:0.701433 train-auc:0.790229
[51] eval-auc:0.701643 train-auc:0.791775
[52] eval-auc:0.701601 train-auc:0.79369
[53] eval-auc:0.70168 train-auc:0.793762
[54] eval-auc:0.702632 train-auc:0.795281
[55] eval-auc:0.702847 train-auc:0.795477
[56] eval-auc:0.702798 train-auc:0.797242
[57] eval-auc:0.702492 train-auc:0.798152
[58] eval-auc:0.703039 train-auc:0.798355
[59] eval-auc:0.703161 train-auc:0.799797
[60] eval-auc:0.703724 train-auc:0.800277
[61] eval-auc:0.704737 train-auc:0.801303
[62] eval-auc:0.704992 train-auc:0.80147
[63] eval-auc:0.704729 train-auc:0.802724
[64] eval-auc:0.704429 train-auc:0.802931
[65] eval-auc:0.704394 train-auc:0.802802
[66] eval-auc:0.704312 train-auc:0.80501
[67] eval-auc:0.70426 train-auc:0.805007
[68] eval-auc:0.70449 train-auc:0.807316
[69] eval-auc:0.705146 train-auc:0.807936
[70] eval-auc:0.705002 train-auc:0.808768
[71] eval-auc:0.70502 train-auc:0.809449
[72] eval-auc:0.705516 train-auc:0.809722
[73] eval-auc:0.70592 train-auc:0.810241
[74] eval-auc:0.705477 train-auc:0.811213
[75] eval-auc:0.706023 train-auc:0.812472
[76] eval-auc:0.705883 train-auc:0.813104
[77] eval-auc:0.704868 train-auc:0.814427
[78] eval-auc:0.705564 train-auc:0.816806
[79] eval-auc:0.705602 train-auc:0.817336
[80] eval-auc:0.705819 train-auc:0.819312
[81] eval-auc:0.706045 train-auc:0.820206
[82] eval-auc:0.706009 train-auc:0.820372
[83] eval-auc:0.705783 train-auc:0.819848
[84] eval-auc:0.706731 train-auc:0.822044
[85] eval-auc:0.706827 train-auc:0.822149
[86] eval-auc:0.706341 train-auc:0.82308
[87] eval-auc:0.705981 train-auc:0.824779
[88] eval-auc:0.705869 train-auc:0.825502
[89] eval-auc:0.706383 train-auc:0.825581
[90] eval-auc:0.706493 train-auc:0.825519
[91] eval-auc:0.706856 train-auc:0.826172
[92] eval-auc:0.706837 train-auc:0.827442
[93] eval-auc:0.706859 train-auc:0.828113
[94] eval-auc:0.70709 train-auc:0.828927
[95] eval-auc:0.707466 train-auc:0.829603
[96] eval-auc:0.707067 train-auc:0.830396
[97] eval-auc:0.706926 train-auc:0.830823
[98] eval-auc:0.707414 train-auc:0.832198
[99] eval-auc:0.707273 train-auc:0.833407
[100] eval-auc:0.707267 train-auc:0.833248
[101] eval-auc:0.707545 train-auc:0.833799
[102] eval-auc:0.70652 train-auc:0.834789
[103] eval-auc:0.706143 train-auc:0.835903
[104] eval-auc:0.707577 train-auc:0.837508
[105] eval-auc:0.705953 train-auc:0.838743
[106] eval-auc:0.704162 train-auc:0.840426
[107] eval-auc:0.704262 train-auc:0.84095
[108] eval-auc:0.704405 train-auc:0.841044
[109] eval-auc:0.704588 train-auc:0.841567
[110] eval-auc:0.704795 train-auc:0.843365
[111] eval-auc:0.704444 train-auc:0.843551
[112] eval-auc:0.70431 train-auc:0.844012
[113] eval-auc:0.704744 train-auc:0.844866
[114] eval-auc:0.704133 train-auc:0.845605
[115] eval-auc:0.704506 train-auc:0.846659
[116] eval-auc:0.704712 train-auc:0.846499
[117] eval-auc:0.704897 train-auc:0.847246
[118] eval-auc:0.704957 train-auc:0.84766
[119] eval-auc:0.704573 train-auc:0.849091
[120] eval-auc:0.704434 train-auc:0.849457
[121] eval-auc:0.704672 train-auc:0.849991
[122] eval-auc:0.705164 train-auc:0.850838
[123] eval-auc:0.704948 train-auc:0.851694
[124] eval-auc:0.704687 train-auc:0.851436
[125] eval-auc:0.70545 train-auc:0.85217
[126] eval-auc:0.705063 train-auc:0.853668
[127] eval-auc:0.704297 train-auc:0.854616
[128] eval-auc:0.704789 train-auc:0.855922
[129] eval-auc:0.704561 train-auc:0.856571
[130] eval-auc:0.704711 train-auc:0.856902
[131] eval-auc:0.704266 train-auc:0.857289
[132] eval-auc:0.704615 train-auc:0.858099
[133] eval-auc:0.704537 train-auc:0.858745
[134] eval-auc:0.704696 train-auc:0.859068
[135] eval-auc:0.704315 train-auc:0.8595
[136] eval-auc:0.703753 train-auc:0.859468
[137] eval-auc:0.702905 train-auc:0.860509
[138] eval-auc:0.70267 train-auc:0.861644
[139] eval-auc:0.702558 train-auc:0.862307
[140] eval-auc:0.702507 train-auc:0.862635
[141] eval-auc:0.70223 train-auc:0.862971
[142] eval-auc:0.702125 train-auc:0.863034
[143] eval-auc:0.702028 train-auc:0.863972
[144] eval-auc:0.702265 train-auc:0.863981
[145] eval-auc:0.702582 train-auc:0.864646
[146] eval-auc:0.701592 train-auc:0.865836
[147] eval-auc:0.701715 train-auc:0.866172
[148] eval-auc:0.702471 train-auc:0.866806
[149] eval-auc:0.70281 train-auc:0.867663
[150] eval-auc:0.702481 train-auc:0.868209
[151] eval-auc:0.702763 train-auc:0.868866
[152] eval-auc:0.702809 train-auc:0.869706
[153] eval-auc:0.703564 train-auc:0.869929
[154] eval-auc:0.70382 train-auc:0.870534
[155] eval-auc:0.704438 train-auc:0.871405
[156] eval-auc:0.704868 train-auc:0.871706
[157] eval-auc:0.704933 train-auc:0.87196
[158] eval-auc:0.704766 train-auc:0.872734
[159] eval-auc:0.704744 train-auc:0.873491
[160] eval-auc:0.704636 train-auc:0.873797
[161] eval-auc:0.704887 train-auc:0.874502
[162] eval-auc:0.705079 train-auc:0.874575
[163] eval-auc:0.703907 train-auc:0.875124
[164] eval-auc:0.704122 train-auc:0.875539
[165] eval-auc:0.704539 train-auc:0.87616
[166] eval-auc:0.704765 train-auc:0.876877
[167] eval-auc:0.704784 train-auc:0.878222
[168] eval-auc:0.70422 train-auc:0.878379
[169] eval-auc:0.704181 train-auc:0.878359
[170] eval-auc:0.704044 train-auc:0.878733
[171] eval-auc:0.704463 train-auc:0.878782
[172] eval-auc:0.704357 train-auc:0.879039
[173] eval-auc:0.703907 train-auc:0.879135
[174] eval-auc:0.70428 train-auc:0.879638
[175] eval-auc:0.704284 train-auc:0.879865
[176] eval-auc:0.704079 train-auc:0.880787
[177] eval-auc:0.704149 train-auc:0.880614
[178] eval-auc:0.704887 train-auc:0.881267
[179] eval-auc:0.70526 train-auc:0.882158
[180] eval-auc:0.705372 train-auc:0.882261
[181] eval-auc:0.705151 train-auc:0.882755
[182] eval-auc:0.705268 train-auc:0.88273
[183] eval-auc:0.705131 train-auc:0.883157
[184] eval-auc:0.705184 train-auc:0.88345
[185] eval-auc:0.705515 train-auc:0.883395
[186] eval-auc:0.705242 train-auc:0.883873
[187] eval-auc:0.705005 train-auc:0.884583
Score 0.7050046291220505
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8500000000000001, 'eta': 0.025, 'eval_metric': 'auc', 'gamma': 1.0, 'max_depth': 3, 'min_child_weight': 1.0, 'n_estimators': 968.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9, 'tree_method': 'exact'}
[0] eval-auc:0.709213 train-auc:0.719387
[1] eval-auc:0.694317 train-auc:0.727301
[2] eval-auc:0.698872 train-auc:0.729074
[3] eval-auc:0.701402 train-auc:0.733353
[4] eval-auc:0.703051 train-auc:0.733921
[5] eval-auc:0.697619 train-auc:0.735373
[6] eval-auc:0.694078 train-auc:0.737411
[7] eval-auc:0.69476 train-auc:0.738717
[8] eval-auc:0.69825 train-auc:0.740283
[9] eval-auc:0.702933 train-auc:0.738339
[10] eval-auc:0.703002 train-auc:0.739015
[11] eval-auc:0.702982 train-auc:0.744355
[12] eval-auc:0.699791 train-auc:0.741744
[13] eval-auc:0.704552 train-auc:0.74088
[14] eval-auc:0.703292 train-auc:0.739972
[15] eval-auc:0.703537 train-auc:0.742752
[16] eval-auc:0.702567 train-auc:0.743685
[17] eval-auc:0.701457 train-auc:0.745696
[18] eval-auc:0.700667 train-auc:0.746692
[19] eval-auc:0.700169 train-auc:0.747609
[20] eval-auc:0.699531 train-auc:0.745757
[21] eval-auc:0.700376 train-auc:0.74808
[22] eval-auc:0.701125 train-auc:0.748253
[23] eval-auc:0.701655 train-auc:0.749628
[24] eval-auc:0.702602 train-auc:0.751385
[25] eval-auc:0.701741 train-auc:0.752575
[26] eval-auc:0.701805 train-auc:0.7543
[27] eval-auc:0.70152 train-auc:0.756126
[28] eval-auc:0.701422 train-auc:0.75376
[29] eval-auc:0.701383 train-auc:0.752771
[30] eval-auc:0.701279 train-auc:0.754003
[31] eval-auc:0.701691 train-auc:0.754135
[32] eval-auc:0.702829 train-auc:0.755164
[33] eval-auc:0.702484 train-auc:0.755667
[34] eval-auc:0.702845 train-auc:0.757515
[35] eval-auc:0.703366 train-auc:0.758238
[36] eval-auc:0.703088 train-auc:0.759084
[37] eval-auc:0.702161 train-auc:0.757604
[38] eval-auc:0.703306 train-auc:0.757081
[39] eval-auc:0.702844 train-auc:0.756074
[40] eval-auc:0.702778 train-auc:0.755241
[41] eval-auc:0.702989 train-auc:0.754388
[42] eval-auc:0.703555 train-auc:0.754434
[43] eval-auc:0.703825 train-auc:0.75538
[44] eval-auc:0.703669 train-auc:0.756076
[45] eval-auc:0.703764 train-auc:0.755594
[46] eval-auc:0.704008 train-auc:0.756028
[47] eval-auc:0.705171 train-auc:0.756553
[48] eval-auc:0.705215 train-auc:0.757829
[49] eval-auc:0.705012 train-auc:0.758683
[50] eval-auc:0.705079 train-auc:0.759411
[51] eval-auc:0.704801 train-auc:0.760754
[52] eval-auc:0.703959 train-auc:0.761737
[53] eval-auc:0.703203 train-auc:0.762614
[54] eval-auc:0.703718 train-auc:0.763995
[55] eval-auc:0.703792 train-auc:0.764631
[56] eval-auc:0.703611 train-auc:0.765932
[57] eval-auc:0.703755 train-auc:0.766457
[58] eval-auc:0.70422 train-auc:0.766793
[59] eval-auc:0.703739 train-auc:0.767501
[60] eval-auc:0.703468 train-auc:0.767868
[61] eval-auc:0.703693 train-auc:0.767294
[62] eval-auc:0.703443 train-auc:0.767968
[63] eval-auc:0.703454 train-auc:0.768617
[64] eval-auc:0.703403 train-auc:0.769093
[65] eval-auc:0.703495 train-auc:0.769045
[66] eval-auc:0.703205 train-auc:0.769639
[67] eval-auc:0.703579 train-auc:0.770284
[68] eval-auc:0.703825 train-auc:0.770769
[69] eval-auc:0.704303 train-auc:0.770993
[70] eval-auc:0.704051 train-auc:0.771768
[71] eval-auc:0.703994 train-auc:0.772532
[72] eval-auc:0.703888 train-auc:0.773126
[73] eval-auc:0.703809 train-auc:0.773384
[74] eval-auc:0.704061 train-auc:0.773398
[75] eval-auc:0.704069 train-auc:0.774137
[76] eval-auc:0.703059 train-auc:0.773914
[77] eval-auc:0.702795 train-auc:0.774724
[78] eval-auc:0.702494 train-auc:0.77427
[79] eval-auc:0.702987 train-auc:0.774462
[80] eval-auc:0.702593 train-auc:0.775315
[81] eval-auc:0.702574 train-auc:0.775364
[82] eval-auc:0.703227 train-auc:0.775192
[83] eval-auc:0.703556 train-auc:0.77519
[84] eval-auc:0.70366 train-auc:0.775456
[85] eval-auc:0.703748 train-auc:0.776182
[86] eval-auc:0.704031 train-auc:0.776671
[87] eval-auc:0.703754 train-auc:0.777935
[88] eval-auc:0.704053 train-auc:0.778376
[89] eval-auc:0.704832 train-auc:0.779098
[90] eval-auc:0.704124 train-auc:0.778899
[91] eval-auc:0.704233 train-auc:0.779823
[92] eval-auc:0.704632 train-auc:0.78036
[93] eval-auc:0.70408 train-auc:0.78091
[94] eval-auc:0.704237 train-auc:0.781002
[95] eval-auc:0.704262 train-auc:0.781117
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[100] eval-auc:0.703998 train-auc:0.7835
[101] eval-auc:0.704291 train-auc:0.78345
[102] eval-auc:0.704431 train-auc:0.783723
[103] eval-auc:0.704524 train-auc:0.783995
[104] eval-auc:0.705028 train-auc:0.784324
[105] eval-auc:0.705173 train-auc:0.784593
[106] eval-auc:0.705037 train-auc:0.784622
[107] eval-auc:0.705004 train-auc:0.785545
[108] eval-auc:0.704666 train-auc:0.78597
[109] eval-auc:0.704472 train-auc:0.786286
[110] eval-auc:0.704881 train-auc:0.786464
[111] eval-auc:0.704756 train-auc:0.787011
[112] eval-auc:0.70482 train-auc:0.787697
[113] eval-auc:0.705256 train-auc:0.787924
[114] eval-auc:0.705334 train-auc:0.788473
[115] eval-auc:0.705309 train-auc:0.789241
[116] eval-auc:0.705455 train-auc:0.790023
[117] eval-auc:0.705531 train-auc:0.790187
[118] eval-auc:0.7056 train-auc:0.790472
[119] eval-auc:0.706053 train-auc:0.791665
[120] eval-auc:0.706119 train-auc:0.792284
[121] eval-auc:0.70617 train-auc:0.792622
[122] eval-auc:0.706508 train-auc:0.792948
[123] eval-auc:0.706441 train-auc:0.793468
[124] eval-auc:0.706443 train-auc:0.793557
[125] eval-auc:0.706315 train-auc:0.794024
[126] eval-auc:0.706513 train-auc:0.794177
[127] eval-auc:0.706409 train-auc:0.79445
[128] eval-auc:0.706458 train-auc:0.795105
[129] eval-auc:0.706289 train-auc:0.795799
[130] eval-auc:0.706166 train-auc:0.796164
[131] eval-auc:0.70635 train-auc:0.796562
[132] eval-auc:0.706347 train-auc:0.797265
[133] eval-auc:0.706187 train-auc:0.797835
[134] eval-auc:0.706246 train-auc:0.798357
[135] eval-auc:0.706271 train-auc:0.798346
[136] eval-auc:0.706179 train-auc:0.798416
[137] eval-auc:0.706109 train-auc:0.798357
[138] eval-auc:0.705921 train-auc:0.799238
[139] eval-auc:0.706172 train-auc:0.799183
[140] eval-auc:0.705616 train-auc:0.799653
[141] eval-auc:0.705611 train-auc:0.800039
[142] eval-auc:0.705832 train-auc:0.800308
[143] eval-auc:0.70601 train-auc:0.800811
[144] eval-auc:0.705953 train-auc:0.800702
[145] eval-auc:0.705866 train-auc:0.800977
[146] eval-auc:0.705889 train-auc:0.800942
[147] eval-auc:0.70601 train-auc:0.801066
[148] eval-auc:0.70572 train-auc:0.80145
[149] eval-auc:0.705968 train-auc:0.801909
[150] eval-auc:0.705952 train-auc:0.802567
[151] eval-auc:0.705857 train-auc:0.803171
[152] eval-auc:0.705725 train-auc:0.802805
[153] eval-auc:0.70608 train-auc:0.803124
[154] eval-auc:0.706198 train-auc:0.80335
[155] eval-auc:0.706571 train-auc:0.804585
[156] eval-auc:0.706761 train-auc:0.805587
[157] eval-auc:0.706199 train-auc:0.806347
[158] eval-auc:0.706454 train-auc:0.806604
[159] eval-auc:0.706152 train-auc:0.807007
[160] eval-auc:0.706291 train-auc:0.80766
[161] eval-auc:0.706315 train-auc:0.807736
[162] eval-auc:0.706243 train-auc:0.808109
[163] eval-auc:0.705758 train-auc:0.808705
[164] eval-auc:0.705758 train-auc:0.808832
[165] eval-auc:0.705715 train-auc:0.809651
[166] eval-auc:0.706035 train-auc:0.809536
[167] eval-auc:0.706085 train-auc:0.80988
[168] eval-auc:0.705965 train-auc:0.810069
[169] eval-auc:0.705878 train-auc:0.810377
[170] eval-auc:0.705995 train-auc:0.810418
[171] eval-auc:0.706271 train-auc:0.810879
[172] eval-auc:0.706286 train-auc:0.810977
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[174] eval-auc:0.706994 train-auc:0.81164
[175] eval-auc:0.707152 train-auc:0.811906
[176] eval-auc:0.707041 train-auc:0.812358
[177] eval-auc:0.707235 train-auc:0.8126
[178] eval-auc:0.707253 train-auc:0.813063
[179] eval-auc:0.707021 train-auc:0.813425
[180] eval-auc:0.707119 train-auc:0.813658
[181] eval-auc:0.707375 train-auc:0.813851
[182] eval-auc:0.707361 train-auc:0.813923
[183] eval-auc:0.706942 train-auc:0.814431
[184] eval-auc:0.707061 train-auc:0.814506
[185] eval-auc:0.706894 train-auc:0.814471
[186] eval-auc:0.706974 train-auc:0.814938
[187] eval-auc:0.706929 train-auc:0.815623
[188] eval-auc:0.706904 train-auc:0.816469
[189] eval-auc:0.706857 train-auc:0.816875
[190] eval-auc:0.706371 train-auc:0.81744
[191] eval-auc:0.706557 train-auc:0.817638
[192] eval-auc:0.706863 train-auc:0.817771
[193] eval-auc:0.706618 train-auc:0.818665
[194] eval-auc:0.706517 train-auc:0.818945
[195] eval-auc:0.706686 train-auc:0.819009
[196] eval-auc:0.706332 train-auc:0.819316
[197] eval-auc:0.706452 train-auc:0.819237
[198] eval-auc:0.706163 train-auc:0.820121
[199] eval-auc:0.706048 train-auc:0.820617
[200] eval-auc:0.706214 train-auc:0.82114
[201] eval-auc:0.706302 train-auc:0.821725
[202] eval-auc:0.706201 train-auc:0.82167
[203] eval-auc:0.706055 train-auc:0.821745
[204] eval-auc:0.70602 train-auc:0.821727
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[206] eval-auc:0.705772 train-auc:0.822591
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[209] eval-auc:0.705381 train-auc:0.823534
[210] eval-auc:0.705391 train-auc:0.82328
[211] eval-auc:0.705535 train-auc:0.823326
[212] eval-auc:0.705761 train-auc:0.82371
[213] eval-auc:0.70574 train-auc:0.823898
[214] eval-auc:0.705932 train-auc:0.824042
[215] eval-auc:0.705955 train-auc:0.824066
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[219] eval-auc:0.706524 train-auc:0.824488
[220] eval-auc:0.706533 train-auc:0.824668
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[226] eval-auc:0.707135 train-auc:0.824827
[227] eval-auc:0.70696 train-auc:0.825048
[228] eval-auc:0.706974 train-auc:0.825042
[229] eval-auc:0.706704 train-auc:0.825275
[230] eval-auc:0.706614 train-auc:0.825349
[231] eval-auc:0.706396 train-auc:0.825436
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[234] eval-auc:0.706345 train-auc:0.825672
[235] eval-auc:0.706402 train-auc:0.825712
[236] eval-auc:0.706342 train-auc:0.825934
[237] eval-auc:0.706197 train-auc:0.826206
[238] eval-auc:0.706054 train-auc:0.826608
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[939] eval-auc:0.710252 train-auc:0.933897
[940] eval-auc:0.710276 train-auc:0.933939
[941] eval-auc:0.71017 train-auc:0.934114
[942] eval-auc:0.710421 train-auc:0.934303
[943] eval-auc:0.71034 train-auc:0.934422
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[947] eval-auc:0.709903 train-auc:0.934503
[948] eval-auc:0.709972 train-auc:0.934643
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[950] eval-auc:0.709813 train-auc:0.934853
[951] eval-auc:0.709708 train-auc:0.934923
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[954] eval-auc:0.709387 train-auc:0.935183
[955] eval-auc:0.709436 train-auc:0.935297
[956] eval-auc:0.709407 train-auc:0.935285
[957] eval-auc:0.709457 train-auc:0.935394
[958] eval-auc:0.709475 train-auc:0.935482
[959] eval-auc:0.70945 train-auc:0.935495
[960] eval-auc:0.709507 train-auc:0.935492
[961] eval-auc:0.70941 train-auc:0.935613
[962] eval-auc:0.709367 train-auc:0.935606
[963] eval-auc:0.709364 train-auc:0.935657
[964] eval-auc:0.709526 train-auc:0.935655
[965] eval-auc:0.70949 train-auc:0.935814
[966] eval-auc:0.709616 train-auc:0.935906
[967] eval-auc:0.70966 train-auc:0.935946
Score 0.7096603990790483
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9, 'eta': 0.15000000000000002, 'eval_metric': 'auc', 'gamma': 0.8500000000000001, 'max_depth': 3, 'min_child_weight': 1.0, 'n_estimators': 132.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9, 'tree_method': 'exact'}
[0] eval-auc:0.709213 train-auc:0.719387
[1] eval-auc:0.694776 train-auc:0.727936
[2] eval-auc:0.698568 train-auc:0.732823
[3] eval-auc:0.705053 train-auc:0.738284
[4] eval-auc:0.70263 train-auc:0.740353
[5] eval-auc:0.700685 train-auc:0.744713
[6] eval-auc:0.704188 train-auc:0.748013
[7] eval-auc:0.703208 train-auc:0.749733
[8] eval-auc:0.704113 train-auc:0.753252
[9] eval-auc:0.705404 train-auc:0.755922
[10] eval-auc:0.707554 train-auc:0.761077
[11] eval-auc:0.710691 train-auc:0.765463
[12] eval-auc:0.704999 train-auc:0.765283
[13] eval-auc:0.708285 train-auc:0.769558
[14] eval-auc:0.709649 train-auc:0.771336
[15] eval-auc:0.711332 train-auc:0.773056
[16] eval-auc:0.712493 train-auc:0.775867
[17] eval-auc:0.71197 train-auc:0.780707
[18] eval-auc:0.711907 train-auc:0.781754
[19] eval-auc:0.711715 train-auc:0.781712
[20] eval-auc:0.711766 train-auc:0.781575
[21] eval-auc:0.711678 train-auc:0.783019
[22] eval-auc:0.713798 train-auc:0.786547
[23] eval-auc:0.713498 train-auc:0.788542
[24] eval-auc:0.713748 train-auc:0.791169
[25] eval-auc:0.711959 train-auc:0.793514
[26] eval-auc:0.711024 train-auc:0.796052
[27] eval-auc:0.712342 train-auc:0.79869
[28] eval-auc:0.711326 train-auc:0.79774
[29] eval-auc:0.711389 train-auc:0.797302
[30] eval-auc:0.711689 train-auc:0.800458
[31] eval-auc:0.711339 train-auc:0.800561
[32] eval-auc:0.711175 train-auc:0.801557
[33] eval-auc:0.712514 train-auc:0.804569
[34] eval-auc:0.711607 train-auc:0.80564
[35] eval-auc:0.710592 train-auc:0.806459
[36] eval-auc:0.70902 train-auc:0.80868
[37] eval-auc:0.710863 train-auc:0.811346
[38] eval-auc:0.710965 train-auc:0.813497
[39] eval-auc:0.711778 train-auc:0.817031
[40] eval-auc:0.714332 train-auc:0.819725
[41] eval-auc:0.714065 train-auc:0.820676
[42] eval-auc:0.712605 train-auc:0.823332
[43] eval-auc:0.712123 train-auc:0.825373
[44] eval-auc:0.71242 train-auc:0.827365
[45] eval-auc:0.711737 train-auc:0.82808
[46] eval-auc:0.711681 train-auc:0.829807
[47] eval-auc:0.713472 train-auc:0.831116
[48] eval-auc:0.71305 train-auc:0.831628
[49] eval-auc:0.712855 train-auc:0.832072
[50] eval-auc:0.713496 train-auc:0.832894
[51] eval-auc:0.713886 train-auc:0.834927
[52] eval-auc:0.714586 train-auc:0.837044
[53] eval-auc:0.714921 train-auc:0.839948
[54] eval-auc:0.714454 train-auc:0.840492
[55] eval-auc:0.714392 train-auc:0.841031
[56] eval-auc:0.714812 train-auc:0.841764
[57] eval-auc:0.714347 train-auc:0.842239
[58] eval-auc:0.714031 train-auc:0.844262
[59] eval-auc:0.713193 train-auc:0.845586
[60] eval-auc:0.714594 train-auc:0.845893
[61] eval-auc:0.715403 train-auc:0.847137
[62] eval-auc:0.715138 train-auc:0.847358
[63] eval-auc:0.714092 train-auc:0.848645
[64] eval-auc:0.713871 train-auc:0.849922
[65] eval-auc:0.713938 train-auc:0.84975
[66] eval-auc:0.714695 train-auc:0.851945
[67] eval-auc:0.71496 train-auc:0.851979
[68] eval-auc:0.714595 train-auc:0.854256
[69] eval-auc:0.714415 train-auc:0.85606
[70] eval-auc:0.712114 train-auc:0.857957
[71] eval-auc:0.711102 train-auc:0.857728
[72] eval-auc:0.709907 train-auc:0.859542
[73] eval-auc:0.710198 train-auc:0.859786
[74] eval-auc:0.709613 train-auc:0.861948
[75] eval-auc:0.710577 train-auc:0.863452
[76] eval-auc:0.71058 train-auc:0.864711
[77] eval-auc:0.710432 train-auc:0.865463
[78] eval-auc:0.710376 train-auc:0.868188
[79] eval-auc:0.710681 train-auc:0.869047
[80] eval-auc:0.710207 train-auc:0.870065
[81] eval-auc:0.708669 train-auc:0.871555
[82] eval-auc:0.708824 train-auc:0.872073
[83] eval-auc:0.708623 train-auc:0.871025
[84] eval-auc:0.709165 train-auc:0.872291
[85] eval-auc:0.708921 train-auc:0.874311
[86] eval-auc:0.708377 train-auc:0.875291
[87] eval-auc:0.707038 train-auc:0.876654
[88] eval-auc:0.707281 train-auc:0.877283
[89] eval-auc:0.708106 train-auc:0.878771
[90] eval-auc:0.708103 train-auc:0.87885
[91] eval-auc:0.707851 train-auc:0.879411
[92] eval-auc:0.708542 train-auc:0.880652
[93] eval-auc:0.709488 train-auc:0.881484
[94] eval-auc:0.709401 train-auc:0.882291
[95] eval-auc:0.710133 train-auc:0.883309
[96] eval-auc:0.710432 train-auc:0.883571
[97] eval-auc:0.710713 train-auc:0.884222
[98] eval-auc:0.710541 train-auc:0.885471
[99] eval-auc:0.710436 train-auc:0.886121
[100] eval-auc:0.70976 train-auc:0.886533
[101] eval-auc:0.709993 train-auc:0.886915
[102] eval-auc:0.707779 train-auc:0.887863
[103] eval-auc:0.707166 train-auc:0.88849
[104] eval-auc:0.708076 train-auc:0.889116
[105] eval-auc:0.708869 train-auc:0.889889
[106] eval-auc:0.709303 train-auc:0.892028
[107] eval-auc:0.709608 train-auc:0.892982
[108] eval-auc:0.708397 train-auc:0.894276
[109] eval-auc:0.708489 train-auc:0.895411
[110] eval-auc:0.709355 train-auc:0.895442
[111] eval-auc:0.708967 train-auc:0.896034
[112] eval-auc:0.707758 train-auc:0.897155
[113] eval-auc:0.707732 train-auc:0.897024
[114] eval-auc:0.707009 train-auc:0.897371
[115] eval-auc:0.707334 train-auc:0.898501
[116] eval-auc:0.708486 train-auc:0.899242
[117] eval-auc:0.709014 train-auc:0.900073
[118] eval-auc:0.709392 train-auc:0.900554
[119] eval-auc:0.709415 train-auc:0.901305
[120] eval-auc:0.709664 train-auc:0.901607
[121] eval-auc:0.709823 train-auc:0.902305
[122] eval-auc:0.709218 train-auc:0.903314
[123] eval-auc:0.70908 train-auc:0.904309
[124] eval-auc:0.709472 train-auc:0.90588
[125] eval-auc:0.710331 train-auc:0.90632
[126] eval-auc:0.710084 train-auc:0.906708
[127] eval-auc:0.709999 train-auc:0.906634
[128] eval-auc:0.710238 train-auc:0.906951
[129] eval-auc:0.710126 train-auc:0.907478
[130] eval-auc:0.710261 train-auc:0.908174
[131] eval-auc:0.709821 train-auc:0.908543
Score 0.7098210478870494
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8500000000000001, 'eta': 0.2, 'eval_metric': 'auc', 'gamma': 1.0, 'max_depth': 3, 'min_child_weight': 1.0, 'n_estimators': 104.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.720253 train-auc:0.715388
[1] eval-auc:0.703588 train-auc:0.727272
[2] eval-auc:0.699075 train-auc:0.735054
[3] eval-auc:0.69891 train-auc:0.736521
[4] eval-auc:0.70312 train-auc:0.741499
[5] eval-auc:0.69881 train-auc:0.750846
[6] eval-auc:0.701853 train-auc:0.75129
[7] eval-auc:0.702043 train-auc:0.756449
[8] eval-auc:0.702944 train-auc:0.760714
[9] eval-auc:0.707602 train-auc:0.767077
[10] eval-auc:0.709817 train-auc:0.77109
[11] eval-auc:0.711596 train-auc:0.775024
[12] eval-auc:0.709003 train-auc:0.776464
[13] eval-auc:0.709757 train-auc:0.778181
[14] eval-auc:0.711179 train-auc:0.779374
[15] eval-auc:0.713042 train-auc:0.782366
[16] eval-auc:0.712022 train-auc:0.788273
[17] eval-auc:0.708863 train-auc:0.794652
[18] eval-auc:0.708422 train-auc:0.796065
[19] eval-auc:0.708346 train-auc:0.801867
[20] eval-auc:0.707704 train-auc:0.805034
[21] eval-auc:0.708409 train-auc:0.806038
[22] eval-auc:0.708943 train-auc:0.806583
[23] eval-auc:0.709319 train-auc:0.807354
[24] eval-auc:0.70905 train-auc:0.809218
[25] eval-auc:0.707106 train-auc:0.811299
[26] eval-auc:0.705032 train-auc:0.815607
[27] eval-auc:0.703598 train-auc:0.818776
[28] eval-auc:0.70332 train-auc:0.819348
[29] eval-auc:0.702377 train-auc:0.82104
[30] eval-auc:0.701627 train-auc:0.82079
[31] eval-auc:0.704163 train-auc:0.822556
[32] eval-auc:0.703687 train-auc:0.823704
[33] eval-auc:0.703818 train-auc:0.825538
[34] eval-auc:0.70237 train-auc:0.828303
[35] eval-auc:0.702309 train-auc:0.830336
[36] eval-auc:0.704202 train-auc:0.832057
[37] eval-auc:0.706445 train-auc:0.834266
[38] eval-auc:0.708955 train-auc:0.838906
[39] eval-auc:0.70698 train-auc:0.841436
[40] eval-auc:0.707785 train-auc:0.84348
[41] eval-auc:0.707927 train-auc:0.843862
[42] eval-auc:0.707546 train-auc:0.844858
[43] eval-auc:0.708201 train-auc:0.845794
[44] eval-auc:0.705588 train-auc:0.847223
[45] eval-auc:0.705976 train-auc:0.847276
[46] eval-auc:0.705882 train-auc:0.848576
[47] eval-auc:0.706434 train-auc:0.849784
[48] eval-auc:0.706522 train-auc:0.850423
[49] eval-auc:0.708394 train-auc:0.853229
[50] eval-auc:0.707943 train-auc:0.854645
[51] eval-auc:0.707362 train-auc:0.856703
[52] eval-auc:0.708585 train-auc:0.857132
[53] eval-auc:0.708591 train-auc:0.860069
[54] eval-auc:0.709102 train-auc:0.861156
[55] eval-auc:0.706599 train-auc:0.863833
[56] eval-auc:0.706916 train-auc:0.86433
[57] eval-auc:0.706924 train-auc:0.864721
[58] eval-auc:0.706463 train-auc:0.865801
[59] eval-auc:0.708001 train-auc:0.867898
[60] eval-auc:0.707297 train-auc:0.869316
[61] eval-auc:0.706479 train-auc:0.869846
[62] eval-auc:0.706726 train-auc:0.870096
[63] eval-auc:0.706335 train-auc:0.871476
[64] eval-auc:0.70834 train-auc:0.873095
[65] eval-auc:0.708809 train-auc:0.873513
[66] eval-auc:0.707952 train-auc:0.87489
[67] eval-auc:0.708464 train-auc:0.87491
[68] eval-auc:0.70853 train-auc:0.875758
[69] eval-auc:0.708087 train-auc:0.87616
[70] eval-auc:0.708892 train-auc:0.877211
[71] eval-auc:0.708744 train-auc:0.878536
[72] eval-auc:0.708962 train-auc:0.880374
[73] eval-auc:0.709331 train-auc:0.882741
[74] eval-auc:0.710985 train-auc:0.884838
[75] eval-auc:0.711504 train-auc:0.886261
[76] eval-auc:0.711849 train-auc:0.887419
[77] eval-auc:0.711419 train-auc:0.887734
[78] eval-auc:0.711231 train-auc:0.888612
[79] eval-auc:0.711132 train-auc:0.88968
[80] eval-auc:0.711184 train-auc:0.890629
[81] eval-auc:0.710301 train-auc:0.89123
[82] eval-auc:0.709387 train-auc:0.892746
[83] eval-auc:0.709619 train-auc:0.893535
[84] eval-auc:0.710744 train-auc:0.895168
[85] eval-auc:0.712612 train-auc:0.897082
[86] eval-auc:0.712192 train-auc:0.898053
[87] eval-auc:0.710987 train-auc:0.898575
[88] eval-auc:0.711274 train-auc:0.898749
[89] eval-auc:0.710856 train-auc:0.898639
[90] eval-auc:0.711045 train-auc:0.898728
[91] eval-auc:0.710927 train-auc:0.899051
[92] eval-auc:0.709539 train-auc:0.900419
[93] eval-auc:0.710161 train-auc:0.90064
[94] eval-auc:0.711357 train-auc:0.901202
[95] eval-auc:0.711892 train-auc:0.903245
[96] eval-auc:0.710687 train-auc:0.9047
[97] eval-auc:0.710247 train-auc:0.90646
[98] eval-auc:0.710898 train-auc:0.906589
[99] eval-auc:0.710231 train-auc:0.907631
[100] eval-auc:0.710518 train-auc:0.908021
[101] eval-auc:0.709247 train-auc:0.909009
[102] eval-auc:0.709716 train-auc:0.910203
[103] eval-auc:0.709507 train-auc:0.910981
Score 0.7095073639586302
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9, 'eta': 0.375, 'eval_metric': 'auc', 'gamma': 0.9, 'max_depth': 3, 'min_child_weight': 1.0, 'n_estimators': 155.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.8500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.708987 train-auc:0.715522
[1] eval-auc:0.698579 train-auc:0.731339
[2] eval-auc:0.693946 train-auc:0.733775
[3] eval-auc:0.693215 train-auc:0.738567
[4] eval-auc:0.687479 train-auc:0.74518
[5] eval-auc:0.690697 train-auc:0.759648
[6] eval-auc:0.695503 train-auc:0.762125
[7] eval-auc:0.700104 train-auc:0.76707
[8] eval-auc:0.70041 train-auc:0.775992
[9] eval-auc:0.69982 train-auc:0.776517
[10] eval-auc:0.702333 train-auc:0.778698
[11] eval-auc:0.702136 train-auc:0.780596
[12] eval-auc:0.704719 train-auc:0.787699
[13] eval-auc:0.706412 train-auc:0.789622
[14] eval-auc:0.705555 train-auc:0.791955
[15] eval-auc:0.703837 train-auc:0.798272
[16] eval-auc:0.702985 train-auc:0.804926
[17] eval-auc:0.702575 train-auc:0.809854
[18] eval-auc:0.702114 train-auc:0.815229
[19] eval-auc:0.701738 train-auc:0.818219
[20] eval-auc:0.701167 train-auc:0.82198
[21] eval-auc:0.702201 train-auc:0.825946
[22] eval-auc:0.702155 train-auc:0.82673
[23] eval-auc:0.701974 train-auc:0.828587
[24] eval-auc:0.70105 train-auc:0.831066
[25] eval-auc:0.700952 train-auc:0.836775
[26] eval-auc:0.699131 train-auc:0.839704
[27] eval-auc:0.694086 train-auc:0.842329
[28] eval-auc:0.694803 train-auc:0.844002
[29] eval-auc:0.694224 train-auc:0.84583
[30] eval-auc:0.695188 train-auc:0.84923
[31] eval-auc:0.695838 train-auc:0.850704
[32] eval-auc:0.697459 train-auc:0.852944
[33] eval-auc:0.695263 train-auc:0.85516
[34] eval-auc:0.695429 train-auc:0.856207
[35] eval-auc:0.695802 train-auc:0.857022
[36] eval-auc:0.698755 train-auc:0.858364
[37] eval-auc:0.697277 train-auc:0.861415
[38] eval-auc:0.695221 train-auc:0.864492
[39] eval-auc:0.693653 train-auc:0.865825
[40] eval-auc:0.696205 train-auc:0.86852
[41] eval-auc:0.697767 train-auc:0.870531
[42] eval-auc:0.696657 train-auc:0.871363
[43] eval-auc:0.698506 train-auc:0.874672
[44] eval-auc:0.699384 train-auc:0.874416
[45] eval-auc:0.699774 train-auc:0.876919
[46] eval-auc:0.697785 train-auc:0.878439
[47] eval-auc:0.697032 train-auc:0.881214
[48] eval-auc:0.697589 train-auc:0.884363
[49] eval-auc:0.698376 train-auc:0.887782
[50] eval-auc:0.696582 train-auc:0.88924
[51] eval-auc:0.697947 train-auc:0.890368
[52] eval-auc:0.693764 train-auc:0.890264
[53] eval-auc:0.693264 train-auc:0.891079
[54] eval-auc:0.690753 train-auc:0.893006
[55] eval-auc:0.689992 train-auc:0.893369
[56] eval-auc:0.688754 train-auc:0.894247
[57] eval-auc:0.689902 train-auc:0.895865
[58] eval-auc:0.689965 train-auc:0.896173
[59] eval-auc:0.692316 train-auc:0.897571
[60] eval-auc:0.69234 train-auc:0.900276
[61] eval-auc:0.692747 train-auc:0.900115
[62] eval-auc:0.693063 train-auc:0.901568
[63] eval-auc:0.689873 train-auc:0.902299
[64] eval-auc:0.690744 train-auc:0.903324
[65] eval-auc:0.692281 train-auc:0.903691
[66] eval-auc:0.692744 train-auc:0.905242
[67] eval-auc:0.692139 train-auc:0.905537
[68] eval-auc:0.691784 train-auc:0.907155
[69] eval-auc:0.690893 train-auc:0.909079
[70] eval-auc:0.690539 train-auc:0.909393
[71] eval-auc:0.690102 train-auc:0.910086
[72] eval-auc:0.691011 train-auc:0.911195
[73] eval-auc:0.691129 train-auc:0.911924
[74] eval-auc:0.6904 train-auc:0.912488
[75] eval-auc:0.68969 train-auc:0.913339
[76] eval-auc:0.6895 train-auc:0.914136
[77] eval-auc:0.688603 train-auc:0.914197
[78] eval-auc:0.689179 train-auc:0.914749
[79] eval-auc:0.691005 train-auc:0.91644
[80] eval-auc:0.691206 train-auc:0.917544
[81] eval-auc:0.691588 train-auc:0.918948
[82] eval-auc:0.693024 train-auc:0.919231
[83] eval-auc:0.692954 train-auc:0.919226
[84] eval-auc:0.694018 train-auc:0.919387
[85] eval-auc:0.696171 train-auc:0.921509
[86] eval-auc:0.695763 train-auc:0.922431
[87] eval-auc:0.696325 train-auc:0.923244
[88] eval-auc:0.694656 train-auc:0.924308
[89] eval-auc:0.694321 train-auc:0.925459
[90] eval-auc:0.695128 train-auc:0.925683
[91] eval-auc:0.695819 train-auc:0.926412
[92] eval-auc:0.696197 train-auc:0.927074
[93] eval-auc:0.695181 train-auc:0.927527
[94] eval-auc:0.692702 train-auc:0.928802
[95] eval-auc:0.692724 train-auc:0.929391
[96] eval-auc:0.694543 train-auc:0.930644
[97] eval-auc:0.694818 train-auc:0.930806
[98] eval-auc:0.694578 train-auc:0.93224
[99] eval-auc:0.693942 train-auc:0.932703
[100] eval-auc:0.693523 train-auc:0.93329
[101] eval-auc:0.694269 train-auc:0.933676
[102] eval-auc:0.695133 train-auc:0.93447
[103] eval-auc:0.694632 train-auc:0.935441
[104] eval-auc:0.695632 train-auc:0.936134
[105] eval-auc:0.696014 train-auc:0.936464
[106] eval-auc:0.695996 train-auc:0.937366
[107] eval-auc:0.696156 train-auc:0.938027
[108] eval-auc:0.697315 train-auc:0.939478
[109] eval-auc:0.696299 train-auc:0.939388
[110] eval-auc:0.695468 train-auc:0.939784
[111] eval-auc:0.696576 train-auc:0.940593
[112] eval-auc:0.696674 train-auc:0.94186
[113] eval-auc:0.697156 train-auc:0.942459
[114] eval-auc:0.697688 train-auc:0.942575
[115] eval-auc:0.696828 train-auc:0.943146
[116] eval-auc:0.696715 train-auc:0.943677
[117] eval-auc:0.695888 train-auc:0.944075
[118] eval-auc:0.696028 train-auc:0.944937
[119] eval-auc:0.696687 train-auc:0.94562
[120] eval-auc:0.696199 train-auc:0.945882
[121] eval-auc:0.695544 train-auc:0.946411
[122] eval-auc:0.694234 train-auc:0.947419
[123] eval-auc:0.69354 train-auc:0.947663
[124] eval-auc:0.69426 train-auc:0.948317
[125] eval-auc:0.692597 train-auc:0.949152
[126] eval-auc:0.692567 train-auc:0.95019
[127] eval-auc:0.693066 train-auc:0.951039
[128] eval-auc:0.691684 train-auc:0.951672
[129] eval-auc:0.692737 train-auc:0.95199
[130] eval-auc:0.692003 train-auc:0.95234
[131] eval-auc:0.692054 train-auc:0.952808
[132] eval-auc:0.690683 train-auc:0.953302
[133] eval-auc:0.690915 train-auc:0.95395
[134] eval-auc:0.690694 train-auc:0.954314
[135] eval-auc:0.692235 train-auc:0.955139
[136] eval-auc:0.692779 train-auc:0.955697
[137] eval-auc:0.691965 train-auc:0.956229
[138] eval-auc:0.692302 train-auc:0.957304
[139] eval-auc:0.692007 train-auc:0.957125
[140] eval-auc:0.69121 train-auc:0.957728
[141] eval-auc:0.69098 train-auc:0.957747
[142] eval-auc:0.690974 train-auc:0.958037
[143] eval-auc:0.690618 train-auc:0.958242
[144] eval-auc:0.690898 train-auc:0.958728
[145] eval-auc:0.690466 train-auc:0.958916
[146] eval-auc:0.690639 train-auc:0.959361
[147] eval-auc:0.69132 train-auc:0.959982
[148] eval-auc:0.692374 train-auc:0.960369
[149] eval-auc:0.692171 train-auc:0.960496
[150] eval-auc:0.691941 train-auc:0.960528
[151] eval-auc:0.692169 train-auc:0.961079
[152] eval-auc:0.691699 train-auc:0.961763
[153] eval-auc:0.691641 train-auc:0.962118
[154] eval-auc:0.691981 train-auc:0.962661
Score 0.6919806551425891
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9, 'eta': 0.1, 'eval_metric': 'auc', 'gamma': 0.9500000000000001, 'max_depth': 3, 'min_child_weight': 2.0, 'n_estimators': 692.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.720253 train-auc:0.715388
[1] eval-auc:0.702941 train-auc:0.726016
[2] eval-auc:0.698786 train-auc:0.734754
[3] eval-auc:0.699088 train-auc:0.735262
[4] eval-auc:0.701591 train-auc:0.736424
[5] eval-auc:0.696624 train-auc:0.743987
[6] eval-auc:0.699484 train-auc:0.743693
[7] eval-auc:0.700691 train-auc:0.746308
[8] eval-auc:0.701271 train-auc:0.746656
[9] eval-auc:0.703773 train-auc:0.746143
[10] eval-auc:0.705701 train-auc:0.750023
[11] eval-auc:0.706486 train-auc:0.755557
[12] eval-auc:0.706717 train-auc:0.754992
[13] eval-auc:0.705968 train-auc:0.755971
[14] eval-auc:0.704271 train-auc:0.755653
[15] eval-auc:0.703381 train-auc:0.758083
[16] eval-auc:0.701878 train-auc:0.760201
[17] eval-auc:0.700912 train-auc:0.76312
[18] eval-auc:0.700476 train-auc:0.763514
[19] eval-auc:0.69891 train-auc:0.765282
[20] eval-auc:0.700794 train-auc:0.765027
[21] eval-auc:0.701387 train-auc:0.767033
[22] eval-auc:0.701451 train-auc:0.768312
[23] eval-auc:0.700205 train-auc:0.771809
[24] eval-auc:0.700059 train-auc:0.773986
[25] eval-auc:0.699224 train-auc:0.775755
[26] eval-auc:0.69984 train-auc:0.778577
[27] eval-auc:0.700226 train-auc:0.781055
[28] eval-auc:0.702199 train-auc:0.781491
[29] eval-auc:0.702842 train-auc:0.782553
[30] eval-auc:0.703553 train-auc:0.784621
[31] eval-auc:0.704064 train-auc:0.785864
[32] eval-auc:0.704565 train-auc:0.786951
[33] eval-auc:0.703182 train-auc:0.789896
[34] eval-auc:0.703363 train-auc:0.79184
[35] eval-auc:0.702821 train-auc:0.793066
[36] eval-auc:0.703771 train-auc:0.794525
[37] eval-auc:0.705406 train-auc:0.795833
[38] eval-auc:0.705869 train-auc:0.796002
[39] eval-auc:0.70742 train-auc:0.80009
[40] eval-auc:0.707511 train-auc:0.800212
[41] eval-auc:0.708054 train-auc:0.800696
[42] eval-auc:0.708407 train-auc:0.800989
[43] eval-auc:0.707666 train-auc:0.80321
[44] eval-auc:0.708688 train-auc:0.805238
[45] eval-auc:0.708303 train-auc:0.806181
[46] eval-auc:0.707945 train-auc:0.807825
[47] eval-auc:0.708384 train-auc:0.808279
[48] eval-auc:0.708562 train-auc:0.810856
[49] eval-auc:0.707012 train-auc:0.812577
[50] eval-auc:0.706879 train-auc:0.812732
[51] eval-auc:0.70775 train-auc:0.814011
[52] eval-auc:0.70876 train-auc:0.814307
[53] eval-auc:0.708884 train-auc:0.816664
[54] eval-auc:0.710086 train-auc:0.817915
[55] eval-auc:0.709896 train-auc:0.817745
[56] eval-auc:0.710014 train-auc:0.817665
[57] eval-auc:0.710258 train-auc:0.818152
[58] eval-auc:0.709618 train-auc:0.820313
[59] eval-auc:0.709771 train-auc:0.822169
[60] eval-auc:0.709509 train-auc:0.823502
[61] eval-auc:0.708689 train-auc:0.824664
[62] eval-auc:0.70852 train-auc:0.825864
[63] eval-auc:0.709466 train-auc:0.827977
[64] eval-auc:0.709207 train-auc:0.828242
[65] eval-auc:0.709412 train-auc:0.828249
[66] eval-auc:0.71007 train-auc:0.830088
[67] eval-auc:0.71023 train-auc:0.830447
[68] eval-auc:0.7104 train-auc:0.830496
[69] eval-auc:0.71187 train-auc:0.832875
[70] eval-auc:0.711252 train-auc:0.833818
[71] eval-auc:0.710431 train-auc:0.835154
[72] eval-auc:0.711831 train-auc:0.837427
[73] eval-auc:0.712499 train-auc:0.839425
[74] eval-auc:0.712835 train-auc:0.840951
[75] eval-auc:0.71352 train-auc:0.841256
[76] eval-auc:0.714531 train-auc:0.84279
[77] eval-auc:0.714729 train-auc:0.843217
[78] eval-auc:0.714927 train-auc:0.844172
[79] eval-auc:0.715212 train-auc:0.845055
[80] eval-auc:0.715067 train-auc:0.845894
[81] eval-auc:0.714849 train-auc:0.845999
[82] eval-auc:0.713227 train-auc:0.847549
[83] eval-auc:0.712177 train-auc:0.848199
[84] eval-auc:0.7114 train-auc:0.849235
[85] eval-auc:0.712236 train-auc:0.850659
[86] eval-auc:0.711415 train-auc:0.851471
[87] eval-auc:0.711654 train-auc:0.851563
[88] eval-auc:0.711549 train-auc:0.852718
[89] eval-auc:0.711158 train-auc:0.85301
[90] eval-auc:0.711255 train-auc:0.853081
[91] eval-auc:0.711644 train-auc:0.853663
[92] eval-auc:0.711336 train-auc:0.854813
[93] eval-auc:0.711766 train-auc:0.854967
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[95] eval-auc:0.713377 train-auc:0.856643
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[100] eval-auc:0.711916 train-auc:0.86157
[101] eval-auc:0.712443 train-auc:0.862384
[102] eval-auc:0.713826 train-auc:0.863963
[103] eval-auc:0.713952 train-auc:0.864318
[104] eval-auc:0.713747 train-auc:0.864804
[105] eval-auc:0.712621 train-auc:0.865399
[106] eval-auc:0.712627 train-auc:0.865548
[107] eval-auc:0.712944 train-auc:0.866364
[108] eval-auc:0.712594 train-auc:0.867183
[109] eval-auc:0.712289 train-auc:0.867927
[110] eval-auc:0.712012 train-auc:0.86814
[111] eval-auc:0.712233 train-auc:0.868708
[112] eval-auc:0.71099 train-auc:0.87036
[113] eval-auc:0.711 train-auc:0.87071
[114] eval-auc:0.711727 train-auc:0.872057
[115] eval-auc:0.711583 train-auc:0.872443
[116] eval-auc:0.711039 train-auc:0.873495
[117] eval-auc:0.710835 train-auc:0.874213
[118] eval-auc:0.711626 train-auc:0.874763
[119] eval-auc:0.711415 train-auc:0.874874
[120] eval-auc:0.711289 train-auc:0.876036
[121] eval-auc:0.710622 train-auc:0.876851
[122] eval-auc:0.710631 train-auc:0.877876
[123] eval-auc:0.710339 train-auc:0.879303
[124] eval-auc:0.710808 train-auc:0.879723
[125] eval-auc:0.70976 train-auc:0.880892
[126] eval-auc:0.709574 train-auc:0.881271
[127] eval-auc:0.70967 train-auc:0.88137
[128] eval-auc:0.709894 train-auc:0.881785
[129] eval-auc:0.710069 train-auc:0.882334
[130] eval-auc:0.709768 train-auc:0.882758
[131] eval-auc:0.709963 train-auc:0.883856
[132] eval-auc:0.709957 train-auc:0.884328
[133] eval-auc:0.708834 train-auc:0.884547
[134] eval-auc:0.708853 train-auc:0.885851
[135] eval-auc:0.708344 train-auc:0.887264
[136] eval-auc:0.70814 train-auc:0.887421
[137] eval-auc:0.707933 train-auc:0.889058
[138] eval-auc:0.709285 train-auc:0.889397
[139] eval-auc:0.709244 train-auc:0.889674
[140] eval-auc:0.70936 train-auc:0.889722
[141] eval-auc:0.709386 train-auc:0.890125
[142] eval-auc:0.708796 train-auc:0.890824
[143] eval-auc:0.70879 train-auc:0.891191
[144] eval-auc:0.708355 train-auc:0.891732
[145] eval-auc:0.708409 train-auc:0.891787
[146] eval-auc:0.707235 train-auc:0.892824
[147] eval-auc:0.706734 train-auc:0.892784
[148] eval-auc:0.707143 train-auc:0.893091
[149] eval-auc:0.706893 train-auc:0.893817
[150] eval-auc:0.707088 train-auc:0.895019
[151] eval-auc:0.706974 train-auc:0.895041
[152] eval-auc:0.707245 train-auc:0.894791
[153] eval-auc:0.707656 train-auc:0.895487
[154] eval-auc:0.707487 train-auc:0.895433
[155] eval-auc:0.707657 train-auc:0.895757
[156] eval-auc:0.707962 train-auc:0.895914
[157] eval-auc:0.706998 train-auc:0.896129
[158] eval-auc:0.707111 train-auc:0.896816
[159] eval-auc:0.708009 train-auc:0.896915
[160] eval-auc:0.707677 train-auc:0.897704
[161] eval-auc:0.707085 train-auc:0.8991
[162] eval-auc:0.706964 train-auc:0.899127
[163] eval-auc:0.706261 train-auc:0.899733
[164] eval-auc:0.706537 train-auc:0.900279
[165] eval-auc:0.706096 train-auc:0.901236
[166] eval-auc:0.705777 train-auc:0.90122
[167] eval-auc:0.70551 train-auc:0.902073
[168] eval-auc:0.706396 train-auc:0.903127
[169] eval-auc:0.705838 train-auc:0.903887
[170] eval-auc:0.70613 train-auc:0.904784
[171] eval-auc:0.706393 train-auc:0.905331
[172] eval-auc:0.705708 train-auc:0.905667
[173] eval-auc:0.705812 train-auc:0.906092
[174] eval-auc:0.705672 train-auc:0.906082
[175] eval-auc:0.705733 train-auc:0.906415
[176] eval-auc:0.70533 train-auc:0.907002
[177] eval-auc:0.705069 train-auc:0.907697
[178] eval-auc:0.704875 train-auc:0.907785
[179] eval-auc:0.704622 train-auc:0.908421
[180] eval-auc:0.704734 train-auc:0.908347
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[182] eval-auc:0.705005 train-auc:0.909823
[183] eval-auc:0.704613 train-auc:0.909981
[184] eval-auc:0.704648 train-auc:0.910263
[185] eval-auc:0.704416 train-auc:0.910634
[186] eval-auc:0.704223 train-auc:0.910873
[187] eval-auc:0.704054 train-auc:0.911154
[188] eval-auc:0.70417 train-auc:0.912129
[189] eval-auc:0.704449 train-auc:0.912826
[190] eval-auc:0.705088 train-auc:0.91294
[191] eval-auc:0.705507 train-auc:0.913627
[192] eval-auc:0.706099 train-auc:0.914239
[193] eval-auc:0.705697 train-auc:0.91476
[194] eval-auc:0.705367 train-auc:0.914955
[195] eval-auc:0.706106 train-auc:0.915904
[196] eval-auc:0.706078 train-auc:0.915949
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[230] eval-auc:0.706148 train-auc:0.926234
[231] eval-auc:0.7059 train-auc:0.926455
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[235] eval-auc:0.706392 train-auc:0.928182
[236] eval-auc:0.705676 train-auc:0.928234
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[238] eval-auc:0.705536 train-auc:0.928945
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[240] eval-auc:0.705924 train-auc:0.929198
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[242] eval-auc:0.705965 train-auc:0.929912
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[244] eval-auc:0.705573 train-auc:0.930484
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[259] eval-auc:0.707182 train-auc:0.934031
[260] eval-auc:0.707167 train-auc:0.934452
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[262] eval-auc:0.707269 train-auc:0.935254
[263] eval-auc:0.70654 train-auc:0.935295
[264] eval-auc:0.706326 train-auc:0.935317
[265] eval-auc:0.706313 train-auc:0.93529
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[268] eval-auc:0.706791 train-auc:0.936086
[269] eval-auc:0.706846 train-auc:0.936127
[270] eval-auc:0.70736 train-auc:0.936801
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[275] eval-auc:0.705924 train-auc:0.938322
[276] eval-auc:0.706238 train-auc:0.938569
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[278] eval-auc:0.705894 train-auc:0.939123
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[280] eval-auc:0.705225 train-auc:0.939218
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[283] eval-auc:0.705347 train-auc:0.940017
[284] eval-auc:0.705239 train-auc:0.940204
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[286] eval-auc:0.705466 train-auc:0.940394
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[290] eval-auc:0.705413 train-auc:0.940951
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[292] eval-auc:0.705422 train-auc:0.941453
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[682] eval-auc:0.698924 train-auc:0.984317
[683] eval-auc:0.698646 train-auc:0.9843
[684] eval-auc:0.698961 train-auc:0.984338
[685] eval-auc:0.698786 train-auc:0.984374
[686] eval-auc:0.698553 train-auc:0.98445
[687] eval-auc:0.698416 train-auc:0.984497
[688] eval-auc:0.698299 train-auc:0.984493
[689] eval-auc:0.698032 train-auc:0.984487
[690] eval-auc:0.698117 train-auc:0.984509
[691] eval-auc:0.69804 train-auc:0.984519
Score 0.698039627721132
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8, 'eta': 0.275, 'eval_metric': 'auc', 'gamma': 1.0, 'max_depth': 3, 'min_child_weight': 1.0, 'n_estimators': 215.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9, 'tree_method': 'exact'}
[0] eval-auc:0.670001 train-auc:0.693693
[1] eval-auc:0.670798 train-auc:0.710741
[2] eval-auc:0.68463 train-auc:0.721482
[3] eval-auc:0.686442 train-auc:0.731941
[4] eval-auc:0.697341 train-auc:0.746886
[5] eval-auc:0.693946 train-auc:0.743084
[6] eval-auc:0.694403 train-auc:0.74545
[7] eval-auc:0.692355 train-auc:0.746471
[8] eval-auc:0.695709 train-auc:0.752652
[9] eval-auc:0.69751 train-auc:0.760169
[10] eval-auc:0.696071 train-auc:0.764102
[11] eval-auc:0.695344 train-auc:0.767303
[12] eval-auc:0.697066 train-auc:0.771052
[13] eval-auc:0.698327 train-auc:0.772631
[14] eval-auc:0.698806 train-auc:0.771965
[15] eval-auc:0.699289 train-auc:0.773491
[16] eval-auc:0.69849 train-auc:0.779137
[17] eval-auc:0.695844 train-auc:0.783167
[18] eval-auc:0.69552 train-auc:0.78598
[19] eval-auc:0.695861 train-auc:0.790406
[20] eval-auc:0.695921 train-auc:0.790595
[21] eval-auc:0.69719 train-auc:0.792382
[22] eval-auc:0.694042 train-auc:0.796843
[23] eval-auc:0.694241 train-auc:0.800947
[24] eval-auc:0.692647 train-auc:0.805076
[25] eval-auc:0.693349 train-auc:0.808388
[26] eval-auc:0.689828 train-auc:0.811561
[27] eval-auc:0.691353 train-auc:0.8132
[28] eval-auc:0.690989 train-auc:0.816893
[29] eval-auc:0.691043 train-auc:0.818802
[30] eval-auc:0.692034 train-auc:0.821271
[31] eval-auc:0.692795 train-auc:0.823932
[32] eval-auc:0.692344 train-auc:0.825766
[33] eval-auc:0.692345 train-auc:0.829152
[34] eval-auc:0.69082 train-auc:0.831277
[35] eval-auc:0.691365 train-auc:0.833705
[36] eval-auc:0.692907 train-auc:0.836999
[37] eval-auc:0.69381 train-auc:0.839655
[38] eval-auc:0.694192 train-auc:0.843144
[39] eval-auc:0.69469 train-auc:0.846285
[40] eval-auc:0.69507 train-auc:0.846747
[41] eval-auc:0.693663 train-auc:0.849332
[42] eval-auc:0.693783 train-auc:0.851025
[43] eval-auc:0.692275 train-auc:0.852339
[44] eval-auc:0.69323 train-auc:0.854988
[45] eval-auc:0.695258 train-auc:0.856503
[46] eval-auc:0.697664 train-auc:0.862999
[47] eval-auc:0.698799 train-auc:0.864728
[48] eval-auc:0.699456 train-auc:0.865654
[49] eval-auc:0.698935 train-auc:0.866664
[50] eval-auc:0.697947 train-auc:0.866312
[51] eval-auc:0.697056 train-auc:0.867478
[52] eval-auc:0.69495 train-auc:0.868413
[53] eval-auc:0.695819 train-auc:0.87096
[54] eval-auc:0.69424 train-auc:0.872804
[55] eval-auc:0.69438 train-auc:0.873165
[56] eval-auc:0.694784 train-auc:0.874881
[57] eval-auc:0.693569 train-auc:0.875449
[58] eval-auc:0.691268 train-auc:0.877493
[59] eval-auc:0.692448 train-auc:0.879598
[60] eval-auc:0.690651 train-auc:0.88083
[61] eval-auc:0.690131 train-auc:0.882825
[62] eval-auc:0.690204 train-auc:0.883885
[63] eval-auc:0.690481 train-auc:0.885683
[64] eval-auc:0.690283 train-auc:0.886391
[65] eval-auc:0.690941 train-auc:0.887384
[66] eval-auc:0.691941 train-auc:0.888204
[67] eval-auc:0.691713 train-auc:0.888533
[68] eval-auc:0.690804 train-auc:0.890024
[69] eval-auc:0.691104 train-auc:0.890685
[70] eval-auc:0.689392 train-auc:0.893185
[71] eval-auc:0.68858 train-auc:0.89444
[72] eval-auc:0.688067 train-auc:0.896514
[73] eval-auc:0.689005 train-auc:0.898726
[74] eval-auc:0.688791 train-auc:0.899645
[75] eval-auc:0.689442 train-auc:0.900743
[76] eval-auc:0.691009 train-auc:0.901862
[77] eval-auc:0.691018 train-auc:0.902086
[78] eval-auc:0.691507 train-auc:0.902136
[79] eval-auc:0.691378 train-auc:0.902636
[80] eval-auc:0.689538 train-auc:0.903776
[81] eval-auc:0.688565 train-auc:0.904128
[82] eval-auc:0.689719 train-auc:0.904907
[83] eval-auc:0.690318 train-auc:0.903673
[84] eval-auc:0.690303 train-auc:0.905321
[85] eval-auc:0.690092 train-auc:0.906475
[86] eval-auc:0.690414 train-auc:0.906795
[87] eval-auc:0.690429 train-auc:0.907495
[88] eval-auc:0.690983 train-auc:0.907761
[89] eval-auc:0.690696 train-auc:0.909543
[90] eval-auc:0.690135 train-auc:0.91066
[91] eval-auc:0.690135 train-auc:0.911434
[92] eval-auc:0.689404 train-auc:0.912707
[93] eval-auc:0.689448 train-auc:0.913511
[94] eval-auc:0.68851 train-auc:0.914466
[95] eval-auc:0.689189 train-auc:0.915923
[96] eval-auc:0.688544 train-auc:0.916563
[97] eval-auc:0.689628 train-auc:0.917521
[98] eval-auc:0.689395 train-auc:0.91939
[99] eval-auc:0.689777 train-auc:0.919816
[100] eval-auc:0.688602 train-auc:0.919928
[101] eval-auc:0.689456 train-auc:0.920151
[102] eval-auc:0.689488 train-auc:0.921353
[103] eval-auc:0.688434 train-auc:0.921588
[104] eval-auc:0.687472 train-auc:0.922047
[105] eval-auc:0.6897 train-auc:0.924337
[106] eval-auc:0.690021 train-auc:0.924654
[107] eval-auc:0.689028 train-auc:0.925441
[108] eval-auc:0.688472 train-auc:0.926347
[109] eval-auc:0.688017 train-auc:0.926935
[110] eval-auc:0.688172 train-auc:0.926512
[111] eval-auc:0.687702 train-auc:0.926688
[112] eval-auc:0.687306 train-auc:0.927103
[113] eval-auc:0.686394 train-auc:0.928322
[114] eval-auc:0.686639 train-auc:0.928997
[115] eval-auc:0.685928 train-auc:0.929622
[116] eval-auc:0.687071 train-auc:0.931121
[117] eval-auc:0.687163 train-auc:0.932132
[118] eval-auc:0.686858 train-auc:0.932494
[119] eval-auc:0.688184 train-auc:0.933644
[120] eval-auc:0.68876 train-auc:0.933915
[121] eval-auc:0.688911 train-auc:0.935261
[122] eval-auc:0.688309 train-auc:0.935642
[123] eval-auc:0.688535 train-auc:0.935999
[124] eval-auc:0.688666 train-auc:0.936544
[125] eval-auc:0.68962 train-auc:0.937332
[126] eval-auc:0.68848 train-auc:0.938095
[127] eval-auc:0.688538 train-auc:0.938878
[128] eval-auc:0.6891 train-auc:0.939527
[129] eval-auc:0.688676 train-auc:0.939796
[130] eval-auc:0.68853 train-auc:0.940209
[131] eval-auc:0.689305 train-auc:0.940416
[132] eval-auc:0.689106 train-auc:0.9407
[133] eval-auc:0.689173 train-auc:0.941124
[134] eval-auc:0.689931 train-auc:0.941555
[135] eval-auc:0.690762 train-auc:0.94192
[136] eval-auc:0.690819 train-auc:0.942689
[137] eval-auc:0.694041 train-auc:0.94435
[138] eval-auc:0.695453 train-auc:0.94494
[139] eval-auc:0.694571 train-auc:0.945753
[140] eval-auc:0.695241 train-auc:0.945842
[141] eval-auc:0.695028 train-auc:0.946151
[142] eval-auc:0.693538 train-auc:0.946272
[143] eval-auc:0.693103 train-auc:0.946989
[144] eval-auc:0.69334 train-auc:0.947407
[145] eval-auc:0.694055 train-auc:0.94795
[146] eval-auc:0.69364 train-auc:0.948299
[147] eval-auc:0.693037 train-auc:0.948229
[148] eval-auc:0.692868 train-auc:0.948767
[149] eval-auc:0.693733 train-auc:0.949163
[150] eval-auc:0.694073 train-auc:0.949557
[151] eval-auc:0.694985 train-auc:0.950223
[152] eval-auc:0.694359 train-auc:0.950396
[153] eval-auc:0.694712 train-auc:0.950777
[154] eval-auc:0.695189 train-auc:0.951764
[155] eval-auc:0.695608 train-auc:0.952682
[156] eval-auc:0.696843 train-auc:0.952946
[157] eval-auc:0.695926 train-auc:0.953517
[158] eval-auc:0.695392 train-auc:0.953719
[159] eval-auc:0.695655 train-auc:0.954301
[160] eval-auc:0.696346 train-auc:0.954681
[161] eval-auc:0.696092 train-auc:0.955274
[162] eval-auc:0.697006 train-auc:0.9554
[163] eval-auc:0.69532 train-auc:0.955361
[164] eval-auc:0.69544 train-auc:0.955816
[165] eval-auc:0.69558 train-auc:0.956199
[166] eval-auc:0.695711 train-auc:0.956393
[167] eval-auc:0.695722 train-auc:0.956661
[168] eval-auc:0.696395 train-auc:0.957482
[169] eval-auc:0.695966 train-auc:0.957703
[170] eval-auc:0.695823 train-auc:0.957769
[171] eval-auc:0.6959 train-auc:0.958018
[172] eval-auc:0.696566 train-auc:0.958454
[173] eval-auc:0.696922 train-auc:0.958796
[174] eval-auc:0.697025 train-auc:0.958917
[175] eval-auc:0.696448 train-auc:0.959111
[176] eval-auc:0.696687 train-auc:0.959429
[177] eval-auc:0.697178 train-auc:0.960046
[178] eval-auc:0.696986 train-auc:0.960359
[179] eval-auc:0.696486 train-auc:0.960292
[180] eval-auc:0.696677 train-auc:0.961015
[181] eval-auc:0.696304 train-auc:0.961149
[182] eval-auc:0.696086 train-auc:0.961382
[183] eval-auc:0.695516 train-auc:0.961427
[184] eval-auc:0.696142 train-auc:0.961671
[185] eval-auc:0.696185 train-auc:0.962509
[186] eval-auc:0.697096 train-auc:0.962723
[187] eval-auc:0.696605 train-auc:0.963111
[188] eval-auc:0.695944 train-auc:0.963373
[189] eval-auc:0.696241 train-auc:0.963534
[190] eval-auc:0.696584 train-auc:0.963451
[191] eval-auc:0.697555 train-auc:0.963847
[192] eval-auc:0.696965 train-auc:0.964292
[193] eval-auc:0.697566 train-auc:0.964662
[194] eval-auc:0.697714 train-auc:0.964954
[195] eval-auc:0.696538 train-auc:0.965781
[196] eval-auc:0.696383 train-auc:0.966096
[197] eval-auc:0.696025 train-auc:0.96608
[198] eval-auc:0.695421 train-auc:0.966354
[199] eval-auc:0.694898 train-auc:0.966823
[200] eval-auc:0.694952 train-auc:0.966987
[201] eval-auc:0.695175 train-auc:0.966943
[202] eval-auc:0.694569 train-auc:0.967277
[203] eval-auc:0.694257 train-auc:0.967826
[204] eval-auc:0.694149 train-auc:0.967955
[205] eval-auc:0.693895 train-auc:0.968604
[206] eval-auc:0.694656 train-auc:0.969009
[207] eval-auc:0.694717 train-auc:0.969401
[208] eval-auc:0.694262 train-auc:0.969583
[209] eval-auc:0.694609 train-auc:0.969829
[210] eval-auc:0.694131 train-auc:0.969697
[211] eval-auc:0.694486 train-auc:0.969738
[212] eval-auc:0.69446 train-auc:0.97004
[213] eval-auc:0.694204 train-auc:0.970238
[214] eval-auc:0.694208 train-auc:0.970719
Score 0.6942084201293719
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8500000000000001, 'eta': 0.1, 'eval_metric': 'auc', 'gamma': 0.9500000000000001, 'max_depth': 3, 'min_child_weight': 1.0, 'n_estimators': 599.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.720253 train-auc:0.715388
[1] eval-auc:0.702941 train-auc:0.726016
[2] eval-auc:0.698786 train-auc:0.734754
[3] eval-auc:0.699088 train-auc:0.735262
[4] eval-auc:0.701591 train-auc:0.736424
[5] eval-auc:0.696624 train-auc:0.743987
[6] eval-auc:0.699484 train-auc:0.743693
[7] eval-auc:0.700691 train-auc:0.746308
[8] eval-auc:0.701271 train-auc:0.746656
[9] eval-auc:0.703773 train-auc:0.746143
[10] eval-auc:0.705701 train-auc:0.750023
[11] eval-auc:0.706486 train-auc:0.755557
[12] eval-auc:0.706717 train-auc:0.754992
[13] eval-auc:0.705968 train-auc:0.755971
[14] eval-auc:0.704271 train-auc:0.755653
[15] eval-auc:0.703381 train-auc:0.758083
[16] eval-auc:0.701878 train-auc:0.760201
[17] eval-auc:0.700912 train-auc:0.76312
[18] eval-auc:0.700476 train-auc:0.763514
[19] eval-auc:0.69891 train-auc:0.765282
[20] eval-auc:0.700794 train-auc:0.765027
[21] eval-auc:0.701387 train-auc:0.767033
[22] eval-auc:0.701451 train-auc:0.768312
[23] eval-auc:0.700205 train-auc:0.771809
[24] eval-auc:0.700059 train-auc:0.773986
[25] eval-auc:0.699224 train-auc:0.775755
[26] eval-auc:0.69984 train-auc:0.778577
[27] eval-auc:0.700226 train-auc:0.781055
[28] eval-auc:0.702199 train-auc:0.781491
[29] eval-auc:0.702842 train-auc:0.782553
[30] eval-auc:0.703553 train-auc:0.784621
[31] eval-auc:0.704064 train-auc:0.785864
[32] eval-auc:0.704565 train-auc:0.786951
[33] eval-auc:0.703182 train-auc:0.789896
[34] eval-auc:0.703363 train-auc:0.79184
[35] eval-auc:0.702821 train-auc:0.793066
[36] eval-auc:0.703771 train-auc:0.794525
[37] eval-auc:0.705406 train-auc:0.795833
[38] eval-auc:0.705869 train-auc:0.796002
[39] eval-auc:0.70742 train-auc:0.80009
[40] eval-auc:0.707511 train-auc:0.800212
[41] eval-auc:0.708054 train-auc:0.800696
[42] eval-auc:0.708407 train-auc:0.800989
[43] eval-auc:0.707666 train-auc:0.80321
[44] eval-auc:0.708688 train-auc:0.805238
[45] eval-auc:0.708303 train-auc:0.806181
[46] eval-auc:0.707945 train-auc:0.807825
[47] eval-auc:0.708384 train-auc:0.808279
[48] eval-auc:0.708562 train-auc:0.810856
[49] eval-auc:0.707012 train-auc:0.812577
[50] eval-auc:0.706879 train-auc:0.812732
[51] eval-auc:0.70775 train-auc:0.814011
[52] eval-auc:0.70876 train-auc:0.814307
[53] eval-auc:0.708884 train-auc:0.816664
[54] eval-auc:0.710086 train-auc:0.817915
[55] eval-auc:0.709896 train-auc:0.817745
[56] eval-auc:0.710014 train-auc:0.817665
[57] eval-auc:0.710258 train-auc:0.818152
[58] eval-auc:0.709618 train-auc:0.820313
[59] eval-auc:0.709552 train-auc:0.822431
[60] eval-auc:0.709305 train-auc:0.823739
[61] eval-auc:0.708467 train-auc:0.824889
[62] eval-auc:0.708255 train-auc:0.826104
[63] eval-auc:0.709248 train-auc:0.828213
[64] eval-auc:0.708986 train-auc:0.828479
[65] eval-auc:0.709185 train-auc:0.828373
[66] eval-auc:0.709823 train-auc:0.830215
[67] eval-auc:0.710119 train-auc:0.830554
[68] eval-auc:0.710341 train-auc:0.833097
[69] eval-auc:0.711789 train-auc:0.83537
[70] eval-auc:0.7116 train-auc:0.836106
[71] eval-auc:0.710707 train-auc:0.837426
[72] eval-auc:0.709836 train-auc:0.83856
[73] eval-auc:0.709947 train-auc:0.83857
[74] eval-auc:0.710442 train-auc:0.84021
[75] eval-auc:0.710893 train-auc:0.840198
[76] eval-auc:0.711764 train-auc:0.841212
[77] eval-auc:0.71194 train-auc:0.841774
[78] eval-auc:0.711689 train-auc:0.843053
[79] eval-auc:0.713036 train-auc:0.843884
[80] eval-auc:0.712665 train-auc:0.845001
[81] eval-auc:0.712763 train-auc:0.845139
[82] eval-auc:0.711196 train-auc:0.846567
[83] eval-auc:0.710299 train-auc:0.847443
[84] eval-auc:0.709504 train-auc:0.848477
[85] eval-auc:0.710794 train-auc:0.850165
[86] eval-auc:0.71124 train-auc:0.850083
[87] eval-auc:0.710819 train-auc:0.851714
[88] eval-auc:0.710342 train-auc:0.853487
[89] eval-auc:0.709885 train-auc:0.853671
[90] eval-auc:0.710148 train-auc:0.853838
[91] eval-auc:0.709947 train-auc:0.854477
[92] eval-auc:0.709855 train-auc:0.855491
[93] eval-auc:0.710078 train-auc:0.855439
[94] eval-auc:0.7109 train-auc:0.85733
[95] eval-auc:0.710426 train-auc:0.85764
[96] eval-auc:0.709867 train-auc:0.858168
[97] eval-auc:0.709979 train-auc:0.859109
[98] eval-auc:0.709162 train-auc:0.860536
[99] eval-auc:0.709468 train-auc:0.861012
[100] eval-auc:0.709381 train-auc:0.860915
[101] eval-auc:0.709979 train-auc:0.861612
[102] eval-auc:0.710669 train-auc:0.862832
[103] eval-auc:0.710444 train-auc:0.86339
[104] eval-auc:0.710922 train-auc:0.864463
[105] eval-auc:0.709699 train-auc:0.865162
[106] eval-auc:0.709596 train-auc:0.865297
[107] eval-auc:0.709454 train-auc:0.86574
[108] eval-auc:0.709118 train-auc:0.866532
[109] eval-auc:0.708853 train-auc:0.867643
[110] eval-auc:0.708574 train-auc:0.867948
[111] eval-auc:0.708821 train-auc:0.868638
[112] eval-auc:0.708945 train-auc:0.869384
[113] eval-auc:0.708615 train-auc:0.869908
[114] eval-auc:0.709346 train-auc:0.871069
[115] eval-auc:0.709061 train-auc:0.871456
[116] eval-auc:0.709206 train-auc:0.872809
[117] eval-auc:0.70878 train-auc:0.873749
[118] eval-auc:0.708582 train-auc:0.873994
[119] eval-auc:0.708713 train-auc:0.874862
[120] eval-auc:0.70914 train-auc:0.876689
[121] eval-auc:0.708496 train-auc:0.877555
[122] eval-auc:0.708804 train-auc:0.878017
[123] eval-auc:0.709256 train-auc:0.879199
[124] eval-auc:0.70966 train-auc:0.879297
[125] eval-auc:0.709829 train-auc:0.879356
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[495] eval-auc:0.703013 train-auc:0.96966
[496] eval-auc:0.703066 train-auc:0.969765
[497] eval-auc:0.70311 train-auc:0.969762
[498] eval-auc:0.702909 train-auc:0.969916
[499] eval-auc:0.703113 train-auc:0.970111
[500] eval-auc:0.703072 train-auc:0.970123
[501] eval-auc:0.702858 train-auc:0.970109
[502] eval-auc:0.702515 train-auc:0.970349
[503] eval-auc:0.702538 train-auc:0.970591
[504] eval-auc:0.702051 train-auc:0.970671
[505] eval-auc:0.701942 train-auc:0.97093
[506] eval-auc:0.701912 train-auc:0.971048
[507] eval-auc:0.701917 train-auc:0.971231
[508] eval-auc:0.702044 train-auc:0.971452
[509] eval-auc:0.70192 train-auc:0.971681
[510] eval-auc:0.702051 train-auc:0.971718
[511] eval-auc:0.702239 train-auc:0.971735
[512] eval-auc:0.702267 train-auc:0.97184
[513] eval-auc:0.702166 train-auc:0.97179
[514] eval-auc:0.702244 train-auc:0.971852
[515] eval-auc:0.702561 train-auc:0.971945
[516] eval-auc:0.702366 train-auc:0.972118
[517] eval-auc:0.702072 train-auc:0.972244
[518] eval-auc:0.702002 train-auc:0.972284
[519] eval-auc:0.70234 train-auc:0.972476
[520] eval-auc:0.702401 train-auc:0.9725
[521] eval-auc:0.702396 train-auc:0.972551
[522] eval-auc:0.702255 train-auc:0.972546
[523] eval-auc:0.701985 train-auc:0.972539
[524] eval-auc:0.701907 train-auc:0.972544
[525] eval-auc:0.701589 train-auc:0.972571
[526] eval-auc:0.70162 train-auc:0.972555
[527] eval-auc:0.701553 train-auc:0.972622
[528] eval-auc:0.701458 train-auc:0.972619
[529] eval-auc:0.700867 train-auc:0.972664
[530] eval-auc:0.700918 train-auc:0.972867
[531] eval-auc:0.700951 train-auc:0.972834
[532] eval-auc:0.700995 train-auc:0.972936
[533] eval-auc:0.701132 train-auc:0.972945
[534] eval-auc:0.701135 train-auc:0.973
[535] eval-auc:0.701266 train-auc:0.973038
[536] eval-auc:0.701379 train-auc:0.97314
[537] eval-auc:0.701457 train-auc:0.973353
[538] eval-auc:0.701295 train-auc:0.973408
[539] eval-auc:0.70121 train-auc:0.973512
[540] eval-auc:0.701228 train-auc:0.973538
[541] eval-auc:0.701212 train-auc:0.973676
[542] eval-auc:0.701247 train-auc:0.9738
[543] eval-auc:0.701447 train-auc:0.973846
[544] eval-auc:0.701132 train-auc:0.973884
[545] eval-auc:0.701208 train-auc:0.974098
[546] eval-auc:0.701056 train-auc:0.974294
[547] eval-auc:0.701219 train-auc:0.974326
[548] eval-auc:0.701163 train-auc:0.974638
[549] eval-auc:0.700972 train-auc:0.974709
[550] eval-auc:0.701103 train-auc:0.974835
[551] eval-auc:0.701452 train-auc:0.97488
[552] eval-auc:0.701793 train-auc:0.975053
[553] eval-auc:0.701865 train-auc:0.975024
[554] eval-auc:0.701481 train-auc:0.975108
[555] eval-auc:0.70162 train-auc:0.975214
[556] eval-auc:0.702003 train-auc:0.975279
[557] eval-auc:0.701661 train-auc:0.975352
[558] eval-auc:0.701677 train-auc:0.975434
[559] eval-auc:0.701636 train-auc:0.975657
[560] eval-auc:0.701694 train-auc:0.975694
[561] eval-auc:0.701705 train-auc:0.975928
[562] eval-auc:0.701798 train-auc:0.976146
[563] eval-auc:0.702003 train-auc:0.976225
[564] eval-auc:0.702247 train-auc:0.97625
[565] eval-auc:0.702396 train-auc:0.976264
[566] eval-auc:0.702367 train-auc:0.976313
[567] eval-auc:0.702414 train-auc:0.976496
[568] eval-auc:0.702366 train-auc:0.976537
[569] eval-auc:0.702462 train-auc:0.976617
[570] eval-auc:0.702337 train-auc:0.976693
[571] eval-auc:0.702343 train-auc:0.976746
[572] eval-auc:0.702533 train-auc:0.976774
[573] eval-auc:0.702344 train-auc:0.976861
[574] eval-auc:0.702556 train-auc:0.976971
[575] eval-auc:0.702212 train-auc:0.977041
[576] eval-auc:0.702343 train-auc:0.977176
[577] eval-auc:0.702544 train-auc:0.97726
[578] eval-auc:0.702743 train-auc:0.977316
[579] eval-auc:0.702721 train-auc:0.97745
[580] eval-auc:0.702777 train-auc:0.977485
[581] eval-auc:0.70259 train-auc:0.977549
[582] eval-auc:0.70246 train-auc:0.977645
[583] eval-auc:0.702509 train-auc:0.977671
[584] eval-auc:0.702145 train-auc:0.977734
[585] eval-auc:0.701731 train-auc:0.977853
[586] eval-auc:0.701754 train-auc:0.977979
[587] eval-auc:0.701749 train-auc:0.977998
[588] eval-auc:0.701719 train-auc:0.978129
[589] eval-auc:0.701665 train-auc:0.978107
[590] eval-auc:0.701344 train-auc:0.978169
[591] eval-auc:0.701218 train-auc:0.978172
[592] eval-auc:0.701568 train-auc:0.978228
[593] eval-auc:0.70163 train-auc:0.978352
[594] eval-auc:0.701397 train-auc:0.978408
[595] eval-auc:0.701607 train-auc:0.978446
[596] eval-auc:0.701495 train-auc:0.978453
[597] eval-auc:0.701346 train-auc:0.978464
[598] eval-auc:0.701356 train-auc:0.978506
Score 0.7013561500322819
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9, 'eta': 0.05, 'eval_metric': 'auc', 'gamma': 1.0, 'max_depth': 3, 'min_child_weight': 2.0, 'n_estimators': 325.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9, 'tree_method': 'exact'}
[0] eval-auc:0.709213 train-auc:0.719387
[1] eval-auc:0.694776 train-auc:0.727936
[2] eval-auc:0.698884 train-auc:0.729071
[3] eval-auc:0.698281 train-auc:0.732545
[4] eval-auc:0.701269 train-auc:0.734383
[5] eval-auc:0.692622 train-auc:0.740709
[6] eval-auc:0.690651 train-auc:0.740716
[7] eval-auc:0.691983 train-auc:0.742816
[8] eval-auc:0.6947 train-auc:0.743738
[9] eval-auc:0.700091 train-auc:0.741069
[10] eval-auc:0.700034 train-auc:0.741803
[11] eval-auc:0.700682 train-auc:0.748541
[12] eval-auc:0.699536 train-auc:0.744646
[13] eval-auc:0.701801 train-auc:0.745224
[14] eval-auc:0.701344 train-auc:0.743994
[15] eval-auc:0.700732 train-auc:0.746238
[16] eval-auc:0.699667 train-auc:0.748369
[17] eval-auc:0.69873 train-auc:0.749924
[18] eval-auc:0.697896 train-auc:0.752576
[19] eval-auc:0.698008 train-auc:0.752594
[20] eval-auc:0.698566 train-auc:0.750265
[21] eval-auc:0.698135 train-auc:0.753051
[22] eval-auc:0.699485 train-auc:0.754136
[23] eval-auc:0.699826 train-auc:0.755871
[24] eval-auc:0.70069 train-auc:0.757737
[25] eval-auc:0.700529 train-auc:0.759525
[26] eval-auc:0.699028 train-auc:0.760838
[27] eval-auc:0.699556 train-auc:0.762679
[28] eval-auc:0.699533 train-auc:0.761058
[29] eval-auc:0.699854 train-auc:0.761825
[30] eval-auc:0.699572 train-auc:0.763282
[31] eval-auc:0.700117 train-auc:0.764486
[32] eval-auc:0.701691 train-auc:0.766252
[33] eval-auc:0.701151 train-auc:0.766633
[34] eval-auc:0.701135 train-auc:0.768968
[35] eval-auc:0.70199 train-auc:0.769395
[36] eval-auc:0.701831 train-auc:0.771032
[37] eval-auc:0.701729 train-auc:0.770791
[38] eval-auc:0.702465 train-auc:0.77059
[39] eval-auc:0.70229 train-auc:0.770942
[40] eval-auc:0.701505 train-auc:0.771855
[41] eval-auc:0.701379 train-auc:0.771692
[42] eval-auc:0.702181 train-auc:0.772041
[43] eval-auc:0.702845 train-auc:0.77334
[44] eval-auc:0.703006 train-auc:0.773703
[45] eval-auc:0.702936 train-auc:0.774574
[46] eval-auc:0.703407 train-auc:0.774916
[47] eval-auc:0.703244 train-auc:0.776496
[48] eval-auc:0.703668 train-auc:0.778045
[49] eval-auc:0.703727 train-auc:0.779599
[50] eval-auc:0.703972 train-auc:0.780112
[51] eval-auc:0.702954 train-auc:0.781433
[52] eval-auc:0.703962 train-auc:0.782219
[53] eval-auc:0.704478 train-auc:0.782765
[54] eval-auc:0.704193 train-auc:0.783515
[55] eval-auc:0.704447 train-auc:0.784276
[56] eval-auc:0.704302 train-auc:0.785058
[57] eval-auc:0.704395 train-auc:0.784295
[58] eval-auc:0.704447 train-auc:0.785344
[59] eval-auc:0.703903 train-auc:0.786716
[60] eval-auc:0.704364 train-auc:0.78711
[61] eval-auc:0.704405 train-auc:0.787286
[62] eval-auc:0.704935 train-auc:0.787815
[63] eval-auc:0.704182 train-auc:0.789517
[64] eval-auc:0.704073 train-auc:0.789766
[65] eval-auc:0.704239 train-auc:0.789706
[66] eval-auc:0.704523 train-auc:0.791612
[67] eval-auc:0.704687 train-auc:0.791659
[68] eval-auc:0.704658 train-auc:0.79208
[69] eval-auc:0.704121 train-auc:0.793435
[70] eval-auc:0.704182 train-auc:0.794999
[71] eval-auc:0.704089 train-auc:0.79506
[72] eval-auc:0.704759 train-auc:0.795636
[73] eval-auc:0.705117 train-auc:0.796218
[74] eval-auc:0.705189 train-auc:0.796481
[75] eval-auc:0.70533 train-auc:0.797338
[76] eval-auc:0.705587 train-auc:0.797668
[77] eval-auc:0.704619 train-auc:0.798706
[78] eval-auc:0.704363 train-auc:0.798286
[79] eval-auc:0.705312 train-auc:0.798873
[80] eval-auc:0.705403 train-auc:0.800483
[81] eval-auc:0.705541 train-auc:0.800432
[82] eval-auc:0.705539 train-auc:0.80194
[83] eval-auc:0.705952 train-auc:0.801145
[84] eval-auc:0.706442 train-auc:0.802916
[85] eval-auc:0.70645 train-auc:0.803154
[86] eval-auc:0.706433 train-auc:0.804077
[87] eval-auc:0.706438 train-auc:0.804234
[88] eval-auc:0.706847 train-auc:0.805562
[89] eval-auc:0.706176 train-auc:0.805851
[90] eval-auc:0.706008 train-auc:0.806049
[91] eval-auc:0.70624 train-auc:0.806042
[92] eval-auc:0.705589 train-auc:0.807257
[93] eval-auc:0.705621 train-auc:0.807906
[94] eval-auc:0.705653 train-auc:0.809215
[95] eval-auc:0.705745 train-auc:0.80954
[96] eval-auc:0.706192 train-auc:0.810324
[97] eval-auc:0.70634 train-auc:0.811
[98] eval-auc:0.706013 train-auc:0.811675
[99] eval-auc:0.706654 train-auc:0.812694
[100] eval-auc:0.706888 train-auc:0.812545
[101] eval-auc:0.707578 train-auc:0.813209
[102] eval-auc:0.707283 train-auc:0.813466
[103] eval-auc:0.707368 train-auc:0.814224
[104] eval-auc:0.707437 train-auc:0.81549
[105] eval-auc:0.707414 train-auc:0.816323
[106] eval-auc:0.707449 train-auc:0.816613
[107] eval-auc:0.707542 train-auc:0.816982
[108] eval-auc:0.707686 train-auc:0.817031
[109] eval-auc:0.707479 train-auc:0.817685
[110] eval-auc:0.707646 train-auc:0.817542
[111] eval-auc:0.7078 train-auc:0.818356
[112] eval-auc:0.70753 train-auc:0.818769
[113] eval-auc:0.706881 train-auc:0.819614
[114] eval-auc:0.706211 train-auc:0.820067
[115] eval-auc:0.706116 train-auc:0.820688
[116] eval-auc:0.705973 train-auc:0.820806
[117] eval-auc:0.705924 train-auc:0.822074
[118] eval-auc:0.705661 train-auc:0.822532
[119] eval-auc:0.705696 train-auc:0.823688
[120] eval-auc:0.70513 train-auc:0.824764
[121] eval-auc:0.705161 train-auc:0.825099
[122] eval-auc:0.704918 train-auc:0.826174
[123] eval-auc:0.705713 train-auc:0.827079
[124] eval-auc:0.705332 train-auc:0.827734
[125] eval-auc:0.705143 train-auc:0.828431
[126] eval-auc:0.705994 train-auc:0.8295
[127] eval-auc:0.705771 train-auc:0.830236
[128] eval-auc:0.706637 train-auc:0.831708
[129] eval-auc:0.706488 train-auc:0.831817
[130] eval-auc:0.707031 train-auc:0.832583
[131] eval-auc:0.707232 train-auc:0.832668
[132] eval-auc:0.707124 train-auc:0.833134
[133] eval-auc:0.70735 train-auc:0.834185
[134] eval-auc:0.706847 train-auc:0.834571
[135] eval-auc:0.706471 train-auc:0.835199
[136] eval-auc:0.706459 train-auc:0.835349
[137] eval-auc:0.707118 train-auc:0.836574
[138] eval-auc:0.706923 train-auc:0.837051
[139] eval-auc:0.707182 train-auc:0.837553
[140] eval-auc:0.706597 train-auc:0.838085
[141] eval-auc:0.706591 train-auc:0.83837
[142] eval-auc:0.706894 train-auc:0.83913
[143] eval-auc:0.706785 train-auc:0.839206
[144] eval-auc:0.706526 train-auc:0.840051
[145] eval-auc:0.707072 train-auc:0.840878
[146] eval-auc:0.706999 train-auc:0.841682
[147] eval-auc:0.707004 train-auc:0.841839
[148] eval-auc:0.706709 train-auc:0.842203
[149] eval-auc:0.706305 train-auc:0.842861
[150] eval-auc:0.706089 train-auc:0.843254
[151] eval-auc:0.706104 train-auc:0.844323
[152] eval-auc:0.705987 train-auc:0.844246
[153] eval-auc:0.706669 train-auc:0.844453
[154] eval-auc:0.706849 train-auc:0.845083
[155] eval-auc:0.707286 train-auc:0.846083
[156] eval-auc:0.707534 train-auc:0.846848
[157] eval-auc:0.707185 train-auc:0.847276
[158] eval-auc:0.707188 train-auc:0.847931
[159] eval-auc:0.707051 train-auc:0.848281
[160] eval-auc:0.706911 train-auc:0.848797
[161] eval-auc:0.707152 train-auc:0.849647
[162] eval-auc:0.706896 train-auc:0.849886
[163] eval-auc:0.705796 train-auc:0.85021
[164] eval-auc:0.706092 train-auc:0.85072
[165] eval-auc:0.705749 train-auc:0.851068
[166] eval-auc:0.705445 train-auc:0.85164
[167] eval-auc:0.705565 train-auc:0.851604
[168] eval-auc:0.705361 train-auc:0.851798
[169] eval-auc:0.705676 train-auc:0.852835
[170] eval-auc:0.705929 train-auc:0.853297
[171] eval-auc:0.706348 train-auc:0.853603
[172] eval-auc:0.706325 train-auc:0.853882
[173] eval-auc:0.706279 train-auc:0.854012
[174] eval-auc:0.706106 train-auc:0.854162
[175] eval-auc:0.705946 train-auc:0.854488
[176] eval-auc:0.705787 train-auc:0.855328
[177] eval-auc:0.705862 train-auc:0.855531
[178] eval-auc:0.705037 train-auc:0.856148
[179] eval-auc:0.704935 train-auc:0.856221
[180] eval-auc:0.70507 train-auc:0.856418
[181] eval-auc:0.704982 train-auc:0.856848
[182] eval-auc:0.705048 train-auc:0.857166
[183] eval-auc:0.704657 train-auc:0.857481
[184] eval-auc:0.705115 train-auc:0.858038
[185] eval-auc:0.705384 train-auc:0.858284
[186] eval-auc:0.70576 train-auc:0.858898
[187] eval-auc:0.705594 train-auc:0.859474
[188] eval-auc:0.705705 train-auc:0.859806
[189] eval-auc:0.705343 train-auc:0.860144
[190] eval-auc:0.705533 train-auc:0.860599
[191] eval-auc:0.705647 train-auc:0.8611
[192] eval-auc:0.705833 train-auc:0.860995
[193] eval-auc:0.706104 train-auc:0.861096
[194] eval-auc:0.706153 train-auc:0.862082
[195] eval-auc:0.706687 train-auc:0.863027
[196] eval-auc:0.706348 train-auc:0.862845
[197] eval-auc:0.706498 train-auc:0.862641
[198] eval-auc:0.705952 train-auc:0.863414
[199] eval-auc:0.705702 train-auc:0.863663
[200] eval-auc:0.706011 train-auc:0.864149
[201] eval-auc:0.705844 train-auc:0.86438
[202] eval-auc:0.705742 train-auc:0.864392
[203] eval-auc:0.706008 train-auc:0.864868
[204] eval-auc:0.706035 train-auc:0.865132
[205] eval-auc:0.706599 train-auc:0.865911
[206] eval-auc:0.706275 train-auc:0.86659
[207] eval-auc:0.706211 train-auc:0.866744
[208] eval-auc:0.706585 train-auc:0.867506
[209] eval-auc:0.706963 train-auc:0.867632
[210] eval-auc:0.706744 train-auc:0.86759
[211] eval-auc:0.706961 train-auc:0.867771
[212] eval-auc:0.707211 train-auc:0.868197
[213] eval-auc:0.707246 train-auc:0.868451
[214] eval-auc:0.707292 train-auc:0.868824
[215] eval-auc:0.707616 train-auc:0.869578
[216] eval-auc:0.708015 train-auc:0.869833
[217] eval-auc:0.707957 train-auc:0.8701
[218] eval-auc:0.708597 train-auc:0.870307
[219] eval-auc:0.708834 train-auc:0.870694
[220] eval-auc:0.70899 train-auc:0.871419
[221] eval-auc:0.709099 train-auc:0.871829
[222] eval-auc:0.708985 train-auc:0.871784
[223] eval-auc:0.708813 train-auc:0.872038
[224] eval-auc:0.708953 train-auc:0.872276
[225] eval-auc:0.708356 train-auc:0.872949
[226] eval-auc:0.708342 train-auc:0.873143
[227] eval-auc:0.708071 train-auc:0.873259
[228] eval-auc:0.707774 train-auc:0.873546
[229] eval-auc:0.707717 train-auc:0.874218
[230] eval-auc:0.707605 train-auc:0.874295
[231] eval-auc:0.707446 train-auc:0.874382
[232] eval-auc:0.707511 train-auc:0.874657
[233] eval-auc:0.707482 train-auc:0.874918
[234] eval-auc:0.707371 train-auc:0.875229
[235] eval-auc:0.707738 train-auc:0.875664
[236] eval-auc:0.707965 train-auc:0.875839
[237] eval-auc:0.707986 train-auc:0.876368
[238] eval-auc:0.707864 train-auc:0.87671
[239] eval-auc:0.707956 train-auc:0.877189
[240] eval-auc:0.707826 train-auc:0.877672
[241] eval-auc:0.707835 train-auc:0.877895
[242] eval-auc:0.707473 train-auc:0.878233
[243] eval-auc:0.707642 train-auc:0.878414
[244] eval-auc:0.707408 train-auc:0.87931
[245] eval-auc:0.70701 train-auc:0.879451
[246] eval-auc:0.707059 train-auc:0.87978
[247] eval-auc:0.707144 train-auc:0.880229
[248] eval-auc:0.707181 train-auc:0.880199
[249] eval-auc:0.707203 train-auc:0.880436
[250] eval-auc:0.706853 train-auc:0.881193
[251] eval-auc:0.706972 train-auc:0.881627
[252] eval-auc:0.707182 train-auc:0.882097
[253] eval-auc:0.707344 train-auc:0.882241
[254] eval-auc:0.707388 train-auc:0.882326
[255] eval-auc:0.706829 train-auc:0.882888
[256] eval-auc:0.707193 train-auc:0.883093
[257] eval-auc:0.706909 train-auc:0.883264
[258] eval-auc:0.707067 train-auc:0.883606
[259] eval-auc:0.707213 train-auc:0.884075
[260] eval-auc:0.707305 train-auc:0.884086
[261] eval-auc:0.707309 train-auc:0.884137
[262] eval-auc:0.707188 train-auc:0.884041
[263] eval-auc:0.707286 train-auc:0.884365
[264] eval-auc:0.706767 train-auc:0.884823
[265] eval-auc:0.70677 train-auc:0.884672
[266] eval-auc:0.706736 train-auc:0.885102
[267] eval-auc:0.706841 train-auc:0.885604
[268] eval-auc:0.707086 train-auc:0.886021
[269] eval-auc:0.707423 train-auc:0.886482
[270] eval-auc:0.707538 train-auc:0.886868
[271] eval-auc:0.707264 train-auc:0.887285
[272] eval-auc:0.706955 train-auc:0.887514
[273] eval-auc:0.707152 train-auc:0.888487
[274] eval-auc:0.707267 train-auc:0.888593
[275] eval-auc:0.707069 train-auc:0.88879
[276] eval-auc:0.706645 train-auc:0.888828
[277] eval-auc:0.706747 train-auc:0.889651
[278] eval-auc:0.706725 train-auc:0.889582
[279] eval-auc:0.707152 train-auc:0.889734
[280] eval-auc:0.707351 train-auc:0.89009
[281] eval-auc:0.707377 train-auc:0.890781
[282] eval-auc:0.707499 train-auc:0.890937
[283] eval-auc:0.707506 train-auc:0.89119
[284] eval-auc:0.70777 train-auc:0.891502
[285] eval-auc:0.707938 train-auc:0.891645
[286] eval-auc:0.708058 train-auc:0.891587
[287] eval-auc:0.708 train-auc:0.891725
[288] eval-auc:0.708189 train-auc:0.892026
[289] eval-auc:0.70791 train-auc:0.89206
[290] eval-auc:0.707956 train-auc:0.892297
[291] eval-auc:0.707586 train-auc:0.892784
[292] eval-auc:0.707455 train-auc:0.893143
[293] eval-auc:0.707526 train-auc:0.893288
[294] eval-auc:0.707602 train-auc:0.89334
[295] eval-auc:0.707782 train-auc:0.89377
[296] eval-auc:0.70753 train-auc:0.894161
[297] eval-auc:0.707985 train-auc:0.894425
[298] eval-auc:0.707998 train-auc:0.894773
[299] eval-auc:0.70803 train-auc:0.895302
[300] eval-auc:0.707822 train-auc:0.895863
[301] eval-auc:0.707919 train-auc:0.896099
[302] eval-auc:0.708228 train-auc:0.89645
[303] eval-auc:0.708234 train-auc:0.896629
[304] eval-auc:0.708327 train-auc:0.896833
[305] eval-auc:0.708111 train-auc:0.896806
[306] eval-auc:0.708205 train-auc:0.896861
[307] eval-auc:0.707529 train-auc:0.89744
[308] eval-auc:0.707732 train-auc:0.897545
[309] eval-auc:0.707986 train-auc:0.897569
[310] eval-auc:0.707637 train-auc:0.89778
[311] eval-auc:0.70761 train-auc:0.898007
[312] eval-auc:0.707714 train-auc:0.898431
[313] eval-auc:0.707774 train-auc:0.898587
[314] eval-auc:0.707535 train-auc:0.898552
[315] eval-auc:0.707753 train-auc:0.898833
[316] eval-auc:0.707783 train-auc:0.899231
[317] eval-auc:0.707924 train-auc:0.899475
[318] eval-auc:0.707988 train-auc:0.899876
[319] eval-auc:0.707663 train-auc:0.899908
[320] eval-auc:0.707301 train-auc:0.900472
[321] eval-auc:0.707325 train-auc:0.900676
[322] eval-auc:0.707339 train-auc:0.900879
[323] eval-auc:0.707232 train-auc:0.901164
[324] eval-auc:0.707493 train-auc:0.901473
Score 0.7074927822241712
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8500000000000001, 'eta': 0.025, 'eval_metric': 'auc', 'gamma': 0.9, 'max_depth': 3, 'min_child_weight': 2.0, 'n_estimators': 237.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.8500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.708987 train-auc:0.715522
[1] eval-auc:0.699609 train-auc:0.726221
[2] eval-auc:0.699452 train-auc:0.73127
[3] eval-auc:0.697807 train-auc:0.736765
[4] eval-auc:0.694054 train-auc:0.736643
[5] eval-auc:0.691317 train-auc:0.743636
[6] eval-auc:0.690586 train-auc:0.743019
[7] eval-auc:0.694011 train-auc:0.743728
[8] eval-auc:0.696781 train-auc:0.746982
[9] eval-auc:0.699074 train-auc:0.743455
[10] eval-auc:0.698565 train-auc:0.744833
[11] eval-auc:0.697549 train-auc:0.745872
[12] eval-auc:0.69682 train-auc:0.744052
[13] eval-auc:0.698979 train-auc:0.74184
[14] eval-auc:0.699094 train-auc:0.740562
[15] eval-auc:0.697348 train-auc:0.74235
[16] eval-auc:0.696379 train-auc:0.743117
[17] eval-auc:0.694192 train-auc:0.744608
[18] eval-auc:0.693806 train-auc:0.746178
[19] eval-auc:0.693492 train-auc:0.747211
[20] eval-auc:0.693956 train-auc:0.745835
[21] eval-auc:0.695297 train-auc:0.746654
[22] eval-auc:0.69692 train-auc:0.746355
[23] eval-auc:0.697267 train-auc:0.746791
[24] eval-auc:0.697016 train-auc:0.748227
[25] eval-auc:0.698209 train-auc:0.750151
[26] eval-auc:0.698178 train-auc:0.751145
[27] eval-auc:0.699285 train-auc:0.752427
[28] eval-auc:0.698778 train-auc:0.750479
[29] eval-auc:0.698659 train-auc:0.749309
[30] eval-auc:0.698322 train-auc:0.750528
[31] eval-auc:0.698721 train-auc:0.751501
[32] eval-auc:0.698909 train-auc:0.753501
[33] eval-auc:0.699157 train-auc:0.75383
[34] eval-auc:0.698648 train-auc:0.755501
[35] eval-auc:0.6985 train-auc:0.756755
[36] eval-auc:0.69828 train-auc:0.757654
[37] eval-auc:0.697814 train-auc:0.755887
[38] eval-auc:0.698434 train-auc:0.755859
[39] eval-auc:0.698282 train-auc:0.755113
[40] eval-auc:0.697758 train-auc:0.75448
[41] eval-auc:0.698213 train-auc:0.75387
[42] eval-auc:0.698325 train-auc:0.753931
[43] eval-auc:0.698436 train-auc:0.754805
[44] eval-auc:0.698667 train-auc:0.755267
[45] eval-auc:0.699259 train-auc:0.755578
[46] eval-auc:0.698567 train-auc:0.756279
[47] eval-auc:0.700003 train-auc:0.756637
[48] eval-auc:0.700605 train-auc:0.757838
[49] eval-auc:0.700489 train-auc:0.758501
[50] eval-auc:0.700329 train-auc:0.75984
[51] eval-auc:0.700162 train-auc:0.760786
[52] eval-auc:0.700669 train-auc:0.761932
[53] eval-auc:0.700615 train-auc:0.763132
[54] eval-auc:0.701362 train-auc:0.764552
[55] eval-auc:0.701826 train-auc:0.764984
[56] eval-auc:0.701371 train-auc:0.766847
[57] eval-auc:0.702147 train-auc:0.766923
[58] eval-auc:0.702756 train-auc:0.767142
[59] eval-auc:0.702181 train-auc:0.767868
[60] eval-auc:0.702057 train-auc:0.768482
[61] eval-auc:0.702341 train-auc:0.767822
[62] eval-auc:0.702349 train-auc:0.769025
[63] eval-auc:0.702536 train-auc:0.769808
[64] eval-auc:0.702822 train-auc:0.770427
[65] eval-auc:0.702971 train-auc:0.77052
[66] eval-auc:0.702925 train-auc:0.770898
[67] eval-auc:0.702645 train-auc:0.771667
[68] eval-auc:0.703253 train-auc:0.771908
[69] eval-auc:0.703772 train-auc:0.773153
[70] eval-auc:0.703743 train-auc:0.773417
[71] eval-auc:0.704259 train-auc:0.774106
[72] eval-auc:0.703889 train-auc:0.774674
[73] eval-auc:0.703917 train-auc:0.775097
[74] eval-auc:0.704129 train-auc:0.776322
[75] eval-auc:0.704118 train-auc:0.776275
[76] eval-auc:0.704265 train-auc:0.775983
[77] eval-auc:0.703735 train-auc:0.77655
[78] eval-auc:0.703329 train-auc:0.775864
[79] eval-auc:0.703323 train-auc:0.776126
[80] eval-auc:0.703276 train-auc:0.776602
[81] eval-auc:0.703726 train-auc:0.777132
[82] eval-auc:0.70434 train-auc:0.776617
[83] eval-auc:0.704417 train-auc:0.776907
[84] eval-auc:0.704905 train-auc:0.777789
[85] eval-auc:0.704705 train-auc:0.778416
[86] eval-auc:0.704564 train-auc:0.778791
[87] eval-auc:0.705024 train-auc:0.779115
[88] eval-auc:0.705573 train-auc:0.779526
[89] eval-auc:0.706045 train-auc:0.779915
[90] eval-auc:0.705192 train-auc:0.779488
[91] eval-auc:0.704819 train-auc:0.7803
[92] eval-auc:0.704316 train-auc:0.781488
[93] eval-auc:0.704628 train-auc:0.781604
[94] eval-auc:0.704878 train-auc:0.783033
[95] eval-auc:0.704525 train-auc:0.783328
[96] eval-auc:0.704538 train-auc:0.783272
[97] eval-auc:0.704779 train-auc:0.783196
[98] eval-auc:0.704168 train-auc:0.783797
[99] eval-auc:0.704388 train-auc:0.784564
[100] eval-auc:0.704534 train-auc:0.785019
[101] eval-auc:0.704289 train-auc:0.784746
[102] eval-auc:0.704318 train-auc:0.785467
[103] eval-auc:0.704546 train-auc:0.785597
[104] eval-auc:0.704444 train-auc:0.785715
[105] eval-auc:0.704632 train-auc:0.78609
[106] eval-auc:0.704923 train-auc:0.786263
[107] eval-auc:0.704737 train-auc:0.786921
[108] eval-auc:0.704842 train-auc:0.787153
[109] eval-auc:0.705104 train-auc:0.787259
[110] eval-auc:0.704878 train-auc:0.787595
[111] eval-auc:0.705102 train-auc:0.788221
[112] eval-auc:0.705084 train-auc:0.788729
[113] eval-auc:0.705364 train-auc:0.788749
[114] eval-auc:0.705522 train-auc:0.789217
[115] eval-auc:0.705669 train-auc:0.790132
[116] eval-auc:0.705199 train-auc:0.790695
[117] eval-auc:0.705804 train-auc:0.791435
[118] eval-auc:0.705755 train-auc:0.791695
[119] eval-auc:0.706134 train-auc:0.792308
[120] eval-auc:0.706221 train-auc:0.792738
[121] eval-auc:0.706169 train-auc:0.793434
[122] eval-auc:0.706151 train-auc:0.79399
[123] eval-auc:0.7059 train-auc:0.794325
[124] eval-auc:0.705757 train-auc:0.794026
[125] eval-auc:0.705952 train-auc:0.794371
[126] eval-auc:0.705968 train-auc:0.795162
[127] eval-auc:0.705764 train-auc:0.795029
[128] eval-auc:0.706014 train-auc:0.795876
[129] eval-auc:0.706138 train-auc:0.796978
[130] eval-auc:0.706134 train-auc:0.797682
[131] eval-auc:0.706089 train-auc:0.79809
[132] eval-auc:0.706096 train-auc:0.798148
[133] eval-auc:0.705962 train-auc:0.798257
[134] eval-auc:0.705653 train-auc:0.79874
[135] eval-auc:0.705335 train-auc:0.799827
[136] eval-auc:0.705107 train-auc:0.800256
[137] eval-auc:0.704929 train-auc:0.800085
[138] eval-auc:0.705034 train-auc:0.800708
[139] eval-auc:0.705216 train-auc:0.801196
[140] eval-auc:0.70525 train-auc:0.801311
[141] eval-auc:0.705267 train-auc:0.80173
[142] eval-auc:0.705406 train-auc:0.801967
[143] eval-auc:0.705608 train-auc:0.802168
[144] eval-auc:0.705673 train-auc:0.802436
[145] eval-auc:0.70571 train-auc:0.802414
[146] eval-auc:0.705691 train-auc:0.802544
[147] eval-auc:0.705743 train-auc:0.802411
[148] eval-auc:0.70555 train-auc:0.802797
[149] eval-auc:0.705363 train-auc:0.80363
[150] eval-auc:0.705455 train-auc:0.804392
[151] eval-auc:0.70567 train-auc:0.804865
[152] eval-auc:0.705932 train-auc:0.805216
[153] eval-auc:0.706188 train-auc:0.805686
[154] eval-auc:0.706112 train-auc:0.8064
[155] eval-auc:0.706124 train-auc:0.807357
[156] eval-auc:0.706768 train-auc:0.80794
[157] eval-auc:0.707057 train-auc:0.808584
[158] eval-auc:0.707068 train-auc:0.808859
[159] eval-auc:0.707038 train-auc:0.809411
[160] eval-auc:0.707242 train-auc:0.810039
[161] eval-auc:0.707108 train-auc:0.810453
[162] eval-auc:0.706996 train-auc:0.811083
[163] eval-auc:0.70609 train-auc:0.811843
[164] eval-auc:0.706383 train-auc:0.812292
[165] eval-auc:0.706689 train-auc:0.812575
[166] eval-auc:0.707351 train-auc:0.812696
[167] eval-auc:0.707372 train-auc:0.813079
[168] eval-auc:0.707041 train-auc:0.813406
[169] eval-auc:0.707083 train-auc:0.813734
[170] eval-auc:0.707123 train-auc:0.813839
[171] eval-auc:0.707152 train-auc:0.813822
[172] eval-auc:0.707115 train-auc:0.813836
[173] eval-auc:0.707109 train-auc:0.813792
[174] eval-auc:0.707298 train-auc:0.81438
[175] eval-auc:0.707348 train-auc:0.81493
[176] eval-auc:0.707347 train-auc:0.815514
[177] eval-auc:0.707409 train-auc:0.815642
[178] eval-auc:0.707639 train-auc:0.816346
[179] eval-auc:0.707749 train-auc:0.816346
[180] eval-auc:0.707599 train-auc:0.816203
[181] eval-auc:0.707817 train-auc:0.816356
[182] eval-auc:0.707808 train-auc:0.816338
[183] eval-auc:0.707697 train-auc:0.816499
[184] eval-auc:0.707764 train-auc:0.81662
[185] eval-auc:0.707743 train-auc:0.816696
[186] eval-auc:0.707838 train-auc:0.817333
[187] eval-auc:0.707901 train-auc:0.818069
[188] eval-auc:0.707902 train-auc:0.818204
[189] eval-auc:0.707904 train-auc:0.818431
[190] eval-auc:0.708196 train-auc:0.818519
[191] eval-auc:0.708563 train-auc:0.81879
[192] eval-auc:0.708472 train-auc:0.818929
[193] eval-auc:0.708243 train-auc:0.819822
[194] eval-auc:0.70849 train-auc:0.820158
[195] eval-auc:0.708128 train-auc:0.82057
[196] eval-auc:0.708193 train-auc:0.820713
[197] eval-auc:0.708148 train-auc:0.821253
[198] eval-auc:0.708141 train-auc:0.821408
[199] eval-auc:0.708085 train-auc:0.821284
[200] eval-auc:0.708183 train-auc:0.821777
[201] eval-auc:0.708297 train-auc:0.822089
[202] eval-auc:0.708379 train-auc:0.822413
[203] eval-auc:0.708191 train-auc:0.822732
[204] eval-auc:0.708228 train-auc:0.823171
[205] eval-auc:0.708129 train-auc:0.823209
[206] eval-auc:0.707858 train-auc:0.823967
[207] eval-auc:0.707799 train-auc:0.82448
[208] eval-auc:0.708213 train-auc:0.825437
[209] eval-auc:0.707997 train-auc:0.825933
[210] eval-auc:0.707615 train-auc:0.825944
[211] eval-auc:0.707558 train-auc:0.826057
[212] eval-auc:0.707299 train-auc:0.826944
[213] eval-auc:0.707555 train-auc:0.826979
[214] eval-auc:0.707771 train-auc:0.826953
[215] eval-auc:0.707665 train-auc:0.827275
[216] eval-auc:0.707729 train-auc:0.827536
[217] eval-auc:0.707969 train-auc:0.828229
[218] eval-auc:0.708067 train-auc:0.828348
[219] eval-auc:0.707884 train-auc:0.828715
[220] eval-auc:0.7081 train-auc:0.828867
[221] eval-auc:0.708186 train-auc:0.829337
[222] eval-auc:0.707972 train-auc:0.829297
[223] eval-auc:0.708006 train-auc:0.829521
[224] eval-auc:0.708036 train-auc:0.829654
[225] eval-auc:0.708014 train-auc:0.829997
[226] eval-auc:0.708247 train-auc:0.830044
[227] eval-auc:0.70821 train-auc:0.830184
[228] eval-auc:0.708508 train-auc:0.830473
[229] eval-auc:0.708702 train-auc:0.831244
[230] eval-auc:0.708568 train-auc:0.831166
[231] eval-auc:0.708623 train-auc:0.831348
[232] eval-auc:0.708495 train-auc:0.831537
[233] eval-auc:0.708572 train-auc:0.832142
[234] eval-auc:0.708518 train-auc:0.832214
[235] eval-auc:0.708487 train-auc:0.832197
[236] eval-auc:0.708652 train-auc:0.832433
Score 0.7086515854743023
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8, 'eta': 0.07500000000000001, 'eval_metric': 'auc', 'gamma': 0.8500000000000001, 'max_depth': 11, 'min_child_weight': 1.0, 'n_estimators': 551.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.633829 train-auc:0.839149
[1] eval-auc:0.631552 train-auc:0.914587
[2] eval-auc:0.616843 train-auc:0.946331
[3] eval-auc:0.633202 train-auc:0.967209
[4] eval-auc:0.661725 train-auc:0.978986
[5] eval-auc:0.655481 train-auc:0.984859
[6] eval-auc:0.657833 train-auc:0.986397
[7] eval-auc:0.652329 train-auc:0.987903
[8] eval-auc:0.6609 train-auc:0.991446
[9] eval-auc:0.664333 train-auc:0.994557
[10] eval-auc:0.675038 train-auc:0.996764
[11] eval-auc:0.671407 train-auc:0.997193
[12] eval-auc:0.670805 train-auc:0.997548
[13] eval-auc:0.67201 train-auc:0.998344
[14] eval-auc:0.670027 train-auc:0.998634
[15] eval-auc:0.668709 train-auc:0.998787
[16] eval-auc:0.665592 train-auc:0.998961
[17] eval-auc:0.673817 train-auc:0.999284
[18] eval-auc:0.671677 train-auc:0.999332
[19] eval-auc:0.671649 train-auc:0.999482
[20] eval-auc:0.673178 train-auc:0.999694
[21] eval-auc:0.679062 train-auc:0.99976
[22] eval-auc:0.678861 train-auc:0.999832
[23] eval-auc:0.682483 train-auc:0.999847
[24] eval-auc:0.682272 train-auc:0.999907
[25] eval-auc:0.683697 train-auc:0.999907
[26] eval-auc:0.683718 train-auc:0.999943
[27] eval-auc:0.686094 train-auc:0.999967
[28] eval-auc:0.685512 train-auc:0.999981
[29] eval-auc:0.685537 train-auc:0.999987
[30] eval-auc:0.68731 train-auc:0.999989
[31] eval-auc:0.687848 train-auc:0.99999
[32] eval-auc:0.688579 train-auc:0.999994
[33] eval-auc:0.690028 train-auc:0.999993
[34] eval-auc:0.68892 train-auc:0.999994
[35] eval-auc:0.691079 train-auc:0.999995
[36] eval-auc:0.691399 train-auc:0.999995
[37] eval-auc:0.691169 train-auc:0.999995
[38] eval-auc:0.690814 train-auc:0.999994
[39] eval-auc:0.689059 train-auc:0.999994
[40] eval-auc:0.68813 train-auc:0.999994
[41] eval-auc:0.68705 train-auc:0.999994
[42] eval-auc:0.686499 train-auc:0.999997
[43] eval-auc:0.687144 train-auc:0.999998
[44] eval-auc:0.689529 train-auc:0.999998
[45] eval-auc:0.689754 train-auc:0.999999
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[485] eval-auc:0.696736 train-auc:1
[486] eval-auc:0.696718 train-auc:1
[487] eval-auc:0.696718 train-auc:1
[488] eval-auc:0.696724 train-auc:1
[489] eval-auc:0.696631 train-auc:1
[490] eval-auc:0.696631 train-auc:1
[491] eval-auc:0.696631 train-auc:1
[492] eval-auc:0.696631 train-auc:1
[493] eval-auc:0.696631 train-auc:1
[494] eval-auc:0.696412 train-auc:1
[495] eval-auc:0.696412 train-auc:1
[496] eval-auc:0.696512 train-auc:1
[497] eval-auc:0.696495 train-auc:1
[498] eval-auc:0.696296 train-auc:1
[499] eval-auc:0.696386 train-auc:1
[500] eval-auc:0.696386 train-auc:1
[501] eval-auc:0.696386 train-auc:1
[502] eval-auc:0.696458 train-auc:1
[503] eval-auc:0.696458 train-auc:1
[504] eval-auc:0.696465 train-auc:1
[505] eval-auc:0.696465 train-auc:1
[506] eval-auc:0.696419 train-auc:1
[507] eval-auc:0.696348 train-auc:1
[508] eval-auc:0.696348 train-auc:1
[509] eval-auc:0.696348 train-auc:1
[510] eval-auc:0.696474 train-auc:1
[511] eval-auc:0.696465 train-auc:1
[512] eval-auc:0.696465 train-auc:1
[513] eval-auc:0.696465 train-auc:1
[514] eval-auc:0.696381 train-auc:1
[515] eval-auc:0.696381 train-auc:1
[516] eval-auc:0.696415 train-auc:1
[517] eval-auc:0.696415 train-auc:1
[518] eval-auc:0.696415 train-auc:1
[519] eval-auc:0.696415 train-auc:1
[520] eval-auc:0.696415 train-auc:1
[521] eval-auc:0.696415 train-auc:1
[522] eval-auc:0.696415 train-auc:1
[523] eval-auc:0.696491 train-auc:1
[524] eval-auc:0.696491 train-auc:1
[525] eval-auc:0.696491 train-auc:1
[526] eval-auc:0.696491 train-auc:1
[527] eval-auc:0.696491 train-auc:1
[528] eval-auc:0.696491 train-auc:1
[529] eval-auc:0.696616 train-auc:1
[530] eval-auc:0.696672 train-auc:1
[531] eval-auc:0.697167 train-auc:1
[532] eval-auc:0.697167 train-auc:1
[533] eval-auc:0.697167 train-auc:1
[534] eval-auc:0.697167 train-auc:1
[535] eval-auc:0.697167 train-auc:1
[536] eval-auc:0.69717 train-auc:1
[537] eval-auc:0.697045 train-auc:1
[538] eval-auc:0.697045 train-auc:1
[539] eval-auc:0.697099 train-auc:1
[540] eval-auc:0.697099 train-auc:1
[541] eval-auc:0.697099 train-auc:1
[542] eval-auc:0.697216 train-auc:1
[543] eval-auc:0.697179 train-auc:1
[544] eval-auc:0.697248 train-auc:1
[545] eval-auc:0.697325 train-auc:1
[546] eval-auc:0.697325 train-auc:1
[547] eval-auc:0.697322 train-auc:1
[548] eval-auc:0.697322 train-auc:1
[549] eval-auc:0.697322 train-auc:1
[550] eval-auc:0.697354 train-auc:1
Score 0.697354395838663
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9, 'eta': 0.125, 'eval_metric': 'auc', 'gamma': 0.9500000000000001, 'max_depth': 3, 'min_child_weight': 1.0, 'n_estimators': 476.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.720253 train-auc:0.715388
[1] eval-auc:0.703195 train-auc:0.726906
[2] eval-auc:0.699093 train-auc:0.735093
[3] eval-auc:0.699061 train-auc:0.735253
[4] eval-auc:0.700723 train-auc:0.736524
[5] eval-auc:0.697198 train-auc:0.744547
[6] eval-auc:0.699682 train-auc:0.744711
[7] eval-auc:0.701334 train-auc:0.748671
[8] eval-auc:0.702268 train-auc:0.752167
[9] eval-auc:0.704506 train-auc:0.752231
[10] eval-auc:0.707579 train-auc:0.756292
[11] eval-auc:0.7069 train-auc:0.761232
[12] eval-auc:0.704357 train-auc:0.760653
[13] eval-auc:0.705374 train-auc:0.762639
[14] eval-auc:0.702481 train-auc:0.763244
[15] eval-auc:0.703193 train-auc:0.767585
[16] eval-auc:0.701535 train-auc:0.770484
[17] eval-auc:0.701722 train-auc:0.773437
[18] eval-auc:0.701989 train-auc:0.775528
[19] eval-auc:0.701983 train-auc:0.77888
[20] eval-auc:0.702047 train-auc:0.777644
[21] eval-auc:0.702482 train-auc:0.778986
[22] eval-auc:0.702902 train-auc:0.782684
[23] eval-auc:0.703862 train-auc:0.786491
[24] eval-auc:0.704288 train-auc:0.789077
[25] eval-auc:0.703938 train-auc:0.79069
[26] eval-auc:0.704932 train-auc:0.792615
[27] eval-auc:0.704568 train-auc:0.795885
[28] eval-auc:0.705763 train-auc:0.797769
[29] eval-auc:0.705994 train-auc:0.800193
[30] eval-auc:0.705171 train-auc:0.801866
[31] eval-auc:0.706734 train-auc:0.803039
[32] eval-auc:0.707084 train-auc:0.804258
[33] eval-auc:0.706725 train-auc:0.806335
[34] eval-auc:0.705697 train-auc:0.807619
[35] eval-auc:0.704141 train-auc:0.809556
[36] eval-auc:0.70459 train-auc:0.809837
[37] eval-auc:0.705547 train-auc:0.81067
[38] eval-auc:0.705515 train-auc:0.811619
[39] eval-auc:0.705679 train-auc:0.815317
[40] eval-auc:0.704922 train-auc:0.817241
[41] eval-auc:0.706037 train-auc:0.81775
[42] eval-auc:0.705781 train-auc:0.818294
[43] eval-auc:0.705067 train-auc:0.820107
[44] eval-auc:0.705746 train-auc:0.822228
[45] eval-auc:0.705244 train-auc:0.823161
[46] eval-auc:0.705577 train-auc:0.823458
[47] eval-auc:0.705743 train-auc:0.823909
[48] eval-auc:0.706308 train-auc:0.826847
[49] eval-auc:0.705427 train-auc:0.827975
[50] eval-auc:0.704404 train-auc:0.828146
[51] eval-auc:0.704791 train-auc:0.829769
[52] eval-auc:0.705319 train-auc:0.83019
[53] eval-auc:0.70594 train-auc:0.832369
[54] eval-auc:0.706045 train-auc:0.833534
[55] eval-auc:0.706409 train-auc:0.834604
[56] eval-auc:0.706486 train-auc:0.834579
[57] eval-auc:0.706342 train-auc:0.835042
[58] eval-auc:0.70631 train-auc:0.836078
[59] eval-auc:0.707267 train-auc:0.838548
[60] eval-auc:0.708208 train-auc:0.839271
[61] eval-auc:0.707339 train-auc:0.840354
[62] eval-auc:0.707138 train-auc:0.840413
[63] eval-auc:0.708728 train-auc:0.841765
[64] eval-auc:0.708534 train-auc:0.841934
[65] eval-auc:0.708677 train-auc:0.842137
[66] eval-auc:0.708515 train-auc:0.842895
[67] eval-auc:0.708961 train-auc:0.843226
[68] eval-auc:0.7074 train-auc:0.844451
[69] eval-auc:0.708798 train-auc:0.846987
[70] eval-auc:0.709931 train-auc:0.848302
[71] eval-auc:0.709754 train-auc:0.850078
[72] eval-auc:0.709723 train-auc:0.852261
[73] eval-auc:0.710567 train-auc:0.853898
[74] eval-auc:0.710685 train-auc:0.854737
[75] eval-auc:0.710976 train-auc:0.854676
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[77] eval-auc:0.710688 train-auc:0.85681
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[79] eval-auc:0.711893 train-auc:0.857618
[80] eval-auc:0.711527 train-auc:0.858394
[81] eval-auc:0.712238 train-auc:0.860142
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[83] eval-auc:0.711011 train-auc:0.862089
[84] eval-auc:0.711422 train-auc:0.86308
[85] eval-auc:0.712858 train-auc:0.864619
[86] eval-auc:0.712382 train-auc:0.865137
[87] eval-auc:0.712651 train-auc:0.865789
[88] eval-auc:0.712091 train-auc:0.867527
[89] eval-auc:0.711294 train-auc:0.867712
[90] eval-auc:0.711392 train-auc:0.86775
[91] eval-auc:0.710608 train-auc:0.869142
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[100] eval-auc:0.71217 train-auc:0.878941
[101] eval-auc:0.712244 train-auc:0.87982
[102] eval-auc:0.712193 train-auc:0.880425
[103] eval-auc:0.711679 train-auc:0.881301
[104] eval-auc:0.711549 train-auc:0.881654
[105] eval-auc:0.710503 train-auc:0.882099
[106] eval-auc:0.711262 train-auc:0.883045
[107] eval-auc:0.711096 train-auc:0.883424
[108] eval-auc:0.710834 train-auc:0.883914
[109] eval-auc:0.710581 train-auc:0.884296
[110] eval-auc:0.710057 train-auc:0.884413
[111] eval-auc:0.710232 train-auc:0.884943
[112] eval-auc:0.708306 train-auc:0.886556
[113] eval-auc:0.707645 train-auc:0.887191
[114] eval-auc:0.70814 train-auc:0.888508
[115] eval-auc:0.707456 train-auc:0.889307
[116] eval-auc:0.70646 train-auc:0.889998
[117] eval-auc:0.706544 train-auc:0.889992
[118] eval-auc:0.705634 train-auc:0.89047
[119] eval-auc:0.70537 train-auc:0.891067
[120] eval-auc:0.705046 train-auc:0.892574
[121] eval-auc:0.70571 train-auc:0.89365
[122] eval-auc:0.706203 train-auc:0.894498
[123] eval-auc:0.706252 train-auc:0.894948
[124] eval-auc:0.705484 train-auc:0.895796
[125] eval-auc:0.705419 train-auc:0.896687
[126] eval-auc:0.70606 train-auc:0.897936
[127] eval-auc:0.705367 train-auc:0.898138
[128] eval-auc:0.705968 train-auc:0.898474
[129] eval-auc:0.705915 train-auc:0.898655
[130] eval-auc:0.706212 train-auc:0.899448
[131] eval-auc:0.706319 train-auc:0.900391
[132] eval-auc:0.707476 train-auc:0.901042
[133] eval-auc:0.707021 train-auc:0.901484
[134] eval-auc:0.706424 train-auc:0.901958
[135] eval-auc:0.706774 train-auc:0.902523
[136] eval-auc:0.706556 train-auc:0.902843
[137] eval-auc:0.706075 train-auc:0.904307
[138] eval-auc:0.705972 train-auc:0.904768
[139] eval-auc:0.706908 train-auc:0.905326
[140] eval-auc:0.707143 train-auc:0.905295
[141] eval-auc:0.707105 train-auc:0.905443
[142] eval-auc:0.707048 train-auc:0.905784
[143] eval-auc:0.706712 train-auc:0.906572
[144] eval-auc:0.706867 train-auc:0.907232
[145] eval-auc:0.707304 train-auc:0.907524
[146] eval-auc:0.705665 train-auc:0.908453
[147] eval-auc:0.705781 train-auc:0.908838
[148] eval-auc:0.705531 train-auc:0.909125
[149] eval-auc:0.705426 train-auc:0.909413
[150] eval-auc:0.704723 train-auc:0.910381
[151] eval-auc:0.704696 train-auc:0.911057
[152] eval-auc:0.704874 train-auc:0.910784
[153] eval-auc:0.705347 train-auc:0.910928
[154] eval-auc:0.704881 train-auc:0.911668
[155] eval-auc:0.705527 train-auc:0.912607
[156] eval-auc:0.706022 train-auc:0.913067
[157] eval-auc:0.705586 train-auc:0.913064
[158] eval-auc:0.705966 train-auc:0.913993
[159] eval-auc:0.705961 train-auc:0.914131
[160] eval-auc:0.705707 train-auc:0.914653
[161] eval-auc:0.705674 train-auc:0.914972
[162] eval-auc:0.705162 train-auc:0.915443
[163] eval-auc:0.705736 train-auc:0.915815
[164] eval-auc:0.705903 train-auc:0.916354
[165] eval-auc:0.70609 train-auc:0.917055
[166] eval-auc:0.706434 train-auc:0.917309
[167] eval-auc:0.705807 train-auc:0.91763
[168] eval-auc:0.705981 train-auc:0.918133
[169] eval-auc:0.706265 train-auc:0.918444
[170] eval-auc:0.706372 train-auc:0.918791
[171] eval-auc:0.706476 train-auc:0.919111
[172] eval-auc:0.706332 train-auc:0.919199
[173] eval-auc:0.706007 train-auc:0.920318
[174] eval-auc:0.705352 train-auc:0.920351
[175] eval-auc:0.705164 train-auc:0.921211
[176] eval-auc:0.70546 train-auc:0.921461
[177] eval-auc:0.705047 train-auc:0.921833
[178] eval-auc:0.704724 train-auc:0.922098
[179] eval-auc:0.705032 train-auc:0.922249
[180] eval-auc:0.705196 train-auc:0.922431
[181] eval-auc:0.705152 train-auc:0.923169
[182] eval-auc:0.705299 train-auc:0.92374
[183] eval-auc:0.705247 train-auc:0.923826
[184] eval-auc:0.705536 train-auc:0.923943
[185] eval-auc:0.704627 train-auc:0.924397
[186] eval-auc:0.704799 train-auc:0.924773
[187] eval-auc:0.705145 train-auc:0.925191
[188] eval-auc:0.705259 train-auc:0.926213
[189] eval-auc:0.705856 train-auc:0.926493
[190] eval-auc:0.705937 train-auc:0.92647
[191] eval-auc:0.705108 train-auc:0.927079
[192] eval-auc:0.705288 train-auc:0.927455
[193] eval-auc:0.7055 train-auc:0.927588
[194] eval-auc:0.704811 train-auc:0.928162
[195] eval-auc:0.704102 train-auc:0.929016
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[227] eval-auc:0.704428 train-auc:0.939766
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[229] eval-auc:0.703392 train-auc:0.940361
[230] eval-auc:0.702993 train-auc:0.940689
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[234] eval-auc:0.704919 train-auc:0.942259
[235] eval-auc:0.705149 train-auc:0.942964
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[240] eval-auc:0.704348 train-auc:0.944314
[241] eval-auc:0.703529 train-auc:0.944772
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[243] eval-auc:0.703556 train-auc:0.945147
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[248] eval-auc:0.703194 train-auc:0.946728
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[250] eval-auc:0.703279 train-auc:0.946845
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[258] eval-auc:0.70253 train-auc:0.948584
[259] eval-auc:0.702708 train-auc:0.948951
[260] eval-auc:0.702946 train-auc:0.949505
[261] eval-auc:0.703853 train-auc:0.950054
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[263] eval-auc:0.70387 train-auc:0.950695
[264] eval-auc:0.703793 train-auc:0.950835
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[266] eval-auc:0.703911 train-auc:0.950905
[267] eval-auc:0.704192 train-auc:0.951106
[268] eval-auc:0.704423 train-auc:0.951359
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[270] eval-auc:0.703723 train-auc:0.951735
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[273] eval-auc:0.703988 train-auc:0.952738
[274] eval-auc:0.704377 train-auc:0.952853
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[281] eval-auc:0.702136 train-auc:0.954784
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[283] eval-auc:0.703107 train-auc:0.955218
[284] eval-auc:0.702861 train-auc:0.95526
[285] eval-auc:0.703088 train-auc:0.955356
[286] eval-auc:0.703191 train-auc:0.955409
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[289] eval-auc:0.702433 train-auc:0.955677
[290] eval-auc:0.702114 train-auc:0.955784
[291] eval-auc:0.702789 train-auc:0.955814
[292] eval-auc:0.702574 train-auc:0.955868
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[301] eval-auc:0.702382 train-auc:0.957976
[302] eval-auc:0.702215 train-auc:0.958097
[303] eval-auc:0.701665 train-auc:0.95847
[304] eval-auc:0.701808 train-auc:0.958785
[305] eval-auc:0.701872 train-auc:0.958956
[306] eval-auc:0.701945 train-auc:0.95892
[307] eval-auc:0.701965 train-auc:0.959049
[308] eval-auc:0.702184 train-auc:0.959474
[309] eval-auc:0.702401 train-auc:0.959619
[310] eval-auc:0.7017 train-auc:0.959953
[311] eval-auc:0.701423 train-auc:0.960231
[312] eval-auc:0.701132 train-auc:0.960368
[313] eval-auc:0.701017 train-auc:0.96067
[314] eval-auc:0.701087 train-auc:0.9607
[315] eval-auc:0.70107 train-auc:0.960764
[316] eval-auc:0.700781 train-auc:0.960874
[317] eval-auc:0.70118 train-auc:0.960997
[318] eval-auc:0.701277 train-auc:0.961125
[319] eval-auc:0.70142 train-auc:0.961273
[320] eval-auc:0.701694 train-auc:0.961356
[321] eval-auc:0.701761 train-auc:0.961475
[322] eval-auc:0.7019 train-auc:0.961699
[323] eval-auc:0.70213 train-auc:0.961943
[324] eval-auc:0.70192 train-auc:0.962298
[325] eval-auc:0.70193 train-auc:0.962422
[326] eval-auc:0.701747 train-auc:0.962497
[327] eval-auc:0.70213 train-auc:0.962906
[328] eval-auc:0.70223 train-auc:0.963027
[329] eval-auc:0.701751 train-auc:0.963046
[330] eval-auc:0.701827 train-auc:0.963116
[331] eval-auc:0.701976 train-auc:0.963215
[332] eval-auc:0.701187 train-auc:0.963283
[333] eval-auc:0.701885 train-auc:0.963549
[334] eval-auc:0.701804 train-auc:0.963745
[335] eval-auc:0.701761 train-auc:0.964112
[336] eval-auc:0.702034 train-auc:0.964322
[337] eval-auc:0.701709 train-auc:0.96464
[338] eval-auc:0.701624 train-auc:0.964717
[339] eval-auc:0.70147 train-auc:0.964705
[340] eval-auc:0.70137 train-auc:0.964934
[341] eval-auc:0.701492 train-auc:0.96539
[342] eval-auc:0.70142 train-auc:0.965623
[343] eval-auc:0.701594 train-auc:0.965825
[344] eval-auc:0.700919 train-auc:0.965897
[345] eval-auc:0.700864 train-auc:0.96621
[346] eval-auc:0.701129 train-auc:0.966252
[347] eval-auc:0.700351 train-auc:0.96652
[348] eval-auc:0.700511 train-auc:0.966948
[349] eval-auc:0.700647 train-auc:0.966992
[350] eval-auc:0.700347 train-auc:0.967248
[351] eval-auc:0.700811 train-auc:0.967257
[352] eval-auc:0.700497 train-auc:0.967277
[353] eval-auc:0.700666 train-auc:0.967231
[354] eval-auc:0.700613 train-auc:0.967283
[355] eval-auc:0.700379 train-auc:0.967338
[356] eval-auc:0.700458 train-auc:0.967429
[357] eval-auc:0.700347 train-auc:0.967623
[358] eval-auc:0.700496 train-auc:0.967728
[359] eval-auc:0.700395 train-auc:0.967834
[360] eval-auc:0.700395 train-auc:0.967974
[361] eval-auc:0.700998 train-auc:0.96814
[362] eval-auc:0.701239 train-auc:0.968322
[363] eval-auc:0.701245 train-auc:0.968502
[364] eval-auc:0.70156 train-auc:0.968551
[365] eval-auc:0.701741 train-auc:0.968633
[366] eval-auc:0.701466 train-auc:0.968808
[367] eval-auc:0.701577 train-auc:0.969259
[368] eval-auc:0.701783 train-auc:0.969426
[369] eval-auc:0.701528 train-auc:0.96952
[370] eval-auc:0.701977 train-auc:0.969737
[371] eval-auc:0.701673 train-auc:0.969903
[372] eval-auc:0.701761 train-auc:0.970093
[373] eval-auc:0.701732 train-auc:0.970082
[374] eval-auc:0.702102 train-auc:0.970113
[375] eval-auc:0.70222 train-auc:0.970104
[376] eval-auc:0.702906 train-auc:0.97022
[377] eval-auc:0.702795 train-auc:0.970499
[378] eval-auc:0.702559 train-auc:0.970537
[379] eval-auc:0.702518 train-auc:0.970646
[380] eval-auc:0.702334 train-auc:0.971023
[381] eval-auc:0.702241 train-auc:0.971117
[382] eval-auc:0.702233 train-auc:0.971245
[383] eval-auc:0.702402 train-auc:0.971326
[384] eval-auc:0.702279 train-auc:0.971529
[385] eval-auc:0.70144 train-auc:0.971568
[386] eval-auc:0.701691 train-auc:0.971693
[387] eval-auc:0.701399 train-auc:0.971815
[388] eval-auc:0.701594 train-auc:0.972067
[389] eval-auc:0.701617 train-auc:0.972204
[390] eval-auc:0.701569 train-auc:0.972253
[391] eval-auc:0.701578 train-auc:0.972318
[392] eval-auc:0.701894 train-auc:0.972514
[393] eval-auc:0.701808 train-auc:0.972663
[394] eval-auc:0.702084 train-auc:0.972837
[395] eval-auc:0.701888 train-auc:0.973024
[396] eval-auc:0.702043 train-auc:0.97299
[397] eval-auc:0.702099 train-auc:0.972939
[398] eval-auc:0.701962 train-auc:0.973165
[399] eval-auc:0.701792 train-auc:0.973186
[400] eval-auc:0.701693 train-auc:0.973234
[401] eval-auc:0.702012 train-auc:0.973506
[402] eval-auc:0.702439 train-auc:0.973627
[403] eval-auc:0.702376 train-auc:0.973741
[404] eval-auc:0.702326 train-auc:0.973901
[405] eval-auc:0.702212 train-auc:0.974042
[406] eval-auc:0.702113 train-auc:0.974014
[407] eval-auc:0.70213 train-auc:0.974069
[408] eval-auc:0.702369 train-auc:0.974272
[409] eval-auc:0.70198 train-auc:0.974392
[410] eval-auc:0.702223 train-auc:0.974495
[411] eval-auc:0.701176 train-auc:0.974699
[412] eval-auc:0.701213 train-auc:0.974975
[413] eval-auc:0.700991 train-auc:0.975171
[414] eval-auc:0.700822 train-auc:0.975224
[415] eval-auc:0.700802 train-auc:0.975401
[416] eval-auc:0.70065 train-auc:0.97572
[417] eval-auc:0.700541 train-auc:0.975732
[418] eval-auc:0.700446 train-auc:0.975743
[419] eval-auc:0.701087 train-auc:0.976033
[420] eval-auc:0.701437 train-auc:0.976198
[421] eval-auc:0.701655 train-auc:0.976368
[422] eval-auc:0.701501 train-auc:0.976409
[423] eval-auc:0.701505 train-auc:0.976275
[424] eval-auc:0.701518 train-auc:0.976508
[425] eval-auc:0.701437 train-auc:0.97654
[426] eval-auc:0.70135 train-auc:0.976552
[427] eval-auc:0.701117 train-auc:0.976527
[428] eval-auc:0.701109 train-auc:0.976493
[429] eval-auc:0.701385 train-auc:0.97657
[430] eval-auc:0.701483 train-auc:0.976559
[431] eval-auc:0.701161 train-auc:0.976723
[432] eval-auc:0.701312 train-auc:0.976759
[433] eval-auc:0.701473 train-auc:0.976841
[434] eval-auc:0.701554 train-auc:0.976988
[435] eval-auc:0.701554 train-auc:0.977176
[436] eval-auc:0.701444 train-auc:0.977209
[437] eval-auc:0.701132 train-auc:0.977264
[438] eval-auc:0.700937 train-auc:0.977255
[439] eval-auc:0.700983 train-auc:0.977345
[440] eval-auc:0.700805 train-auc:0.977417
[441] eval-auc:0.700921 train-auc:0.977624
[442] eval-auc:0.701172 train-auc:0.977789
[443] eval-auc:0.701352 train-auc:0.97788
[444] eval-auc:0.701674 train-auc:0.978023
[445] eval-auc:0.701885 train-auc:0.97805
[446] eval-auc:0.701371 train-auc:0.978047
[447] eval-auc:0.701455 train-auc:0.978063
[448] eval-auc:0.701426 train-auc:0.978107
[449] eval-auc:0.700959 train-auc:0.978126
[450] eval-auc:0.701516 train-auc:0.978389
[451] eval-auc:0.700863 train-auc:0.97852
[452] eval-auc:0.701263 train-auc:0.978513
[453] eval-auc:0.701205 train-auc:0.978621
[454] eval-auc:0.700921 train-auc:0.978688
[455] eval-auc:0.700838 train-auc:0.978774
[456] eval-auc:0.70093 train-auc:0.978847
[457] eval-auc:0.700972 train-auc:0.978983
[458] eval-auc:0.700401 train-auc:0.979089
[459] eval-auc:0.700587 train-auc:0.979162
[460] eval-auc:0.700838 train-auc:0.979264
[461] eval-auc:0.700573 train-auc:0.979288
[462] eval-auc:0.700771 train-auc:0.979405
[463] eval-auc:0.701007 train-auc:0.979537
[464] eval-auc:0.700465 train-auc:0.979661
[465] eval-auc:0.700616 train-auc:0.979833
[466] eval-auc:0.700581 train-auc:0.979787
[467] eval-auc:0.700187 train-auc:0.979837
[468] eval-auc:0.699948 train-auc:0.979941
[469] eval-auc:0.699709 train-auc:0.979892
[470] eval-auc:0.699646 train-auc:0.979904
[471] eval-auc:0.699654 train-auc:0.980029
[472] eval-auc:0.699564 train-auc:0.979991
[473] eval-auc:0.69961 train-auc:0.980009
[474] eval-auc:0.699442 train-auc:0.980099
[475] eval-auc:0.699514 train-auc:0.98018
Score 0.6995136376371986
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9500000000000001, 'eta': 0.07500000000000001, 'eval_metric': 'auc', 'gamma': 1.0, 'max_depth': 10, 'min_child_weight': 2.0, 'n_estimators': 105.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9, 'tree_method': 'exact'}
[0] eval-auc:0.693331 train-auc:0.846984
[1] eval-auc:0.668325 train-auc:0.893565
[2] eval-auc:0.683619 train-auc:0.924622
[3] eval-auc:0.694312 train-auc:0.946585
[4] eval-auc:0.691475 train-auc:0.9574
[5] eval-auc:0.690478 train-auc:0.96977
[6] eval-auc:0.689493 train-auc:0.975139
[7] eval-auc:0.691053 train-auc:0.978712
[8] eval-auc:0.694258 train-auc:0.983767
[9] eval-auc:0.692725 train-auc:0.987964
[10] eval-auc:0.693246 train-auc:0.990514
[11] eval-auc:0.697625 train-auc:0.992074
[12] eval-auc:0.693566 train-auc:0.993461
[13] eval-auc:0.69546 train-auc:0.994146
[14] eval-auc:0.695303 train-auc:0.99458
[15] eval-auc:0.696869 train-auc:0.995256
[16] eval-auc:0.698633 train-auc:0.995768
[17] eval-auc:0.697638 train-auc:0.996256
[18] eval-auc:0.697794 train-auc:0.996519
[19] eval-auc:0.695883 train-auc:0.996884
[20] eval-auc:0.696052 train-auc:0.997346
[21] eval-auc:0.695886 train-auc:0.997694
[22] eval-auc:0.695772 train-auc:0.99794
[23] eval-auc:0.69613 train-auc:0.998123
[24] eval-auc:0.696582 train-auc:0.99852
[25] eval-auc:0.697176 train-auc:0.998657
[26] eval-auc:0.697848 train-auc:0.998854
[27] eval-auc:0.697804 train-auc:0.998892
[28] eval-auc:0.697898 train-auc:0.998927
[29] eval-auc:0.69899 train-auc:0.999038
[30] eval-auc:0.699267 train-auc:0.999144
[31] eval-auc:0.700277 train-auc:0.999174
[32] eval-auc:0.70156 train-auc:0.99929
[33] eval-auc:0.702274 train-auc:0.999409
[34] eval-auc:0.702092 train-auc:0.999412
[35] eval-auc:0.701716 train-auc:0.999431
[36] eval-auc:0.700624 train-auc:0.999492
[37] eval-auc:0.700808 train-auc:0.999503
[38] eval-auc:0.701254 train-auc:0.999536
[39] eval-auc:0.701518 train-auc:0.999546
[40] eval-auc:0.70244 train-auc:0.999596
[41] eval-auc:0.70258 train-auc:0.99962
[42] eval-auc:0.702654 train-auc:0.999655
[43] eval-auc:0.704437 train-auc:0.999713
[44] eval-auc:0.705789 train-auc:0.999716
[45] eval-auc:0.705952 train-auc:0.999764
[46] eval-auc:0.705174 train-auc:0.999783
[47] eval-auc:0.705481 train-auc:0.999789
[48] eval-auc:0.704065 train-auc:0.999829
[49] eval-auc:0.703272 train-auc:0.999858
[50] eval-auc:0.702722 train-auc:0.99988
[51] eval-auc:0.701923 train-auc:0.999887
[52] eval-auc:0.702996 train-auc:0.999899
[53] eval-auc:0.703177 train-auc:0.999904
[54] eval-auc:0.703387 train-auc:0.999911
[55] eval-auc:0.703715 train-auc:0.999916
[56] eval-auc:0.703952 train-auc:0.999913
[57] eval-auc:0.70415 train-auc:0.999919
[58] eval-auc:0.705289 train-auc:0.99994
[59] eval-auc:0.705504 train-auc:0.999944
[60] eval-auc:0.705527 train-auc:0.999956
[61] eval-auc:0.70535 train-auc:0.999957
[62] eval-auc:0.705332 train-auc:0.999954
[63] eval-auc:0.705384 train-auc:0.999958
[64] eval-auc:0.705426 train-auc:0.999959
[65] eval-auc:0.705382 train-auc:0.999966
[66] eval-auc:0.705968 train-auc:0.999974
[67] eval-auc:0.70482 train-auc:0.999978
[68] eval-auc:0.704925 train-auc:0.999975
[69] eval-auc:0.70527 train-auc:0.999979
[70] eval-auc:0.705006 train-auc:0.999982
[71] eval-auc:0.704332 train-auc:0.999985
[72] eval-auc:0.703704 train-auc:0.999986
[73] eval-auc:0.704216 train-auc:0.999989
[74] eval-auc:0.704428 train-auc:0.99999
[75] eval-auc:0.70534 train-auc:0.999989
[76] eval-auc:0.705323 train-auc:0.999989
[77] eval-auc:0.705531 train-auc:0.999992
[78] eval-auc:0.706078 train-auc:0.999993
[79] eval-auc:0.705335 train-auc:0.999993
[80] eval-auc:0.704677 train-auc:0.999993
[81] eval-auc:0.704188 train-auc:0.999992
[82] eval-auc:0.704426 train-auc:0.999992
[83] eval-auc:0.704487 train-auc:0.999992
[84] eval-auc:0.704723 train-auc:0.999994
[85] eval-auc:0.704254 train-auc:0.999997
[86] eval-auc:0.704242 train-auc:0.999997
[87] eval-auc:0.703464 train-auc:0.999998
[88] eval-auc:0.703218 train-auc:0.999998
[89] eval-auc:0.703267 train-auc:0.999999
[90] eval-auc:0.703558 train-auc:0.999999
[91] eval-auc:0.703729 train-auc:0.999999
[92] eval-auc:0.703249 train-auc:0.999999
[93] eval-auc:0.703875 train-auc:0.999999
[94] eval-auc:0.703741 train-auc:0.999999
[95] eval-auc:0.703994 train-auc:0.999999
[96] eval-auc:0.704105 train-auc:0.999999
[97] eval-auc:0.7043 train-auc:0.999999
[98] eval-auc:0.70447 train-auc:0.999999
[99] eval-auc:0.704388 train-auc:0.999999
[100] eval-auc:0.704102 train-auc:0.999999
[101] eval-auc:0.704374 train-auc:0.999999
[102] eval-auc:0.703974 train-auc:0.999999
[103] eval-auc:0.703244 train-auc:0.999999
[104] eval-auc:0.703136 train-auc:0.999999
Score 0.7031362301891849
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9, 'eta': 0.17500000000000002, 'eval_metric': 'auc', 'gamma': 0.9, 'max_depth': 7, 'min_child_weight': 1.0, 'n_estimators': 158.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.8500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.683322 train-auc:0.779057
[1] eval-auc:0.674456 train-auc:0.822379
[2] eval-auc:0.692798 train-auc:0.85178
[3] eval-auc:0.693835 train-auc:0.873896
[4] eval-auc:0.693876 train-auc:0.887736
[5] eval-auc:0.694242 train-auc:0.899741
[6] eval-auc:0.700969 train-auc:0.909987
[7] eval-auc:0.705013 train-auc:0.915257
[8] eval-auc:0.708505 train-auc:0.923248
[9] eval-auc:0.702334 train-auc:0.933284
[10] eval-auc:0.705576 train-auc:0.9426
[11] eval-auc:0.704155 train-auc:0.944162
[12] eval-auc:0.703828 train-auc:0.947234
[13] eval-auc:0.704616 train-auc:0.950819
[14] eval-auc:0.704613 train-auc:0.956078
[15] eval-auc:0.704929 train-auc:0.957843
[16] eval-auc:0.707909 train-auc:0.962317
[17] eval-auc:0.708194 train-auc:0.964767
[18] eval-auc:0.706741 train-auc:0.966398
[19] eval-auc:0.705231 train-auc:0.970496
[20] eval-auc:0.705306 train-auc:0.973414
[21] eval-auc:0.702835 train-auc:0.975251
[22] eval-auc:0.70207 train-auc:0.977604
[23] eval-auc:0.699806 train-auc:0.980078
[24] eval-auc:0.702248 train-auc:0.981237
[25] eval-auc:0.70158 train-auc:0.983818
[26] eval-auc:0.700444 train-auc:0.984279
[27] eval-auc:0.701076 train-auc:0.984974
[28] eval-auc:0.701741 train-auc:0.985457
[29] eval-auc:0.702159 train-auc:0.986164
[30] eval-auc:0.69968 train-auc:0.988141
[31] eval-auc:0.700423 train-auc:0.988309
[32] eval-auc:0.698736 train-auc:0.989416
[33] eval-auc:0.699735 train-auc:0.990107
[34] eval-auc:0.69864 train-auc:0.990583
[35] eval-auc:0.699101 train-auc:0.990808
[36] eval-auc:0.69924 train-auc:0.991794
[37] eval-auc:0.70017 train-auc:0.992287
[38] eval-auc:0.699954 train-auc:0.99269
[39] eval-auc:0.700354 train-auc:0.993323
[40] eval-auc:0.700796 train-auc:0.993631
[41] eval-auc:0.7002 train-auc:0.994497
[42] eval-auc:0.699884 train-auc:0.99516
[43] eval-auc:0.699471 train-auc:0.995574
[44] eval-auc:0.698323 train-auc:0.99576
[45] eval-auc:0.700004 train-auc:0.996016
[46] eval-auc:0.700773 train-auc:0.996525
[47] eval-auc:0.700404 train-auc:0.996729
[48] eval-auc:0.700039 train-auc:0.99688
[49] eval-auc:0.700089 train-auc:0.99704
[50] eval-auc:0.699186 train-auc:0.997133
[51] eval-auc:0.699648 train-auc:0.997447
[52] eval-auc:0.69883 train-auc:0.997665
[53] eval-auc:0.698736 train-auc:0.997722
[54] eval-auc:0.699521 train-auc:0.99806
[55] eval-auc:0.698516 train-auc:0.998142
[56] eval-auc:0.69661 train-auc:0.9984
[57] eval-auc:0.696359 train-auc:0.998425
[58] eval-auc:0.695804 train-auc:0.998585
[59] eval-auc:0.696853 train-auc:0.998663
[60] eval-auc:0.698588 train-auc:0.998826
[61] eval-auc:0.698355 train-auc:0.998946
[62] eval-auc:0.698769 train-auc:0.999019
[63] eval-auc:0.698646 train-auc:0.99906
[64] eval-auc:0.698218 train-auc:0.9991
[65] eval-auc:0.69828 train-auc:0.9991
[66] eval-auc:0.697896 train-auc:0.999103
[67] eval-auc:0.697826 train-auc:0.999179
[68] eval-auc:0.697085 train-auc:0.999207
[69] eval-auc:0.697089 train-auc:0.999216
[70] eval-auc:0.696354 train-auc:0.999313
[71] eval-auc:0.696745 train-auc:0.999337
[72] eval-auc:0.696232 train-auc:0.999356
[73] eval-auc:0.695535 train-auc:0.999393
[74] eval-auc:0.694988 train-auc:0.999473
[75] eval-auc:0.695553 train-auc:0.999509
[76] eval-auc:0.696363 train-auc:0.999593
[77] eval-auc:0.696671 train-auc:0.999615
[78] eval-auc:0.697016 train-auc:0.999661
[79] eval-auc:0.69662 train-auc:0.999678
[80] eval-auc:0.696943 train-auc:0.999684
[81] eval-auc:0.697076 train-auc:0.999701
[82] eval-auc:0.697609 train-auc:0.999708
[83] eval-auc:0.698244 train-auc:0.999748
[84] eval-auc:0.698265 train-auc:0.999764
[85] eval-auc:0.698306 train-auc:0.999788
[86] eval-auc:0.696818 train-auc:0.999798
[87] eval-auc:0.696165 train-auc:0.999793
[88] eval-auc:0.694959 train-auc:0.999813
[89] eval-auc:0.694454 train-auc:0.999821
[90] eval-auc:0.694294 train-auc:0.999843
[91] eval-auc:0.694128 train-auc:0.999855
[92] eval-auc:0.694394 train-auc:0.99986
[93] eval-auc:0.69451 train-auc:0.999861
[94] eval-auc:0.69442 train-auc:0.999861
[95] eval-auc:0.694894 train-auc:0.999865
[96] eval-auc:0.695256 train-auc:0.999872
[97] eval-auc:0.694982 train-auc:0.999875
[98] eval-auc:0.694155 train-auc:0.999882
[99] eval-auc:0.694061 train-auc:0.999884
[100] eval-auc:0.694014 train-auc:0.999889
[101] eval-auc:0.691984 train-auc:0.999887
[102] eval-auc:0.691411 train-auc:0.999893
[103] eval-auc:0.690618 train-auc:0.99992
[104] eval-auc:0.690097 train-auc:0.999931
[105] eval-auc:0.691425 train-auc:0.999938
[106] eval-auc:0.690041 train-auc:0.999933
[107] eval-auc:0.690435 train-auc:0.999934
[108] eval-auc:0.690464 train-auc:0.999939
[109] eval-auc:0.690737 train-auc:0.999938
[110] eval-auc:0.690677 train-auc:0.99994
[111] eval-auc:0.691541 train-auc:0.999951
[112] eval-auc:0.692119 train-auc:0.99996
[113] eval-auc:0.692209 train-auc:0.99996
[114] eval-auc:0.691786 train-auc:0.99996
[115] eval-auc:0.691125 train-auc:0.99996
[116] eval-auc:0.691498 train-auc:0.999965
[117] eval-auc:0.689853 train-auc:0.999971
[118] eval-auc:0.690006 train-auc:0.999974
[119] eval-auc:0.691184 train-auc:0.999972
[120] eval-auc:0.690654 train-auc:0.999976
[121] eval-auc:0.691084 train-auc:0.999977
[122] eval-auc:0.691318 train-auc:0.999978
[123] eval-auc:0.690836 train-auc:0.999978
[124] eval-auc:0.690625 train-auc:0.999979
[125] eval-auc:0.690254 train-auc:0.99999
[126] eval-auc:0.689033 train-auc:0.999989
[127] eval-auc:0.689369 train-auc:0.999989
[128] eval-auc:0.689834 train-auc:0.999989
[129] eval-auc:0.688379 train-auc:0.99999
[130] eval-auc:0.688628 train-auc:0.999991
[131] eval-auc:0.688631 train-auc:0.999991
[132] eval-auc:0.688163 train-auc:0.999991
[133] eval-auc:0.687315 train-auc:0.999992
[134] eval-auc:0.686822 train-auc:0.999991
[135] eval-auc:0.687242 train-auc:0.999991
[136] eval-auc:0.685867 train-auc:0.999995
[137] eval-auc:0.685398 train-auc:0.999996
[138] eval-auc:0.685777 train-auc:0.999997
[139] eval-auc:0.685556 train-auc:0.999998
[140] eval-auc:0.685626 train-auc:0.999997
[141] eval-auc:0.685894 train-auc:0.999998
[142] eval-auc:0.685153 train-auc:0.999998
[143] eval-auc:0.685451 train-auc:0.999998
[144] eval-auc:0.686269 train-auc:0.999998
[145] eval-auc:0.686228 train-auc:0.999998
[146] eval-auc:0.686625 train-auc:0.999999
[147] eval-auc:0.686156 train-auc:0.999999
[148] eval-auc:0.686369 train-auc:0.999999
[149] eval-auc:0.686455 train-auc:0.999999
[150] eval-auc:0.687773 train-auc:1
[151] eval-auc:0.687871 train-auc:1
[152] eval-auc:0.687501 train-auc:1
[153] eval-auc:0.687513 train-auc:1
[154] eval-auc:0.687682 train-auc:1
[155] eval-auc:0.688189 train-auc:1
[156] eval-auc:0.688044 train-auc:1
[157] eval-auc:0.688532 train-auc:1
Score 0.688531654667495
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9500000000000001, 'eta': 0.025, 'eval_metric': 'auc', 'gamma': 1.0, 'max_depth': 8, 'min_child_weight': 2.0, 'n_estimators': 188.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.8, 'tree_method': 'exact'}
[0] eval-auc:0.697125 train-auc:0.795921
[1] eval-auc:0.668344 train-auc:0.835118
[2] eval-auc:0.690647 train-auc:0.867733
[3] eval-auc:0.697215 train-auc:0.883855
[4] eval-auc:0.694743 train-auc:0.898724
[5] eval-auc:0.690387 train-auc:0.911282
[6] eval-auc:0.688387 train-auc:0.918573
[7] eval-auc:0.691077 train-auc:0.923102
[8] eval-auc:0.696091 train-auc:0.927866
[9] eval-auc:0.697024 train-auc:0.93289
[10] eval-auc:0.698573 train-auc:0.936637
[11] eval-auc:0.695804 train-auc:0.938167
[12] eval-auc:0.698168 train-auc:0.941004
[13] eval-auc:0.697648 train-auc:0.942421
[14] eval-auc:0.698898 train-auc:0.946395
[15] eval-auc:0.698926 train-auc:0.947615
[16] eval-auc:0.699425 train-auc:0.951285
[17] eval-auc:0.701719 train-auc:0.953414
[18] eval-auc:0.70146 train-auc:0.95429
[19] eval-auc:0.702296 train-auc:0.955614
[20] eval-auc:0.705053 train-auc:0.956166
[21] eval-auc:0.704332 train-auc:0.957035
[22] eval-auc:0.706836 train-auc:0.958865
[23] eval-auc:0.706782 train-auc:0.95872
[24] eval-auc:0.707211 train-auc:0.95929
[25] eval-auc:0.707753 train-auc:0.959357
[26] eval-auc:0.706565 train-auc:0.960154
[27] eval-auc:0.708463 train-auc:0.962207
[28] eval-auc:0.707977 train-auc:0.962079
[29] eval-auc:0.708227 train-auc:0.96278
[30] eval-auc:0.707657 train-auc:0.963707
[31] eval-auc:0.70675 train-auc:0.965024
[32] eval-auc:0.705797 train-auc:0.966337
[33] eval-auc:0.704762 train-auc:0.967158
[34] eval-auc:0.703195 train-auc:0.968305
[35] eval-auc:0.701924 train-auc:0.968892
[36] eval-auc:0.702457 train-auc:0.970228
[37] eval-auc:0.702248 train-auc:0.970616
[38] eval-auc:0.701473 train-auc:0.97178
[39] eval-auc:0.702236 train-auc:0.973019
[40] eval-auc:0.702012 train-auc:0.974416
[41] eval-auc:0.701981 train-auc:0.975164
[42] eval-auc:0.701627 train-auc:0.975232
[43] eval-auc:0.702893 train-auc:0.97601
[44] eval-auc:0.703211 train-auc:0.976064
[45] eval-auc:0.703275 train-auc:0.976626
[46] eval-auc:0.703707 train-auc:0.977055
[47] eval-auc:0.703856 train-auc:0.977609
[48] eval-auc:0.703768 train-auc:0.977648
[49] eval-auc:0.704026 train-auc:0.978402
[50] eval-auc:0.704403 train-auc:0.978769
[51] eval-auc:0.704018 train-auc:0.9796
[52] eval-auc:0.704243 train-auc:0.979727
[53] eval-auc:0.704686 train-auc:0.980584
[54] eval-auc:0.704423 train-auc:0.981613
[55] eval-auc:0.704153 train-auc:0.982272
[56] eval-auc:0.704125 train-auc:0.982765
[57] eval-auc:0.703869 train-auc:0.983036
[58] eval-auc:0.703045 train-auc:0.983612
[59] eval-auc:0.702492 train-auc:0.983676
[60] eval-auc:0.702105 train-auc:0.984067
[61] eval-auc:0.701729 train-auc:0.984712
[62] eval-auc:0.701857 train-auc:0.985004
[63] eval-auc:0.700511 train-auc:0.985568
[64] eval-auc:0.700077 train-auc:0.985848
[65] eval-auc:0.700438 train-auc:0.98591
[66] eval-auc:0.700069 train-auc:0.986446
[67] eval-auc:0.701356 train-auc:0.987097
[68] eval-auc:0.700921 train-auc:0.987646
[69] eval-auc:0.700695 train-auc:0.987795
[70] eval-auc:0.701 train-auc:0.988208
[71] eval-auc:0.701726 train-auc:0.988658
[72] eval-auc:0.70091 train-auc:0.988923
[73] eval-auc:0.701431 train-auc:0.989197
[74] eval-auc:0.701358 train-auc:0.989574
[75] eval-auc:0.701874 train-auc:0.989865
[76] eval-auc:0.70183 train-auc:0.989942
[77] eval-auc:0.701828 train-auc:0.990445
[78] eval-auc:0.701521 train-auc:0.990624
[79] eval-auc:0.700799 train-auc:0.990798
[80] eval-auc:0.700855 train-auc:0.990803
[81] eval-auc:0.700223 train-auc:0.990897
[82] eval-auc:0.700213 train-auc:0.991112
[83] eval-auc:0.700371 train-auc:0.991184
[84] eval-auc:0.70057 train-auc:0.991256
[85] eval-auc:0.699794 train-auc:0.991481
[86] eval-auc:0.699282 train-auc:0.991696
[87] eval-auc:0.699208 train-auc:0.991788
[88] eval-auc:0.699278 train-auc:0.992011
[89] eval-auc:0.698707 train-auc:0.992226
[90] eval-auc:0.698431 train-auc:0.992405
[91] eval-auc:0.698964 train-auc:0.992682
[92] eval-auc:0.698796 train-auc:0.993079
[93] eval-auc:0.699224 train-auc:0.993095
[94] eval-auc:0.699401 train-auc:0.993399
[95] eval-auc:0.699054 train-auc:0.993501
[96] eval-auc:0.698999 train-auc:0.993565
[97] eval-auc:0.699392 train-auc:0.993629
[98] eval-auc:0.699542 train-auc:0.993757
[99] eval-auc:0.698903 train-auc:0.993961
[100] eval-auc:0.699084 train-auc:0.994068
[101] eval-auc:0.699378 train-auc:0.994292
[102] eval-auc:0.69939 train-auc:0.994365
[103] eval-auc:0.69941 train-auc:0.994449
[104] eval-auc:0.699058 train-auc:0.99457
[105] eval-auc:0.699537 train-auc:0.994669
[106] eval-auc:0.700213 train-auc:0.994805
[107] eval-auc:0.700353 train-auc:0.994907
[108] eval-auc:0.700395 train-auc:0.994967
[109] eval-auc:0.700768 train-auc:0.995021
[110] eval-auc:0.700735 train-auc:0.995029
[111] eval-auc:0.700892 train-auc:0.995209
[112] eval-auc:0.700969 train-auc:0.995364
[113] eval-auc:0.701039 train-auc:0.995446
[114] eval-auc:0.701193 train-auc:0.995469
[115] eval-auc:0.700816 train-auc:0.995556
[116] eval-auc:0.701428 train-auc:0.995691
[117] eval-auc:0.70138 train-auc:0.995751
[118] eval-auc:0.70153 train-auc:0.995759
[119] eval-auc:0.701423 train-auc:0.995843
[120] eval-auc:0.700893 train-auc:0.996058
[121] eval-auc:0.701038 train-auc:0.996111
[122] eval-auc:0.701365 train-auc:0.996188
[123] eval-auc:0.701017 train-auc:0.99624
[124] eval-auc:0.701138 train-auc:0.996343
[125] eval-auc:0.701361 train-auc:0.996456
[126] eval-auc:0.701473 train-auc:0.996497
[127] eval-auc:0.701148 train-auc:0.996584
[128] eval-auc:0.701003 train-auc:0.996643
[129] eval-auc:0.700922 train-auc:0.996682
[130] eval-auc:0.700802 train-auc:0.996776
[131] eval-auc:0.701175 train-auc:0.996881
[132] eval-auc:0.701006 train-auc:0.996977
[133] eval-auc:0.70093 train-auc:0.9971
[134] eval-auc:0.701015 train-auc:0.997202
[135] eval-auc:0.701109 train-auc:0.997353
[136] eval-auc:0.701186 train-auc:0.997408
[137] eval-auc:0.700995 train-auc:0.997462
[138] eval-auc:0.701502 train-auc:0.997487
[139] eval-auc:0.701519 train-auc:0.997529
[140] eval-auc:0.701027 train-auc:0.997587
[141] eval-auc:0.701103 train-auc:0.997579
[142] eval-auc:0.701531 train-auc:0.997571
[143] eval-auc:0.701638 train-auc:0.997627
[144] eval-auc:0.701912 train-auc:0.997633
[145] eval-auc:0.701913 train-auc:0.997655
[146] eval-auc:0.702012 train-auc:0.997728
[147] eval-auc:0.702061 train-auc:0.99778
[148] eval-auc:0.70225 train-auc:0.997836
[149] eval-auc:0.701942 train-auc:0.997889
[150] eval-auc:0.702151 train-auc:0.99793
[151] eval-auc:0.702043 train-auc:0.997992
[152] eval-auc:0.702099 train-auc:0.998046
[153] eval-auc:0.701945 train-auc:0.998051
[154] eval-auc:0.702076 train-auc:0.998055
[155] eval-auc:0.702513 train-auc:0.998117
[156] eval-auc:0.702865 train-auc:0.998164
[157] eval-auc:0.702778 train-auc:0.998199
[158] eval-auc:0.702917 train-auc:0.998218
[159] eval-auc:0.702777 train-auc:0.99821
[160] eval-auc:0.702827 train-auc:0.998262
[161] eval-auc:0.702776 train-auc:0.998274
[162] eval-auc:0.702603 train-auc:0.998283
[163] eval-auc:0.702475 train-auc:0.998293
[164] eval-auc:0.702573 train-auc:0.998302
[165] eval-auc:0.702641 train-auc:0.998326
[166] eval-auc:0.702954 train-auc:0.998367
[167] eval-auc:0.703448 train-auc:0.998379
[168] eval-auc:0.703039 train-auc:0.99842
[169] eval-auc:0.703045 train-auc:0.998437
[170] eval-auc:0.703139 train-auc:0.998456
[171] eval-auc:0.7032 train-auc:0.998472
[172] eval-auc:0.703374 train-auc:0.998497
[173] eval-auc:0.703214 train-auc:0.99851
[174] eval-auc:0.703273 train-auc:0.998541
[175] eval-auc:0.703215 train-auc:0.998558
[176] eval-auc:0.7026 train-auc:0.998567
[177] eval-auc:0.702641 train-auc:0.998588
[178] eval-auc:0.702724 train-auc:0.998625
[179] eval-auc:0.702727 train-auc:0.998631
[180] eval-auc:0.702705 train-auc:0.998641
[181] eval-auc:0.702734 train-auc:0.998696
[182] eval-auc:0.702471 train-auc:0.998696
[183] eval-auc:0.702392 train-auc:0.998713
[184] eval-auc:0.702221 train-auc:0.998744
[185] eval-auc:0.702139 train-auc:0.998749
[186] eval-auc:0.701994 train-auc:0.998788
[187] eval-auc:0.701722 train-auc:0.998792
Score 0.7017216070362654
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8500000000000001, 'eta': 0.35000000000000003, 'eval_metric': 'auc', 'gamma': 0.9500000000000001, 'max_depth': 9, 'min_child_weight': 1.0, 'n_estimators': 309.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.699335 train-auc:0.83035
[1] eval-auc:0.665422 train-auc:0.891398
[2] eval-auc:0.679571 train-auc:0.936301
[3] eval-auc:0.684316 train-auc:0.961699
[4] eval-auc:0.686313 train-auc:0.969645
[5] eval-auc:0.684109 train-auc:0.978195
[6] eval-auc:0.680607 train-auc:0.984332
[7] eval-auc:0.686812 train-auc:0.987386
[8] eval-auc:0.688154 train-auc:0.99071
[9] eval-auc:0.687479 train-auc:0.992023
[10] eval-auc:0.68995 train-auc:0.994072
[11] eval-auc:0.687792 train-auc:0.994322
[12] eval-auc:0.690157 train-auc:0.997004
[13] eval-auc:0.690635 train-auc:0.997715
[14] eval-auc:0.689981 train-auc:0.998096
[15] eval-auc:0.688328 train-auc:0.998142
[16] eval-auc:0.685419 train-auc:0.998381
[17] eval-auc:0.686426 train-auc:0.99899
[18] eval-auc:0.684906 train-auc:0.999314
[19] eval-auc:0.685258 train-auc:0.999532
[20] eval-auc:0.688346 train-auc:0.999668
[21] eval-auc:0.686503 train-auc:0.999692
[22] eval-auc:0.685204 train-auc:0.99968
[23] eval-auc:0.684224 train-auc:0.999828
[24] eval-auc:0.684219 train-auc:0.999875
[25] eval-auc:0.687906 train-auc:0.999919
[26] eval-auc:0.688338 train-auc:0.999937
[27] eval-auc:0.689208 train-auc:0.999944
[28] eval-auc:0.687726 train-auc:0.999946
[29] eval-auc:0.68855 train-auc:0.999965
[30] eval-auc:0.686642 train-auc:0.99997
[31] eval-auc:0.687821 train-auc:0.999972
[32] eval-auc:0.687411 train-auc:0.999969
[33] eval-auc:0.685896 train-auc:0.999975
[34] eval-auc:0.685529 train-auc:0.999985
[35] eval-auc:0.684148 train-auc:0.999986
[36] eval-auc:0.682164 train-auc:0.999988
[37] eval-auc:0.682011 train-auc:0.999997
[38] eval-auc:0.680543 train-auc:0.999997
[39] eval-auc:0.680626 train-auc:0.999998
[40] eval-auc:0.680641 train-auc:1
[41] eval-auc:0.679415 train-auc:1
[42] eval-auc:0.678809 train-auc:1
[43] eval-auc:0.678972 train-auc:1
[44] eval-auc:0.679899 train-auc:1
[45] eval-auc:0.681137 train-auc:1
[46] eval-auc:0.680685 train-auc:1
[47] eval-auc:0.682046 train-auc:1
[48] eval-auc:0.683517 train-auc:1
[49] eval-auc:0.683033 train-auc:1
[50] eval-auc:0.682661 train-auc:1
[51] eval-auc:0.683482 train-auc:1
[52] eval-auc:0.683863 train-auc:1
[53] eval-auc:0.684594 train-auc:1
[54] eval-auc:0.683724 train-auc:1
[55] eval-auc:0.683657 train-auc:1
[56] eval-auc:0.684259 train-auc:1
[57] eval-auc:0.684396 train-auc:1
[58] eval-auc:0.683928 train-auc:1
[59] eval-auc:0.683855 train-auc:1
[60] eval-auc:0.683121 train-auc:1
[61] eval-auc:0.683121 train-auc:1
[62] eval-auc:0.682454 train-auc:1
[63] eval-auc:0.68208 train-auc:1
[64] eval-auc:0.682042 train-auc:1
[65] eval-auc:0.681746 train-auc:1
[66] eval-auc:0.68171 train-auc:1
[67] eval-auc:0.680373 train-auc:1
[68] eval-auc:0.680082 train-auc:1
[69] eval-auc:0.679347 train-auc:1
[70] eval-auc:0.679286 train-auc:1
[71] eval-auc:0.679057 train-auc:1
[72] eval-auc:0.678795 train-auc:1
[73] eval-auc:0.678479 train-auc:1
[74] eval-auc:0.678057 train-auc:1
[75] eval-auc:0.67841 train-auc:1
[76] eval-auc:0.677967 train-auc:1
[77] eval-auc:0.677582 train-auc:1
[78] eval-auc:0.677929 train-auc:1
[79] eval-auc:0.678188 train-auc:1
[80] eval-auc:0.677697 train-auc:1
[81] eval-auc:0.677053 train-auc:1
[82] eval-auc:0.677256 train-auc:1
[83] eval-auc:0.676781 train-auc:1
[84] eval-auc:0.676676 train-auc:1
[85] eval-auc:0.676577 train-auc:1
[86] eval-auc:0.677891 train-auc:1
[87] eval-auc:0.67823 train-auc:1
[88] eval-auc:0.67823 train-auc:1
[89] eval-auc:0.677949 train-auc:1
[90] eval-auc:0.67772 train-auc:1
[91] eval-auc:0.677338 train-auc:1
[92] eval-auc:0.677656 train-auc:1
[93] eval-auc:0.677521 train-auc:1
[94] eval-auc:0.6767 train-auc:1
[95] eval-auc:0.676603 train-auc:1
[96] eval-auc:0.67645 train-auc:1
[97] eval-auc:0.677154 train-auc:1
[98] eval-auc:0.676933 train-auc:1
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[100] eval-auc:0.676537 train-auc:1
[101] eval-auc:0.676539 train-auc:1
[102] eval-auc:0.676851 train-auc:1
[103] eval-auc:0.676118 train-auc:1
[104] eval-auc:0.675232 train-auc:1
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[106] eval-auc:0.675352 train-auc:1
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[109] eval-auc:0.674874 train-auc:1
[110] eval-auc:0.676934 train-auc:1
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[113] eval-auc:0.676709 train-auc:1
[114] eval-auc:0.676709 train-auc:1
[115] eval-auc:0.676715 train-auc:1
[116] eval-auc:0.676491 train-auc:1
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[118] eval-auc:0.676167 train-auc:1
[119] eval-auc:0.676033 train-auc:1
[120] eval-auc:0.676036 train-auc:1
[121] eval-auc:0.677801 train-auc:1
[122] eval-auc:0.677448 train-auc:1
[123] eval-auc:0.677518 train-auc:1
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[130] eval-auc:0.67987 train-auc:1
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[132] eval-auc:0.679787 train-auc:1
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[134] eval-auc:0.678992 train-auc:1
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[140] eval-auc:0.67919 train-auc:1
[141] eval-auc:0.680239 train-auc:1
[142] eval-auc:0.680615 train-auc:1
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[144] eval-auc:0.680953 train-auc:1
[145] eval-auc:0.680953 train-auc:1
[146] eval-auc:0.680953 train-auc:1
[147] eval-auc:0.680953 train-auc:1
[148] eval-auc:0.680697 train-auc:1
[149] eval-auc:0.680697 train-auc:1
[150] eval-auc:0.679934 train-auc:1
[151] eval-auc:0.679916 train-auc:1
[152] eval-auc:0.680029 train-auc:1
[153] eval-auc:0.680017 train-auc:1
[154] eval-auc:0.680017 train-auc:1
[155] eval-auc:0.680017 train-auc:1
[156] eval-auc:0.679487 train-auc:1
[157] eval-auc:0.679487 train-auc:1
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[159] eval-auc:0.679487 train-auc:1
[160] eval-auc:0.679547 train-auc:1
[161] eval-auc:0.679163 train-auc:1
[162] eval-auc:0.679163 train-auc:1
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[165] eval-auc:0.679151 train-auc:1
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[170] eval-auc:0.679101 train-auc:1
[171] eval-auc:0.679101 train-auc:1
[172] eval-auc:0.678896 train-auc:1
[173] eval-auc:0.678896 train-auc:1
[174] eval-auc:0.678896 train-auc:1
[175] eval-auc:0.678412 train-auc:1
[176] eval-auc:0.678139 train-auc:1
[177] eval-auc:0.678139 train-auc:1
[178] eval-auc:0.678139 train-auc:1
[179] eval-auc:0.678139 train-auc:1
[180] eval-auc:0.678139 train-auc:1
[181] eval-auc:0.678139 train-auc:1
[182] eval-auc:0.678139 train-auc:1
[183] eval-auc:0.678305 train-auc:1
[184] eval-auc:0.678305 train-auc:1
[185] eval-auc:0.67855 train-auc:1
[186] eval-auc:0.67855 train-auc:1
[187] eval-auc:0.678497 train-auc:1
[188] eval-auc:0.678483 train-auc:1
[189] eval-auc:0.679427 train-auc:1
[190] eval-auc:0.679427 train-auc:1
[191] eval-auc:0.679027 train-auc:1
[192] eval-auc:0.679229 train-auc:1
[193] eval-auc:0.679229 train-auc:1
[194] eval-auc:0.679375 train-auc:1
[195] eval-auc:0.679375 train-auc:1
[196] eval-auc:0.679375 train-auc:1
[197] eval-auc:0.679375 train-auc:1
[198] eval-auc:0.679375 train-auc:1
[199] eval-auc:0.679375 train-auc:1
[200] eval-auc:0.679375 train-auc:1
[201] eval-auc:0.679375 train-auc:1
[202] eval-auc:0.679375 train-auc:1
[203] eval-auc:0.679685 train-auc:1
[204] eval-auc:0.679707 train-auc:1
[205] eval-auc:0.679692 train-auc:1
[206] eval-auc:0.679692 train-auc:1
[207] eval-auc:0.679692 train-auc:1
[208] eval-auc:0.679692 train-auc:1
[209] eval-auc:0.679692 train-auc:1
[210] eval-auc:0.679692 train-auc:1
[211] eval-auc:0.679692 train-auc:1
[212] eval-auc:0.679452 train-auc:1
[213] eval-auc:0.679452 train-auc:1
[214] eval-auc:0.679452 train-auc:1
[215] eval-auc:0.679452 train-auc:1
[216] eval-auc:0.679452 train-auc:1
[217] eval-auc:0.679452 train-auc:1
[218] eval-auc:0.679452 train-auc:1
[219] eval-auc:0.679452 train-auc:1
[220] eval-auc:0.679203 train-auc:1
[221] eval-auc:0.679203 train-auc:1
[222] eval-auc:0.679203 train-auc:1
[223] eval-auc:0.679203 train-auc:1
[224] eval-auc:0.679484 train-auc:1
[225] eval-auc:0.679484 train-auc:1
[226] eval-auc:0.679484 train-auc:1
[227] eval-auc:0.679484 train-auc:1
[228] eval-auc:0.679484 train-auc:1
[229] eval-auc:0.679484 train-auc:1
[230] eval-auc:0.679229 train-auc:1
[231] eval-auc:0.679229 train-auc:1
[232] eval-auc:0.679229 train-auc:1
[233] eval-auc:0.679229 train-auc:1
[234] eval-auc:0.679229 train-auc:1
[235] eval-auc:0.679229 train-auc:1
[236] eval-auc:0.679263 train-auc:1
[237] eval-auc:0.679263 train-auc:1
[238] eval-auc:0.679057 train-auc:1
[239] eval-auc:0.679057 train-auc:1
[240] eval-auc:0.679057 train-auc:1
[241] eval-auc:0.678754 train-auc:1
[242] eval-auc:0.678754 train-auc:1
[243] eval-auc:0.678754 train-auc:1
[244] eval-auc:0.678754 train-auc:1
[245] eval-auc:0.678754 train-auc:1
[246] eval-auc:0.678754 train-auc:1
[247] eval-auc:0.678754 train-auc:1
[248] eval-auc:0.678754 train-auc:1
[249] eval-auc:0.678226 train-auc:1
[250] eval-auc:0.678311 train-auc:1
[251] eval-auc:0.678311 train-auc:1
[252] eval-auc:0.678311 train-auc:1
[253] eval-auc:0.678311 train-auc:1
[254] eval-auc:0.678311 train-auc:1
[255] eval-auc:0.678311 train-auc:1
[256] eval-auc:0.678311 train-auc:1
[257] eval-auc:0.678311 train-auc:1
[258] eval-auc:0.678311 train-auc:1
[259] eval-auc:0.678311 train-auc:1
[260] eval-auc:0.678311 train-auc:1
[261] eval-auc:0.678311 train-auc:1
[262] eval-auc:0.678311 train-auc:1
[263] eval-auc:0.678311 train-auc:1
[264] eval-auc:0.678311 train-auc:1
[265] eval-auc:0.678311 train-auc:1
[266] eval-auc:0.678311 train-auc:1
[267] eval-auc:0.678453 train-auc:1
[268] eval-auc:0.678702 train-auc:1
[269] eval-auc:0.678702 train-auc:1
[270] eval-auc:0.678702 train-auc:1
[271] eval-auc:0.678702 train-auc:1
[272] eval-auc:0.678702 train-auc:1
[273] eval-auc:0.678702 train-auc:1
[274] eval-auc:0.678702 train-auc:1
[275] eval-auc:0.678702 train-auc:1
[276] eval-auc:0.678118 train-auc:1
[277] eval-auc:0.678096 train-auc:1
[278] eval-auc:0.678096 train-auc:1
[279] eval-auc:0.678718 train-auc:1
[280] eval-auc:0.678718 train-auc:1
[281] eval-auc:0.678718 train-auc:1
[282] eval-auc:0.678718 train-auc:1
[283] eval-auc:0.678718 train-auc:1
[284] eval-auc:0.678718 train-auc:1
[285] eval-auc:0.678718 train-auc:1
[286] eval-auc:0.678718 train-auc:1
[287] eval-auc:0.678718 train-auc:1
[288] eval-auc:0.678718 train-auc:1
[289] eval-auc:0.67848 train-auc:1
[290] eval-auc:0.67848 train-auc:1
[291] eval-auc:0.678649 train-auc:1
[292] eval-auc:0.678649 train-auc:1
[293] eval-auc:0.678649 train-auc:1
[294] eval-auc:0.678649 train-auc:1
[295] eval-auc:0.678649 train-auc:1
[296] eval-auc:0.678649 train-auc:1
[297] eval-auc:0.678649 train-auc:1
[298] eval-auc:0.678649 train-auc:1
[299] eval-auc:0.678649 train-auc:1
[300] eval-auc:0.678649 train-auc:1
[301] eval-auc:0.678649 train-auc:1
[302] eval-auc:0.678649 train-auc:1
[303] eval-auc:0.67829 train-auc:1
[304] eval-auc:0.67829 train-auc:1
[305] eval-auc:0.67829 train-auc:1
[306] eval-auc:0.67829 train-auc:1
[307] eval-auc:0.67829 train-auc:1
[308] eval-auc:0.67829 train-auc:1
Score 0.6782897221308579
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8, 'eta': 0.15000000000000002, 'eval_metric': 'auc', 'gamma': 0.8, 'max_depth': 3, 'min_child_weight': 2.0, 'n_estimators': 102.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9, 'tree_method': 'exact'}
[0] eval-auc:0.670001 train-auc:0.693693
[1] eval-auc:0.664128 train-auc:0.707904
[2] eval-auc:0.681544 train-auc:0.718779
[3] eval-auc:0.678702 train-auc:0.726058
[4] eval-auc:0.688638 train-auc:0.735463
[5] eval-auc:0.687645 train-auc:0.732108
[6] eval-auc:0.688025 train-auc:0.735029
[7] eval-auc:0.688197 train-auc:0.732399
[8] eval-auc:0.693254 train-auc:0.740602
[9] eval-auc:0.695608 train-auc:0.742234
[10] eval-auc:0.697994 train-auc:0.74805
[11] eval-auc:0.69706 train-auc:0.751254
[12] eval-auc:0.697622 train-auc:0.751026
[13] eval-auc:0.701239 train-auc:0.752098
[14] eval-auc:0.700301 train-auc:0.752341
[15] eval-auc:0.702208 train-auc:0.756155
[16] eval-auc:0.703077 train-auc:0.76153
[17] eval-auc:0.703447 train-auc:0.767208
[18] eval-auc:0.7026 train-auc:0.769013
[19] eval-auc:0.704551 train-auc:0.775518
[20] eval-auc:0.705755 train-auc:0.77503
[21] eval-auc:0.706748 train-auc:0.77887
[22] eval-auc:0.70726 train-auc:0.781949
[23] eval-auc:0.708101 train-auc:0.783327
[24] eval-auc:0.708017 train-auc:0.787254
[25] eval-auc:0.70899 train-auc:0.78886
[26] eval-auc:0.7081 train-auc:0.79132
[27] eval-auc:0.709054 train-auc:0.794087
[28] eval-auc:0.709453 train-auc:0.793107
[29] eval-auc:0.708295 train-auc:0.793614
[30] eval-auc:0.709403 train-auc:0.79645
[31] eval-auc:0.709236 train-auc:0.797102
[32] eval-auc:0.709311 train-auc:0.799074
[33] eval-auc:0.709074 train-auc:0.801584
[34] eval-auc:0.708395 train-auc:0.803257
[35] eval-auc:0.709139 train-auc:0.807949
[36] eval-auc:0.707507 train-auc:0.810723
[37] eval-auc:0.709405 train-auc:0.813229
[38] eval-auc:0.709809 train-auc:0.815129
[39] eval-auc:0.709619 train-auc:0.817266
[40] eval-auc:0.711041 train-auc:0.818527
[41] eval-auc:0.709883 train-auc:0.821496
[42] eval-auc:0.710189 train-auc:0.821708
[43] eval-auc:0.709552 train-auc:0.823599
[44] eval-auc:0.709806 train-auc:0.823965
[45] eval-auc:0.709376 train-auc:0.82459
[46] eval-auc:0.709518 train-auc:0.827213
[47] eval-auc:0.708399 train-auc:0.827679
[48] eval-auc:0.708703 train-auc:0.827916
[49] eval-auc:0.709055 train-auc:0.828409
[50] eval-auc:0.708885 train-auc:0.828464
[51] eval-auc:0.707576 train-auc:0.829834
[52] eval-auc:0.709585 train-auc:0.831779
[53] eval-auc:0.71047 train-auc:0.835657
[54] eval-auc:0.710298 train-auc:0.835825
[55] eval-auc:0.71034 train-auc:0.836587
[56] eval-auc:0.70941 train-auc:0.837954
[57] eval-auc:0.708752 train-auc:0.838237
[58] eval-auc:0.709072 train-auc:0.839924
[59] eval-auc:0.707817 train-auc:0.841386
[60] eval-auc:0.708344 train-auc:0.842995
[61] eval-auc:0.708673 train-auc:0.843674
[62] eval-auc:0.708889 train-auc:0.844164
[63] eval-auc:0.70846 train-auc:0.844879
[64] eval-auc:0.707901 train-auc:0.846366
[65] eval-auc:0.708029 train-auc:0.846131
[66] eval-auc:0.707794 train-auc:0.84846
[67] eval-auc:0.707438 train-auc:0.848892
[68] eval-auc:0.707863 train-auc:0.850657
[69] eval-auc:0.708181 train-auc:0.851899
[70] eval-auc:0.706284 train-auc:0.853681
[71] eval-auc:0.704651 train-auc:0.855502
[72] eval-auc:0.703984 train-auc:0.856505
[73] eval-auc:0.704959 train-auc:0.856852
[74] eval-auc:0.704303 train-auc:0.858814
[75] eval-auc:0.70551 train-auc:0.860426
[76] eval-auc:0.706526 train-auc:0.86271
[77] eval-auc:0.706192 train-auc:0.86351
[78] eval-auc:0.707159 train-auc:0.865023
[79] eval-auc:0.707714 train-auc:0.865048
[80] eval-auc:0.707644 train-auc:0.867031
[81] eval-auc:0.708999 train-auc:0.867536
[82] eval-auc:0.709768 train-auc:0.868442
[83] eval-auc:0.710381 train-auc:0.86758
[84] eval-auc:0.711143 train-auc:0.868423
[85] eval-auc:0.71101 train-auc:0.870018
[86] eval-auc:0.712029 train-auc:0.870903
[87] eval-auc:0.710919 train-auc:0.871792
[88] eval-auc:0.711147 train-auc:0.873064
[89] eval-auc:0.711543 train-auc:0.874655
[90] eval-auc:0.71123 train-auc:0.875038
[91] eval-auc:0.711144 train-auc:0.875679
[92] eval-auc:0.711105 train-auc:0.876412
[93] eval-auc:0.711138 train-auc:0.877032
[94] eval-auc:0.711295 train-auc:0.877656
[95] eval-auc:0.712143 train-auc:0.878349
[96] eval-auc:0.712 train-auc:0.878851
[97] eval-auc:0.71191 train-auc:0.879529
[98] eval-auc:0.711312 train-auc:0.880912
[99] eval-auc:0.711629 train-auc:0.881336
[100] eval-auc:0.710037 train-auc:0.882024
[101] eval-auc:0.710171 train-auc:0.882746
Score 0.710171277515867
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.75, 'eta': 0.1, 'eval_metric': 'auc', 'gamma': 0.9500000000000001, 'max_depth': 12, 'min_child_weight': 3.0, 'n_estimators': 356.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.632219 train-auc:0.84061
[1] eval-auc:0.650586 train-auc:0.93117
[2] eval-auc:0.631885 train-auc:0.95921
[3] eval-auc:0.640424 train-auc:0.975987
[4] eval-auc:0.658954 train-auc:0.984737
[5] eval-auc:0.654227 train-auc:0.989461
[6] eval-auc:0.660883 train-auc:0.9933
[7] eval-auc:0.654007 train-auc:0.994903
[8] eval-auc:0.662286 train-auc:0.996416
[9] eval-auc:0.66436 train-auc:0.9974
[10] eval-auc:0.665197 train-auc:0.998149
[11] eval-auc:0.660745 train-auc:0.998602
[12] eval-auc:0.659754 train-auc:0.999044
[13] eval-auc:0.659256 train-auc:0.999391
[14] eval-auc:0.658899 train-auc:0.999417
[15] eval-auc:0.659677 train-auc:0.999551
[16] eval-auc:0.658404 train-auc:0.999615
[17] eval-auc:0.664891 train-auc:0.999773
[18] eval-auc:0.660571 train-auc:0.999799
[19] eval-auc:0.669261 train-auc:0.999856
[20] eval-auc:0.670062 train-auc:0.999861
[21] eval-auc:0.671278 train-auc:0.999893
[22] eval-auc:0.672531 train-auc:0.999929
[23] eval-auc:0.678536 train-auc:0.999947
[24] eval-auc:0.683846 train-auc:0.999979
[25] eval-auc:0.682818 train-auc:0.999981
[26] eval-auc:0.683303 train-auc:0.999994
[27] eval-auc:0.687297 train-auc:0.999995
[28] eval-auc:0.686554 train-auc:0.999995
[29] eval-auc:0.688291 train-auc:0.999997
[30] eval-auc:0.686732 train-auc:0.999997
[31] eval-auc:0.685546 train-auc:0.999997
[32] eval-auc:0.684477 train-auc:0.999998
[33] eval-auc:0.685039 train-auc:0.999998
[34] eval-auc:0.684024 train-auc:0.999998
[35] eval-auc:0.683621 train-auc:0.999998
[36] eval-auc:0.682733 train-auc:0.999998
[37] eval-auc:0.682194 train-auc:0.999999
[38] eval-auc:0.682039 train-auc:0.999999
[39] eval-auc:0.681883 train-auc:0.999999
[40] eval-auc:0.682342 train-auc:0.999999
[41] eval-auc:0.681993 train-auc:0.999999
[42] eval-auc:0.68139 train-auc:0.999999
[43] eval-auc:0.68084 train-auc:1
[44] eval-auc:0.684397 train-auc:1
[45] eval-auc:0.684264 train-auc:1
[46] eval-auc:0.686761 train-auc:1
[47] eval-auc:0.685954 train-auc:1
[48] eval-auc:0.685804 train-auc:1
[49] eval-auc:0.68571 train-auc:1
[50] eval-auc:0.684703 train-auc:1
[51] eval-auc:0.685384 train-auc:1
[52] eval-auc:0.685425 train-auc:0.999999
[53] eval-auc:0.685469 train-auc:1
[54] eval-auc:0.684402 train-auc:1
[55] eval-auc:0.684094 train-auc:1
[56] eval-auc:0.683724 train-auc:1
[57] eval-auc:0.68312 train-auc:1
[58] eval-auc:0.682926 train-auc:1
[59] eval-auc:0.685844 train-auc:1
[60] eval-auc:0.687132 train-auc:1
[61] eval-auc:0.687286 train-auc:1
[62] eval-auc:0.687329 train-auc:1
[63] eval-auc:0.689864 train-auc:1
[64] eval-auc:0.689847 train-auc:1
[65] eval-auc:0.690773 train-auc:1
[66] eval-auc:0.690589 train-auc:1
[67] eval-auc:0.689864 train-auc:1
[68] eval-auc:0.689543 train-auc:1
[69] eval-auc:0.689409 train-auc:1
[70] eval-auc:0.690204 train-auc:1
[71] eval-auc:0.690686 train-auc:1
[72] eval-auc:0.691464 train-auc:1
[73] eval-auc:0.691204 train-auc:1
[74] eval-auc:0.691142 train-auc:1
[75] eval-auc:0.691728 train-auc:1
[76] eval-auc:0.690837 train-auc:1
[77] eval-auc:0.690181 train-auc:1
[78] eval-auc:0.690501 train-auc:1
[79] eval-auc:0.690869 train-auc:1
[80] eval-auc:0.692549 train-auc:1
[81] eval-auc:0.692664 train-auc:1
[82] eval-auc:0.692573 train-auc:1
[83] eval-auc:0.692 train-auc:1
[84] eval-auc:0.692879 train-auc:1
[85] eval-auc:0.692629 train-auc:1
[86] eval-auc:0.692744 train-auc:1
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[133] eval-auc:0.690598 train-auc:1
[134] eval-auc:0.690551 train-auc:1
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[137] eval-auc:0.691527 train-auc:1
[138] eval-auc:0.691436 train-auc:1
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[140] eval-auc:0.69207 train-auc:1
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[142] eval-auc:0.692102 train-auc:1
[143] eval-auc:0.691784 train-auc:1
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[150] eval-auc:0.691203 train-auc:1
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[155] eval-auc:0.690986 train-auc:1
[156] eval-auc:0.691603 train-auc:1
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[159] eval-auc:0.692744 train-auc:1
[160] eval-auc:0.692469 train-auc:1
[161] eval-auc:0.692568 train-auc:1
[162] eval-auc:0.692527 train-auc:1
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[165] eval-auc:0.692791 train-auc:1
[166] eval-auc:0.692302 train-auc:1
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[168] eval-auc:0.692526 train-auc:1
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[171] eval-auc:0.693012 train-auc:1
[172] eval-auc:0.692973 train-auc:1
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[175] eval-auc:0.692533 train-auc:1
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[180] eval-auc:0.69245 train-auc:1
[181] eval-auc:0.692705 train-auc:1
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[183] eval-auc:0.692631 train-auc:1
[184] eval-auc:0.69259 train-auc:1
[185] eval-auc:0.692669 train-auc:1
[186] eval-auc:0.692526 train-auc:1
[187] eval-auc:0.692431 train-auc:1
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[190] eval-auc:0.692742 train-auc:1
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[192] eval-auc:0.692829 train-auc:1
[193] eval-auc:0.693065 train-auc:1
[194] eval-auc:0.693065 train-auc:1
[195] eval-auc:0.692894 train-auc:1
[196] eval-auc:0.692853 train-auc:1
[197] eval-auc:0.692603 train-auc:1
[198] eval-auc:0.692725 train-auc:1
[199] eval-auc:0.692725 train-auc:1
[200] eval-auc:0.69211 train-auc:1
[201] eval-auc:0.692038 train-auc:1
[202] eval-auc:0.692026 train-auc:1
[203] eval-auc:0.692094 train-auc:1
[204] eval-auc:0.692086 train-auc:1
[205] eval-auc:0.691923 train-auc:1
[206] eval-auc:0.691474 train-auc:1
[207] eval-auc:0.691446 train-auc:1
[208] eval-auc:0.691324 train-auc:1
[209] eval-auc:0.691918 train-auc:1
[210] eval-auc:0.691905 train-auc:1
[211] eval-auc:0.69199 train-auc:1
[212] eval-auc:0.691921 train-auc:1
[213] eval-auc:0.691962 train-auc:1
[214] eval-auc:0.691871 train-auc:1
[215] eval-auc:0.691825 train-auc:1
[216] eval-auc:0.692028 train-auc:1
[217] eval-auc:0.692141 train-auc:1
[218] eval-auc:0.692067 train-auc:1
[219] eval-auc:0.692501 train-auc:1
[220] eval-auc:0.692258 train-auc:1
[221] eval-auc:0.692153 train-auc:1
[222] eval-auc:0.692634 train-auc:1
[223] eval-auc:0.692514 train-auc:1
[224] eval-auc:0.69273 train-auc:1
[225] eval-auc:0.69278 train-auc:1
[226] eval-auc:0.693106 train-auc:1
[227] eval-auc:0.692871 train-auc:1
[228] eval-auc:0.693146 train-auc:1
[229] eval-auc:0.693085 train-auc:1
[230] eval-auc:0.693178 train-auc:1
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[233] eval-auc:0.692858 train-auc:1
[234] eval-auc:0.692975 train-auc:1
[235] eval-auc:0.693164 train-auc:1
[236] eval-auc:0.692739 train-auc:1
[237] eval-auc:0.692747 train-auc:1
[238] eval-auc:0.692754 train-auc:1
[239] eval-auc:0.692573 train-auc:1
[240] eval-auc:0.69264 train-auc:1
[241] eval-auc:0.692501 train-auc:1
[242] eval-auc:0.692476 train-auc:1
[243] eval-auc:0.692498 train-auc:1
[244] eval-auc:0.692477 train-auc:1
[245] eval-auc:0.692203 train-auc:1
[246] eval-auc:0.692192 train-auc:1
[247] eval-auc:0.691836 train-auc:1
[248] eval-auc:0.691714 train-auc:1
[249] eval-auc:0.691932 train-auc:1
[250] eval-auc:0.691953 train-auc:1
[251] eval-auc:0.691678 train-auc:1
[252] eval-auc:0.691658 train-auc:1
[253] eval-auc:0.691647 train-auc:1
[254] eval-auc:0.691848 train-auc:1
[255] eval-auc:0.692259 train-auc:1
[256] eval-auc:0.692335 train-auc:1
[257] eval-auc:0.69223 train-auc:1
[258] eval-auc:0.692264 train-auc:1
[259] eval-auc:0.692174 train-auc:1
[260] eval-auc:0.692174 train-auc:1
[261] eval-auc:0.692174 train-auc:1
[262] eval-auc:0.692203 train-auc:1
[263] eval-auc:0.691965 train-auc:1
[264] eval-auc:0.692125 train-auc:1
[265] eval-auc:0.691892 train-auc:1
[266] eval-auc:0.691871 train-auc:1
[267] eval-auc:0.691949 train-auc:1
[268] eval-auc:0.691781 train-auc:1
[269] eval-auc:0.691866 train-auc:1
[270] eval-auc:0.692268 train-auc:1
[271] eval-auc:0.692268 train-auc:1
[272] eval-auc:0.692177 train-auc:1
[273] eval-auc:0.692119 train-auc:1
[274] eval-auc:0.691799 train-auc:1
[275] eval-auc:0.691799 train-auc:1
[276] eval-auc:0.691743 train-auc:1
[277] eval-auc:0.691432 train-auc:1
[278] eval-auc:0.691522 train-auc:1
[279] eval-auc:0.691402 train-auc:1
[280] eval-auc:0.691408 train-auc:1
[281] eval-auc:0.691294 train-auc:1
[282] eval-auc:0.691158 train-auc:1
[283] eval-auc:0.691154 train-auc:1
[284] eval-auc:0.691154 train-auc:1
[285] eval-auc:0.691154 train-auc:1
[286] eval-auc:0.691154 train-auc:1
[287] eval-auc:0.691206 train-auc:1
[288] eval-auc:0.691292 train-auc:1
[289] eval-auc:0.69134 train-auc:1
[290] eval-auc:0.691496 train-auc:1
[291] eval-auc:0.69156 train-auc:1
[292] eval-auc:0.691524 train-auc:1
[293] eval-auc:0.691445 train-auc:1
[294] eval-auc:0.691181 train-auc:1
[295] eval-auc:0.691002 train-auc:1
[296] eval-auc:0.691059 train-auc:1
[297] eval-auc:0.691163 train-auc:1
[298] eval-auc:0.691187 train-auc:1
[299] eval-auc:0.691306 train-auc:1
[300] eval-auc:0.691486 train-auc:1
[301] eval-auc:0.691548 train-auc:1
[302] eval-auc:0.691347 train-auc:1
[303] eval-auc:0.691487 train-auc:1
[304] eval-auc:0.691563 train-auc:1
[305] eval-auc:0.69148 train-auc:1
[306] eval-auc:0.691516 train-auc:1
[307] eval-auc:0.69128 train-auc:1
[308] eval-auc:0.691402 train-auc:1
[309] eval-auc:0.691451 train-auc:1
[310] eval-auc:0.691251 train-auc:1
[311] eval-auc:0.69123 train-auc:1
[312] eval-auc:0.69123 train-auc:1
[313] eval-auc:0.691221 train-auc:1
[314] eval-auc:0.691221 train-auc:1
[315] eval-auc:0.691314 train-auc:1
[316] eval-auc:0.691344 train-auc:1
[317] eval-auc:0.691344 train-auc:1
[318] eval-auc:0.691344 train-auc:1
[319] eval-auc:0.691454 train-auc:1
[320] eval-auc:0.691547 train-auc:1
[321] eval-auc:0.691547 train-auc:1
[322] eval-auc:0.691429 train-auc:1
[323] eval-auc:0.691429 train-auc:1
[324] eval-auc:0.691428 train-auc:1
[325] eval-auc:0.69144 train-auc:1
[326] eval-auc:0.691598 train-auc:1
[327] eval-auc:0.691681 train-auc:1
[328] eval-auc:0.691767 train-auc:1
[329] eval-auc:0.691818 train-auc:1
[330] eval-auc:0.691921 train-auc:1
[331] eval-auc:0.691886 train-auc:1
[332] eval-auc:0.691711 train-auc:1
[333] eval-auc:0.691711 train-auc:1
[334] eval-auc:0.691682 train-auc:1
[335] eval-auc:0.691682 train-auc:1
[336] eval-auc:0.691682 train-auc:1
[337] eval-auc:0.691711 train-auc:1
[338] eval-auc:0.691647 train-auc:1
[339] eval-auc:0.691618 train-auc:1
[340] eval-auc:0.691775 train-auc:1
[341] eval-auc:0.691775 train-auc:1
[342] eval-auc:0.691713 train-auc:1
[343] eval-auc:0.691819 train-auc:1
[344] eval-auc:0.691819 train-auc:1
[345] eval-auc:0.691819 train-auc:1
[346] eval-auc:0.691757 train-auc:1
[347] eval-auc:0.691923 train-auc:1
[348] eval-auc:0.691696 train-auc:1
[349] eval-auc:0.691837 train-auc:1
[350] eval-auc:0.691798 train-auc:1
[351] eval-auc:0.691837 train-auc:1
[352] eval-auc:0.691728 train-auc:1
[353] eval-auc:0.692932 train-auc:1
[354] eval-auc:0.692932 train-auc:1
[355] eval-auc:0.693115 train-auc:1
Score 0.6931150945924546
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9500000000000001, 'eta': 0.45, 'eval_metric': 'auc', 'gamma': 0.9, 'max_depth': 6, 'min_child_weight': 1.0, 'n_estimators': 123.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9, 'tree_method': 'exact'}
[0] eval-auc:0.692561 train-auc:0.769337
[1] eval-auc:0.690319 train-auc:0.80859
[2] eval-auc:0.71288 train-auc:0.845308
[3] eval-auc:0.713871 train-auc:0.861786
[4] eval-auc:0.712815 train-auc:0.872983
[5] eval-auc:0.712664 train-auc:0.880484
[6] eval-auc:0.711487 train-auc:0.886233
[7] eval-auc:0.709681 train-auc:0.896745
[8] eval-auc:0.712206 train-auc:0.911064
[9] eval-auc:0.713135 train-auc:0.920571
[10] eval-auc:0.709939 train-auc:0.927456
[11] eval-auc:0.70222 train-auc:0.937595
[12] eval-auc:0.700749 train-auc:0.943805
[13] eval-auc:0.703078 train-auc:0.949481
[14] eval-auc:0.694374 train-auc:0.954923
[15] eval-auc:0.694243 train-auc:0.958057
[16] eval-auc:0.692655 train-auc:0.962014
[17] eval-auc:0.695015 train-auc:0.965829
[18] eval-auc:0.693074 train-auc:0.968164
[19] eval-auc:0.689126 train-auc:0.971916
[20] eval-auc:0.687947 train-auc:0.973362
[21] eval-auc:0.685929 train-auc:0.975707
[22] eval-auc:0.684056 train-auc:0.977636
[23] eval-auc:0.685083 train-auc:0.979401
[24] eval-auc:0.68375 train-auc:0.979729
[25] eval-auc:0.683438 train-auc:0.980628
[26] eval-auc:0.680842 train-auc:0.982349
[27] eval-auc:0.681725 train-auc:0.983964
[28] eval-auc:0.678558 train-auc:0.985091
[29] eval-auc:0.678846 train-auc:0.986627
[30] eval-auc:0.680213 train-auc:0.987147
[31] eval-auc:0.679273 train-auc:0.988726
[32] eval-auc:0.679456 train-auc:0.990245
[33] eval-auc:0.678049 train-auc:0.991143
[34] eval-auc:0.676738 train-auc:0.991597
[35] eval-auc:0.677091 train-auc:0.992795
[36] eval-auc:0.676861 train-auc:0.993183
[37] eval-auc:0.677412 train-auc:0.993741
[38] eval-auc:0.677014 train-auc:0.994627
[39] eval-auc:0.68224 train-auc:0.995475
[40] eval-auc:0.683598 train-auc:0.996337
[41] eval-auc:0.685503 train-auc:0.99681
[42] eval-auc:0.684321 train-auc:0.997049
[43] eval-auc:0.684076 train-auc:0.997147
[44] eval-auc:0.684123 train-auc:0.997308
[45] eval-auc:0.682859 train-auc:0.997471
[46] eval-auc:0.682966 train-auc:0.997794
[47] eval-auc:0.682732 train-auc:0.997897
[48] eval-auc:0.68227 train-auc:0.998147
[49] eval-auc:0.681361 train-auc:0.998423
[50] eval-auc:0.68142 train-auc:0.998616
[51] eval-auc:0.681315 train-auc:0.998793
[52] eval-auc:0.680936 train-auc:0.998806
[53] eval-auc:0.68107 train-auc:0.998967
[54] eval-auc:0.679409 train-auc:0.999123
[55] eval-auc:0.680758 train-auc:0.999184
[56] eval-auc:0.681346 train-auc:0.99929
[57] eval-auc:0.681597 train-auc:0.999308
[58] eval-auc:0.681081 train-auc:0.999504
[59] eval-auc:0.68086 train-auc:0.999497
[60] eval-auc:0.680225 train-auc:0.999621
[61] eval-auc:0.680725 train-auc:0.999628
[62] eval-auc:0.680569 train-auc:0.999652
[63] eval-auc:0.679433 train-auc:0.999649
[64] eval-auc:0.678614 train-auc:0.999676
[65] eval-auc:0.678031 train-auc:0.999759
[66] eval-auc:0.676071 train-auc:0.999757
[67] eval-auc:0.674733 train-auc:0.999825
[68] eval-auc:0.67256 train-auc:0.999852
[69] eval-auc:0.670737 train-auc:0.999869
[70] eval-auc:0.672464 train-auc:0.999882
[71] eval-auc:0.671891 train-auc:0.999882
[72] eval-auc:0.672488 train-auc:0.999885
[73] eval-auc:0.672899 train-auc:0.999956
[74] eval-auc:0.674026 train-auc:0.99996
[75] eval-auc:0.676309 train-auc:0.999966
[76] eval-auc:0.674137 train-auc:0.999977
[77] eval-auc:0.672605 train-auc:0.999979
[78] eval-auc:0.673757 train-auc:0.999986
[79] eval-auc:0.673085 train-auc:0.999988
[80] eval-auc:0.673554 train-auc:0.999987
[81] eval-auc:0.673556 train-auc:0.999991
[82] eval-auc:0.674226 train-auc:0.999991
[83] eval-auc:0.674349 train-auc:0.999977
[84] eval-auc:0.674343 train-auc:0.999977
[85] eval-auc:0.675923 train-auc:0.999989
[86] eval-auc:0.675696 train-auc:0.999989
[87] eval-auc:0.67621 train-auc:0.99999
[88] eval-auc:0.676596 train-auc:0.999992
[89] eval-auc:0.676467 train-auc:0.999992
[90] eval-auc:0.676606 train-auc:0.999992
[91] eval-auc:0.675503 train-auc:0.999992
[92] eval-auc:0.676109 train-auc:0.999995
[93] eval-auc:0.675745 train-auc:0.999994
[94] eval-auc:0.675029 train-auc:0.999997
[95] eval-auc:0.676248 train-auc:0.999998
[96] eval-auc:0.675503 train-auc:0.999999
[97] eval-auc:0.676861 train-auc:0.999999
[98] eval-auc:0.677126 train-auc:0.999999
[99] eval-auc:0.677308 train-auc:0.999999
[100] eval-auc:0.677295 train-auc:0.999999
[101] eval-auc:0.676685 train-auc:1
[102] eval-auc:0.676228 train-auc:1
[103] eval-auc:0.677397 train-auc:1
[104] eval-auc:0.67938 train-auc:1
[105] eval-auc:0.67934 train-auc:1
[106] eval-auc:0.679273 train-auc:1
[107] eval-auc:0.678838 train-auc:1
[108] eval-auc:0.678134 train-auc:1
[109] eval-auc:0.678389 train-auc:1
[110] eval-auc:0.680549 train-auc:1
[111] eval-auc:0.680053 train-auc:1
[112] eval-auc:0.679135 train-auc:1
[113] eval-auc:0.678663 train-auc:1
[114] eval-auc:0.678718 train-auc:1
[115] eval-auc:0.678718 train-auc:1
[116] eval-auc:0.677926 train-auc:1
[117] eval-auc:0.678407 train-auc:1
[118] eval-auc:0.6782 train-auc:1
[119] eval-auc:0.679386 train-auc:1
[120] eval-auc:0.680062 train-auc:1
[121] eval-auc:0.679878 train-auc:1
[122] eval-auc:0.678952 train-auc:1
Score 0.678952112950578
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9, 'eta': 0.125, 'eval_metric': 'auc', 'gamma': 1.0, 'max_depth': 13, 'min_child_weight': 2.0, 'n_estimators': 248.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.8500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.684837 train-auc:0.87065
[1] eval-auc:0.665994 train-auc:0.930039
[2] eval-auc:0.674347 train-auc:0.964086
[3] eval-auc:0.68904 train-auc:0.980688
[4] eval-auc:0.692508 train-auc:0.990291
[5] eval-auc:0.684608 train-auc:0.994244
[6] eval-auc:0.684735 train-auc:0.995198
[7] eval-auc:0.690572 train-auc:0.996554
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[15] eval-auc:0.682165 train-auc:0.999907
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[23] eval-auc:0.687463 train-auc:0.999994
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[27] eval-auc:0.689333 train-auc:0.999999
[28] eval-auc:0.690569 train-auc:0.999998
[29] eval-auc:0.690179 train-auc:0.999999
[30] eval-auc:0.690414 train-auc:0.999999
[31] eval-auc:0.690092 train-auc:1
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[33] eval-auc:0.690155 train-auc:0.999999
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[36] eval-auc:0.690699 train-auc:0.999999
[37] eval-auc:0.690176 train-auc:0.999999
[38] eval-auc:0.688728 train-auc:1
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[135] eval-auc:0.693511 train-auc:1
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[137] eval-auc:0.693299 train-auc:1
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[139] eval-auc:0.69301 train-auc:1
[140] eval-auc:0.693025 train-auc:1
[141] eval-auc:0.693188 train-auc:1
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[143] eval-auc:0.693223 train-auc:1
[144] eval-auc:0.693494 train-auc:1
[145] eval-auc:0.693313 train-auc:1
[146] eval-auc:0.693234 train-auc:1
[147] eval-auc:0.693234 train-auc:1
[148] eval-auc:0.693168 train-auc:1
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[150] eval-auc:0.692283 train-auc:1
[151] eval-auc:0.692308 train-auc:1
[152] eval-auc:0.692456 train-auc:1
[153] eval-auc:0.692876 train-auc:1
[154] eval-auc:0.693304 train-auc:1
[155] eval-auc:0.693595 train-auc:1
[156] eval-auc:0.693607 train-auc:1
[157] eval-auc:0.693867 train-auc:1
[158] eval-auc:0.694175 train-auc:1
[159] eval-auc:0.693762 train-auc:1
[160] eval-auc:0.693587 train-auc:1
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[162] eval-auc:0.693581 train-auc:1
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[170] eval-auc:0.69387 train-auc:1
[171] eval-auc:0.693794 train-auc:1
[172] eval-auc:0.69393 train-auc:1
[173] eval-auc:0.693985 train-auc:1
[174] eval-auc:0.69356 train-auc:1
[175] eval-auc:0.69356 train-auc:1
[176] eval-auc:0.693879 train-auc:1
[177] eval-auc:0.694297 train-auc:1
[178] eval-auc:0.693942 train-auc:1
[179] eval-auc:0.694181 train-auc:1
[180] eval-auc:0.694181 train-auc:1
[181] eval-auc:0.694277 train-auc:1
[182] eval-auc:0.694542 train-auc:1
[183] eval-auc:0.694393 train-auc:1
[184] eval-auc:0.693857 train-auc:1
[185] eval-auc:0.69363 train-auc:1
[186] eval-auc:0.694349 train-auc:1
[187] eval-auc:0.694208 train-auc:1
[188] eval-auc:0.694429 train-auc:1
[189] eval-auc:0.694522 train-auc:1
[190] eval-auc:0.694647 train-auc:1
[191] eval-auc:0.694747 train-auc:1
[192] eval-auc:0.694747 train-auc:1
[193] eval-auc:0.694518 train-auc:1
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[195] eval-auc:0.694642 train-auc:1
[196] eval-auc:0.694452 train-auc:1
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[198] eval-auc:0.694839 train-auc:1
[199] eval-auc:0.694834 train-auc:1
[200] eval-auc:0.694546 train-auc:1
[201] eval-auc:0.694297 train-auc:1
[202] eval-auc:0.694297 train-auc:1
[203] eval-auc:0.694073 train-auc:1
[204] eval-auc:0.694007 train-auc:1
[205] eval-auc:0.69379 train-auc:1
[206] eval-auc:0.69373 train-auc:1
[207] eval-auc:0.69372 train-auc:1
[208] eval-auc:0.693803 train-auc:1
[209] eval-auc:0.693997 train-auc:1
[210] eval-auc:0.693934 train-auc:1
[211] eval-auc:0.693583 train-auc:1
[212] eval-auc:0.693541 train-auc:1
[213] eval-auc:0.693541 train-auc:1
[214] eval-auc:0.693704 train-auc:1
[215] eval-auc:0.694272 train-auc:1
[216] eval-auc:0.694318 train-auc:1
[217] eval-auc:0.694164 train-auc:1
[218] eval-auc:0.694274 train-auc:1
[219] eval-auc:0.694387 train-auc:1
[220] eval-auc:0.69444 train-auc:1
[221] eval-auc:0.694355 train-auc:1
[222] eval-auc:0.694403 train-auc:1
[223] eval-auc:0.694361 train-auc:1
[224] eval-auc:0.694907 train-auc:1
[225] eval-auc:0.694955 train-auc:1
[226] eval-auc:0.694955 train-auc:1
[227] eval-auc:0.694976 train-auc:1
[228] eval-auc:0.694976 train-auc:1
[229] eval-auc:0.695075 train-auc:1
[230] eval-auc:0.695334 train-auc:1
[231] eval-auc:0.695334 train-auc:1
[232] eval-auc:0.695337 train-auc:1
[233] eval-auc:0.695061 train-auc:1
[234] eval-auc:0.695119 train-auc:1
[235] eval-auc:0.695119 train-auc:1
[236] eval-auc:0.695058 train-auc:1
[237] eval-auc:0.69565 train-auc:1
[238] eval-auc:0.695798 train-auc:1
[239] eval-auc:0.695631 train-auc:1
[240] eval-auc:0.695622 train-auc:1
[241] eval-auc:0.695478 train-auc:1
[242] eval-auc:0.695437 train-auc:1
[243] eval-auc:0.695337 train-auc:1
[244] eval-auc:0.695293 train-auc:1
[245] eval-auc:0.695293 train-auc:1
[246] eval-auc:0.695293 train-auc:1
[247] eval-auc:0.695516 train-auc:1
Score 0.6955164516561294
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9500000000000001, 'eta': 0.05, 'eval_metric': 'auc', 'gamma': 0.9500000000000001, 'max_depth': 3, 'min_child_weight': 1.0, 'n_estimators': 276.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.702485 train-auc:0.723761
[1] eval-auc:0.706159 train-auc:0.716701
[2] eval-auc:0.708336 train-auc:0.727425
[3] eval-auc:0.708123 train-auc:0.720064
[4] eval-auc:0.707315 train-auc:0.723302
[5] eval-auc:0.707376 train-auc:0.727723
[6] eval-auc:0.704377 train-auc:0.73111
[7] eval-auc:0.705503 train-auc:0.735527
[8] eval-auc:0.696649 train-auc:0.738038
[9] eval-auc:0.698891 train-auc:0.739742
[10] eval-auc:0.699416 train-auc:0.739733
[11] eval-auc:0.700736 train-auc:0.741658
[12] eval-auc:0.702093 train-auc:0.744262
[13] eval-auc:0.701434 train-auc:0.746145
[14] eval-auc:0.702721 train-auc:0.747184
[15] eval-auc:0.703642 train-auc:0.749485
[16] eval-auc:0.700366 train-auc:0.749226
[17] eval-auc:0.702364 train-auc:0.751891
[18] eval-auc:0.702223 train-auc:0.752176
[19] eval-auc:0.701859 train-auc:0.750073
[20] eval-auc:0.701958 train-auc:0.752516
[21] eval-auc:0.701477 train-auc:0.75388
[22] eval-auc:0.701171 train-auc:0.75657
[23] eval-auc:0.701579 train-auc:0.758865
[24] eval-auc:0.700498 train-auc:0.758951
[25] eval-auc:0.700541 train-auc:0.760832
[26] eval-auc:0.700711 train-auc:0.761407
[27] eval-auc:0.702282 train-auc:0.763368
[28] eval-auc:0.703599 train-auc:0.763823
[29] eval-auc:0.703893 train-auc:0.764524
[30] eval-auc:0.703908 train-auc:0.765742
[31] eval-auc:0.703053 train-auc:0.765858
[32] eval-auc:0.704309 train-auc:0.765513
[33] eval-auc:0.705017 train-auc:0.765447
[34] eval-auc:0.705889 train-auc:0.766164
[35] eval-auc:0.70601 train-auc:0.767432
[36] eval-auc:0.706348 train-auc:0.767811
[37] eval-auc:0.706783 train-auc:0.769058
[38] eval-auc:0.708346 train-auc:0.770332
[39] eval-auc:0.707788 train-auc:0.772946
[40] eval-auc:0.708175 train-auc:0.773616
[41] eval-auc:0.708612 train-auc:0.774799
[42] eval-auc:0.708404 train-auc:0.776321
[43] eval-auc:0.708314 train-auc:0.77649
[44] eval-auc:0.706608 train-auc:0.778365
[45] eval-auc:0.707036 train-auc:0.779124
[46] eval-auc:0.706847 train-auc:0.780818
[47] eval-auc:0.706153 train-auc:0.782927
[48] eval-auc:0.706626 train-auc:0.784293
[49] eval-auc:0.70602 train-auc:0.784819
[50] eval-auc:0.70533 train-auc:0.784804
[51] eval-auc:0.705345 train-auc:0.785892
[52] eval-auc:0.705886 train-auc:0.786426
[53] eval-auc:0.706773 train-auc:0.78723
[54] eval-auc:0.707082 train-auc:0.788077
[55] eval-auc:0.707473 train-auc:0.78893
[56] eval-auc:0.70786 train-auc:0.789056
[57] eval-auc:0.708524 train-auc:0.790134
[58] eval-auc:0.708504 train-auc:0.790505
[59] eval-auc:0.70869 train-auc:0.79082
[60] eval-auc:0.709389 train-auc:0.791335
[61] eval-auc:0.70963 train-auc:0.79141
[62] eval-auc:0.710072 train-auc:0.792859
[63] eval-auc:0.710417 train-auc:0.793254
[64] eval-auc:0.71056 train-auc:0.792673
[65] eval-auc:0.711147 train-auc:0.793482
[66] eval-auc:0.711056 train-auc:0.793764
[67] eval-auc:0.711131 train-auc:0.794706
[68] eval-auc:0.710904 train-auc:0.795064
[69] eval-auc:0.710927 train-auc:0.795298
[70] eval-auc:0.711307 train-auc:0.795513
[71] eval-auc:0.711376 train-auc:0.795808
[72] eval-auc:0.711428 train-auc:0.795864
[73] eval-auc:0.711181 train-auc:0.795736
[74] eval-auc:0.711496 train-auc:0.795858
[75] eval-auc:0.712044 train-auc:0.796953
[76] eval-auc:0.712286 train-auc:0.797648
[77] eval-auc:0.711992 train-auc:0.798148
[78] eval-auc:0.712015 train-auc:0.798031
[79] eval-auc:0.712118 train-auc:0.798093
[80] eval-auc:0.711948 train-auc:0.79859
[81] eval-auc:0.71224 train-auc:0.799404
[82] eval-auc:0.711833 train-auc:0.80015
[83] eval-auc:0.711835 train-auc:0.800835
[84] eval-auc:0.711772 train-auc:0.800724
[85] eval-auc:0.711549 train-auc:0.8011
[86] eval-auc:0.711694 train-auc:0.801203
[87] eval-auc:0.711708 train-auc:0.801217
[88] eval-auc:0.712705 train-auc:0.803987
[89] eval-auc:0.713164 train-auc:0.804514
[90] eval-auc:0.713096 train-auc:0.804502
[91] eval-auc:0.71309 train-auc:0.805115
[92] eval-auc:0.713116 train-auc:0.804987
[93] eval-auc:0.713052 train-auc:0.805949
[94] eval-auc:0.712902 train-auc:0.806293
[95] eval-auc:0.713259 train-auc:0.807073
[96] eval-auc:0.713333 train-auc:0.809172
[97] eval-auc:0.7136 train-auc:0.809313
[98] eval-auc:0.713326 train-auc:0.810449
[99] eval-auc:0.713844 train-auc:0.810526
[100] eval-auc:0.713558 train-auc:0.810755
[101] eval-auc:0.713479 train-auc:0.810646
[102] eval-auc:0.714376 train-auc:0.8119
[103] eval-auc:0.71408 train-auc:0.812194
[104] eval-auc:0.713415 train-auc:0.813092
[105] eval-auc:0.713358 train-auc:0.812915
[106] eval-auc:0.713346 train-auc:0.814569
[107] eval-auc:0.713474 train-auc:0.814713
[108] eval-auc:0.713617 train-auc:0.814842
[109] eval-auc:0.713383 train-auc:0.816441
[110] eval-auc:0.712608 train-auc:0.817611
[111] eval-auc:0.712784 train-auc:0.818548
[112] eval-auc:0.712588 train-auc:0.818802
[113] eval-auc:0.712375 train-auc:0.819546
[114] eval-auc:0.711665 train-auc:0.820279
[115] eval-auc:0.711493 train-auc:0.820669
[116] eval-auc:0.711032 train-auc:0.821511
[117] eval-auc:0.71107 train-auc:0.821895
[118] eval-auc:0.710522 train-auc:0.822725
[119] eval-auc:0.711344 train-auc:0.823546
[120] eval-auc:0.711269 train-auc:0.824203
[121] eval-auc:0.710912 train-auc:0.825555
[122] eval-auc:0.710828 train-auc:0.82589
[123] eval-auc:0.711441 train-auc:0.82631
[124] eval-auc:0.71097 train-auc:0.827165
[125] eval-auc:0.711258 train-auc:0.827591
[126] eval-auc:0.711869 train-auc:0.828786
[127] eval-auc:0.711275 train-auc:0.829737
[128] eval-auc:0.711254 train-auc:0.83018
[129] eval-auc:0.711903 train-auc:0.831728
[130] eval-auc:0.711868 train-auc:0.831611
[131] eval-auc:0.711927 train-auc:0.832565
[132] eval-auc:0.712197 train-auc:0.833924
[133] eval-auc:0.711839 train-auc:0.834849
[134] eval-auc:0.711421 train-auc:0.835646
[135] eval-auc:0.711396 train-auc:0.835505
[136] eval-auc:0.711438 train-auc:0.835774
[137] eval-auc:0.711449 train-auc:0.835836
[138] eval-auc:0.71114 train-auc:0.836642
[139] eval-auc:0.712299 train-auc:0.8376
[140] eval-auc:0.712798 train-auc:0.83832
[141] eval-auc:0.712981 train-auc:0.839302
[142] eval-auc:0.712302 train-auc:0.83991
[143] eval-auc:0.711776 train-auc:0.84059
[144] eval-auc:0.711313 train-auc:0.841149
[145] eval-auc:0.71179 train-auc:0.841785
[146] eval-auc:0.711458 train-auc:0.842409
[147] eval-auc:0.711283 train-auc:0.842641
[148] eval-auc:0.711647 train-auc:0.843285
[149] eval-auc:0.712218 train-auc:0.844084
[150] eval-auc:0.712413 train-auc:0.844309
[151] eval-auc:0.711942 train-auc:0.844678
[152] eval-auc:0.711613 train-auc:0.8453
[153] eval-auc:0.711659 train-auc:0.845316
[154] eval-auc:0.71179 train-auc:0.846014
[155] eval-auc:0.711293 train-auc:0.846433
[156] eval-auc:0.711881 train-auc:0.847045
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[158] eval-auc:0.71139 train-auc:0.847588
[159] eval-auc:0.711399 train-auc:0.847624
[160] eval-auc:0.711169 train-auc:0.848017
[161] eval-auc:0.711278 train-auc:0.848627
[162] eval-auc:0.712056 train-auc:0.849719
[163] eval-auc:0.712206 train-auc:0.851102
[164] eval-auc:0.713151 train-auc:0.851722
[165] eval-auc:0.713498 train-auc:0.852146
[166] eval-auc:0.713351 train-auc:0.852764
[167] eval-auc:0.712921 train-auc:0.853402
[168] eval-auc:0.712629 train-auc:0.853901
[169] eval-auc:0.712193 train-auc:0.854337
[170] eval-auc:0.712169 train-auc:0.854216
[171] eval-auc:0.712472 train-auc:0.855105
[172] eval-auc:0.712474 train-auc:0.855137
[173] eval-auc:0.712726 train-auc:0.856036
[174] eval-auc:0.712557 train-auc:0.85639
[175] eval-auc:0.712972 train-auc:0.85698
[176] eval-auc:0.713179 train-auc:0.858053
[177] eval-auc:0.712959 train-auc:0.858397
[178] eval-auc:0.712905 train-auc:0.859064
[179] eval-auc:0.713192 train-auc:0.860011
[180] eval-auc:0.713369 train-auc:0.860265
[181] eval-auc:0.713246 train-auc:0.860619
[182] eval-auc:0.712793 train-auc:0.860796
[183] eval-auc:0.71267 train-auc:0.861193
[184] eval-auc:0.712221 train-auc:0.861351
[185] eval-auc:0.712702 train-auc:0.861763
[186] eval-auc:0.713036 train-auc:0.862231
[187] eval-auc:0.712865 train-auc:0.86255
[188] eval-auc:0.713396 train-auc:0.863106
[189] eval-auc:0.713884 train-auc:0.863866
[190] eval-auc:0.714293 train-auc:0.864264
[191] eval-auc:0.714082 train-auc:0.864605
[192] eval-auc:0.714095 train-auc:0.864493
[193] eval-auc:0.713855 train-auc:0.8648
[194] eval-auc:0.714403 train-auc:0.865292
[195] eval-auc:0.714755 train-auc:0.865813
[196] eval-auc:0.715009 train-auc:0.866475
[197] eval-auc:0.714639 train-auc:0.866886
[198] eval-auc:0.714647 train-auc:0.866901
[199] eval-auc:0.714467 train-auc:0.867168
[200] eval-auc:0.71422 train-auc:0.867663
[201] eval-auc:0.714094 train-auc:0.867831
[202] eval-auc:0.713993 train-auc:0.868069
[203] eval-auc:0.714184 train-auc:0.868238
[204] eval-auc:0.714194 train-auc:0.868253
[205] eval-auc:0.713865 train-auc:0.868592
[206] eval-auc:0.714168 train-auc:0.868968
[207] eval-auc:0.714172 train-auc:0.868979
[208] eval-auc:0.714016 train-auc:0.869129
[209] eval-auc:0.714522 train-auc:0.869474
[210] eval-auc:0.714391 train-auc:0.869616
[211] eval-auc:0.714398 train-auc:0.869624
[212] eval-auc:0.713925 train-auc:0.869766
[213] eval-auc:0.713626 train-auc:0.870079
[214] eval-auc:0.713637 train-auc:0.870345
[215] eval-auc:0.713442 train-auc:0.870866
[216] eval-auc:0.713416 train-auc:0.871122
[217] eval-auc:0.713996 train-auc:0.871722
[218] eval-auc:0.714149 train-auc:0.871942
[219] eval-auc:0.713843 train-auc:0.87217
[220] eval-auc:0.713537 train-auc:0.872352
[221] eval-auc:0.713476 train-auc:0.872451
[222] eval-auc:0.713482 train-auc:0.872458
[223] eval-auc:0.713433 train-auc:0.872699
[224] eval-auc:0.713445 train-auc:0.873123
[225] eval-auc:0.713517 train-auc:0.873959
[226] eval-auc:0.713336 train-auc:0.874038
[227] eval-auc:0.713818 train-auc:0.874398
[228] eval-auc:0.71414 train-auc:0.875122
[229] eval-auc:0.714173 train-auc:0.875576
[230] eval-auc:0.713873 train-auc:0.875939
[231] eval-auc:0.714106 train-auc:0.876104
[232] eval-auc:0.71436 train-auc:0.876362
[233] eval-auc:0.714771 train-auc:0.87666
[234] eval-auc:0.714557 train-auc:0.877239
[235] eval-auc:0.714624 train-auc:0.877465
[236] eval-auc:0.714564 train-auc:0.877652
[237] eval-auc:0.714322 train-auc:0.877885
[238] eval-auc:0.71459 train-auc:0.878323
[239] eval-auc:0.714837 train-auc:0.878845
[240] eval-auc:0.715146 train-auc:0.879106
[241] eval-auc:0.715029 train-auc:0.879208
[242] eval-auc:0.71511 train-auc:0.879434
[243] eval-auc:0.715277 train-auc:0.879816
[244] eval-auc:0.71518 train-auc:0.87993
[245] eval-auc:0.715032 train-auc:0.880467
[246] eval-auc:0.714764 train-auc:0.880584
[247] eval-auc:0.714983 train-auc:0.880643
[248] eval-auc:0.715384 train-auc:0.880855
[249] eval-auc:0.715808 train-auc:0.881015
[250] eval-auc:0.715833 train-auc:0.881122
[251] eval-auc:0.715655 train-auc:0.881757
[252] eval-auc:0.715577 train-auc:0.882152
[253] eval-auc:0.715603 train-auc:0.882345
[254] eval-auc:0.715391 train-auc:0.882445
[255] eval-auc:0.715396 train-auc:0.882474
[256] eval-auc:0.715522 train-auc:0.882683
[257] eval-auc:0.71574 train-auc:0.883055
[258] eval-auc:0.715754 train-auc:0.88306
[259] eval-auc:0.7156 train-auc:0.88313
[260] eval-auc:0.716073 train-auc:0.883556
[261] eval-auc:0.716172 train-auc:0.88376
[262] eval-auc:0.716175 train-auc:0.883785
[263] eval-auc:0.716425 train-auc:0.884537
[264] eval-auc:0.716151 train-auc:0.884619
[265] eval-auc:0.716668 train-auc:0.884997
[266] eval-auc:0.716734 train-auc:0.885289
[267] eval-auc:0.716741 train-auc:0.885294
[268] eval-auc:0.716449 train-auc:0.885974
[269] eval-auc:0.716365 train-auc:0.886449
[270] eval-auc:0.716151 train-auc:0.886847
[271] eval-auc:0.716148 train-auc:0.887008
[272] eval-auc:0.716273 train-auc:0.887153
[273] eval-auc:0.716117 train-auc:0.887554
[274] eval-auc:0.71616 train-auc:0.887748
[275] eval-auc:0.71624 train-auc:0.887867
Score 0.7162401478882676
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8500000000000001, 'eta': 0.225, 'eval_metric': 'auc', 'gamma': 0.8500000000000001, 'max_depth': 3, 'min_child_weight': 1.0, 'n_estimators': 437.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.702485 train-auc:0.723761
[1] eval-auc:0.692197 train-auc:0.726983
[2] eval-auc:0.691338 train-auc:0.743635
[3] eval-auc:0.696608 train-auc:0.742526
[4] eval-auc:0.695003 train-auc:0.748727
[5] eval-auc:0.691729 train-auc:0.760839
[6] eval-auc:0.693755 train-auc:0.765003
[7] eval-auc:0.693327 train-auc:0.768295
[8] eval-auc:0.689397 train-auc:0.771815
[9] eval-auc:0.691759 train-auc:0.775483
[10] eval-auc:0.695373 train-auc:0.77867
[11] eval-auc:0.694642 train-auc:0.784445
[12] eval-auc:0.694166 train-auc:0.789531
[13] eval-auc:0.695422 train-auc:0.791616
[14] eval-auc:0.697402 train-auc:0.792344
[15] eval-auc:0.694001 train-auc:0.795558
[16] eval-auc:0.693461 train-auc:0.796877
[17] eval-auc:0.695371 train-auc:0.799627
[18] eval-auc:0.694772 train-auc:0.80253
[19] eval-auc:0.697013 train-auc:0.805628
[20] eval-auc:0.698176 train-auc:0.808538
[21] eval-auc:0.701108 train-auc:0.81108
[22] eval-auc:0.698681 train-auc:0.815286
[23] eval-auc:0.697032 train-auc:0.81621
[24] eval-auc:0.696694 train-auc:0.818234
[25] eval-auc:0.699185 train-auc:0.820243
[26] eval-auc:0.698861 train-auc:0.821534
[27] eval-auc:0.70035 train-auc:0.822952
[28] eval-auc:0.702223 train-auc:0.827553
[29] eval-auc:0.70177 train-auc:0.831054
[30] eval-auc:0.701773 train-auc:0.830832
[31] eval-auc:0.700241 train-auc:0.834429
[32] eval-auc:0.701592 train-auc:0.837843
[33] eval-auc:0.700258 train-auc:0.83952
[34] eval-auc:0.699288 train-auc:0.840558
[35] eval-auc:0.700272 train-auc:0.842797
[36] eval-auc:0.700482 train-auc:0.845976
[37] eval-auc:0.701676 train-auc:0.848038
[38] eval-auc:0.702867 train-auc:0.848798
[39] eval-auc:0.703418 train-auc:0.849697
[40] eval-auc:0.703553 train-auc:0.851922
[41] eval-auc:0.705514 train-auc:0.853626
[42] eval-auc:0.703359 train-auc:0.856474
[43] eval-auc:0.705195 train-auc:0.85886
[44] eval-auc:0.704551 train-auc:0.86021
[45] eval-auc:0.703566 train-auc:0.862777
[46] eval-auc:0.700312 train-auc:0.864809
[47] eval-auc:0.699952 train-auc:0.866246
[48] eval-auc:0.700007 train-auc:0.868779
[49] eval-auc:0.700936 train-auc:0.871122
[50] eval-auc:0.698996 train-auc:0.872165
[51] eval-auc:0.698297 train-auc:0.874131
[52] eval-auc:0.699433 train-auc:0.876043
[53] eval-auc:0.699504 train-auc:0.876873
[54] eval-auc:0.69888 train-auc:0.877229
[55] eval-auc:0.700729 train-auc:0.877789
[56] eval-auc:0.700782 train-auc:0.877858
[57] eval-auc:0.701667 train-auc:0.87938
[58] eval-auc:0.702689 train-auc:0.880852
[59] eval-auc:0.704167 train-auc:0.882211
[60] eval-auc:0.703943 train-auc:0.883214
[61] eval-auc:0.703304 train-auc:0.883677
[62] eval-auc:0.703142 train-auc:0.884081
[63] eval-auc:0.70301 train-auc:0.884379
[64] eval-auc:0.702541 train-auc:0.885109
[65] eval-auc:0.702408 train-auc:0.885558
[66] eval-auc:0.702023 train-auc:0.886574
[67] eval-auc:0.702443 train-auc:0.887712
[68] eval-auc:0.702041 train-auc:0.888285
[69] eval-auc:0.701609 train-auc:0.890203
[70] eval-auc:0.703395 train-auc:0.891279
[71] eval-auc:0.703794 train-auc:0.89337
[72] eval-auc:0.704612 train-auc:0.894348
[73] eval-auc:0.703794 train-auc:0.895762
[74] eval-auc:0.703707 train-auc:0.895864
[75] eval-auc:0.701172 train-auc:0.897357
[76] eval-auc:0.700331 train-auc:0.898772
[77] eval-auc:0.701151 train-auc:0.899713
[78] eval-auc:0.700076 train-auc:0.900876
[79] eval-auc:0.700178 train-auc:0.901703
[80] eval-auc:0.700359 train-auc:0.902026
[81] eval-auc:0.702133 train-auc:0.904267
[82] eval-auc:0.702019 train-auc:0.905536
[83] eval-auc:0.701923 train-auc:0.907197
[84] eval-auc:0.701789 train-auc:0.90979
[85] eval-auc:0.701574 train-auc:0.909929
[86] eval-auc:0.703088 train-auc:0.910678
[87] eval-auc:0.701624 train-auc:0.911367
[88] eval-auc:0.701769 train-auc:0.911882
[89] eval-auc:0.701629 train-auc:0.912234
[90] eval-auc:0.701696 train-auc:0.912516
[91] eval-auc:0.701447 train-auc:0.912809
[92] eval-auc:0.701793 train-auc:0.913331
[93] eval-auc:0.702302 train-auc:0.913883
[94] eval-auc:0.702999 train-auc:0.914113
[95] eval-auc:0.702398 train-auc:0.914141
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[100] eval-auc:0.701816 train-auc:0.916777
[101] eval-auc:0.702666 train-auc:0.918022
[102] eval-auc:0.702612 train-auc:0.91846
[103] eval-auc:0.702553 train-auc:0.919663
[104] eval-auc:0.702171 train-auc:0.919818
[105] eval-auc:0.703109 train-auc:0.920741
[106] eval-auc:0.703305 train-auc:0.920876
[107] eval-auc:0.703401 train-auc:0.921535
[108] eval-auc:0.703853 train-auc:0.921813
[109] eval-auc:0.703164 train-auc:0.923915
[110] eval-auc:0.703639 train-auc:0.92445
[111] eval-auc:0.70355 train-auc:0.925276
[112] eval-auc:0.704125 train-auc:0.926656
[113] eval-auc:0.704558 train-auc:0.927548
[114] eval-auc:0.703715 train-auc:0.928005
[115] eval-auc:0.703238 train-auc:0.928756
[116] eval-auc:0.703129 train-auc:0.928919
[117] eval-auc:0.703563 train-auc:0.929331
[118] eval-auc:0.702861 train-auc:0.930653
[119] eval-auc:0.702631 train-auc:0.930576
[120] eval-auc:0.703397 train-auc:0.930998
[121] eval-auc:0.702609 train-auc:0.931353
[122] eval-auc:0.702108 train-auc:0.931495
[123] eval-auc:0.702393 train-auc:0.932471
[124] eval-auc:0.703459 train-auc:0.932769
[125] eval-auc:0.703275 train-auc:0.933392
[126] eval-auc:0.703001 train-auc:0.933718
[127] eval-auc:0.70343 train-auc:0.934156
[128] eval-auc:0.703488 train-auc:0.934642
[129] eval-auc:0.704528 train-auc:0.935167
[130] eval-auc:0.7041 train-auc:0.93521
[131] eval-auc:0.703799 train-auc:0.936091
[132] eval-auc:0.704743 train-auc:0.93656
[133] eval-auc:0.70461 train-auc:0.937482
[134] eval-auc:0.704683 train-auc:0.937553
[135] eval-auc:0.705516 train-auc:0.937928
[136] eval-auc:0.705641 train-auc:0.938235
[137] eval-auc:0.707572 train-auc:0.939366
[138] eval-auc:0.708501 train-auc:0.939816
[139] eval-auc:0.708528 train-auc:0.940659
[140] eval-auc:0.707954 train-auc:0.940947
[141] eval-auc:0.709387 train-auc:0.94155
[142] eval-auc:0.709705 train-auc:0.941944
[143] eval-auc:0.710413 train-auc:0.942181
[144] eval-auc:0.709897 train-auc:0.942321
[145] eval-auc:0.710124 train-auc:0.942446
[146] eval-auc:0.710246 train-auc:0.943056
[147] eval-auc:0.710543 train-auc:0.943104
[148] eval-auc:0.71079 train-auc:0.943544
[149] eval-auc:0.710876 train-auc:0.943555
[150] eval-auc:0.711452 train-auc:0.94426
[151] eval-auc:0.711207 train-auc:0.945113
[152] eval-auc:0.711099 train-auc:0.945731
[153] eval-auc:0.712055 train-auc:0.94677
[154] eval-auc:0.712859 train-auc:0.947214
[155] eval-auc:0.712434 train-auc:0.947794
[156] eval-auc:0.712073 train-auc:0.948004
[157] eval-auc:0.711889 train-auc:0.94854
[158] eval-auc:0.710808 train-auc:0.949279
[159] eval-auc:0.710564 train-auc:0.949424
[160] eval-auc:0.710339 train-auc:0.949729
[161] eval-auc:0.708962 train-auc:0.949789
[162] eval-auc:0.709567 train-auc:0.95048
[163] eval-auc:0.709873 train-auc:0.951011
[164] eval-auc:0.709902 train-auc:0.951352
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[166] eval-auc:0.710021 train-auc:0.95162
[167] eval-auc:0.709255 train-auc:0.951846
[168] eval-auc:0.709407 train-auc:0.952345
[169] eval-auc:0.709212 train-auc:0.953404
[170] eval-auc:0.708982 train-auc:0.95371
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[174] eval-auc:0.707631 train-auc:0.954501
[175] eval-auc:0.707333 train-auc:0.954529
[176] eval-auc:0.707088 train-auc:0.954791
[177] eval-auc:0.70553 train-auc:0.95502
[178] eval-auc:0.706139 train-auc:0.955181
[179] eval-auc:0.705987 train-auc:0.95574
[180] eval-auc:0.706291 train-auc:0.955984
[181] eval-auc:0.705816 train-auc:0.956341
[182] eval-auc:0.705953 train-auc:0.956496
[183] eval-auc:0.705204 train-auc:0.957267
[184] eval-auc:0.705091 train-auc:0.957267
[185] eval-auc:0.705594 train-auc:0.957359
[186] eval-auc:0.705624 train-auc:0.957374
[187] eval-auc:0.705405 train-auc:0.957413
[188] eval-auc:0.705419 train-auc:0.957692
[189] eval-auc:0.705905 train-auc:0.958485
[190] eval-auc:0.705895 train-auc:0.958489
[191] eval-auc:0.705796 train-auc:0.958601
[192] eval-auc:0.705897 train-auc:0.958659
[193] eval-auc:0.705643 train-auc:0.958696
[194] eval-auc:0.705883 train-auc:0.958785
[195] eval-auc:0.705975 train-auc:0.958943
[196] eval-auc:0.706071 train-auc:0.959053
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[202] eval-auc:0.704254 train-auc:0.960353
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[225] eval-auc:0.70514 train-auc:0.968458
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[230] eval-auc:0.704843 train-auc:0.969314
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[235] eval-auc:0.70615 train-auc:0.97037
[236] eval-auc:0.706075 train-auc:0.970634
[237] eval-auc:0.70634 train-auc:0.970875
[238] eval-auc:0.7062 train-auc:0.970854
[239] eval-auc:0.706413 train-auc:0.971183
[240] eval-auc:0.706329 train-auc:0.97158
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[248] eval-auc:0.706089 train-auc:0.973497
[249] eval-auc:0.705372 train-auc:0.973601
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[251] eval-auc:0.705309 train-auc:0.973949
[252] eval-auc:0.705203 train-auc:0.974321
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[255] eval-auc:0.705175 train-auc:0.975159
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[257] eval-auc:0.705152 train-auc:0.9754
[258] eval-auc:0.705134 train-auc:0.975364
[259] eval-auc:0.704932 train-auc:0.975715
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[267] eval-auc:0.702516 train-auc:0.976555
[268] eval-auc:0.703016 train-auc:0.976759
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[270] eval-auc:0.702815 train-auc:0.976972
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[277] eval-auc:0.704775 train-auc:0.977996
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[280] eval-auc:0.704351 train-auc:0.978187
[281] eval-auc:0.703951 train-auc:0.978304
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[283] eval-auc:0.704406 train-auc:0.978427
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[291] eval-auc:0.703831 train-auc:0.979265
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[299] eval-auc:0.703218 train-auc:0.980194
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[341] eval-auc:0.69844 train-auc:0.984802
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[343] eval-auc:0.697999 train-auc:0.98496
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[348] eval-auc:0.698024 train-auc:0.985174
[349] eval-auc:0.698207 train-auc:0.985234
[350] eval-auc:0.69791 train-auc:0.98539
[351] eval-auc:0.697753 train-auc:0.985433
[352] eval-auc:0.698315 train-auc:0.985641
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[354] eval-auc:0.698755 train-auc:0.985861
[355] eval-auc:0.69869 train-auc:0.985957
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[357] eval-auc:0.698688 train-auc:0.986233
[358] eval-auc:0.698675 train-auc:0.986283
[359] eval-auc:0.698507 train-auc:0.986442
[360] eval-auc:0.698586 train-auc:0.986446
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[363] eval-auc:0.69911 train-auc:0.986614
[364] eval-auc:0.699404 train-auc:0.986721
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[372] eval-auc:0.700267 train-auc:0.987358
[373] eval-auc:0.699878 train-auc:0.987438
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[376] eval-auc:0.698876 train-auc:0.98757
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[379] eval-auc:0.698554 train-auc:0.987748
[380] eval-auc:0.698577 train-auc:0.987759
[381] eval-auc:0.698295 train-auc:0.987929
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[383] eval-auc:0.698445 train-auc:0.988162
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[386] eval-auc:0.698329 train-auc:0.988368
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[391] eval-auc:0.698032 train-auc:0.988509
[392] eval-auc:0.698186 train-auc:0.988626
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[395] eval-auc:0.699495 train-auc:0.98888
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[397] eval-auc:0.699223 train-auc:0.989116
[398] eval-auc:0.699119 train-auc:0.989126
[399] eval-auc:0.69906 train-auc:0.989167
[400] eval-auc:0.699232 train-auc:0.989157
[401] eval-auc:0.699535 train-auc:0.989156
[402] eval-auc:0.699864 train-auc:0.98922
[403] eval-auc:0.699923 train-auc:0.989269
[404] eval-auc:0.699593 train-auc:0.989284
[405] eval-auc:0.69925 train-auc:0.989315
[406] eval-auc:0.699684 train-auc:0.989379
[407] eval-auc:0.699801 train-auc:0.989441
[408] eval-auc:0.69994 train-auc:0.989478
[409] eval-auc:0.70012 train-auc:0.989542
[410] eval-auc:0.699873 train-auc:0.9896
[411] eval-auc:0.699693 train-auc:0.989614
[412] eval-auc:0.699893 train-auc:0.98968
[413] eval-auc:0.699951 train-auc:0.989788
[414] eval-auc:0.699812 train-auc:0.989875
[415] eval-auc:0.699646 train-auc:0.98999
[416] eval-auc:0.700022 train-auc:0.989995
[417] eval-auc:0.699957 train-auc:0.99003
[418] eval-auc:0.700039 train-auc:0.99015
[419] eval-auc:0.700156 train-auc:0.990177
[420] eval-auc:0.699789 train-auc:0.990191
[421] eval-auc:0.699544 train-auc:0.990215
[422] eval-auc:0.699163 train-auc:0.990246
[423] eval-auc:0.699036 train-auc:0.990303
[424] eval-auc:0.699375 train-auc:0.990349
[425] eval-auc:0.698764 train-auc:0.990386
[426] eval-auc:0.698475 train-auc:0.990445
[427] eval-auc:0.698289 train-auc:0.990555
[428] eval-auc:0.698026 train-auc:0.990666
[429] eval-auc:0.698026 train-auc:0.990732
[430] eval-auc:0.698218 train-auc:0.990801
[431] eval-auc:0.698277 train-auc:0.990856
[432] eval-auc:0.698431 train-auc:0.990868
[433] eval-auc:0.698832 train-auc:0.990895
[434] eval-auc:0.698726 train-auc:0.991015
[435] eval-auc:0.698232 train-auc:0.991017
[436] eval-auc:0.698003 train-auc:0.991078
Score 0.6980030820207336
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8500000000000001, 'eta': 0.05, 'eval_metric': 'auc', 'gamma': 0.8, 'max_depth': 3, 'min_child_weight': 1.0, 'n_estimators': 288.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.702485 train-auc:0.723761
[1] eval-auc:0.70034 train-auc:0.717323
[2] eval-auc:0.703404 train-auc:0.726255
[3] eval-auc:0.704517 train-auc:0.722964
[4] eval-auc:0.70351 train-auc:0.725893
[5] eval-auc:0.704903 train-auc:0.730682
[6] eval-auc:0.702842 train-auc:0.732569
[7] eval-auc:0.703581 train-auc:0.734979
[8] eval-auc:0.694078 train-auc:0.738627
[9] eval-auc:0.696799 train-auc:0.741976
[10] eval-auc:0.69804 train-auc:0.741138
[11] eval-auc:0.698331 train-auc:0.74229
[12] eval-auc:0.700064 train-auc:0.743911
[13] eval-auc:0.699531 train-auc:0.744318
[14] eval-auc:0.69676 train-auc:0.746513
[15] eval-auc:0.697388 train-auc:0.748955
[16] eval-auc:0.69775 train-auc:0.747445
[17] eval-auc:0.698262 train-auc:0.748604
[18] eval-auc:0.698633 train-auc:0.750392
[19] eval-auc:0.698393 train-auc:0.748512
[20] eval-auc:0.697886 train-auc:0.749951
[21] eval-auc:0.695508 train-auc:0.750862
[22] eval-auc:0.696378 train-auc:0.752372
[23] eval-auc:0.69804 train-auc:0.75344
[24] eval-auc:0.698442 train-auc:0.755094
[25] eval-auc:0.696847 train-auc:0.758323
[26] eval-auc:0.696537 train-auc:0.758412
[27] eval-auc:0.696899 train-auc:0.757427
[28] eval-auc:0.698231 train-auc:0.75824
[29] eval-auc:0.698285 train-auc:0.759778
[30] eval-auc:0.698369 train-auc:0.760263
[31] eval-auc:0.697967 train-auc:0.760524
[32] eval-auc:0.699795 train-auc:0.760166
[33] eval-auc:0.699872 train-auc:0.760943
[34] eval-auc:0.699854 train-auc:0.762864
[35] eval-auc:0.699106 train-auc:0.764157
[36] eval-auc:0.699001 train-auc:0.765817
[37] eval-auc:0.698441 train-auc:0.766476
[38] eval-auc:0.698246 train-auc:0.768633
[39] eval-auc:0.698194 train-auc:0.770219
[40] eval-auc:0.698078 train-auc:0.770685
[41] eval-auc:0.697494 train-auc:0.772716
[42] eval-auc:0.698815 train-auc:0.772922
[43] eval-auc:0.697392 train-auc:0.774753
[44] eval-auc:0.697422 train-auc:0.775147
[45] eval-auc:0.698158 train-auc:0.776986
[46] eval-auc:0.698851 train-auc:0.77779
[47] eval-auc:0.698943 train-auc:0.77943
[48] eval-auc:0.699681 train-auc:0.779359
[49] eval-auc:0.699561 train-auc:0.780692
[50] eval-auc:0.700149 train-auc:0.781422
[51] eval-auc:0.700589 train-auc:0.782037
[52] eval-auc:0.700957 train-auc:0.783102
[53] eval-auc:0.701515 train-auc:0.784466
[54] eval-auc:0.700665 train-auc:0.784918
[55] eval-auc:0.701572 train-auc:0.786373
[56] eval-auc:0.702453 train-auc:0.787705
[57] eval-auc:0.702386 train-auc:0.788329
[58] eval-auc:0.702322 train-auc:0.78894
[59] eval-auc:0.701916 train-auc:0.789976
[60] eval-auc:0.702054 train-auc:0.79036
[61] eval-auc:0.702533 train-auc:0.790968
[62] eval-auc:0.703036 train-auc:0.791326
[63] eval-auc:0.703871 train-auc:0.791605
[64] eval-auc:0.703802 train-auc:0.792143
[65] eval-auc:0.703812 train-auc:0.792384
[66] eval-auc:0.703568 train-auc:0.792824
[67] eval-auc:0.704118 train-auc:0.793426
[68] eval-auc:0.704078 train-auc:0.793642
[69] eval-auc:0.704789 train-auc:0.793804
[70] eval-auc:0.704856 train-auc:0.793893
[71] eval-auc:0.704612 train-auc:0.794805
[72] eval-auc:0.70472 train-auc:0.794897
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[78] eval-auc:0.706301 train-auc:0.798554
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[80] eval-auc:0.706175 train-auc:0.800374
[81] eval-auc:0.705928 train-auc:0.800691
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[84] eval-auc:0.70594 train-auc:0.803136
[85] eval-auc:0.706853 train-auc:0.804335
[86] eval-auc:0.706897 train-auc:0.804933
[87] eval-auc:0.707866 train-auc:0.807629
[88] eval-auc:0.708189 train-auc:0.808023
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[100] eval-auc:0.708127 train-auc:0.815139
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[104] eval-auc:0.708387 train-auc:0.816823
[105] eval-auc:0.709322 train-auc:0.818661
[106] eval-auc:0.708993 train-auc:0.819425
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[108] eval-auc:0.708476 train-auc:0.820686
[109] eval-auc:0.708261 train-auc:0.821038
[110] eval-auc:0.708202 train-auc:0.820893
[111] eval-auc:0.708316 train-auc:0.821303
[112] eval-auc:0.707896 train-auc:0.822305
[113] eval-auc:0.708125 train-auc:0.823101
[114] eval-auc:0.707836 train-auc:0.823682
[115] eval-auc:0.707567 train-auc:0.824012
[116] eval-auc:0.708329 train-auc:0.825091
[117] eval-auc:0.708276 train-auc:0.825132
[118] eval-auc:0.708384 train-auc:0.825932
[119] eval-auc:0.708624 train-auc:0.82602
[120] eval-auc:0.708411 train-auc:0.82679
[121] eval-auc:0.708325 train-auc:0.827051
[122] eval-auc:0.708304 train-auc:0.827272
[123] eval-auc:0.707921 train-auc:0.827459
[124] eval-auc:0.707183 train-auc:0.827999
[125] eval-auc:0.707605 train-auc:0.829568
[126] eval-auc:0.707391 train-auc:0.82993
[127] eval-auc:0.707998 train-auc:0.831109
[128] eval-auc:0.707706 train-auc:0.831545
[129] eval-auc:0.708402 train-auc:0.832379
[130] eval-auc:0.708419 train-auc:0.832867
[131] eval-auc:0.708052 train-auc:0.833742
[132] eval-auc:0.707416 train-auc:0.834608
[133] eval-auc:0.707372 train-auc:0.835225
[134] eval-auc:0.707299 train-auc:0.835444
[135] eval-auc:0.707113 train-auc:0.836015
[136] eval-auc:0.706487 train-auc:0.836363
[137] eval-auc:0.706667 train-auc:0.837465
[138] eval-auc:0.707067 train-auc:0.838784
[139] eval-auc:0.706501 train-auc:0.839392
[140] eval-auc:0.706024 train-auc:0.840455
[141] eval-auc:0.705658 train-auc:0.840549
[142] eval-auc:0.705184 train-auc:0.841133
[143] eval-auc:0.705065 train-auc:0.841392
[144] eval-auc:0.705156 train-auc:0.841917
[145] eval-auc:0.705005 train-auc:0.842426
[146] eval-auc:0.704897 train-auc:0.843065
[147] eval-auc:0.704903 train-auc:0.843113
[148] eval-auc:0.704937 train-auc:0.843129
[149] eval-auc:0.704453 train-auc:0.843901
[150] eval-auc:0.704654 train-auc:0.844363
[151] eval-auc:0.704715 train-auc:0.844765
[152] eval-auc:0.704978 train-auc:0.845589
[153] eval-auc:0.704984 train-auc:0.845634
[154] eval-auc:0.704483 train-auc:0.845877
[155] eval-auc:0.705031 train-auc:0.846734
[156] eval-auc:0.705704 train-auc:0.847581
[157] eval-auc:0.70584 train-auc:0.848057
[158] eval-auc:0.705808 train-auc:0.848276
[159] eval-auc:0.706018 train-auc:0.848812
[160] eval-auc:0.705747 train-auc:0.849097
[161] eval-auc:0.705412 train-auc:0.849337
[162] eval-auc:0.704923 train-auc:0.849908
[163] eval-auc:0.705465 train-auc:0.851072
[164] eval-auc:0.705197 train-auc:0.851579
[165] eval-auc:0.705366 train-auc:0.851877
[166] eval-auc:0.705739 train-auc:0.852396
[167] eval-auc:0.7063 train-auc:0.853024
[168] eval-auc:0.706307 train-auc:0.853061
[169] eval-auc:0.70635 train-auc:0.853054
[170] eval-auc:0.706277 train-auc:0.853594
[171] eval-auc:0.706718 train-auc:0.854546
[172] eval-auc:0.706711 train-auc:0.854928
[173] eval-auc:0.70675 train-auc:0.855151
[174] eval-auc:0.706665 train-auc:0.855206
[175] eval-auc:0.707029 train-auc:0.855665
[176] eval-auc:0.707067 train-auc:0.855907
[177] eval-auc:0.706982 train-auc:0.856081
[178] eval-auc:0.707138 train-auc:0.857053
[179] eval-auc:0.706866 train-auc:0.857504
[180] eval-auc:0.706784 train-auc:0.857928
[181] eval-auc:0.706839 train-auc:0.858485
[182] eval-auc:0.707181 train-auc:0.858633
[183] eval-auc:0.707184 train-auc:0.858652
[184] eval-auc:0.707524 train-auc:0.859093
[185] eval-auc:0.707566 train-auc:0.859144
[186] eval-auc:0.707789 train-auc:0.860106
[187] eval-auc:0.707436 train-auc:0.860383
[188] eval-auc:0.707313 train-auc:0.860636
[189] eval-auc:0.707454 train-auc:0.861459
[190] eval-auc:0.707732 train-auc:0.862304
[191] eval-auc:0.706948 train-auc:0.862917
[192] eval-auc:0.70688 train-auc:0.863195
[193] eval-auc:0.706913 train-auc:0.863239
[194] eval-auc:0.706872 train-auc:0.863644
[195] eval-auc:0.706874 train-auc:0.863657
[196] eval-auc:0.707315 train-auc:0.863833
[197] eval-auc:0.707672 train-auc:0.864494
[198] eval-auc:0.708027 train-auc:0.865028
[199] eval-auc:0.70783 train-auc:0.865422
[200] eval-auc:0.707675 train-auc:0.865769
[201] eval-auc:0.707704 train-auc:0.865732
[202] eval-auc:0.707691 train-auc:0.866028
[203] eval-auc:0.707693 train-auc:0.866036
[204] eval-auc:0.707579 train-auc:0.866365
[205] eval-auc:0.707829 train-auc:0.866885
[206] eval-auc:0.708229 train-auc:0.867558
[207] eval-auc:0.708161 train-auc:0.867897
[208] eval-auc:0.707879 train-auc:0.868167
[209] eval-auc:0.708298 train-auc:0.868455
[210] eval-auc:0.709085 train-auc:0.869184
[211] eval-auc:0.708856 train-auc:0.869436
[212] eval-auc:0.708948 train-auc:0.869683
[213] eval-auc:0.708919 train-auc:0.869595
[214] eval-auc:0.708782 train-auc:0.869879
[215] eval-auc:0.709076 train-auc:0.870355
[216] eval-auc:0.709336 train-auc:0.871053
[217] eval-auc:0.709342 train-auc:0.871673
[218] eval-auc:0.70912 train-auc:0.871887
[219] eval-auc:0.708829 train-auc:0.872008
[220] eval-auc:0.709236 train-auc:0.872499
[221] eval-auc:0.70931 train-auc:0.872727
[222] eval-auc:0.709166 train-auc:0.872886
[223] eval-auc:0.709499 train-auc:0.873044
[224] eval-auc:0.709673 train-auc:0.873227
[225] eval-auc:0.709837 train-auc:0.873613
[226] eval-auc:0.710085 train-auc:0.874184
[227] eval-auc:0.710033 train-auc:0.874098
[228] eval-auc:0.710295 train-auc:0.874427
[229] eval-auc:0.710213 train-auc:0.87461
[230] eval-auc:0.710222 train-auc:0.874864
[231] eval-auc:0.710266 train-auc:0.875062
[232] eval-auc:0.710035 train-auc:0.875309
[233] eval-auc:0.710102 train-auc:0.875391
[234] eval-auc:0.710236 train-auc:0.876118
[235] eval-auc:0.709997 train-auc:0.876843
[236] eval-auc:0.709998 train-auc:0.876988
[237] eval-auc:0.710023 train-auc:0.87738
[238] eval-auc:0.709817 train-auc:0.877546
[239] eval-auc:0.709862 train-auc:0.878329
[240] eval-auc:0.709966 train-auc:0.878523
[241] eval-auc:0.709824 train-auc:0.878668
[242] eval-auc:0.710036 train-auc:0.8791
[243] eval-auc:0.709742 train-auc:0.879227
[244] eval-auc:0.710072 train-auc:0.879585
[245] eval-auc:0.710098 train-auc:0.879552
[246] eval-auc:0.7101 train-auc:0.879556
[247] eval-auc:0.710362 train-auc:0.879859
[248] eval-auc:0.710223 train-auc:0.879941
[249] eval-auc:0.710034 train-auc:0.880448
[250] eval-auc:0.710515 train-auc:0.88088
[251] eval-auc:0.710802 train-auc:0.881291
[252] eval-auc:0.710697 train-auc:0.881786
[253] eval-auc:0.710558 train-auc:0.881946
[254] eval-auc:0.710531 train-auc:0.881983
[255] eval-auc:0.710544 train-auc:0.882376
[256] eval-auc:0.71078 train-auc:0.88264
[257] eval-auc:0.711208 train-auc:0.883125
[258] eval-auc:0.711047 train-auc:0.883206
[259] eval-auc:0.710899 train-auc:0.883652
[260] eval-auc:0.710761 train-auc:0.883731
[261] eval-auc:0.710782 train-auc:0.883899
[262] eval-auc:0.710783 train-auc:0.883903
[263] eval-auc:0.711339 train-auc:0.884539
[264] eval-auc:0.711242 train-auc:0.884591
[265] eval-auc:0.711053 train-auc:0.884743
[266] eval-auc:0.710701 train-auc:0.884952
[267] eval-auc:0.711006 train-auc:0.885238
[268] eval-auc:0.710864 train-auc:0.885441
[269] eval-auc:0.71108 train-auc:0.885686
[270] eval-auc:0.711126 train-auc:0.885843
[271] eval-auc:0.711125 train-auc:0.885845
[272] eval-auc:0.711004 train-auc:0.88613
[273] eval-auc:0.71101 train-auc:0.886133
[274] eval-auc:0.710713 train-auc:0.886191
[275] eval-auc:0.710701 train-auc:0.886297
[276] eval-auc:0.710904 train-auc:0.886459
[277] eval-auc:0.711557 train-auc:0.886908
[278] eval-auc:0.711696 train-auc:0.887241
[279] eval-auc:0.71182 train-auc:0.888033
[280] eval-auc:0.711732 train-auc:0.888195
[281] eval-auc:0.711997 train-auc:0.888569
[282] eval-auc:0.71193 train-auc:0.88919
[283] eval-auc:0.711834 train-auc:0.890208
[284] eval-auc:0.712 train-auc:0.890346
[285] eval-auc:0.711861 train-auc:0.891005
[286] eval-auc:0.712058 train-auc:0.891114
[287] eval-auc:0.712426 train-auc:0.891403
Score 0.7124264517779483
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8, 'eta': 0.05, 'eval_metric': 'auc', 'gamma': 0.8, 'max_depth': 3, 'min_child_weight': 1.0, 'n_estimators': 396.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.702485 train-auc:0.723761
[1] eval-auc:0.684266 train-auc:0.727677
[2] eval-auc:0.687126 train-auc:0.730675
[3] eval-auc:0.698138 train-auc:0.729377
[4] eval-auc:0.697753 train-auc:0.725002
[5] eval-auc:0.706201 train-auc:0.73316
[6] eval-auc:0.708282 train-auc:0.734618
[7] eval-auc:0.709278 train-auc:0.736347
[8] eval-auc:0.70199 train-auc:0.74012
[9] eval-auc:0.702635 train-auc:0.742193
[10] eval-auc:0.702509 train-auc:0.744121
[11] eval-auc:0.700651 train-auc:0.743083
[12] eval-auc:0.700561 train-auc:0.743583
[13] eval-auc:0.698343 train-auc:0.741625
[14] eval-auc:0.696715 train-auc:0.742697
[15] eval-auc:0.698854 train-auc:0.745669
[16] eval-auc:0.698334 train-auc:0.746053
[17] eval-auc:0.697676 train-auc:0.745816
[18] eval-auc:0.697503 train-auc:0.74741
[19] eval-auc:0.696445 train-auc:0.749998
[20] eval-auc:0.696657 train-auc:0.751783
[21] eval-auc:0.696319 train-auc:0.754142
[22] eval-auc:0.696355 train-auc:0.754458
[23] eval-auc:0.695386 train-auc:0.756328
[24] eval-auc:0.696525 train-auc:0.758205
[25] eval-auc:0.697243 train-auc:0.761198
[26] eval-auc:0.696221 train-auc:0.762018
[27] eval-auc:0.696369 train-auc:0.760057
[28] eval-auc:0.697777 train-auc:0.760727
[29] eval-auc:0.697669 train-auc:0.761563
[30] eval-auc:0.699253 train-auc:0.76163
[31] eval-auc:0.699259 train-auc:0.763295
[32] eval-auc:0.700238 train-auc:0.762888
[33] eval-auc:0.699864 train-auc:0.763529
[34] eval-auc:0.700044 train-auc:0.764925
[35] eval-auc:0.699522 train-auc:0.766262
[36] eval-auc:0.699476 train-auc:0.767971
[37] eval-auc:0.700406 train-auc:0.768805
[38] eval-auc:0.700139 train-auc:0.770642
[39] eval-auc:0.700949 train-auc:0.772928
[40] eval-auc:0.701141 train-auc:0.773269
[41] eval-auc:0.70066 train-auc:0.774109
[42] eval-auc:0.70174 train-auc:0.774629
[43] eval-auc:0.703193 train-auc:0.775741
[44] eval-auc:0.703866 train-auc:0.776918
[45] eval-auc:0.703018 train-auc:0.778712
[46] eval-auc:0.702112 train-auc:0.778425
[47] eval-auc:0.702049 train-auc:0.778966
[48] eval-auc:0.702976 train-auc:0.778918
[49] eval-auc:0.702909 train-auc:0.779762
[50] eval-auc:0.703102 train-auc:0.780492
[51] eval-auc:0.701543 train-auc:0.78062
[52] eval-auc:0.701932 train-auc:0.781688
[53] eval-auc:0.702497 train-auc:0.783023
[54] eval-auc:0.702736 train-auc:0.784207
[55] eval-auc:0.703583 train-auc:0.784891
[56] eval-auc:0.703241 train-auc:0.785538
[57] eval-auc:0.703599 train-auc:0.785928
[58] eval-auc:0.704236 train-auc:0.787252
[59] eval-auc:0.703693 train-auc:0.787663
[60] eval-auc:0.703493 train-auc:0.788447
[61] eval-auc:0.704098 train-auc:0.789047
[62] eval-auc:0.704202 train-auc:0.790644
[63] eval-auc:0.704434 train-auc:0.79067
[64] eval-auc:0.705259 train-auc:0.791585
[65] eval-auc:0.705402 train-auc:0.791795
[66] eval-auc:0.705433 train-auc:0.792044
[67] eval-auc:0.704916 train-auc:0.7922
[68] eval-auc:0.70505 train-auc:0.793366
[69] eval-auc:0.705582 train-auc:0.793705
[70] eval-auc:0.70597 train-auc:0.79374
[71] eval-auc:0.705655 train-auc:0.794214
[72] eval-auc:0.705742 train-auc:0.794332
[73] eval-auc:0.706869 train-auc:0.795037
[74] eval-auc:0.707008 train-auc:0.795587
[75] eval-auc:0.707662 train-auc:0.795766
[76] eval-auc:0.708087 train-auc:0.795928
[77] eval-auc:0.707574 train-auc:0.79654
[78] eval-auc:0.707329 train-auc:0.797253
[79] eval-auc:0.70736 train-auc:0.797417
[80] eval-auc:0.707363 train-auc:0.798015
[81] eval-auc:0.707781 train-auc:0.798416
[82] eval-auc:0.708374 train-auc:0.799073
[83] eval-auc:0.708114 train-auc:0.799412
[84] eval-auc:0.708062 train-auc:0.799594
[85] eval-auc:0.708245 train-auc:0.799583
[86] eval-auc:0.708375 train-auc:0.800331
[87] eval-auc:0.708512 train-auc:0.80054
[88] eval-auc:0.708767 train-auc:0.800877
[89] eval-auc:0.708654 train-auc:0.80158
[90] eval-auc:0.708961 train-auc:0.802818
[91] eval-auc:0.708974 train-auc:0.802545
[92] eval-auc:0.708625 train-auc:0.804056
[93] eval-auc:0.707993 train-auc:0.80639
[94] eval-auc:0.707781 train-auc:0.806809
[95] eval-auc:0.707233 train-auc:0.808198
[96] eval-auc:0.707181 train-auc:0.808638
[97] eval-auc:0.706865 train-auc:0.808869
[98] eval-auc:0.706722 train-auc:0.81062
[99] eval-auc:0.706478 train-auc:0.810959
[100] eval-auc:0.706501 train-auc:0.811379
[101] eval-auc:0.706522 train-auc:0.81203
[102] eval-auc:0.706548 train-auc:0.811979
[103] eval-auc:0.706507 train-auc:0.8119
[104] eval-auc:0.706913 train-auc:0.814094
[105] eval-auc:0.70671 train-auc:0.814374
[106] eval-auc:0.706657 train-auc:0.814708
[107] eval-auc:0.706399 train-auc:0.815188
[108] eval-auc:0.706463 train-auc:0.816467
[109] eval-auc:0.706236 train-auc:0.816774
[110] eval-auc:0.706408 train-auc:0.81892
[111] eval-auc:0.706346 train-auc:0.81958
[112] eval-auc:0.706159 train-auc:0.819366
[113] eval-auc:0.706119 train-auc:0.819234
[114] eval-auc:0.705659 train-auc:0.819912
[115] eval-auc:0.705206 train-auc:0.820927
[116] eval-auc:0.706064 train-auc:0.821713
[117] eval-auc:0.706061 train-auc:0.82173
[118] eval-auc:0.705972 train-auc:0.822038
[119] eval-auc:0.706401 train-auc:0.822472
[120] eval-auc:0.706412 train-auc:0.822744
[121] eval-auc:0.705939 train-auc:0.823049
[122] eval-auc:0.705636 train-auc:0.823714
[123] eval-auc:0.705939 train-auc:0.82392
[124] eval-auc:0.706062 train-auc:0.824942
[125] eval-auc:0.706224 train-auc:0.825397
[126] eval-auc:0.706884 train-auc:0.826732
[127] eval-auc:0.706642 train-auc:0.827324
[128] eval-auc:0.706667 train-auc:0.827177
[129] eval-auc:0.706531 train-auc:0.827822
[130] eval-auc:0.706976 train-auc:0.828168
[131] eval-auc:0.706878 train-auc:0.828764
[132] eval-auc:0.7071 train-auc:0.82983
[133] eval-auc:0.706507 train-auc:0.830721
[134] eval-auc:0.706166 train-auc:0.831131
[135] eval-auc:0.706035 train-auc:0.83159
[136] eval-auc:0.706065 train-auc:0.831587
[137] eval-auc:0.706359 train-auc:0.832731
[138] eval-auc:0.706388 train-auc:0.832725
[139] eval-auc:0.706301 train-auc:0.832995
[140] eval-auc:0.706263 train-auc:0.833203
[141] eval-auc:0.705825 train-auc:0.833677
[142] eval-auc:0.705768 train-auc:0.833914
[143] eval-auc:0.706413 train-auc:0.83413
[144] eval-auc:0.707226 train-auc:0.835249
[145] eval-auc:0.707424 train-auc:0.836066
[146] eval-auc:0.707497 train-auc:0.836688
[147] eval-auc:0.70751 train-auc:0.83658
[148] eval-auc:0.70759 train-auc:0.83739
[149] eval-auc:0.707324 train-auc:0.838016
[150] eval-auc:0.707374 train-auc:0.838847
[151] eval-auc:0.706865 train-auc:0.839365
[152] eval-auc:0.706664 train-auc:0.84011
[153] eval-auc:0.706587 train-auc:0.840267
[154] eval-auc:0.70648 train-auc:0.84073
[155] eval-auc:0.706833 train-auc:0.840905
[156] eval-auc:0.706406 train-auc:0.841301
[157] eval-auc:0.706409 train-auc:0.841457
[158] eval-auc:0.706844 train-auc:0.842317
[159] eval-auc:0.706898 train-auc:0.842555
[160] eval-auc:0.706929 train-auc:0.842526
[161] eval-auc:0.707605 train-auc:0.843924
[162] eval-auc:0.707242 train-auc:0.844196
[163] eval-auc:0.706967 train-auc:0.844642
[164] eval-auc:0.706975 train-auc:0.844714
[165] eval-auc:0.706922 train-auc:0.844851
[166] eval-auc:0.706707 train-auc:0.845337
[167] eval-auc:0.706514 train-auc:0.845792
[168] eval-auc:0.706418 train-auc:0.845994
[169] eval-auc:0.706713 train-auc:0.846214
[170] eval-auc:0.706465 train-auc:0.846647
[171] eval-auc:0.706653 train-auc:0.847185
[172] eval-auc:0.706326 train-auc:0.848202
[173] eval-auc:0.706383 train-auc:0.848636
[174] eval-auc:0.706326 train-auc:0.849552
[175] eval-auc:0.70691 train-auc:0.850237
[176] eval-auc:0.706699 train-auc:0.850708
[177] eval-auc:0.706653 train-auc:0.851081
[178] eval-auc:0.706647 train-auc:0.851437
[179] eval-auc:0.70632 train-auc:0.85159
[180] eval-auc:0.706766 train-auc:0.852434
[181] eval-auc:0.707347 train-auc:0.853117
[182] eval-auc:0.70709 train-auc:0.853373
[183] eval-auc:0.70695 train-auc:0.853727
[184] eval-auc:0.707396 train-auc:0.853918
[185] eval-auc:0.707398 train-auc:0.853986
[186] eval-auc:0.707393 train-auc:0.853895
[187] eval-auc:0.707134 train-auc:0.85424
[188] eval-auc:0.706814 train-auc:0.85453
[189] eval-auc:0.707078 train-auc:0.855156
[190] eval-auc:0.707063 train-auc:0.855052
[191] eval-auc:0.707076 train-auc:0.855105
[192] eval-auc:0.707197 train-auc:0.85597
[193] eval-auc:0.706963 train-auc:0.856317
[194] eval-auc:0.707248 train-auc:0.856821
[195] eval-auc:0.707139 train-auc:0.856954
[196] eval-auc:0.707102 train-auc:0.857163
[197] eval-auc:0.707055 train-auc:0.857751
[198] eval-auc:0.707175 train-auc:0.858001
[199] eval-auc:0.706988 train-auc:0.858479
[200] eval-auc:0.707338 train-auc:0.858959
[201] eval-auc:0.70709 train-auc:0.859232
[202] eval-auc:0.707008 train-auc:0.859339
[203] eval-auc:0.707015 train-auc:0.859383
[204] eval-auc:0.70704 train-auc:0.859702
[205] eval-auc:0.707157 train-auc:0.85971
[206] eval-auc:0.707221 train-auc:0.86011
[207] eval-auc:0.707239 train-auc:0.860766
[208] eval-auc:0.707725 train-auc:0.861117
[209] eval-auc:0.707725 train-auc:0.861607
[210] eval-auc:0.707705 train-auc:0.861694
[211] eval-auc:0.707408 train-auc:0.8618
[212] eval-auc:0.707398 train-auc:0.862254
[213] eval-auc:0.707302 train-auc:0.862863
[214] eval-auc:0.707088 train-auc:0.863357
[215] eval-auc:0.707105 train-auc:0.863642
[216] eval-auc:0.706932 train-auc:0.863858
[217] eval-auc:0.706919 train-auc:0.863762
[218] eval-auc:0.706813 train-auc:0.863954
[219] eval-auc:0.706945 train-auc:0.864469
[220] eval-auc:0.707216 train-auc:0.864713
[221] eval-auc:0.707201 train-auc:0.864611
[222] eval-auc:0.707002 train-auc:0.86481
[223] eval-auc:0.707503 train-auc:0.865459
[224] eval-auc:0.707742 train-auc:0.865665
[225] eval-auc:0.707742 train-auc:0.865694
[226] eval-auc:0.707708 train-auc:0.865763
[227] eval-auc:0.707704 train-auc:0.866104
[228] eval-auc:0.70753 train-auc:0.866296
[229] eval-auc:0.707512 train-auc:0.86631
[230] eval-auc:0.707513 train-auc:0.866331
[231] eval-auc:0.707557 train-auc:0.866851
[232] eval-auc:0.707784 train-auc:0.867307
[233] eval-auc:0.70762 train-auc:0.867436
[234] eval-auc:0.707596 train-auc:0.867687
[235] eval-auc:0.707043 train-auc:0.868051
[236] eval-auc:0.707023 train-auc:0.86875
[237] eval-auc:0.707104 train-auc:0.869004
[238] eval-auc:0.707189 train-auc:0.869337
[239] eval-auc:0.70745 train-auc:0.869924
[240] eval-auc:0.707752 train-auc:0.870503
[241] eval-auc:0.707728 train-auc:0.870575
[242] eval-auc:0.707434 train-auc:0.870674
[243] eval-auc:0.70766 train-auc:0.871266
[244] eval-auc:0.707806 train-auc:0.872084
[245] eval-auc:0.707526 train-auc:0.872253
[246] eval-auc:0.707487 train-auc:0.873207
[247] eval-auc:0.70731 train-auc:0.873406
[248] eval-auc:0.707374 train-auc:0.87367
[249] eval-auc:0.707513 train-auc:0.874287
[250] eval-auc:0.707516 train-auc:0.874292
[251] eval-auc:0.707514 train-auc:0.8743
[252] eval-auc:0.707543 train-auc:0.874489
[253] eval-auc:0.70742 train-auc:0.874607
[254] eval-auc:0.70721 train-auc:0.87494
[255] eval-auc:0.707255 train-auc:0.875171
[256] eval-auc:0.707566 train-auc:0.875665
[257] eval-auc:0.707242 train-auc:0.875994
[258] eval-auc:0.707481 train-auc:0.876531
[259] eval-auc:0.707528 train-auc:0.877071
[260] eval-auc:0.70738 train-auc:0.877129
[261] eval-auc:0.707143 train-auc:0.877206
[262] eval-auc:0.707147 train-auc:0.877211
[263] eval-auc:0.706978 train-auc:0.878013
[264] eval-auc:0.707171 train-auc:0.878532
[265] eval-auc:0.707339 train-auc:0.878725
[266] eval-auc:0.707368 train-auc:0.878836
[267] eval-auc:0.707376 train-auc:0.878838
[268] eval-auc:0.70752 train-auc:0.87939
[269] eval-auc:0.707522 train-auc:0.879393
[270] eval-auc:0.707418 train-auc:0.879496
[271] eval-auc:0.707406 train-auc:0.879671
[272] eval-auc:0.707087 train-auc:0.880423
[273] eval-auc:0.707012 train-auc:0.880499
[274] eval-auc:0.706833 train-auc:0.88073
[275] eval-auc:0.70684 train-auc:0.880732
[276] eval-auc:0.70675 train-auc:0.880827
[277] eval-auc:0.706345 train-auc:0.880886
[278] eval-auc:0.706544 train-auc:0.881345
[279] eval-auc:0.706587 train-auc:0.881601
[280] eval-auc:0.706969 train-auc:0.882096
[281] eval-auc:0.707194 train-auc:0.882593
[282] eval-auc:0.707217 train-auc:0.882931
[283] eval-auc:0.707242 train-auc:0.883155
[284] eval-auc:0.707054 train-auc:0.883294
[285] eval-auc:0.707211 train-auc:0.883565
[286] eval-auc:0.707421 train-auc:0.883832
[287] eval-auc:0.707452 train-auc:0.884389
[288] eval-auc:0.707362 train-auc:0.884461
[289] eval-auc:0.707124 train-auc:0.885169
[290] eval-auc:0.707083 train-auc:0.88553
[291] eval-auc:0.706853 train-auc:0.885592
[292] eval-auc:0.706797 train-auc:0.885745
[293] eval-auc:0.706482 train-auc:0.886523
[294] eval-auc:0.706358 train-auc:0.886696
[295] eval-auc:0.706581 train-auc:0.887067
[296] eval-auc:0.706445 train-auc:0.887118
[297] eval-auc:0.706418 train-auc:0.887072
[298] eval-auc:0.706593 train-auc:0.887387
[299] eval-auc:0.706345 train-auc:0.888026
[300] eval-auc:0.706672 train-auc:0.888651
[301] eval-auc:0.706608 train-auc:0.88875
[302] eval-auc:0.706503 train-auc:0.889169
[303] eval-auc:0.706706 train-auc:0.889527
[304] eval-auc:0.707167 train-auc:0.890062
[305] eval-auc:0.70733 train-auc:0.890213
[306] eval-auc:0.7074 train-auc:0.890541
[307] eval-auc:0.707307 train-auc:0.890565
[308] eval-auc:0.707164 train-auc:0.890767
[309] eval-auc:0.707109 train-auc:0.89085
[310] eval-auc:0.707196 train-auc:0.891022
[311] eval-auc:0.70724 train-auc:0.891352
[312] eval-auc:0.707203 train-auc:0.891389
[313] eval-auc:0.707156 train-auc:0.891388
[314] eval-auc:0.707281 train-auc:0.892008
[315] eval-auc:0.707238 train-auc:0.892047
[316] eval-auc:0.707021 train-auc:0.89211
[317] eval-auc:0.70698 train-auc:0.892206
[318] eval-auc:0.707383 train-auc:0.892592
[319] eval-auc:0.707446 train-auc:0.892758
[320] eval-auc:0.707793 train-auc:0.892988
[321] eval-auc:0.707566 train-auc:0.893576
[322] eval-auc:0.707948 train-auc:0.893951
[323] eval-auc:0.708056 train-auc:0.894076
[324] eval-auc:0.70828 train-auc:0.894399
[325] eval-auc:0.708566 train-auc:0.894663
[326] eval-auc:0.708516 train-auc:0.894711
[327] eval-auc:0.708068 train-auc:0.894756
[328] eval-auc:0.70821 train-auc:0.895201
[329] eval-auc:0.707986 train-auc:0.895621
[330] eval-auc:0.708125 train-auc:0.895817
[331] eval-auc:0.708114 train-auc:0.895982
[332] eval-auc:0.708113 train-auc:0.895984
[333] eval-auc:0.708157 train-auc:0.896118
[334] eval-auc:0.70788 train-auc:0.896179
[335] eval-auc:0.70791 train-auc:0.896241
[336] eval-auc:0.708221 train-auc:0.896534
[337] eval-auc:0.708574 train-auc:0.896728
[338] eval-auc:0.70856 train-auc:0.896822
[339] eval-auc:0.70862 train-auc:0.897106
[340] eval-auc:0.708635 train-auc:0.897117
[341] eval-auc:0.70855 train-auc:0.897424
[342] eval-auc:0.708502 train-auc:0.897426
[343] eval-auc:0.708605 train-auc:0.897637
[344] eval-auc:0.708648 train-auc:0.898057
[345] eval-auc:0.709007 train-auc:0.898209
[346] eval-auc:0.709288 train-auc:0.898455
[347] eval-auc:0.709118 train-auc:0.898463
[348] eval-auc:0.709083 train-auc:0.898985
[349] eval-auc:0.708713 train-auc:0.899192
[350] eval-auc:0.70861 train-auc:0.89932
[351] eval-auc:0.708601 train-auc:0.899824
[352] eval-auc:0.708457 train-auc:0.89986
[353] eval-auc:0.708469 train-auc:0.899862
[354] eval-auc:0.708349 train-auc:0.899929
[355] eval-auc:0.708269 train-auc:0.89998
[356] eval-auc:0.708144 train-auc:0.900474
[357] eval-auc:0.708283 train-auc:0.90088
[358] eval-auc:0.70819 train-auc:0.90093
[359] eval-auc:0.70831 train-auc:0.901231
[360] eval-auc:0.708003 train-auc:0.901379
[361] eval-auc:0.708373 train-auc:0.901615
[362] eval-auc:0.707834 train-auc:0.901746
[363] eval-auc:0.707855 train-auc:0.901922
[364] eval-auc:0.708064 train-auc:0.902039
[365] eval-auc:0.707697 train-auc:0.902096
[366] eval-auc:0.707743 train-auc:0.902196
[367] eval-auc:0.707542 train-auc:0.902519
[368] eval-auc:0.707642 train-auc:0.902634
[369] eval-auc:0.707726 train-auc:0.902763
[370] eval-auc:0.707695 train-auc:0.902837
[371] eval-auc:0.707759 train-auc:0.90314
[372] eval-auc:0.707692 train-auc:0.903409
[373] eval-auc:0.707695 train-auc:0.903409
[374] eval-auc:0.707834 train-auc:0.903639
[375] eval-auc:0.707788 train-auc:0.903731
[376] eval-auc:0.707688 train-auc:0.903923
[377] eval-auc:0.70757 train-auc:0.904203
[378] eval-auc:0.707577 train-auc:0.904152
[379] eval-auc:0.707586 train-auc:0.904152
[380] eval-auc:0.707762 train-auc:0.904298
[381] eval-auc:0.707925 train-auc:0.904417
[382] eval-auc:0.707869 train-auc:0.904561
[383] eval-auc:0.707817 train-auc:0.9048
[384] eval-auc:0.707886 train-auc:0.904859
[385] eval-auc:0.708181 train-auc:0.905147
[386] eval-auc:0.708138 train-auc:0.905267
[387] eval-auc:0.708157 train-auc:0.905405
[388] eval-auc:0.70816 train-auc:0.905487
[389] eval-auc:0.708193 train-auc:0.905787
[390] eval-auc:0.708221 train-auc:0.905887
[391] eval-auc:0.708268 train-auc:0.9063
[392] eval-auc:0.70832 train-auc:0.906991
[393] eval-auc:0.708428 train-auc:0.907006
[394] eval-auc:0.708472 train-auc:0.907366
[395] eval-auc:0.708559 train-auc:0.907548
Score 0.7085586984857898
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.75, 'eta': 0.025, 'eval_metric': 'auc', 'gamma': 0.8, 'max_depth': 3, 'min_child_weight': 1.0, 'n_estimators': 375.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.7000000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.650382 train-auc:0.697607
[1] eval-auc:0.657311 train-auc:0.707168
[2] eval-auc:0.668239 train-auc:0.719705
[3] eval-auc:0.667807 train-auc:0.726823
[4] eval-auc:0.682856 train-auc:0.736385
[5] eval-auc:0.682336 train-auc:0.729512
[6] eval-auc:0.68378 train-auc:0.734043
[7] eval-auc:0.683841 train-auc:0.734576
[8] eval-auc:0.690534 train-auc:0.739325
[9] eval-auc:0.690972 train-auc:0.737405
[10] eval-auc:0.689262 train-auc:0.739145
[11] eval-auc:0.686239 train-auc:0.739301
[12] eval-auc:0.687326 train-auc:0.738006
[13] eval-auc:0.689875 train-auc:0.738035
[14] eval-auc:0.690453 train-auc:0.7372
[15] eval-auc:0.689814 train-auc:0.738396
[16] eval-auc:0.688319 train-auc:0.738009
[17] eval-auc:0.688893 train-auc:0.739661
[18] eval-auc:0.688855 train-auc:0.742278
[19] eval-auc:0.68999 train-auc:0.744064
[20] eval-auc:0.690756 train-auc:0.742525
[21] eval-auc:0.69032 train-auc:0.743436
[22] eval-auc:0.692174 train-auc:0.744026
[23] eval-auc:0.693133 train-auc:0.74434
[24] eval-auc:0.693657 train-auc:0.745445
[25] eval-auc:0.693206 train-auc:0.745386
[26] eval-auc:0.693245 train-auc:0.744567
[27] eval-auc:0.693347 train-auc:0.746152
[28] eval-auc:0.695164 train-auc:0.745286
[29] eval-auc:0.696075 train-auc:0.745342
[30] eval-auc:0.695086 train-auc:0.745714
[31] eval-auc:0.694833 train-auc:0.745293
[32] eval-auc:0.694968 train-auc:0.7452
[33] eval-auc:0.69505 train-auc:0.744843
[34] eval-auc:0.695599 train-auc:0.74535
[35] eval-auc:0.696408 train-auc:0.74588
[36] eval-auc:0.696403 train-auc:0.745686
[37] eval-auc:0.697542 train-auc:0.74605
[38] eval-auc:0.69848 train-auc:0.746063
[39] eval-auc:0.699096 train-auc:0.746182
[40] eval-auc:0.698593 train-auc:0.74566
[41] eval-auc:0.698729 train-auc:0.746053
[42] eval-auc:0.698512 train-auc:0.745946
[43] eval-auc:0.699074 train-auc:0.746286
[44] eval-auc:0.699071 train-auc:0.746689
[45] eval-auc:0.699667 train-auc:0.747214
[46] eval-auc:0.699748 train-auc:0.747771
[47] eval-auc:0.700801 train-auc:0.748327
[48] eval-auc:0.70065 train-auc:0.747718
[49] eval-auc:0.700167 train-auc:0.747821
[50] eval-auc:0.700202 train-auc:0.748098
[51] eval-auc:0.69983 train-auc:0.748291
[52] eval-auc:0.699204 train-auc:0.749403
[53] eval-auc:0.69907 train-auc:0.750036
[54] eval-auc:0.698872 train-auc:0.750279
[55] eval-auc:0.698606 train-auc:0.750954
[56] eval-auc:0.69795 train-auc:0.751794
[57] eval-auc:0.697829 train-auc:0.75254
[58] eval-auc:0.698671 train-auc:0.752599
[59] eval-auc:0.698112 train-auc:0.753126
[60] eval-auc:0.697791 train-auc:0.754223
[61] eval-auc:0.697563 train-auc:0.753728
[62] eval-auc:0.698062 train-auc:0.753704
[63] eval-auc:0.698244 train-auc:0.754615
[64] eval-auc:0.697709 train-auc:0.755295
[65] eval-auc:0.697892 train-auc:0.755327
[66] eval-auc:0.697271 train-auc:0.755534
[67] eval-auc:0.697218 train-auc:0.756233
[68] eval-auc:0.697399 train-auc:0.756591
[69] eval-auc:0.697582 train-auc:0.757264
[70] eval-auc:0.697597 train-auc:0.758364
[71] eval-auc:0.697434 train-auc:0.758352
[72] eval-auc:0.696745 train-auc:0.758061
[73] eval-auc:0.696091 train-auc:0.758285
[74] eval-auc:0.696987 train-auc:0.759004
[75] eval-auc:0.696742 train-auc:0.759121
[76] eval-auc:0.696505 train-auc:0.758985
[77] eval-auc:0.695906 train-auc:0.759641
[78] eval-auc:0.696707 train-auc:0.759362
[79] eval-auc:0.696339 train-auc:0.759519
[80] eval-auc:0.696534 train-auc:0.760417
[81] eval-auc:0.696308 train-auc:0.760354
[82] eval-auc:0.696567 train-auc:0.760535
[83] eval-auc:0.695915 train-auc:0.761
[84] eval-auc:0.695929 train-auc:0.762253
[85] eval-auc:0.695861 train-auc:0.762617
[86] eval-auc:0.695743 train-auc:0.763333
[87] eval-auc:0.695905 train-auc:0.764396
[88] eval-auc:0.695836 train-auc:0.764653
[89] eval-auc:0.696024 train-auc:0.76459
[90] eval-auc:0.69617 train-auc:0.764439
[91] eval-auc:0.6961 train-auc:0.765305
[92] eval-auc:0.695746 train-auc:0.765642
[93] eval-auc:0.696008 train-auc:0.766483
[94] eval-auc:0.695987 train-auc:0.767609
[95] eval-auc:0.695748 train-auc:0.768086
[96] eval-auc:0.69608 train-auc:0.768661
[97] eval-auc:0.69595 train-auc:0.768725
[98] eval-auc:0.695914 train-auc:0.769101
[99] eval-auc:0.695523 train-auc:0.76934
[100] eval-auc:0.695826 train-auc:0.769167
[101] eval-auc:0.695974 train-auc:0.768985
[102] eval-auc:0.696022 train-auc:0.769395
[103] eval-auc:0.695853 train-auc:0.770127
[104] eval-auc:0.69593 train-auc:0.770174
[105] eval-auc:0.695702 train-auc:0.770313
[106] eval-auc:0.695587 train-auc:0.771434
[107] eval-auc:0.695958 train-auc:0.771213
[108] eval-auc:0.696167 train-auc:0.771446
[109] eval-auc:0.69629 train-auc:0.772249
[110] eval-auc:0.696037 train-auc:0.772617
[111] eval-auc:0.695958 train-auc:0.773301
[112] eval-auc:0.696252 train-auc:0.773933
[113] eval-auc:0.696835 train-auc:0.773736
[114] eval-auc:0.696888 train-auc:0.773737
[115] eval-auc:0.696601 train-auc:0.774047
[116] eval-auc:0.696337 train-auc:0.774192
[117] eval-auc:0.696324 train-auc:0.774478
[118] eval-auc:0.69645 train-auc:0.774567
[119] eval-auc:0.696969 train-auc:0.774971
[120] eval-auc:0.69687 train-auc:0.774965
[121] eval-auc:0.696887 train-auc:0.775682
[122] eval-auc:0.696885 train-auc:0.776434
[123] eval-auc:0.697154 train-auc:0.776825
[124] eval-auc:0.697151 train-auc:0.776853
[125] eval-auc:0.697485 train-auc:0.776752
[126] eval-auc:0.697615 train-auc:0.776926
[127] eval-auc:0.697376 train-auc:0.777075
[128] eval-auc:0.697648 train-auc:0.777658
[129] eval-auc:0.697849 train-auc:0.777956
[130] eval-auc:0.697712 train-auc:0.778763
[131] eval-auc:0.698257 train-auc:0.779076
[132] eval-auc:0.69827 train-auc:0.779394
[133] eval-auc:0.698338 train-auc:0.779482
[134] eval-auc:0.698265 train-auc:0.77962
[135] eval-auc:0.698062 train-auc:0.780241
[136] eval-auc:0.698328 train-auc:0.780794
[137] eval-auc:0.697709 train-auc:0.78097
[138] eval-auc:0.697822 train-auc:0.781164
[139] eval-auc:0.69798 train-auc:0.781048
[140] eval-auc:0.697464 train-auc:0.781749
[141] eval-auc:0.697523 train-auc:0.782001
[142] eval-auc:0.697172 train-auc:0.782257
[143] eval-auc:0.697111 train-auc:0.78264
[144] eval-auc:0.697443 train-auc:0.782779
[145] eval-auc:0.69759 train-auc:0.782792
[146] eval-auc:0.697329 train-auc:0.783373
[147] eval-auc:0.697364 train-auc:0.782927
[148] eval-auc:0.697606 train-auc:0.78322
[149] eval-auc:0.697479 train-auc:0.783074
[150] eval-auc:0.697345 train-auc:0.783447
[151] eval-auc:0.697376 train-auc:0.783902
[152] eval-auc:0.697956 train-auc:0.783824
[153] eval-auc:0.697675 train-auc:0.784413
[154] eval-auc:0.698028 train-auc:0.784844
[155] eval-auc:0.698249 train-auc:0.785748
[156] eval-auc:0.698354 train-auc:0.785867
[157] eval-auc:0.698525 train-auc:0.785948
[158] eval-auc:0.698524 train-auc:0.786241
[159] eval-auc:0.698466 train-auc:0.787056
[160] eval-auc:0.698452 train-auc:0.787444
[161] eval-auc:0.698343 train-auc:0.787667
[162] eval-auc:0.698257 train-auc:0.787963
[163] eval-auc:0.697874 train-auc:0.788449
[164] eval-auc:0.697887 train-auc:0.788796
[165] eval-auc:0.697697 train-auc:0.789422
[166] eval-auc:0.697555 train-auc:0.789719
[167] eval-auc:0.697592 train-auc:0.789906
[168] eval-auc:0.697676 train-auc:0.790117
[169] eval-auc:0.697302 train-auc:0.790246
[170] eval-auc:0.697439 train-auc:0.790305
[171] eval-auc:0.69761 train-auc:0.790696
[172] eval-auc:0.69759 train-auc:0.790736
[173] eval-auc:0.697516 train-auc:0.791008
[174] eval-auc:0.697214 train-auc:0.791454
[175] eval-auc:0.697502 train-auc:0.791792
[176] eval-auc:0.697478 train-auc:0.791807
[177] eval-auc:0.697942 train-auc:0.792442
[178] eval-auc:0.698254 train-auc:0.793138
[179] eval-auc:0.698362 train-auc:0.793725
[180] eval-auc:0.698311 train-auc:0.79377
[181] eval-auc:0.698739 train-auc:0.794253
[182] eval-auc:0.698708 train-auc:0.794331
[183] eval-auc:0.698633 train-auc:0.794707
[184] eval-auc:0.698458 train-auc:0.794853
[185] eval-auc:0.698557 train-auc:0.795211
[186] eval-auc:0.698661 train-auc:0.795594
[187] eval-auc:0.698792 train-auc:0.79572
[188] eval-auc:0.698874 train-auc:0.795758
[189] eval-auc:0.699192 train-auc:0.796354
[190] eval-auc:0.699302 train-auc:0.796587
[191] eval-auc:0.699678 train-auc:0.797002
[192] eval-auc:0.699789 train-auc:0.797017
[193] eval-auc:0.699593 train-auc:0.797519
[194] eval-auc:0.699846 train-auc:0.797666
[195] eval-auc:0.699951 train-auc:0.798128
[196] eval-auc:0.700272 train-auc:0.798839
[197] eval-auc:0.70049 train-auc:0.798862
[198] eval-auc:0.700394 train-auc:0.799453
[199] eval-auc:0.700312 train-auc:0.799745
[200] eval-auc:0.699962 train-auc:0.800225
[201] eval-auc:0.700021 train-auc:0.800341
[202] eval-auc:0.699999 train-auc:0.800232
[203] eval-auc:0.699992 train-auc:0.800641
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[207] eval-auc:0.699943 train-auc:0.802019
[208] eval-auc:0.700009 train-auc:0.802345
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[270] eval-auc:0.703001 train-auc:0.82146
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[279] eval-auc:0.703185 train-auc:0.82325
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[281] eval-auc:0.70311 train-auc:0.823966
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[284] eval-auc:0.70292 train-auc:0.824954
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[288] eval-auc:0.702323 train-auc:0.826666
[289] eval-auc:0.702459 train-auc:0.826689
[290] eval-auc:0.702344 train-auc:0.827429
[291] eval-auc:0.702167 train-auc:0.827874
[292] eval-auc:0.702268 train-auc:0.828458
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[294] eval-auc:0.70239 train-auc:0.828749
[295] eval-auc:0.702471 train-auc:0.829143
[296] eval-auc:0.702899 train-auc:0.829244
[297] eval-auc:0.702856 train-auc:0.829669
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[300] eval-auc:0.7023 train-auc:0.830895
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[314] eval-auc:0.701193 train-auc:0.835976
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[323] eval-auc:0.701301 train-auc:0.838434
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[325] eval-auc:0.70138 train-auc:0.839265
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[328] eval-auc:0.701824 train-auc:0.840072
[329] eval-auc:0.701758 train-auc:0.840282
[330] eval-auc:0.701962 train-auc:0.840692
[331] eval-auc:0.702096 train-auc:0.840974
[332] eval-auc:0.702194 train-auc:0.840968
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[334] eval-auc:0.702207 train-auc:0.841708
[335] eval-auc:0.702322 train-auc:0.841786
[336] eval-auc:0.702407 train-auc:0.842172
[337] eval-auc:0.702128 train-auc:0.842669
[338] eval-auc:0.702162 train-auc:0.84337
[339] eval-auc:0.702113 train-auc:0.843484
[340] eval-auc:0.701898 train-auc:0.843909
[341] eval-auc:0.701964 train-auc:0.844079
[342] eval-auc:0.70183 train-auc:0.844229
[343] eval-auc:0.702189 train-auc:0.84428
[344] eval-auc:0.702248 train-auc:0.844278
[345] eval-auc:0.702138 train-auc:0.844527
[346] eval-auc:0.702002 train-auc:0.844642
[347] eval-auc:0.702256 train-auc:0.845021
[348] eval-auc:0.702337 train-auc:0.84517
[349] eval-auc:0.702681 train-auc:0.845419
[350] eval-auc:0.702769 train-auc:0.84558
[351] eval-auc:0.703025 train-auc:0.845541
[352] eval-auc:0.702865 train-auc:0.845654
[353] eval-auc:0.702736 train-auc:0.846067
[354] eval-auc:0.702622 train-auc:0.846338
[355] eval-auc:0.70235 train-auc:0.846633
[356] eval-auc:0.702121 train-auc:0.846927
[357] eval-auc:0.702178 train-auc:0.847264
[358] eval-auc:0.702382 train-auc:0.847688
[359] eval-auc:0.702398 train-auc:0.848049
[360] eval-auc:0.702815 train-auc:0.848511
[361] eval-auc:0.702721 train-auc:0.848544
[362] eval-auc:0.70248 train-auc:0.848662
[363] eval-auc:0.702203 train-auc:0.848967
[364] eval-auc:0.702551 train-auc:0.848955
[365] eval-auc:0.702728 train-auc:0.849247
[366] eval-auc:0.702874 train-auc:0.849442
[367] eval-auc:0.702713 train-auc:0.849519
[368] eval-auc:0.702792 train-auc:0.849832
[369] eval-auc:0.702839 train-auc:0.850066
[370] eval-auc:0.702727 train-auc:0.850497
[371] eval-auc:0.702876 train-auc:0.850646
[372] eval-auc:0.703001 train-auc:0.850767
[373] eval-auc:0.702958 train-auc:0.850635
[374] eval-auc:0.702856 train-auc:0.851071
Score 0.7028560464861309
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8500000000000001, 'eta': 0.05, 'eval_metric': 'auc', 'gamma': 0.8500000000000001, 'max_depth': 3, 'min_child_weight': 1.0, 'n_estimators': 529.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.8, 'tree_method': 'exact'}
[0] eval-auc:0.69871 train-auc:0.720697
[1] eval-auc:0.695015 train-auc:0.727137
[2] eval-auc:0.694844 train-auc:0.729327
[3] eval-auc:0.69484 train-auc:0.733201
[4] eval-auc:0.693462 train-auc:0.73618
[5] eval-auc:0.695293 train-auc:0.743698
[6] eval-auc:0.696044 train-auc:0.744627
[7] eval-auc:0.698866 train-auc:0.745927
[8] eval-auc:0.702755 train-auc:0.747223
[9] eval-auc:0.706338 train-auc:0.745455
[10] eval-auc:0.705061 train-auc:0.746698
[11] eval-auc:0.704434 train-auc:0.748892
[12] eval-auc:0.703266 train-auc:0.746727
[13] eval-auc:0.704057 train-auc:0.746143
[14] eval-auc:0.703866 train-auc:0.744681
[15] eval-auc:0.702417 train-auc:0.746444
[16] eval-auc:0.701275 train-auc:0.748308
[17] eval-auc:0.700147 train-auc:0.750895
[18] eval-auc:0.698552 train-auc:0.752141
[19] eval-auc:0.698409 train-auc:0.75328
[20] eval-auc:0.699032 train-auc:0.752156
[21] eval-auc:0.698681 train-auc:0.754203
[22] eval-auc:0.698093 train-auc:0.755642
[23] eval-auc:0.697804 train-auc:0.756386
[24] eval-auc:0.69701 train-auc:0.758591
[25] eval-auc:0.698874 train-auc:0.760625
[26] eval-auc:0.698691 train-auc:0.761234
[27] eval-auc:0.699892 train-auc:0.763713
[28] eval-auc:0.699699 train-auc:0.762037
[29] eval-auc:0.700008 train-auc:0.762161
[30] eval-auc:0.699423 train-auc:0.764092
[31] eval-auc:0.699682 train-auc:0.764909
[32] eval-auc:0.701058 train-auc:0.766718
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[34] eval-auc:0.700571 train-auc:0.769784
[35] eval-auc:0.700026 train-auc:0.772037
[36] eval-auc:0.700806 train-auc:0.772543
[37] eval-auc:0.701224 train-auc:0.771975
[38] eval-auc:0.701921 train-auc:0.772142
[39] eval-auc:0.703284 train-auc:0.772671
[40] eval-auc:0.702539 train-auc:0.773386
[41] eval-auc:0.703784 train-auc:0.773798
[42] eval-auc:0.704189 train-auc:0.774121
[43] eval-auc:0.704352 train-auc:0.77562
[44] eval-auc:0.704801 train-auc:0.775203
[45] eval-auc:0.70478 train-auc:0.776462
[46] eval-auc:0.704733 train-auc:0.777652
[47] eval-auc:0.70529 train-auc:0.778313
[48] eval-auc:0.704897 train-auc:0.779306
[49] eval-auc:0.704959 train-auc:0.779575
[50] eval-auc:0.704648 train-auc:0.78097
[51] eval-auc:0.704597 train-auc:0.7825
[52] eval-auc:0.703674 train-auc:0.784055
[53] eval-auc:0.703796 train-auc:0.786557
[54] eval-auc:0.703572 train-auc:0.787417
[55] eval-auc:0.703737 train-auc:0.789702
[56] eval-auc:0.703448 train-auc:0.789885
[57] eval-auc:0.703498 train-auc:0.79013
[58] eval-auc:0.702895 train-auc:0.790837
[59] eval-auc:0.702376 train-auc:0.790156
[60] eval-auc:0.703413 train-auc:0.79056
[61] eval-auc:0.703643 train-auc:0.789957
[62] eval-auc:0.703783 train-auc:0.790155
[63] eval-auc:0.703405 train-auc:0.791223
[64] eval-auc:0.703265 train-auc:0.791382
[65] eval-auc:0.703315 train-auc:0.791298
[66] eval-auc:0.702856 train-auc:0.792038
[67] eval-auc:0.702618 train-auc:0.793134
[68] eval-auc:0.703869 train-auc:0.794919
[69] eval-auc:0.703691 train-auc:0.79611
[70] eval-auc:0.70303 train-auc:0.796602
[71] eval-auc:0.70296 train-auc:0.7981
[72] eval-auc:0.703438 train-auc:0.798744
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[74] eval-auc:0.7034 train-auc:0.800119
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[76] eval-auc:0.703381 train-auc:0.800818
[77] eval-auc:0.70268 train-auc:0.801952
[78] eval-auc:0.702187 train-auc:0.802293
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[80] eval-auc:0.703248 train-auc:0.803412
[81] eval-auc:0.703155 train-auc:0.804733
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[85] eval-auc:0.703716 train-auc:0.8072
[86] eval-auc:0.7032 train-auc:0.808464
[87] eval-auc:0.702894 train-auc:0.809535
[88] eval-auc:0.703416 train-auc:0.810227
[89] eval-auc:0.70345 train-auc:0.810816
[90] eval-auc:0.70336 train-auc:0.810933
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[100] eval-auc:0.702714 train-auc:0.81627
[101] eval-auc:0.70296 train-auc:0.816928
[102] eval-auc:0.702944 train-auc:0.818295
[103] eval-auc:0.702957 train-auc:0.818179
[104] eval-auc:0.702181 train-auc:0.818934
[105] eval-auc:0.70259 train-auc:0.81966
[106] eval-auc:0.701382 train-auc:0.820454
[107] eval-auc:0.701764 train-auc:0.821647
[108] eval-auc:0.701696 train-auc:0.821802
[109] eval-auc:0.701327 train-auc:0.822575
[110] eval-auc:0.701044 train-auc:0.823067
[111] eval-auc:0.700793 train-auc:0.823622
[112] eval-auc:0.70153 train-auc:0.824221
[113] eval-auc:0.701068 train-auc:0.824712
[114] eval-auc:0.701332 train-auc:0.825276
[115] eval-auc:0.702312 train-auc:0.82685
[116] eval-auc:0.702516 train-auc:0.826798
[117] eval-auc:0.702667 train-auc:0.827515
[118] eval-auc:0.703008 train-auc:0.827829
[119] eval-auc:0.703194 train-auc:0.828402
[120] eval-auc:0.70311 train-auc:0.828816
[121] eval-auc:0.703333 train-auc:0.829226
[122] eval-auc:0.703873 train-auc:0.829839
[123] eval-auc:0.703767 train-auc:0.83085
[124] eval-auc:0.703732 train-auc:0.831776
[125] eval-auc:0.703844 train-auc:0.832084
[126] eval-auc:0.703395 train-auc:0.833423
[127] eval-auc:0.703083 train-auc:0.833944
[128] eval-auc:0.703783 train-auc:0.835521
[129] eval-auc:0.703918 train-auc:0.836048
[130] eval-auc:0.703633 train-auc:0.836635
[131] eval-auc:0.703342 train-auc:0.837076
[132] eval-auc:0.703188 train-auc:0.838051
[133] eval-auc:0.703307 train-auc:0.838649
[134] eval-auc:0.703646 train-auc:0.83903
[135] eval-auc:0.703467 train-auc:0.839555
[136] eval-auc:0.703459 train-auc:0.839504
[137] eval-auc:0.703247 train-auc:0.840102
[138] eval-auc:0.703424 train-auc:0.840783
[139] eval-auc:0.703299 train-auc:0.841003
[140] eval-auc:0.703631 train-auc:0.841139
[141] eval-auc:0.703479 train-auc:0.841384
[142] eval-auc:0.703722 train-auc:0.841895
[143] eval-auc:0.703598 train-auc:0.842806
[144] eval-auc:0.703835 train-auc:0.843104
[145] eval-auc:0.704263 train-auc:0.843416
[146] eval-auc:0.704226 train-auc:0.843945
[147] eval-auc:0.703809 train-auc:0.844341
[148] eval-auc:0.703814 train-auc:0.845106
[149] eval-auc:0.704089 train-auc:0.8457
[150] eval-auc:0.703834 train-auc:0.846337
[151] eval-auc:0.703866 train-auc:0.846171
[152] eval-auc:0.704578 train-auc:0.846438
[153] eval-auc:0.704357 train-auc:0.846863
[154] eval-auc:0.704756 train-auc:0.84729
[155] eval-auc:0.705035 train-auc:0.847715
[156] eval-auc:0.705218 train-auc:0.848389
[157] eval-auc:0.705171 train-auc:0.848834
[158] eval-auc:0.704664 train-auc:0.849303
[159] eval-auc:0.704744 train-auc:0.84953
[160] eval-auc:0.704549 train-auc:0.850219
[161] eval-auc:0.704476 train-auc:0.85043
[162] eval-auc:0.704514 train-auc:0.850882
[163] eval-auc:0.703716 train-auc:0.851642
[164] eval-auc:0.7037 train-auc:0.851848
[165] eval-auc:0.703608 train-auc:0.852019
[166] eval-auc:0.703747 train-auc:0.852683
[167] eval-auc:0.703923 train-auc:0.85296
[168] eval-auc:0.703447 train-auc:0.852783
[169] eval-auc:0.704027 train-auc:0.852719
[170] eval-auc:0.703998 train-auc:0.852977
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[173] eval-auc:0.7038 train-auc:0.854305
[174] eval-auc:0.703902 train-auc:0.855232
[175] eval-auc:0.703648 train-auc:0.855729
[176] eval-auc:0.703506 train-auc:0.855819
[177] eval-auc:0.704223 train-auc:0.856612
[178] eval-auc:0.704233 train-auc:0.857384
[179] eval-auc:0.70484 train-auc:0.858095
[180] eval-auc:0.70504 train-auc:0.858405
[181] eval-auc:0.705081 train-auc:0.859563
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[183] eval-auc:0.704982 train-auc:0.859461
[184] eval-auc:0.705076 train-auc:0.859767
[185] eval-auc:0.705437 train-auc:0.860087
[186] eval-auc:0.70532 train-auc:0.860469
[187] eval-auc:0.705506 train-auc:0.861129
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[285] eval-auc:0.70909 train-auc:0.894118
[286] eval-auc:0.709207 train-auc:0.894186
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[288] eval-auc:0.709133 train-auc:0.894688
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[290] eval-auc:0.709102 train-auc:0.895173
[291] eval-auc:0.708811 train-auc:0.895517
[292] eval-auc:0.709226 train-auc:0.895685
[293] eval-auc:0.709146 train-auc:0.895481
[294] eval-auc:0.709188 train-auc:0.895371
[295] eval-auc:0.709175 train-auc:0.895596
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[319] eval-auc:0.708609 train-auc:0.899589
[320] eval-auc:0.7086 train-auc:0.89992
[321] eval-auc:0.709055 train-auc:0.900298
[322] eval-auc:0.709317 train-auc:0.900351
[323] eval-auc:0.709469 train-auc:0.900627
[324] eval-auc:0.709513 train-auc:0.900759
[325] eval-auc:0.70937 train-auc:0.900619
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[327] eval-auc:0.709426 train-auc:0.901733
[328] eval-auc:0.709465 train-auc:0.902462
[329] eval-auc:0.709236 train-auc:0.903064
[330] eval-auc:0.708773 train-auc:0.902923
[331] eval-auc:0.708898 train-auc:0.903284
[332] eval-auc:0.708833 train-auc:0.903631
[333] eval-auc:0.708508 train-auc:0.903872
[334] eval-auc:0.70853 train-auc:0.903966
[335] eval-auc:0.709009 train-auc:0.904073
[336] eval-auc:0.708871 train-auc:0.904478
[337] eval-auc:0.708735 train-auc:0.9045
[338] eval-auc:0.708691 train-auc:0.904782
[339] eval-auc:0.708578 train-auc:0.904915
[340] eval-auc:0.708638 train-auc:0.905208
[341] eval-auc:0.708496 train-auc:0.905335
[342] eval-auc:0.708429 train-auc:0.905496
[343] eval-auc:0.708368 train-auc:0.905813
[344] eval-auc:0.708003 train-auc:0.906257
[345] eval-auc:0.707966 train-auc:0.906374
[346] eval-auc:0.707953 train-auc:0.906364
[347] eval-auc:0.708053 train-auc:0.906226
[348] eval-auc:0.708455 train-auc:0.906788
[349] eval-auc:0.708655 train-auc:0.907061
[350] eval-auc:0.708423 train-auc:0.9073
[351] eval-auc:0.708642 train-auc:0.908013
[352] eval-auc:0.708292 train-auc:0.908439
[353] eval-auc:0.708152 train-auc:0.908503
[354] eval-auc:0.708039 train-auc:0.908548
[355] eval-auc:0.708068 train-auc:0.90887
[356] eval-auc:0.708049 train-auc:0.909186
[357] eval-auc:0.708202 train-auc:0.909381
[358] eval-auc:0.70828 train-auc:0.910204
[359] eval-auc:0.708406 train-auc:0.910209
[360] eval-auc:0.708598 train-auc:0.910559
[361] eval-auc:0.708271 train-auc:0.910773
[362] eval-auc:0.708266 train-auc:0.910917
[363] eval-auc:0.708434 train-auc:0.910972
[364] eval-auc:0.708339 train-auc:0.910984
[365] eval-auc:0.708007 train-auc:0.911353
[366] eval-auc:0.70835 train-auc:0.911204
[367] eval-auc:0.708265 train-auc:0.911215
[368] eval-auc:0.708511 train-auc:0.911531
[369] eval-auc:0.708463 train-auc:0.911599
[370] eval-auc:0.708314 train-auc:0.911679
[371] eval-auc:0.708266 train-auc:0.912056
[372] eval-auc:0.708346 train-auc:0.912189
[373] eval-auc:0.7083 train-auc:0.912146
[374] eval-auc:0.708857 train-auc:0.912409
[375] eval-auc:0.708961 train-auc:0.912793
[376] eval-auc:0.70847 train-auc:0.912838
[377] eval-auc:0.708595 train-auc:0.913002
[378] eval-auc:0.708367 train-auc:0.91336
[379] eval-auc:0.708242 train-auc:0.91339
[380] eval-auc:0.708419 train-auc:0.913687
[381] eval-auc:0.708119 train-auc:0.913925
[382] eval-auc:0.707998 train-auc:0.914268
[383] eval-auc:0.707988 train-auc:0.914528
[384] eval-auc:0.707892 train-auc:0.914485
[385] eval-auc:0.707878 train-auc:0.914687
[386] eval-auc:0.707726 train-auc:0.915052
[387] eval-auc:0.707404 train-auc:0.915391
[388] eval-auc:0.707156 train-auc:0.915357
[389] eval-auc:0.707273 train-auc:0.9156
[390] eval-auc:0.70727 train-auc:0.915535
[391] eval-auc:0.706792 train-auc:0.915731
[392] eval-auc:0.707254 train-auc:0.915792
[393] eval-auc:0.707526 train-auc:0.915952
[394] eval-auc:0.707709 train-auc:0.916223
[395] eval-auc:0.707676 train-auc:0.916443
[396] eval-auc:0.707866 train-auc:0.916313
[397] eval-auc:0.707939 train-auc:0.916484
[398] eval-auc:0.707566 train-auc:0.916626
[399] eval-auc:0.707564 train-auc:0.916535
[400] eval-auc:0.707289 train-auc:0.916358
[401] eval-auc:0.707447 train-auc:0.916763
[402] eval-auc:0.707254 train-auc:0.91685
[403] eval-auc:0.707411 train-auc:0.917463
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[407] eval-auc:0.708199 train-auc:0.918521
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[410] eval-auc:0.708131 train-auc:0.918871
[411] eval-auc:0.707953 train-auc:0.918833
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[415] eval-auc:0.70763 train-auc:0.919581
[416] eval-auc:0.707624 train-auc:0.919742
[417] eval-auc:0.707749 train-auc:0.919754
[418] eval-auc:0.707409 train-auc:0.92008
[419] eval-auc:0.707659 train-auc:0.920115
[420] eval-auc:0.707744 train-auc:0.92035
[421] eval-auc:0.707816 train-auc:0.920337
[422] eval-auc:0.707922 train-auc:0.920495
[423] eval-auc:0.707936 train-auc:0.920864
[424] eval-auc:0.708099 train-auc:0.920806
[425] eval-auc:0.708172 train-auc:0.921184
[426] eval-auc:0.708277 train-auc:0.921356
[427] eval-auc:0.708582 train-auc:0.921499
[428] eval-auc:0.708807 train-auc:0.921588
[429] eval-auc:0.70884 train-auc:0.921744
[430] eval-auc:0.708499 train-auc:0.92203
[431] eval-auc:0.70849 train-auc:0.922206
[432] eval-auc:0.708146 train-auc:0.92217
[433] eval-auc:0.708111 train-auc:0.922365
[434] eval-auc:0.708233 train-auc:0.922363
[435] eval-auc:0.708376 train-auc:0.92259
[436] eval-auc:0.708084 train-auc:0.922729
[437] eval-auc:0.708178 train-auc:0.923161
[438] eval-auc:0.708505 train-auc:0.923788
[439] eval-auc:0.708076 train-auc:0.923815
[440] eval-auc:0.707586 train-auc:0.924054
[441] eval-auc:0.707771 train-auc:0.924347
[442] eval-auc:0.708394 train-auc:0.924906
[443] eval-auc:0.708763 train-auc:0.925296
[444] eval-auc:0.708615 train-auc:0.925695
[445] eval-auc:0.708636 train-auc:0.925884
[446] eval-auc:0.708732 train-auc:0.925851
[447] eval-auc:0.708914 train-auc:0.926048
[448] eval-auc:0.708962 train-auc:0.926121
[449] eval-auc:0.708997 train-auc:0.926199
[450] eval-auc:0.708856 train-auc:0.926205
[451] eval-auc:0.708909 train-auc:0.926203
[452] eval-auc:0.709058 train-auc:0.926269
[453] eval-auc:0.70922 train-auc:0.926314
[454] eval-auc:0.709177 train-auc:0.926316
[455] eval-auc:0.709125 train-auc:0.926444
[456] eval-auc:0.709057 train-auc:0.926607
[457] eval-auc:0.709055 train-auc:0.92682
[458] eval-auc:0.70872 train-auc:0.926973
[459] eval-auc:0.708623 train-auc:0.927361
[460] eval-auc:0.708665 train-auc:0.927463
[461] eval-auc:0.708848 train-auc:0.927438
[462] eval-auc:0.708885 train-auc:0.927513
[463] eval-auc:0.708563 train-auc:0.927602
[464] eval-auc:0.708662 train-auc:0.927933
[465] eval-auc:0.708575 train-auc:0.928054
[466] eval-auc:0.708691 train-auc:0.928075
[467] eval-auc:0.708725 train-auc:0.92827
[468] eval-auc:0.708708 train-auc:0.928414
[469] eval-auc:0.708656 train-auc:0.92832
[470] eval-auc:0.708449 train-auc:0.928427
[471] eval-auc:0.708291 train-auc:0.928547
[472] eval-auc:0.70817 train-auc:0.928454
[473] eval-auc:0.708067 train-auc:0.928616
[474] eval-auc:0.708035 train-auc:0.928822
[475] eval-auc:0.708326 train-auc:0.928946
[476] eval-auc:0.708432 train-auc:0.929067
[477] eval-auc:0.70844 train-auc:0.92915
[478] eval-auc:0.708677 train-auc:0.929443
[479] eval-auc:0.708603 train-auc:0.929533
[480] eval-auc:0.708444 train-auc:0.929604
[481] eval-auc:0.708402 train-auc:0.929874
[482] eval-auc:0.708661 train-auc:0.929999
[483] eval-auc:0.70858 train-auc:0.929969
[484] eval-auc:0.708767 train-auc:0.930187
[485] eval-auc:0.708629 train-auc:0.930529
[486] eval-auc:0.7087 train-auc:0.930579
[487] eval-auc:0.708839 train-auc:0.930752
[488] eval-auc:0.709016 train-auc:0.930883
[489] eval-auc:0.708926 train-auc:0.931036
[490] eval-auc:0.708927 train-auc:0.931109
[491] eval-auc:0.70886 train-auc:0.931139
[492] eval-auc:0.709001 train-auc:0.931276
[493] eval-auc:0.708795 train-auc:0.931452
[494] eval-auc:0.708924 train-auc:0.931587
[495] eval-auc:0.708958 train-auc:0.93167
[496] eval-auc:0.709143 train-auc:0.931993
[497] eval-auc:0.709411 train-auc:0.932194
[498] eval-auc:0.70945 train-auc:0.932314
[499] eval-auc:0.70934 train-auc:0.932478
[500] eval-auc:0.709296 train-auc:0.932504
[501] eval-auc:0.70936 train-auc:0.932674
[502] eval-auc:0.709312 train-auc:0.932687
[503] eval-auc:0.709183 train-auc:0.932819
[504] eval-auc:0.709171 train-auc:0.933053
[505] eval-auc:0.709378 train-auc:0.933301
[506] eval-auc:0.709445 train-auc:0.933519
[507] eval-auc:0.709582 train-auc:0.933759
[508] eval-auc:0.709699 train-auc:0.933986
[509] eval-auc:0.709733 train-auc:0.934118
[510] eval-auc:0.709853 train-auc:0.934325
[511] eval-auc:0.709573 train-auc:0.93461
[512] eval-auc:0.709376 train-auc:0.934573
[513] eval-auc:0.709533 train-auc:0.934814
[514] eval-auc:0.709579 train-auc:0.934723
[515] eval-auc:0.709582 train-auc:0.934959
[516] eval-auc:0.709552 train-auc:0.935097
[517] eval-auc:0.709588 train-auc:0.93518
[518] eval-auc:0.709602 train-auc:0.935222
[519] eval-auc:0.709666 train-auc:0.935496
[520] eval-auc:0.709446 train-auc:0.935476
[521] eval-auc:0.709256 train-auc:0.935508
[522] eval-auc:0.709376 train-auc:0.935526
[523] eval-auc:0.709265 train-auc:0.935582
[524] eval-auc:0.70909 train-auc:0.935633
[525] eval-auc:0.70892 train-auc:0.935825
[526] eval-auc:0.708948 train-auc:0.935694
[527] eval-auc:0.709087 train-auc:0.935888
[528] eval-auc:0.709271 train-auc:0.936011
Score 0.7092713396435576
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8, 'eta': 0.025, 'eval_metric': 'auc', 'gamma': 0.8, 'max_depth': 3, 'min_child_weight': 1.0, 'n_estimators': 463.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.702485 train-auc:0.723761
[1] eval-auc:0.684266 train-auc:0.727677
[2] eval-auc:0.684061 train-auc:0.727967
[3] eval-auc:0.696371 train-auc:0.728367
[4] eval-auc:0.696566 train-auc:0.724318
[5] eval-auc:0.704319 train-auc:0.731854
[6] eval-auc:0.708228 train-auc:0.732718
[7] eval-auc:0.708374 train-auc:0.734689
[8] eval-auc:0.700032 train-auc:0.738115
[9] eval-auc:0.699406 train-auc:0.740324
[10] eval-auc:0.701912 train-auc:0.742351
[11] eval-auc:0.699364 train-auc:0.739909
[12] eval-auc:0.698906 train-auc:0.740362
[13] eval-auc:0.698177 train-auc:0.740325
[14] eval-auc:0.69974 train-auc:0.740774
[15] eval-auc:0.701405 train-auc:0.742568
[16] eval-auc:0.700722 train-auc:0.742298
[17] eval-auc:0.699792 train-auc:0.742888
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[388] eval-auc:0.705579 train-auc:0.855459
[389] eval-auc:0.705267 train-auc:0.855679
[390] eval-auc:0.70535 train-auc:0.855735
[391] eval-auc:0.705256 train-auc:0.855858
[392] eval-auc:0.705457 train-auc:0.856168
[393] eval-auc:0.705186 train-auc:0.856285
[394] eval-auc:0.705043 train-auc:0.856427
[395] eval-auc:0.704834 train-auc:0.856576
[396] eval-auc:0.704735 train-auc:0.856658
[397] eval-auc:0.70463 train-auc:0.856799
[398] eval-auc:0.704645 train-auc:0.857064
[399] eval-auc:0.704922 train-auc:0.857366
[400] eval-auc:0.705152 train-auc:0.857572
[401] eval-auc:0.705168 train-auc:0.857553
[402] eval-auc:0.70516 train-auc:0.857803
[403] eval-auc:0.705302 train-auc:0.858097
[404] eval-auc:0.705299 train-auc:0.858102
[405] eval-auc:0.705277 train-auc:0.858341
[406] eval-auc:0.705043 train-auc:0.858445
[407] eval-auc:0.705059 train-auc:0.858862
[408] eval-auc:0.705297 train-auc:0.859151
[409] eval-auc:0.705796 train-auc:0.859452
[410] eval-auc:0.705662 train-auc:0.859752
[411] eval-auc:0.705676 train-auc:0.859688
[412] eval-auc:0.705586 train-auc:0.859733
[413] eval-auc:0.705554 train-auc:0.859881
[414] eval-auc:0.705541 train-auc:0.859985
[415] eval-auc:0.705588 train-auc:0.860149
[416] eval-auc:0.705586 train-auc:0.860152
[417] eval-auc:0.705836 train-auc:0.860488
[418] eval-auc:0.705697 train-auc:0.860528
[419] eval-auc:0.705643 train-auc:0.860738
[420] eval-auc:0.705553 train-auc:0.86087
[421] eval-auc:0.705484 train-auc:0.860983
[422] eval-auc:0.705451 train-auc:0.861067
[423] eval-auc:0.705519 train-auc:0.861193
[424] eval-auc:0.705385 train-auc:0.861351
[425] eval-auc:0.705381 train-auc:0.861353
[426] eval-auc:0.705375 train-auc:0.861312
[427] eval-auc:0.705334 train-auc:0.861394
[428] eval-auc:0.705341 train-auc:0.861397
[429] eval-auc:0.70564 train-auc:0.861571
[430] eval-auc:0.705693 train-auc:0.861743
[431] eval-auc:0.705953 train-auc:0.862104
[432] eval-auc:0.705831 train-auc:0.862194
[433] eval-auc:0.70574 train-auc:0.862291
[434] eval-auc:0.705883 train-auc:0.862414
[435] eval-auc:0.705958 train-auc:0.86254
[436] eval-auc:0.706071 train-auc:0.862706
[437] eval-auc:0.70611 train-auc:0.862983
[438] eval-auc:0.706253 train-auc:0.863108
[439] eval-auc:0.70639 train-auc:0.863326
[440] eval-auc:0.706508 train-auc:0.863596
[441] eval-auc:0.706506 train-auc:0.863559
[442] eval-auc:0.706447 train-auc:0.863635
[443] eval-auc:0.706335 train-auc:0.863773
[444] eval-auc:0.706453 train-auc:0.864069
[445] eval-auc:0.706424 train-auc:0.864222
[446] eval-auc:0.706425 train-auc:0.864223
[447] eval-auc:0.706466 train-auc:0.864404
[448] eval-auc:0.70624 train-auc:0.864511
[449] eval-auc:0.706448 train-auc:0.86477
[450] eval-auc:0.70643 train-auc:0.865103
[451] eval-auc:0.706521 train-auc:0.865365
[452] eval-auc:0.706378 train-auc:0.865499
[453] eval-auc:0.70652 train-auc:0.865693
[454] eval-auc:0.706419 train-auc:0.866075
[455] eval-auc:0.706357 train-auc:0.866127
[456] eval-auc:0.706369 train-auc:0.866079
[457] eval-auc:0.706512 train-auc:0.866463
[458] eval-auc:0.706555 train-auc:0.866546
[459] eval-auc:0.706604 train-auc:0.866557
[460] eval-auc:0.706757 train-auc:0.866786
[461] eval-auc:0.706782 train-auc:0.86675
[462] eval-auc:0.706826 train-auc:0.866922
Score 0.7068258231919015
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8, 'eta': 0.05, 'eval_metric': 'auc', 'gamma': 0.8500000000000001, 'max_depth': 3, 'min_child_weight': 1.0, 'n_estimators': 496.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.67802 train-auc:0.692356
[1] eval-auc:0.666943 train-auc:0.706791
[2] eval-auc:0.683919 train-auc:0.718706
[3] eval-auc:0.678941 train-auc:0.718883
[4] eval-auc:0.692402 train-auc:0.729162
[5] eval-auc:0.693153 train-auc:0.727567
[6] eval-auc:0.696553 train-auc:0.730931
[7] eval-auc:0.692873 train-auc:0.727314
[8] eval-auc:0.694816 train-auc:0.731378
[9] eval-auc:0.697852 train-auc:0.731266
[10] eval-auc:0.701081 train-auc:0.734105
[11] eval-auc:0.698729 train-auc:0.737013
[12] eval-auc:0.697319 train-auc:0.735762
[13] eval-auc:0.701463 train-auc:0.735935
[14] eval-auc:0.699077 train-auc:0.737272
[15] eval-auc:0.697798 train-auc:0.738354
[16] eval-auc:0.696653 train-auc:0.740388
[17] eval-auc:0.699163 train-auc:0.742497
[18] eval-auc:0.69954 train-auc:0.744977
[19] eval-auc:0.700269 train-auc:0.746663
[20] eval-auc:0.701222 train-auc:0.746279
[21] eval-auc:0.701837 train-auc:0.747899
[22] eval-auc:0.701558 train-auc:0.747681
[23] eval-auc:0.701888 train-auc:0.749602
[24] eval-auc:0.703407 train-auc:0.752587
[25] eval-auc:0.703164 train-auc:0.751707
[26] eval-auc:0.704192 train-auc:0.751237
[27] eval-auc:0.705365 train-auc:0.753712
[28] eval-auc:0.706486 train-auc:0.753854
[29] eval-auc:0.707515 train-auc:0.753533
[30] eval-auc:0.707167 train-auc:0.755101
[31] eval-auc:0.706382 train-auc:0.75496
[32] eval-auc:0.706482 train-auc:0.754964
[33] eval-auc:0.706938 train-auc:0.755755
[34] eval-auc:0.705829 train-auc:0.757257
[35] eval-auc:0.706674 train-auc:0.758697
[36] eval-auc:0.707155 train-auc:0.759866
[37] eval-auc:0.708362 train-auc:0.759815
[38] eval-auc:0.707937 train-auc:0.76022
[39] eval-auc:0.708096 train-auc:0.76052
[40] eval-auc:0.707461 train-auc:0.760493
[41] eval-auc:0.707857 train-auc:0.761207
[42] eval-auc:0.708036 train-auc:0.761615
[43] eval-auc:0.708568 train-auc:0.763979
[44] eval-auc:0.709076 train-auc:0.765717
[45] eval-auc:0.709698 train-auc:0.767798
[46] eval-auc:0.709744 train-auc:0.769206
[47] eval-auc:0.709765 train-auc:0.770435
[48] eval-auc:0.710724 train-auc:0.77045
[49] eval-auc:0.709818 train-auc:0.77163
[50] eval-auc:0.70966 train-auc:0.772852
[51] eval-auc:0.709775 train-auc:0.773625
[52] eval-auc:0.709499 train-auc:0.774793
[53] eval-auc:0.708899 train-auc:0.775607
[54] eval-auc:0.709245 train-auc:0.776597
[55] eval-auc:0.709181 train-auc:0.777194
[56] eval-auc:0.708769 train-auc:0.777796
[57] eval-auc:0.708607 train-auc:0.778667
[58] eval-auc:0.709322 train-auc:0.779129
[59] eval-auc:0.709844 train-auc:0.781147
[60] eval-auc:0.709079 train-auc:0.783115
[61] eval-auc:0.708937 train-auc:0.783922
[62] eval-auc:0.709156 train-auc:0.78461
[63] eval-auc:0.709188 train-auc:0.785688
[64] eval-auc:0.70908 train-auc:0.785821
[65] eval-auc:0.709156 train-auc:0.786154
[66] eval-auc:0.709721 train-auc:0.786782
[67] eval-auc:0.709785 train-auc:0.787344
[68] eval-auc:0.709557 train-auc:0.78807
[69] eval-auc:0.709704 train-auc:0.788793
[70] eval-auc:0.709645 train-auc:0.789077
[71] eval-auc:0.709733 train-auc:0.789154
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[75] eval-auc:0.709781 train-auc:0.79082
[76] eval-auc:0.710206 train-auc:0.791395
[77] eval-auc:0.710403 train-auc:0.792731
[78] eval-auc:0.710614 train-auc:0.793362
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[80] eval-auc:0.711571 train-auc:0.795308
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[82] eval-auc:0.711558 train-auc:0.796599
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[84] eval-auc:0.711693 train-auc:0.798498
[85] eval-auc:0.711329 train-auc:0.799473
[86] eval-auc:0.711059 train-auc:0.799638
[87] eval-auc:0.711108 train-auc:0.799283
[88] eval-auc:0.710896 train-auc:0.800486
[89] eval-auc:0.710994 train-auc:0.801158
[90] eval-auc:0.711019 train-auc:0.801188
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[100] eval-auc:0.711121 train-auc:0.80559
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[102] eval-auc:0.71064 train-auc:0.806677
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[105] eval-auc:0.710826 train-auc:0.808241
[106] eval-auc:0.710835 train-auc:0.808271
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[108] eval-auc:0.710921 train-auc:0.808973
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[110] eval-auc:0.710667 train-auc:0.810409
[111] eval-auc:0.710644 train-auc:0.811064
[112] eval-auc:0.710757 train-auc:0.811357
[113] eval-auc:0.710971 train-auc:0.812211
[114] eval-auc:0.710944 train-auc:0.812816
[115] eval-auc:0.710602 train-auc:0.813188
[116] eval-auc:0.710878 train-auc:0.814431
[117] eval-auc:0.710885 train-auc:0.814716
[118] eval-auc:0.710971 train-auc:0.815507
[119] eval-auc:0.710492 train-auc:0.816309
[120] eval-auc:0.710541 train-auc:0.817284
[121] eval-auc:0.710714 train-auc:0.817338
[122] eval-auc:0.710777 train-auc:0.818256
[123] eval-auc:0.711154 train-auc:0.819328
[124] eval-auc:0.711357 train-auc:0.81967
[125] eval-auc:0.711022 train-auc:0.820752
[126] eval-auc:0.710978 train-auc:0.821364
[127] eval-auc:0.711282 train-auc:0.821981
[128] eval-auc:0.71161 train-auc:0.822971
[129] eval-auc:0.711913 train-auc:0.82369
[130] eval-auc:0.712206 train-auc:0.824794
[131] eval-auc:0.712232 train-auc:0.824872
[132] eval-auc:0.712221 train-auc:0.825404
[133] eval-auc:0.712079 train-auc:0.825781
[134] eval-auc:0.712085 train-auc:0.826016
[135] eval-auc:0.711615 train-auc:0.827356
[136] eval-auc:0.711674 train-auc:0.827638
[137] eval-auc:0.711552 train-auc:0.82841
[138] eval-auc:0.711453 train-auc:0.82903
[139] eval-auc:0.711391 train-auc:0.82927
[140] eval-auc:0.711823 train-auc:0.83009
[141] eval-auc:0.711805 train-auc:0.830521
[142] eval-auc:0.710949 train-auc:0.831259
[143] eval-auc:0.711662 train-auc:0.832287
[144] eval-auc:0.711169 train-auc:0.832942
[145] eval-auc:0.711335 train-auc:0.832949
[146] eval-auc:0.710734 train-auc:0.833745
[147] eval-auc:0.710403 train-auc:0.834277
[148] eval-auc:0.710847 train-auc:0.835076
[149] eval-auc:0.71124 train-auc:0.835817
[150] eval-auc:0.711173 train-auc:0.836402
[151] eval-auc:0.710566 train-auc:0.83673
[152] eval-auc:0.71057 train-auc:0.836552
[153] eval-auc:0.710835 train-auc:0.837102
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[156] eval-auc:0.710783 train-auc:0.839302
[157] eval-auc:0.710587 train-auc:0.839977
[158] eval-auc:0.710604 train-auc:0.840229
[159] eval-auc:0.710712 train-auc:0.840647
[160] eval-auc:0.710797 train-auc:0.841345
[161] eval-auc:0.710704 train-auc:0.841741
[162] eval-auc:0.710081 train-auc:0.842594
[163] eval-auc:0.710159 train-auc:0.842974
[164] eval-auc:0.710222 train-auc:0.843713
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[166] eval-auc:0.71027 train-auc:0.844506
[167] eval-auc:0.710183 train-auc:0.846268
[168] eval-auc:0.710293 train-auc:0.846421
[169] eval-auc:0.710075 train-auc:0.846695
[170] eval-auc:0.709864 train-auc:0.847189
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[179] eval-auc:0.709337 train-auc:0.850796
[180] eval-auc:0.709069 train-auc:0.851075
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[185] eval-auc:0.709957 train-auc:0.854344
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[187] eval-auc:0.709517 train-auc:0.855743
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[190] eval-auc:0.710103 train-auc:0.857418
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[192] eval-auc:0.709841 train-auc:0.858106
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[195] eval-auc:0.710014 train-auc:0.859739
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[300] eval-auc:0.706801 train-auc:0.894027
[301] eval-auc:0.70664 train-auc:0.894017
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[304] eval-auc:0.706247 train-auc:0.895106
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[308] eval-auc:0.705806 train-auc:0.896188
[309] eval-auc:0.705946 train-auc:0.896394
[310] eval-auc:0.705919 train-auc:0.896794
[311] eval-auc:0.705979 train-auc:0.897424
[312] eval-auc:0.705845 train-auc:0.897557
[313] eval-auc:0.705629 train-auc:0.897826
[314] eval-auc:0.705381 train-auc:0.897949
[315] eval-auc:0.705614 train-auc:0.898124
[316] eval-auc:0.705483 train-auc:0.898137
[317] eval-auc:0.705874 train-auc:0.898381
[318] eval-auc:0.705736 train-auc:0.898627
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[320] eval-auc:0.705533 train-auc:0.899111
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[324] eval-auc:0.705604 train-auc:0.899769
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[326] eval-auc:0.705679 train-auc:0.900188
[327] eval-auc:0.705872 train-auc:0.900391
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[329] eval-auc:0.705816 train-auc:0.900609
[330] eval-auc:0.705871 train-auc:0.900756
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[335] eval-auc:0.705882 train-auc:0.901455
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[340] eval-auc:0.706249 train-auc:0.902311
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[342] eval-auc:0.706412 train-auc:0.902827
[343] eval-auc:0.706562 train-auc:0.903299
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[350] eval-auc:0.707468 train-auc:0.904789
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[358] eval-auc:0.707994 train-auc:0.905979
[359] eval-auc:0.70782 train-auc:0.905981
[360] eval-auc:0.70795 train-auc:0.906226
[361] eval-auc:0.708285 train-auc:0.906503
[362] eval-auc:0.708224 train-auc:0.906568
[363] eval-auc:0.708157 train-auc:0.906872
[364] eval-auc:0.707852 train-auc:0.907352
[365] eval-auc:0.70791 train-auc:0.907534
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[369] eval-auc:0.708384 train-auc:0.908709
[370] eval-auc:0.708291 train-auc:0.909083
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[383] eval-auc:0.708678 train-auc:0.91182
[384] eval-auc:0.7087 train-auc:0.911929
[385] eval-auc:0.708784 train-auc:0.912034
[386] eval-auc:0.708649 train-auc:0.912368
[387] eval-auc:0.708755 train-auc:0.91258
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[389] eval-auc:0.709255 train-auc:0.913293
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[393] eval-auc:0.709134 train-auc:0.914202
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[399] eval-auc:0.709087 train-auc:0.915193
[400] eval-auc:0.709127 train-auc:0.915255
[401] eval-auc:0.709475 train-auc:0.91539
[402] eval-auc:0.709506 train-auc:0.915585
[403] eval-auc:0.709524 train-auc:0.915642
[404] eval-auc:0.709648 train-auc:0.915855
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[406] eval-auc:0.70901 train-auc:0.91635
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[408] eval-auc:0.708589 train-auc:0.916462
[409] eval-auc:0.708534 train-auc:0.916634
[410] eval-auc:0.708633 train-auc:0.916916
[411] eval-auc:0.708555 train-auc:0.917156
[412] eval-auc:0.708592 train-auc:0.917648
[413] eval-auc:0.708644 train-auc:0.917861
[414] eval-auc:0.707977 train-auc:0.918154
[415] eval-auc:0.707785 train-auc:0.918348
[416] eval-auc:0.707979 train-auc:0.918727
[417] eval-auc:0.707983 train-auc:0.918754
[418] eval-auc:0.707954 train-auc:0.918742
[419] eval-auc:0.708126 train-auc:0.918913
[420] eval-auc:0.708563 train-auc:0.919279
[421] eval-auc:0.708579 train-auc:0.919406
[422] eval-auc:0.708422 train-auc:0.919581
[423] eval-auc:0.708482 train-auc:0.919717
[424] eval-auc:0.708571 train-auc:0.919855
[425] eval-auc:0.708685 train-auc:0.919916
[426] eval-auc:0.708671 train-auc:0.920076
[427] eval-auc:0.708571 train-auc:0.920064
[428] eval-auc:0.708504 train-auc:0.920296
[429] eval-auc:0.708524 train-auc:0.920291
[430] eval-auc:0.708253 train-auc:0.920376
[431] eval-auc:0.708301 train-auc:0.920548
[432] eval-auc:0.708129 train-auc:0.920839
[433] eval-auc:0.708091 train-auc:0.920933
[434] eval-auc:0.708157 train-auc:0.921091
[435] eval-auc:0.708038 train-auc:0.921064
[436] eval-auc:0.70849 train-auc:0.921347
[437] eval-auc:0.7087 train-auc:0.921481
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[440] eval-auc:0.708898 train-auc:0.922127
[441] eval-auc:0.709142 train-auc:0.922216
[442] eval-auc:0.709522 train-auc:0.922517
[443] eval-auc:0.709527 train-auc:0.922773
[444] eval-auc:0.709684 train-auc:0.922901
[445] eval-auc:0.709475 train-auc:0.923155
[446] eval-auc:0.709498 train-auc:0.923162
[447] eval-auc:0.7095 train-auc:0.923257
[448] eval-auc:0.709725 train-auc:0.923336
[449] eval-auc:0.709468 train-auc:0.923445
[450] eval-auc:0.709899 train-auc:0.923843
[451] eval-auc:0.710019 train-auc:0.924106
[452] eval-auc:0.709998 train-auc:0.9241
[453] eval-auc:0.709739 train-auc:0.924307
[454] eval-auc:0.710022 train-auc:0.924405
[455] eval-auc:0.709411 train-auc:0.924629
[456] eval-auc:0.709436 train-auc:0.92482
[457] eval-auc:0.709411 train-auc:0.92487
[458] eval-auc:0.70908 train-auc:0.925164
[459] eval-auc:0.7092 train-auc:0.925283
[460] eval-auc:0.709209 train-auc:0.925657
[461] eval-auc:0.709111 train-auc:0.925704
[462] eval-auc:0.709067 train-auc:0.925894
[463] eval-auc:0.708994 train-auc:0.926064
[464] eval-auc:0.709073 train-auc:0.926619
[465] eval-auc:0.709305 train-auc:0.926782
[466] eval-auc:0.709437 train-auc:0.926956
[467] eval-auc:0.709369 train-auc:0.927041
[468] eval-auc:0.709125 train-auc:0.927226
[469] eval-auc:0.709213 train-auc:0.927505
[470] eval-auc:0.709069 train-auc:0.927514
[471] eval-auc:0.709102 train-auc:0.927717
[472] eval-auc:0.709121 train-auc:0.927771
[473] eval-auc:0.709224 train-auc:0.927924
[474] eval-auc:0.709047 train-auc:0.927914
[475] eval-auc:0.708891 train-auc:0.928177
[476] eval-auc:0.708636 train-auc:0.928367
[477] eval-auc:0.708551 train-auc:0.92855
[478] eval-auc:0.708673 train-auc:0.928654
[479] eval-auc:0.708559 train-auc:0.928716
[480] eval-auc:0.708196 train-auc:0.929171
[481] eval-auc:0.708108 train-auc:0.929289
[482] eval-auc:0.708032 train-auc:0.929164
[483] eval-auc:0.708158 train-auc:0.929072
[484] eval-auc:0.708097 train-auc:0.929152
[485] eval-auc:0.708163 train-auc:0.929226
[486] eval-auc:0.708293 train-auc:0.929479
[487] eval-auc:0.708371 train-auc:0.929483
[488] eval-auc:0.708152 train-auc:0.929706
[489] eval-auc:0.708265 train-auc:0.929789
[490] eval-auc:0.708291 train-auc:0.930017
[491] eval-auc:0.70803 train-auc:0.93002
[492] eval-auc:0.708039 train-auc:0.929952
[493] eval-auc:0.70801 train-auc:0.930044
[494] eval-auc:0.707758 train-auc:0.93016
[495] eval-auc:0.70766 train-auc:0.930286
Score 0.7076602833509971
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.75, 'eta': 0.025, 'eval_metric': 'auc', 'gamma': 0.75, 'max_depth': 3, 'min_child_weight': 1.0, 'n_estimators': 419.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.702485 train-auc:0.723761
[1] eval-auc:0.684266 train-auc:0.727677
[2] eval-auc:0.684061 train-auc:0.727967
[3] eval-auc:0.696371 train-auc:0.728367
[4] eval-auc:0.696566 train-auc:0.724318
[5] eval-auc:0.698844 train-auc:0.726265
[6] eval-auc:0.70571 train-auc:0.732404
[7] eval-auc:0.706778 train-auc:0.733924
[8] eval-auc:0.700526 train-auc:0.738831
[9] eval-auc:0.704384 train-auc:0.742773
[10] eval-auc:0.704526 train-auc:0.744954
[11] eval-auc:0.701905 train-auc:0.744717
[12] eval-auc:0.701474 train-auc:0.744972
[13] eval-auc:0.702549 train-auc:0.740808
[14] eval-auc:0.700731 train-auc:0.74224
[15] eval-auc:0.701351 train-auc:0.744724
[16] eval-auc:0.701199 train-auc:0.743543
[17] eval-auc:0.701382 train-auc:0.744656
[18] eval-auc:0.701534 train-auc:0.744947
[19] eval-auc:0.700977 train-auc:0.748212
[20] eval-auc:0.701521 train-auc:0.749236
[21] eval-auc:0.700813 train-auc:0.750475
[22] eval-auc:0.699707 train-auc:0.751626
[23] eval-auc:0.700211 train-auc:0.749391
[24] eval-auc:0.700774 train-auc:0.750325
[25] eval-auc:0.699217 train-auc:0.750505
[26] eval-auc:0.698276 train-auc:0.751538
[27] eval-auc:0.699489 train-auc:0.75105
[28] eval-auc:0.70066 train-auc:0.751539
[29] eval-auc:0.700812 train-auc:0.751841
[30] eval-auc:0.701438 train-auc:0.75013
[31] eval-auc:0.701851 train-auc:0.751356
[32] eval-auc:0.702893 train-auc:0.749468
[33] eval-auc:0.702231 train-auc:0.75082
[34] eval-auc:0.701961 train-auc:0.75232
[35] eval-auc:0.701575 train-auc:0.752963
[36] eval-auc:0.701384 train-auc:0.75314
[37] eval-auc:0.69999 train-auc:0.754976
[38] eval-auc:0.699791 train-auc:0.755991
[39] eval-auc:0.69917 train-auc:0.757579
[40] eval-auc:0.698886 train-auc:0.758268
[41] eval-auc:0.698018 train-auc:0.757107
[42] eval-auc:0.697684 train-auc:0.757631
[43] eval-auc:0.698056 train-auc:0.758043
[44] eval-auc:0.699013 train-auc:0.758151
[45] eval-auc:0.699443 train-auc:0.757911
[46] eval-auc:0.698121 train-auc:0.757002
[47] eval-auc:0.699577 train-auc:0.756698
[48] eval-auc:0.699764 train-auc:0.755695
[49] eval-auc:0.70023 train-auc:0.755891
[50] eval-auc:0.700136 train-auc:0.75616
[51] eval-auc:0.700285 train-auc:0.755588
[52] eval-auc:0.699712 train-auc:0.757172
[53] eval-auc:0.699849 train-auc:0.757607
[54] eval-auc:0.699418 train-auc:0.758274
[55] eval-auc:0.699443 train-auc:0.75814
[56] eval-auc:0.699711 train-auc:0.757938
[57] eval-auc:0.699198 train-auc:0.758853
[58] eval-auc:0.69932 train-auc:0.759338
[59] eval-auc:0.699125 train-auc:0.76
[60] eval-auc:0.698462 train-auc:0.759607
[61] eval-auc:0.69783 train-auc:0.760502
[62] eval-auc:0.698028 train-auc:0.761121
[63] eval-auc:0.697773 train-auc:0.761866
[64] eval-auc:0.698061 train-auc:0.762212
[65] eval-auc:0.697854 train-auc:0.762881
[66] eval-auc:0.697676 train-auc:0.763426
[67] eval-auc:0.697616 train-auc:0.763149
[68] eval-auc:0.697964 train-auc:0.763574
[69] eval-auc:0.698138 train-auc:0.764654
[70] eval-auc:0.697855 train-auc:0.765454
[71] eval-auc:0.697618 train-auc:0.76578
[72] eval-auc:0.697513 train-auc:0.765998
[73] eval-auc:0.696872 train-auc:0.766225
[74] eval-auc:0.696325 train-auc:0.766836
[75] eval-auc:0.696779 train-auc:0.766607
[76] eval-auc:0.696792 train-auc:0.76756
[77] eval-auc:0.697041 train-auc:0.768557
[78] eval-auc:0.697222 train-auc:0.769852
[79] eval-auc:0.697089 train-auc:0.769752
[80] eval-auc:0.697472 train-auc:0.770571
[81] eval-auc:0.697808 train-auc:0.769999
[82] eval-auc:0.697578 train-auc:0.771152
[83] eval-auc:0.697353 train-auc:0.771859
[84] eval-auc:0.697129 train-auc:0.772135
[85] eval-auc:0.697526 train-auc:0.771859
[86] eval-auc:0.698498 train-auc:0.77158
[87] eval-auc:0.698688 train-auc:0.771035
[88] eval-auc:0.69864 train-auc:0.770744
[89] eval-auc:0.699048 train-auc:0.770588
[90] eval-auc:0.698758 train-auc:0.771001
[91] eval-auc:0.699433 train-auc:0.771329
[92] eval-auc:0.699696 train-auc:0.771355
[93] eval-auc:0.699753 train-auc:0.772293
[94] eval-auc:0.700092 train-auc:0.773049
[95] eval-auc:0.69987 train-auc:0.773883
[96] eval-auc:0.699718 train-auc:0.77454
[97] eval-auc:0.699913 train-auc:0.774917
[98] eval-auc:0.699916 train-auc:0.776135
[99] eval-auc:0.700266 train-auc:0.776084
[100] eval-auc:0.700242 train-auc:0.776597
[101] eval-auc:0.700136 train-auc:0.777065
[102] eval-auc:0.699993 train-auc:0.777576
[103] eval-auc:0.699885 train-auc:0.778724
[104] eval-auc:0.699988 train-auc:0.778923
[105] eval-auc:0.700188 train-auc:0.779167
[106] eval-auc:0.700347 train-auc:0.779294
[107] eval-auc:0.700104 train-auc:0.779883
[108] eval-auc:0.699935 train-auc:0.780874
[109] eval-auc:0.6999 train-auc:0.781401
[110] eval-auc:0.700286 train-auc:0.781606
[111] eval-auc:0.700303 train-auc:0.782243
[112] eval-auc:0.700507 train-auc:0.782841
[113] eval-auc:0.700901 train-auc:0.783093
[114] eval-auc:0.701043 train-auc:0.783697
[115] eval-auc:0.701434 train-auc:0.784377
[116] eval-auc:0.701577 train-auc:0.784801
[117] eval-auc:0.701458 train-auc:0.785829
[118] eval-auc:0.701781 train-auc:0.786032
[119] eval-auc:0.702093 train-auc:0.786314
[120] eval-auc:0.702172 train-auc:0.786559
[121] eval-auc:0.702372 train-auc:0.786523
[122] eval-auc:0.702425 train-auc:0.786691
[123] eval-auc:0.702714 train-auc:0.786919
[124] eval-auc:0.703231 train-auc:0.786904
[125] eval-auc:0.703065 train-auc:0.786776
[126] eval-auc:0.70315 train-auc:0.787467
[127] eval-auc:0.703226 train-auc:0.787623
[128] eval-auc:0.703206 train-auc:0.788274
[129] eval-auc:0.703225 train-auc:0.788644
[130] eval-auc:0.703437 train-auc:0.788713
[131] eval-auc:0.702947 train-auc:0.789325
[132] eval-auc:0.702784 train-auc:0.789868
[133] eval-auc:0.702807 train-auc:0.790331
[134] eval-auc:0.702909 train-auc:0.791266
[135] eval-auc:0.702931 train-auc:0.791364
[136] eval-auc:0.702813 train-auc:0.791811
[137] eval-auc:0.703161 train-auc:0.792291
[138] eval-auc:0.702957 train-auc:0.792255
[139] eval-auc:0.703157 train-auc:0.792656
[140] eval-auc:0.703145 train-auc:0.79303
[141] eval-auc:0.703265 train-auc:0.79388
[142] eval-auc:0.703527 train-auc:0.794043
[143] eval-auc:0.703549 train-auc:0.794264
[144] eval-auc:0.703547 train-auc:0.79443
[145] eval-auc:0.70322 train-auc:0.794872
[146] eval-auc:0.702996 train-auc:0.795607
[147] eval-auc:0.703136 train-auc:0.795845
[148] eval-auc:0.703212 train-auc:0.796546
[149] eval-auc:0.703215 train-auc:0.796844
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[174] eval-auc:0.705906 train-auc:0.804015
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[180] eval-auc:0.706144 train-auc:0.806086
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[182] eval-auc:0.705991 train-auc:0.806696
[183] eval-auc:0.705673 train-auc:0.807037
[184] eval-auc:0.705701 train-auc:0.807353
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[207] eval-auc:0.706727 train-auc:0.811708
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[212] eval-auc:0.706895 train-auc:0.812567
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[215] eval-auc:0.707398 train-auc:0.813939
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[220] eval-auc:0.707542 train-auc:0.815384
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[222] eval-auc:0.707589 train-auc:0.81543
[223] eval-auc:0.707611 train-auc:0.815857
[224] eval-auc:0.707769 train-auc:0.816101
[225] eval-auc:0.707774 train-auc:0.816095
[226] eval-auc:0.707829 train-auc:0.81623
[227] eval-auc:0.707691 train-auc:0.816328
[228] eval-auc:0.707685 train-auc:0.816719
[229] eval-auc:0.707705 train-auc:0.816702
[230] eval-auc:0.707906 train-auc:0.816942
[231] eval-auc:0.708141 train-auc:0.817354
[232] eval-auc:0.708151 train-auc:0.817523
[233] eval-auc:0.707983 train-auc:0.818045
[234] eval-auc:0.70818 train-auc:0.818228
[235] eval-auc:0.708295 train-auc:0.818266
[236] eval-auc:0.708247 train-auc:0.818209
[237] eval-auc:0.708149 train-auc:0.818686
[238] eval-auc:0.708094 train-auc:0.818718
[239] eval-auc:0.708085 train-auc:0.818646
[240] eval-auc:0.708043 train-auc:0.818769
[241] eval-auc:0.708073 train-auc:0.818796
[242] eval-auc:0.70809 train-auc:0.81917
[243] eval-auc:0.707856 train-auc:0.819974
[244] eval-auc:0.707824 train-auc:0.820221
[245] eval-auc:0.70779 train-auc:0.820235
[246] eval-auc:0.708086 train-auc:0.821134
[247] eval-auc:0.707769 train-auc:0.821641
[248] eval-auc:0.70779 train-auc:0.822115
[249] eval-auc:0.707632 train-auc:0.822283
[250] eval-auc:0.707672 train-auc:0.822468
[251] eval-auc:0.707822 train-auc:0.822729
[252] eval-auc:0.708311 train-auc:0.823381
[253] eval-auc:0.708322 train-auc:0.823489
[254] eval-auc:0.708339 train-auc:0.823785
[255] eval-auc:0.708683 train-auc:0.824631
[256] eval-auc:0.708849 train-auc:0.824741
[257] eval-auc:0.70895 train-auc:0.825528
[258] eval-auc:0.708962 train-auc:0.825675
[259] eval-auc:0.708888 train-auc:0.825875
[260] eval-auc:0.708887 train-auc:0.825921
[261] eval-auc:0.708744 train-auc:0.826122
[262] eval-auc:0.708544 train-auc:0.826442
[263] eval-auc:0.70839 train-auc:0.827266
[264] eval-auc:0.708215 train-auc:0.827416
[265] eval-auc:0.708192 train-auc:0.827418
[266] eval-auc:0.708197 train-auc:0.82761
[267] eval-auc:0.708302 train-auc:0.828445
[268] eval-auc:0.708444 train-auc:0.829107
[269] eval-auc:0.708372 train-auc:0.829069
[270] eval-auc:0.708089 train-auc:0.829339
[271] eval-auc:0.708389 train-auc:0.829945
[272] eval-auc:0.70839 train-auc:0.829985
[273] eval-auc:0.708398 train-auc:0.829896
[274] eval-auc:0.708275 train-auc:0.830286
[275] eval-auc:0.708488 train-auc:0.830943
[276] eval-auc:0.708465 train-auc:0.831172
[277] eval-auc:0.708439 train-auc:0.831347
[278] eval-auc:0.7085 train-auc:0.831488
[279] eval-auc:0.7085 train-auc:0.83153
[280] eval-auc:0.708129 train-auc:0.831992
[281] eval-auc:0.708235 train-auc:0.832105
[282] eval-auc:0.708208 train-auc:0.832103
[283] eval-auc:0.708115 train-auc:0.832221
[284] eval-auc:0.708197 train-auc:0.832469
[285] eval-auc:0.708337 train-auc:0.832802
[286] eval-auc:0.708342 train-auc:0.832836
[287] eval-auc:0.708333 train-auc:0.832961
[288] eval-auc:0.708339 train-auc:0.83299
[289] eval-auc:0.708266 train-auc:0.833138
[290] eval-auc:0.708314 train-auc:0.833372
[291] eval-auc:0.708215 train-auc:0.834042
[292] eval-auc:0.708354 train-auc:0.834204
[293] eval-auc:0.708302 train-auc:0.834225
[294] eval-auc:0.708272 train-auc:0.834508
[295] eval-auc:0.708272 train-auc:0.834533
[296] eval-auc:0.708148 train-auc:0.834923
[297] eval-auc:0.708072 train-auc:0.835142
[298] eval-auc:0.70822 train-auc:0.835331
[299] eval-auc:0.708319 train-auc:0.8355
[300] eval-auc:0.708305 train-auc:0.835612
[301] eval-auc:0.708051 train-auc:0.835846
[302] eval-auc:0.708471 train-auc:0.836357
[303] eval-auc:0.708575 train-auc:0.837104
[304] eval-auc:0.708575 train-auc:0.837128
[305] eval-auc:0.708506 train-auc:0.837077
[306] eval-auc:0.708555 train-auc:0.837591
[307] eval-auc:0.708866 train-auc:0.83805
[308] eval-auc:0.709044 train-auc:0.838554
[309] eval-auc:0.709098 train-auc:0.838948
[310] eval-auc:0.708906 train-auc:0.839049
[311] eval-auc:0.708938 train-auc:0.839291
[312] eval-auc:0.708737 train-auc:0.839486
[313] eval-auc:0.708738 train-auc:0.839505
[314] eval-auc:0.708709 train-auc:0.839511
[315] eval-auc:0.708728 train-auc:0.83968
[316] eval-auc:0.708583 train-auc:0.839953
[317] eval-auc:0.708659 train-auc:0.840083
[318] eval-auc:0.708656 train-auc:0.8401
[319] eval-auc:0.708591 train-auc:0.840206
[320] eval-auc:0.708612 train-auc:0.840398
[321] eval-auc:0.708417 train-auc:0.840581
[322] eval-auc:0.708696 train-auc:0.841145
[323] eval-auc:0.708699 train-auc:0.84116
[324] eval-auc:0.70872 train-auc:0.841094
[325] eval-auc:0.708828 train-auc:0.841272
[326] eval-auc:0.70878 train-auc:0.841809
[327] eval-auc:0.708822 train-auc:0.842203
[328] eval-auc:0.70883 train-auc:0.842158
[329] eval-auc:0.708673 train-auc:0.842508
[330] eval-auc:0.708856 train-auc:0.843056
[331] eval-auc:0.708819 train-auc:0.843217
[332] eval-auc:0.708713 train-auc:0.843363
[333] eval-auc:0.708365 train-auc:0.84367
[334] eval-auc:0.708243 train-auc:0.843932
[335] eval-auc:0.708247 train-auc:0.843945
[336] eval-auc:0.708259 train-auc:0.844036
[337] eval-auc:0.708113 train-auc:0.84416
[338] eval-auc:0.708074 train-auc:0.844162
[339] eval-auc:0.708038 train-auc:0.844253
[340] eval-auc:0.708006 train-auc:0.844351
[341] eval-auc:0.70824 train-auc:0.844835
[342] eval-auc:0.70818 train-auc:0.845085
[343] eval-auc:0.708125 train-auc:0.845182
[344] eval-auc:0.708126 train-auc:0.845189
[345] eval-auc:0.708097 train-auc:0.845279
[346] eval-auc:0.708423 train-auc:0.845351
[347] eval-auc:0.708189 train-auc:0.845586
[348] eval-auc:0.708344 train-auc:0.84592
[349] eval-auc:0.708327 train-auc:0.84602
[350] eval-auc:0.708039 train-auc:0.846204
[351] eval-auc:0.707864 train-auc:0.846289
[352] eval-auc:0.707764 train-auc:0.846365
[353] eval-auc:0.707915 train-auc:0.846695
[354] eval-auc:0.707916 train-auc:0.846658
[355] eval-auc:0.70794 train-auc:0.846757
[356] eval-auc:0.707937 train-auc:0.846761
[357] eval-auc:0.707925 train-auc:0.846747
[358] eval-auc:0.707872 train-auc:0.84676
[359] eval-auc:0.708047 train-auc:0.847001
[360] eval-auc:0.708332 train-auc:0.847542
[361] eval-auc:0.707991 train-auc:0.847755
[362] eval-auc:0.708087 train-auc:0.848062
[363] eval-auc:0.708062 train-auc:0.848327
[364] eval-auc:0.708062 train-auc:0.848329
[365] eval-auc:0.707884 train-auc:0.848583
[366] eval-auc:0.708003 train-auc:0.848951
[367] eval-auc:0.707919 train-auc:0.849299
[368] eval-auc:0.707616 train-auc:0.849569
[369] eval-auc:0.707723 train-auc:0.849709
[370] eval-auc:0.707805 train-auc:0.849961
[371] eval-auc:0.70781 train-auc:0.850192
[372] eval-auc:0.707803 train-auc:0.850177
[373] eval-auc:0.707613 train-auc:0.850369
[374] eval-auc:0.707613 train-auc:0.85037
[375] eval-auc:0.707644 train-auc:0.850434
[376] eval-auc:0.707613 train-auc:0.85055
[377] eval-auc:0.707628 train-auc:0.850956
[378] eval-auc:0.70763 train-auc:0.850959
[379] eval-auc:0.70765 train-auc:0.851255
[380] eval-auc:0.707988 train-auc:0.851673
[381] eval-auc:0.708274 train-auc:0.852053
[382] eval-auc:0.708352 train-auc:0.852471
[383] eval-auc:0.708333 train-auc:0.852423
[384] eval-auc:0.708486 train-auc:0.853137
[385] eval-auc:0.708414 train-auc:0.853285
[386] eval-auc:0.708271 train-auc:0.85353
[387] eval-auc:0.708088 train-auc:0.853639
[388] eval-auc:0.708262 train-auc:0.853936
[389] eval-auc:0.708432 train-auc:0.854176
[390] eval-auc:0.70837 train-auc:0.854335
[391] eval-auc:0.708327 train-auc:0.854709
[392] eval-auc:0.708405 train-auc:0.854934
[393] eval-auc:0.708349 train-auc:0.855096
[394] eval-auc:0.708289 train-auc:0.85522
[395] eval-auc:0.708213 train-auc:0.85536
[396] eval-auc:0.708413 train-auc:0.855804
[397] eval-auc:0.708684 train-auc:0.856283
[398] eval-auc:0.708926 train-auc:0.856669
[399] eval-auc:0.708935 train-auc:0.856812
[400] eval-auc:0.708783 train-auc:0.856988
[401] eval-auc:0.709069 train-auc:0.857212
[402] eval-auc:0.708918 train-auc:0.857385
[403] eval-auc:0.708926 train-auc:0.857386
[404] eval-auc:0.708792 train-auc:0.85756
[405] eval-auc:0.708773 train-auc:0.857623
[406] eval-auc:0.708825 train-auc:0.85777
[407] eval-auc:0.708531 train-auc:0.857903
[408] eval-auc:0.70823 train-auc:0.858129
[409] eval-auc:0.708186 train-auc:0.858098
[410] eval-auc:0.708448 train-auc:0.858579
[411] eval-auc:0.708655 train-auc:0.858819
[412] eval-auc:0.708548 train-auc:0.859052
[413] eval-auc:0.708601 train-auc:0.858989
[414] eval-auc:0.708696 train-auc:0.859344
[415] eval-auc:0.708709 train-auc:0.85941
[416] eval-auc:0.708713 train-auc:0.859412
[417] eval-auc:0.708336 train-auc:0.85988
[418] eval-auc:0.708513 train-auc:0.860529
Score 0.7085130163602918
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.7000000000000001, 'eta': 0.07500000000000001, 'eval_metric': 'auc', 'gamma': 0.8500000000000001, 'max_depth': 3, 'min_child_weight': 1.0, 'n_estimators': 273.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.67802 train-auc:0.692356
[1] eval-auc:0.666943 train-auc:0.706791
[2] eval-auc:0.68412 train-auc:0.718794
[3] eval-auc:0.678982 train-auc:0.720644
[4] eval-auc:0.689813 train-auc:0.728526
[5] eval-auc:0.690907 train-auc:0.726439
[6] eval-auc:0.696188 train-auc:0.731956
[7] eval-auc:0.6937 train-auc:0.731425
[8] eval-auc:0.696891 train-auc:0.737113
[9] eval-auc:0.698208 train-auc:0.735679
[10] eval-auc:0.694618 train-auc:0.737427
[11] eval-auc:0.693994 train-auc:0.738903
[12] eval-auc:0.69245 train-auc:0.739069
[13] eval-auc:0.6934 train-auc:0.741328
[14] eval-auc:0.694339 train-auc:0.741154
[15] eval-auc:0.692843 train-auc:0.741983
[16] eval-auc:0.69342 train-auc:0.742607
[17] eval-auc:0.694655 train-auc:0.745895
[18] eval-auc:0.695272 train-auc:0.747603
[19] eval-auc:0.694766 train-auc:0.750793
[20] eval-auc:0.69626 train-auc:0.748998
[21] eval-auc:0.696994 train-auc:0.749108
[22] eval-auc:0.698896 train-auc:0.749901
[23] eval-auc:0.699865 train-auc:0.752581
[24] eval-auc:0.701178 train-auc:0.755917
[25] eval-auc:0.70017 train-auc:0.757029
[26] eval-auc:0.702785 train-auc:0.75763
[27] eval-auc:0.703743 train-auc:0.760662
[28] eval-auc:0.705795 train-auc:0.760797
[29] eval-auc:0.706535 train-auc:0.761255
[30] eval-auc:0.70712 train-auc:0.763838
[31] eval-auc:0.707729 train-auc:0.76326
[32] eval-auc:0.708515 train-auc:0.763144
[33] eval-auc:0.708397 train-auc:0.763397
[34] eval-auc:0.707481 train-auc:0.765024
[35] eval-auc:0.708293 train-auc:0.766291
[36] eval-auc:0.70772 train-auc:0.766525
[37] eval-auc:0.708113 train-auc:0.766474
[38] eval-auc:0.707475 train-auc:0.767379
[39] eval-auc:0.707798 train-auc:0.768681
[40] eval-auc:0.70744 train-auc:0.769569
[41] eval-auc:0.70703 train-auc:0.770833
[42] eval-auc:0.706987 train-auc:0.772071
[43] eval-auc:0.706872 train-auc:0.773152
[44] eval-auc:0.706585 train-auc:0.776407
[45] eval-auc:0.706838 train-auc:0.777627
[46] eval-auc:0.706728 train-auc:0.779906
[47] eval-auc:0.70669 train-auc:0.780548
[48] eval-auc:0.707372 train-auc:0.78058
[49] eval-auc:0.706759 train-auc:0.782065
[50] eval-auc:0.70638 train-auc:0.782641
[51] eval-auc:0.706887 train-auc:0.783646
[52] eval-auc:0.70668 train-auc:0.784465
[53] eval-auc:0.706792 train-auc:0.785785
[54] eval-auc:0.707008 train-auc:0.786798
[55] eval-auc:0.707058 train-auc:0.78696
[56] eval-auc:0.706894 train-auc:0.787097
[57] eval-auc:0.706887 train-auc:0.787525
[58] eval-auc:0.706696 train-auc:0.788721
[59] eval-auc:0.706489 train-auc:0.789315
[60] eval-auc:0.706174 train-auc:0.789257
[61] eval-auc:0.706259 train-auc:0.789697
[62] eval-auc:0.706575 train-auc:0.790586
[63] eval-auc:0.705495 train-auc:0.792197
[64] eval-auc:0.705422 train-auc:0.793106
[65] eval-auc:0.705021 train-auc:0.793525
[66] eval-auc:0.706101 train-auc:0.795944
[67] eval-auc:0.706281 train-auc:0.796447
[68] eval-auc:0.706363 train-auc:0.797279
[69] eval-auc:0.706517 train-auc:0.79789
[70] eval-auc:0.706718 train-auc:0.797912
[71] eval-auc:0.706648 train-auc:0.798066
[72] eval-auc:0.706052 train-auc:0.798245
[73] eval-auc:0.706198 train-auc:0.79841
[74] eval-auc:0.706573 train-auc:0.79964
[75] eval-auc:0.706534 train-auc:0.799608
[76] eval-auc:0.707058 train-auc:0.800321
[77] eval-auc:0.70612 train-auc:0.801963
[78] eval-auc:0.707131 train-auc:0.802925
[79] eval-auc:0.70707 train-auc:0.804053
[80] eval-auc:0.706454 train-auc:0.804994
[81] eval-auc:0.706509 train-auc:0.805517
[82] eval-auc:0.705084 train-auc:0.807393
[83] eval-auc:0.705139 train-auc:0.807905
[84] eval-auc:0.704927 train-auc:0.809445
[85] eval-auc:0.704759 train-auc:0.809512
[86] eval-auc:0.704696 train-auc:0.809993
[87] eval-auc:0.704083 train-auc:0.810154
[88] eval-auc:0.703333 train-auc:0.811513
[89] eval-auc:0.703386 train-auc:0.812313
[90] eval-auc:0.703465 train-auc:0.812228
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[100] eval-auc:0.703792 train-auc:0.817665
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[104] eval-auc:0.704567 train-auc:0.820776
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[108] eval-auc:0.705568 train-auc:0.823765
[109] eval-auc:0.705605 train-auc:0.823888
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[111] eval-auc:0.705527 train-auc:0.826448
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[138] eval-auc:0.705 train-auc:0.847832
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[177] eval-auc:0.706054 train-auc:0.870621
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[179] eval-auc:0.705423 train-auc:0.872201
[180] eval-auc:0.705483 train-auc:0.872372
[181] eval-auc:0.705382 train-auc:0.872746
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[183] eval-auc:0.705203 train-auc:0.874054
[184] eval-auc:0.705417 train-auc:0.874432
[185] eval-auc:0.704702 train-auc:0.87507
[186] eval-auc:0.704734 train-auc:0.875971
[187] eval-auc:0.703742 train-auc:0.876767
[188] eval-auc:0.704054 train-auc:0.877288
[189] eval-auc:0.704223 train-auc:0.878102
[190] eval-auc:0.704396 train-auc:0.878313
[191] eval-auc:0.70523 train-auc:0.879017
[192] eval-auc:0.705487 train-auc:0.879954
[193] eval-auc:0.705542 train-auc:0.880287
[194] eval-auc:0.706189 train-auc:0.881114
[195] eval-auc:0.705993 train-auc:0.881189
[196] eval-auc:0.706078 train-auc:0.881907
[197] eval-auc:0.706215 train-auc:0.88234
[198] eval-auc:0.706646 train-auc:0.883153
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[201] eval-auc:0.706654 train-auc:0.884544
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[205] eval-auc:0.708894 train-auc:0.886697
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[208] eval-auc:0.709428 train-auc:0.887791
[209] eval-auc:0.709459 train-auc:0.888183
[210] eval-auc:0.70907 train-auc:0.888173
[211] eval-auc:0.70952 train-auc:0.88854
[212] eval-auc:0.710066 train-auc:0.889102
[213] eval-auc:0.710112 train-auc:0.88922
[214] eval-auc:0.710046 train-auc:0.889399
[215] eval-auc:0.709967 train-auc:0.890278
[216] eval-auc:0.709692 train-auc:0.890825
[217] eval-auc:0.709789 train-auc:0.891016
[218] eval-auc:0.709841 train-auc:0.891061
[219] eval-auc:0.709302 train-auc:0.89123
[220] eval-auc:0.708743 train-auc:0.891393
[221] eval-auc:0.708778 train-auc:0.891762
[222] eval-auc:0.708894 train-auc:0.891927
[223] eval-auc:0.709119 train-auc:0.89215
[224] eval-auc:0.709233 train-auc:0.892594
[225] eval-auc:0.709361 train-auc:0.892727
[226] eval-auc:0.709681 train-auc:0.893021
[227] eval-auc:0.709619 train-auc:0.892994
[228] eval-auc:0.709576 train-auc:0.893178
[229] eval-auc:0.709416 train-auc:0.893376
[230] eval-auc:0.70985 train-auc:0.893715
[231] eval-auc:0.709862 train-auc:0.894324
[232] eval-auc:0.709644 train-auc:0.894601
[233] eval-auc:0.709593 train-auc:0.895169
[234] eval-auc:0.709192 train-auc:0.895121
[235] eval-auc:0.709357 train-auc:0.895831
[236] eval-auc:0.70923 train-auc:0.895793
[237] eval-auc:0.709045 train-auc:0.896459
[238] eval-auc:0.709062 train-auc:0.89725
[239] eval-auc:0.708894 train-auc:0.897497
[240] eval-auc:0.70892 train-auc:0.897523
[241] eval-auc:0.708574 train-auc:0.898147
[242] eval-auc:0.708629 train-auc:0.8989
[243] eval-auc:0.709057 train-auc:0.899272
[244] eval-auc:0.7087 train-auc:0.900093
[245] eval-auc:0.708591 train-auc:0.900069
[246] eval-auc:0.708444 train-auc:0.900251
[247] eval-auc:0.708674 train-auc:0.90056
[248] eval-auc:0.708542 train-auc:0.900622
[249] eval-auc:0.708087 train-auc:0.900948
[250] eval-auc:0.707857 train-auc:0.901083
[251] eval-auc:0.707771 train-auc:0.901244
[252] eval-auc:0.708167 train-auc:0.901564
[253] eval-auc:0.707593 train-auc:0.902092
[254] eval-auc:0.708314 train-auc:0.902698
[255] eval-auc:0.708271 train-auc:0.903019
[256] eval-auc:0.708641 train-auc:0.903247
[257] eval-auc:0.708379 train-auc:0.90377
[258] eval-auc:0.708144 train-auc:0.904292
[259] eval-auc:0.70842 train-auc:0.904819
[260] eval-auc:0.708444 train-auc:0.904792
[261] eval-auc:0.708672 train-auc:0.905419
[262] eval-auc:0.708737 train-auc:0.90559
[263] eval-auc:0.708578 train-auc:0.905851
[264] eval-auc:0.708349 train-auc:0.905923
[265] eval-auc:0.708478 train-auc:0.906
[266] eval-auc:0.708604 train-auc:0.906126
[267] eval-auc:0.708881 train-auc:0.906517
[268] eval-auc:0.70909 train-auc:0.907036
[269] eval-auc:0.709335 train-auc:0.907219
[270] eval-auc:0.709736 train-auc:0.908096
[271] eval-auc:0.70959 train-auc:0.908638
[272] eval-auc:0.709207 train-auc:0.909304
Score 0.7092073846678605
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8500000000000001, 'eta': 0.1, 'eval_metric': 'auc', 'gamma': 0.55, 'max_depth': 3, 'min_child_weight': 1.0, 'n_estimators': 339.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.702485 train-auc:0.723761
[1] eval-auc:0.702327 train-auc:0.719447
[2] eval-auc:0.702786 train-auc:0.727499
[3] eval-auc:0.707816 train-auc:0.727381
[4] eval-auc:0.709143 train-auc:0.735813
[5] eval-auc:0.709126 train-auc:0.738187
[6] eval-auc:0.708413 train-auc:0.743664
[7] eval-auc:0.706291 train-auc:0.745669
[8] eval-auc:0.702025 train-auc:0.749649
[9] eval-auc:0.701594 train-auc:0.751651
[10] eval-auc:0.699871 train-auc:0.755271
[11] eval-auc:0.702914 train-auc:0.759124
[12] eval-auc:0.702527 train-auc:0.762777
[13] eval-auc:0.701923 train-auc:0.761408
[14] eval-auc:0.701026 train-auc:0.762721
[15] eval-auc:0.699842 train-auc:0.763494
[16] eval-auc:0.699603 train-auc:0.765136
[17] eval-auc:0.700975 train-auc:0.7677
[18] eval-auc:0.701868 train-auc:0.768909
[19] eval-auc:0.699907 train-auc:0.768
[20] eval-auc:0.699132 train-auc:0.770589
[21] eval-auc:0.698402 train-auc:0.773669
[22] eval-auc:0.698949 train-auc:0.774527
[23] eval-auc:0.69987 train-auc:0.778722
[24] eval-auc:0.699692 train-auc:0.780741
[25] eval-auc:0.700155 train-auc:0.783179
[26] eval-auc:0.701683 train-auc:0.784846
[27] eval-auc:0.70218 train-auc:0.784696
[28] eval-auc:0.701972 train-auc:0.786571
[29] eval-auc:0.701918 train-auc:0.786877
[30] eval-auc:0.70252 train-auc:0.787946
[31] eval-auc:0.703517 train-auc:0.790871
[32] eval-auc:0.704396 train-auc:0.792345
[33] eval-auc:0.705188 train-auc:0.79308
[34] eval-auc:0.705567 train-auc:0.79466
[35] eval-auc:0.704503 train-auc:0.796029
[36] eval-auc:0.703662 train-auc:0.796662
[37] eval-auc:0.703542 train-auc:0.797146
[38] eval-auc:0.704763 train-auc:0.798639
[39] eval-auc:0.704543 train-auc:0.798897
[40] eval-auc:0.704802 train-auc:0.800419
[41] eval-auc:0.70477 train-auc:0.80119
[42] eval-auc:0.705206 train-auc:0.801346
[43] eval-auc:0.705184 train-auc:0.804307
[44] eval-auc:0.704954 train-auc:0.805462
[45] eval-auc:0.704818 train-auc:0.805203
[46] eval-auc:0.705257 train-auc:0.806058
[47] eval-auc:0.705532 train-auc:0.809326
[48] eval-auc:0.706001 train-auc:0.810295
[49] eval-auc:0.705771 train-auc:0.811066
[50] eval-auc:0.705676 train-auc:0.812338
[51] eval-auc:0.705467 train-auc:0.813153
[52] eval-auc:0.705331 train-auc:0.812889
[53] eval-auc:0.707611 train-auc:0.817337
[54] eval-auc:0.707452 train-auc:0.816962
[55] eval-auc:0.707434 train-auc:0.816986
[56] eval-auc:0.708482 train-auc:0.817861
[57] eval-auc:0.708602 train-auc:0.819653
[58] eval-auc:0.708205 train-auc:0.820973
[59] eval-auc:0.709145 train-auc:0.823667
[60] eval-auc:0.708086 train-auc:0.825304
[61] eval-auc:0.707034 train-auc:0.827171
[62] eval-auc:0.706868 train-auc:0.827181
[63] eval-auc:0.70794 train-auc:0.82803
[64] eval-auc:0.708144 train-auc:0.828592
[65] eval-auc:0.707126 train-auc:0.829599
[66] eval-auc:0.708189 train-auc:0.831018
[67] eval-auc:0.708449 train-auc:0.83437
[68] eval-auc:0.708312 train-auc:0.836696
[69] eval-auc:0.707924 train-auc:0.837519
[70] eval-auc:0.708108 train-auc:0.838328
[71] eval-auc:0.708595 train-auc:0.839087
[72] eval-auc:0.70976 train-auc:0.840439
[73] eval-auc:0.71038 train-auc:0.84156
[74] eval-auc:0.710214 train-auc:0.843836
[75] eval-auc:0.71013 train-auc:0.844162
[76] eval-auc:0.709669 train-auc:0.844813
[77] eval-auc:0.709379 train-auc:0.846612
[78] eval-auc:0.710177 train-auc:0.848213
[79] eval-auc:0.710428 train-auc:0.849353
[80] eval-auc:0.710551 train-auc:0.850783
[81] eval-auc:0.711241 train-auc:0.851926
[82] eval-auc:0.711183 train-auc:0.852
[83] eval-auc:0.711539 train-auc:0.85289
[84] eval-auc:0.711408 train-auc:0.853082
[85] eval-auc:0.711031 train-auc:0.854356
[86] eval-auc:0.711049 train-auc:0.855139
[87] eval-auc:0.711235 train-auc:0.855955
[88] eval-auc:0.711507 train-auc:0.856867
[89] eval-auc:0.712077 train-auc:0.857781
[90] eval-auc:0.712691 train-auc:0.858611
[91] eval-auc:0.713186 train-auc:0.860479
[92] eval-auc:0.712814 train-auc:0.861848
[93] eval-auc:0.713766 train-auc:0.862855
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[95] eval-auc:0.713576 train-auc:0.864137
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[97] eval-auc:0.714092 train-auc:0.865498
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[100] eval-auc:0.713438 train-auc:0.867692
[101] eval-auc:0.712903 train-auc:0.86801
[102] eval-auc:0.711385 train-auc:0.869212
[103] eval-auc:0.71181 train-auc:0.870018
[104] eval-auc:0.712848 train-auc:0.870563
[105] eval-auc:0.713605 train-auc:0.871666
[106] eval-auc:0.713048 train-auc:0.872148
[107] eval-auc:0.713262 train-auc:0.872524
[108] eval-auc:0.713115 train-auc:0.872908
[109] eval-auc:0.71315 train-auc:0.873657
[110] eval-auc:0.713937 train-auc:0.874246
[111] eval-auc:0.714071 train-auc:0.875151
[112] eval-auc:0.713521 train-auc:0.875438
[113] eval-auc:0.714229 train-auc:0.875514
[114] eval-auc:0.714283 train-auc:0.876356
[115] eval-auc:0.713427 train-auc:0.876664
[116] eval-auc:0.713323 train-auc:0.876885
[117] eval-auc:0.713666 train-auc:0.877332
[118] eval-auc:0.713632 train-auc:0.877732
[119] eval-auc:0.713648 train-auc:0.877788
[120] eval-auc:0.713664 train-auc:0.877819
[121] eval-auc:0.713561 train-auc:0.878171
[122] eval-auc:0.71302 train-auc:0.878748
[123] eval-auc:0.713502 train-auc:0.87926
[124] eval-auc:0.713935 train-auc:0.879521
[125] eval-auc:0.713846 train-auc:0.879619
[126] eval-auc:0.71258 train-auc:0.880279
[127] eval-auc:0.712672 train-auc:0.88152
[128] eval-auc:0.712763 train-auc:0.882029
[129] eval-auc:0.711941 train-auc:0.882245
[130] eval-auc:0.712452 train-auc:0.883522
[131] eval-auc:0.711667 train-auc:0.883829
[132] eval-auc:0.712678 train-auc:0.884994
[133] eval-auc:0.713008 train-auc:0.885628
[134] eval-auc:0.713026 train-auc:0.885644
[135] eval-auc:0.712988 train-auc:0.885754
[136] eval-auc:0.712533 train-auc:0.88599
[137] eval-auc:0.712775 train-auc:0.886221
[138] eval-auc:0.712158 train-auc:0.886585
[139] eval-auc:0.712171 train-auc:0.886588
[140] eval-auc:0.712063 train-auc:0.886903
[141] eval-auc:0.712077 train-auc:0.886955
[142] eval-auc:0.712024 train-auc:0.887537
[143] eval-auc:0.711763 train-auc:0.887808
[144] eval-auc:0.712602 train-auc:0.889455
[145] eval-auc:0.712613 train-auc:0.889629
[146] eval-auc:0.712362 train-auc:0.889744
[147] eval-auc:0.712536 train-auc:0.89021
[148] eval-auc:0.712018 train-auc:0.890875
[149] eval-auc:0.711677 train-auc:0.891818
[150] eval-auc:0.711676 train-auc:0.892276
[151] eval-auc:0.711964 train-auc:0.892895
[152] eval-auc:0.712888 train-auc:0.893704
[153] eval-auc:0.712748 train-auc:0.894529
[154] eval-auc:0.712777 train-auc:0.895317
[155] eval-auc:0.712979 train-auc:0.895465
[156] eval-auc:0.713194 train-auc:0.895798
[157] eval-auc:0.713878 train-auc:0.896077
[158] eval-auc:0.714345 train-auc:0.897176
[159] eval-auc:0.714494 train-auc:0.897537
[160] eval-auc:0.714406 train-auc:0.897815
[161] eval-auc:0.714572 train-auc:0.898841
[162] eval-auc:0.714689 train-auc:0.89913
[163] eval-auc:0.714577 train-auc:0.899144
[164] eval-auc:0.714497 train-auc:0.899141
[165] eval-auc:0.714606 train-auc:0.89924
[166] eval-auc:0.714683 train-auc:0.899396
[167] eval-auc:0.71511 train-auc:0.899398
[168] eval-auc:0.715114 train-auc:0.90009
[169] eval-auc:0.715201 train-auc:0.9003
[170] eval-auc:0.71412 train-auc:0.900693
[171] eval-auc:0.714185 train-auc:0.901843
[172] eval-auc:0.714365 train-auc:0.902207
[173] eval-auc:0.714313 train-auc:0.902192
[174] eval-auc:0.713987 train-auc:0.902302
[175] eval-auc:0.713099 train-auc:0.902663
[176] eval-auc:0.712839 train-auc:0.9027
[177] eval-auc:0.712859 train-auc:0.902717
[178] eval-auc:0.712423 train-auc:0.903124
[179] eval-auc:0.712772 train-auc:0.903965
[180] eval-auc:0.712437 train-auc:0.904002
[181] eval-auc:0.712673 train-auc:0.904334
[182] eval-auc:0.712643 train-auc:0.904795
[183] eval-auc:0.713326 train-auc:0.905531
[184] eval-auc:0.712321 train-auc:0.90613
[185] eval-auc:0.712119 train-auc:0.906137
[186] eval-auc:0.711989 train-auc:0.90634
[187] eval-auc:0.712285 train-auc:0.906691
[188] eval-auc:0.712034 train-auc:0.907535
[189] eval-auc:0.712043 train-auc:0.907988
[190] eval-auc:0.712382 train-auc:0.908141
[191] eval-auc:0.711807 train-auc:0.908251
[192] eval-auc:0.71211 train-auc:0.908861
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[195] eval-auc:0.711627 train-auc:0.909571
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[200] eval-auc:0.711534 train-auc:0.911654
[201] eval-auc:0.711577 train-auc:0.912128
[202] eval-auc:0.711764 train-auc:0.912256
[203] eval-auc:0.71186 train-auc:0.913756
[204] eval-auc:0.711718 train-auc:0.914376
[205] eval-auc:0.711773 train-auc:0.914509
[206] eval-auc:0.711817 train-auc:0.915025
[207] eval-auc:0.71207 train-auc:0.915365
[208] eval-auc:0.71188 train-auc:0.915346
[209] eval-auc:0.710605 train-auc:0.916121
[210] eval-auc:0.710217 train-auc:0.916148
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[225] eval-auc:0.711326 train-auc:0.921128
[226] eval-auc:0.711476 train-auc:0.921216
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[228] eval-auc:0.71153 train-auc:0.921587
[229] eval-auc:0.711496 train-auc:0.921648
[230] eval-auc:0.711438 train-auc:0.922366
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[232] eval-auc:0.711813 train-auc:0.922752
[233] eval-auc:0.711595 train-auc:0.922969
[234] eval-auc:0.711367 train-auc:0.923091
[235] eval-auc:0.711388 train-auc:0.923096
[236] eval-auc:0.711616 train-auc:0.923463
[237] eval-auc:0.711851 train-auc:0.923657
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[240] eval-auc:0.711594 train-auc:0.924116
[241] eval-auc:0.711836 train-auc:0.924348
[242] eval-auc:0.711816 train-auc:0.924328
[243] eval-auc:0.710987 train-auc:0.925004
[244] eval-auc:0.710829 train-auc:0.925071
[245] eval-auc:0.710917 train-auc:0.926095
[246] eval-auc:0.710687 train-auc:0.92653
[247] eval-auc:0.710684 train-auc:0.927002
[248] eval-auc:0.71087 train-auc:0.927259
[249] eval-auc:0.709938 train-auc:0.927764
[250] eval-auc:0.70992 train-auc:0.927937
[251] eval-auc:0.710052 train-auc:0.928075
[252] eval-auc:0.710007 train-auc:0.928312
[253] eval-auc:0.709992 train-auc:0.928285
[254] eval-auc:0.709865 train-auc:0.928346
[255] eval-auc:0.709821 train-auc:0.928612
[256] eval-auc:0.710059 train-auc:0.928961
[257] eval-auc:0.710068 train-auc:0.929081
[258] eval-auc:0.710244 train-auc:0.929408
[259] eval-auc:0.710231 train-auc:0.929603
[260] eval-auc:0.710413 train-auc:0.92957
[261] eval-auc:0.709938 train-auc:0.929859
[262] eval-auc:0.710423 train-auc:0.93049
[263] eval-auc:0.710299 train-auc:0.930487
[264] eval-auc:0.710295 train-auc:0.930482
[265] eval-auc:0.710459 train-auc:0.930696
[266] eval-auc:0.710331 train-auc:0.931071
[267] eval-auc:0.710179 train-auc:0.931058
[268] eval-auc:0.71003 train-auc:0.93102
[269] eval-auc:0.709756 train-auc:0.931078
[270] eval-auc:0.709753 train-auc:0.931279
[271] eval-auc:0.70994 train-auc:0.931843
[272] eval-auc:0.710097 train-auc:0.932393
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[274] eval-auc:0.710371 train-auc:0.932987
[275] eval-auc:0.710436 train-auc:0.933272
[276] eval-auc:0.710284 train-auc:0.933515
[277] eval-auc:0.709768 train-auc:0.933618
[278] eval-auc:0.709795 train-auc:0.933814
[279] eval-auc:0.709626 train-auc:0.934185
[280] eval-auc:0.709748 train-auc:0.934571
[281] eval-auc:0.710027 train-auc:0.934835
[282] eval-auc:0.710199 train-auc:0.935386
[283] eval-auc:0.70976 train-auc:0.935564
[284] eval-auc:0.708741 train-auc:0.935932
[285] eval-auc:0.708476 train-auc:0.935965
[286] eval-auc:0.708254 train-auc:0.936342
[287] eval-auc:0.708367 train-auc:0.936441
[288] eval-auc:0.708452 train-auc:0.936612
[289] eval-auc:0.708466 train-auc:0.936809
[290] eval-auc:0.708362 train-auc:0.936954
[291] eval-auc:0.708383 train-auc:0.937021
[292] eval-auc:0.708772 train-auc:0.937165
[293] eval-auc:0.708754 train-auc:0.937412
[294] eval-auc:0.708612 train-auc:0.937594
[295] eval-auc:0.708819 train-auc:0.937774
[296] eval-auc:0.708975 train-auc:0.937776
[297] eval-auc:0.708907 train-auc:0.937873
[298] eval-auc:0.709407 train-auc:0.938128
[299] eval-auc:0.709751 train-auc:0.93857
[300] eval-auc:0.709803 train-auc:0.938558
[301] eval-auc:0.709721 train-auc:0.938926
[302] eval-auc:0.709786 train-auc:0.938892
[303] eval-auc:0.709923 train-auc:0.938941
[304] eval-auc:0.71004 train-auc:0.939148
[305] eval-auc:0.710716 train-auc:0.939533
[306] eval-auc:0.711289 train-auc:0.939798
[307] eval-auc:0.711172 train-auc:0.939916
[308] eval-auc:0.711176 train-auc:0.939924
[309] eval-auc:0.71115 train-auc:0.940326
[310] eval-auc:0.711263 train-auc:0.940426
[311] eval-auc:0.711108 train-auc:0.94042
[312] eval-auc:0.71094 train-auc:0.940471
[313] eval-auc:0.710853 train-auc:0.940531
[314] eval-auc:0.711105 train-auc:0.940906
[315] eval-auc:0.711013 train-auc:0.941035
[316] eval-auc:0.710965 train-auc:0.941167
[317] eval-auc:0.71149 train-auc:0.94144
[318] eval-auc:0.711666 train-auc:0.941588
[319] eval-auc:0.711585 train-auc:0.942101
[320] eval-auc:0.711588 train-auc:0.94222
[321] eval-auc:0.711799 train-auc:0.942436
[322] eval-auc:0.711627 train-auc:0.942391
[323] eval-auc:0.711594 train-auc:0.942688
[324] eval-auc:0.711073 train-auc:0.942756
[325] eval-auc:0.711208 train-auc:0.942974
[326] eval-auc:0.712037 train-auc:0.943337
[327] eval-auc:0.712285 train-auc:0.943585
[328] eval-auc:0.712155 train-auc:0.943588
[329] eval-auc:0.71246 train-auc:0.943752
[330] eval-auc:0.712398 train-auc:0.94374
[331] eval-auc:0.712396 train-auc:0.944082
[332] eval-auc:0.71255 train-auc:0.944121
[333] eval-auc:0.712693 train-auc:0.94427
[334] eval-auc:0.71286 train-auc:0.944406
[335] eval-auc:0.712624 train-auc:0.94473
[336] eval-auc:0.712554 train-auc:0.945121
[337] eval-auc:0.712751 train-auc:0.945222
[338] eval-auc:0.712492 train-auc:0.945259
Score 0.712491929491162
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8, 'eta': 0.1, 'eval_metric': 'auc', 'gamma': 0.55, 'max_depth': 3, 'min_child_weight': 1.0, 'n_estimators': 573.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.702485 train-auc:0.723761
[1] eval-auc:0.684266 train-auc:0.727677
[2] eval-auc:0.689358 train-auc:0.73567
[3] eval-auc:0.69886 train-auc:0.73192
[4] eval-auc:0.698239 train-auc:0.731555
[5] eval-auc:0.703109 train-auc:0.737844
[6] eval-auc:0.705363 train-auc:0.741043
[7] eval-auc:0.707702 train-auc:0.747347
[8] eval-auc:0.700179 train-auc:0.750669
[9] eval-auc:0.69997 train-auc:0.751066
[10] eval-auc:0.702514 train-auc:0.755057
[11] eval-auc:0.700144 train-auc:0.754888
[12] eval-auc:0.701055 train-auc:0.756004
[13] eval-auc:0.700229 train-auc:0.754387
[14] eval-auc:0.70065 train-auc:0.755384
[15] eval-auc:0.700734 train-auc:0.759579
[16] eval-auc:0.70097 train-auc:0.757425
[17] eval-auc:0.698934 train-auc:0.762946
[18] eval-auc:0.698953 train-auc:0.764825
[19] eval-auc:0.699042 train-auc:0.76876
[20] eval-auc:0.698934 train-auc:0.771839
[21] eval-auc:0.696266 train-auc:0.775462
[22] eval-auc:0.696823 train-auc:0.777602
[23] eval-auc:0.696623 train-auc:0.780459
[24] eval-auc:0.697156 train-auc:0.780788
[25] eval-auc:0.699138 train-auc:0.783424
[26] eval-auc:0.699143 train-auc:0.785364
[27] eval-auc:0.701545 train-auc:0.788935
[28] eval-auc:0.701663 train-auc:0.788715
[29] eval-auc:0.701634 train-auc:0.790441
[30] eval-auc:0.702478 train-auc:0.792527
[31] eval-auc:0.702226 train-auc:0.793539
[32] eval-auc:0.703146 train-auc:0.793534
[33] eval-auc:0.70337 train-auc:0.793956
[34] eval-auc:0.702883 train-auc:0.797074
[35] eval-auc:0.70171 train-auc:0.798786
[36] eval-auc:0.702122 train-auc:0.799851
[37] eval-auc:0.702625 train-auc:0.802611
[38] eval-auc:0.702803 train-auc:0.802696
[39] eval-auc:0.702959 train-auc:0.804013
[40] eval-auc:0.703681 train-auc:0.805265
[41] eval-auc:0.703775 train-auc:0.805588
[42] eval-auc:0.703566 train-auc:0.8055
[43] eval-auc:0.703625 train-auc:0.807296
[44] eval-auc:0.70429 train-auc:0.810211
[45] eval-auc:0.703976 train-auc:0.811044
[46] eval-auc:0.703988 train-auc:0.811077
[47] eval-auc:0.703727 train-auc:0.811922
[48] eval-auc:0.70266 train-auc:0.813391
[49] eval-auc:0.703719 train-auc:0.81506
[50] eval-auc:0.702726 train-auc:0.81688
[51] eval-auc:0.702939 train-auc:0.817804
[52] eval-auc:0.704922 train-auc:0.818276
[53] eval-auc:0.705078 train-auc:0.81839
[54] eval-auc:0.705177 train-auc:0.817999
[55] eval-auc:0.706234 train-auc:0.819573
[56] eval-auc:0.706383 train-auc:0.8196
[57] eval-auc:0.707017 train-auc:0.823681
[58] eval-auc:0.707126 train-auc:0.824331
[59] eval-auc:0.709108 train-auc:0.827053
[60] eval-auc:0.708649 train-auc:0.828089
[61] eval-auc:0.708119 train-auc:0.82859
[62] eval-auc:0.707213 train-auc:0.829683
[63] eval-auc:0.708769 train-auc:0.832465
[64] eval-auc:0.708699 train-auc:0.83328
[65] eval-auc:0.708793 train-auc:0.83338
[66] eval-auc:0.708493 train-auc:0.835178
[67] eval-auc:0.708179 train-auc:0.836064
[68] eval-auc:0.706787 train-auc:0.83771
[69] eval-auc:0.706837 train-auc:0.838976
[70] eval-auc:0.70702 train-auc:0.840227
[71] eval-auc:0.706796 train-auc:0.840514
[72] eval-auc:0.707752 train-auc:0.84172
[73] eval-auc:0.707223 train-auc:0.841769
[74] eval-auc:0.706106 train-auc:0.842462
[75] eval-auc:0.706463 train-auc:0.844088
[76] eval-auc:0.707024 train-auc:0.844766
[77] eval-auc:0.706845 train-auc:0.846281
[78] eval-auc:0.706785 train-auc:0.84701
[79] eval-auc:0.7068 train-auc:0.848314
[80] eval-auc:0.706736 train-auc:0.848717
[81] eval-auc:0.707449 train-auc:0.850235
[82] eval-auc:0.706568 train-auc:0.851464
[83] eval-auc:0.707394 train-auc:0.852201
[84] eval-auc:0.707426 train-auc:0.852369
[85] eval-auc:0.707852 train-auc:0.852682
[86] eval-auc:0.70831 train-auc:0.853747
[87] eval-auc:0.708481 train-auc:0.855308
[88] eval-auc:0.707164 train-auc:0.856532
[89] eval-auc:0.707965 train-auc:0.858102
[90] eval-auc:0.70798 train-auc:0.858223
[91] eval-auc:0.708161 train-auc:0.85884
[92] eval-auc:0.707292 train-auc:0.859493
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[94] eval-auc:0.707605 train-auc:0.861517
[95] eval-auc:0.707196 train-auc:0.862025
[96] eval-auc:0.7069 train-auc:0.862726
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[98] eval-auc:0.70666 train-auc:0.864034
[99] eval-auc:0.70705 train-auc:0.864737
[100] eval-auc:0.70768 train-auc:0.86545
[101] eval-auc:0.70698 train-auc:0.865891
[102] eval-auc:0.707484 train-auc:0.866754
[103] eval-auc:0.708081 train-auc:0.868052
[104] eval-auc:0.707351 train-auc:0.868522
[105] eval-auc:0.707453 train-auc:0.868491
[106] eval-auc:0.707013 train-auc:0.868961
[107] eval-auc:0.707813 train-auc:0.869613
[108] eval-auc:0.70782 train-auc:0.869664
[109] eval-auc:0.707426 train-auc:0.870418
[110] eval-auc:0.708004 train-auc:0.871314
[111] eval-auc:0.709103 train-auc:0.871865
[112] eval-auc:0.709702 train-auc:0.87266
[113] eval-auc:0.709316 train-auc:0.873155
[114] eval-auc:0.708636 train-auc:0.873433
[115] eval-auc:0.707812 train-auc:0.873802
[116] eval-auc:0.707631 train-auc:0.873917
[117] eval-auc:0.707641 train-auc:0.873956
[118] eval-auc:0.707653 train-auc:0.873976
[119] eval-auc:0.707868 train-auc:0.874475
[120] eval-auc:0.70788 train-auc:0.874519
[121] eval-auc:0.708167 train-auc:0.874982
[122] eval-auc:0.708322 train-auc:0.875173
[123] eval-auc:0.708935 train-auc:0.876199
[124] eval-auc:0.708622 train-auc:0.876595
[125] eval-auc:0.708591 train-auc:0.877356
[126] eval-auc:0.708084 train-auc:0.878571
[127] eval-auc:0.70809 train-auc:0.878579
[128] eval-auc:0.707797 train-auc:0.878553
[129] eval-auc:0.708137 train-auc:0.879315
[130] eval-auc:0.70794 train-auc:0.87933
[131] eval-auc:0.708144 train-auc:0.880002
[132] eval-auc:0.707843 train-auc:0.880704
[133] eval-auc:0.707921 train-auc:0.881004
[134] eval-auc:0.708128 train-auc:0.881825
[135] eval-auc:0.708597 train-auc:0.881934
[136] eval-auc:0.707921 train-auc:0.882489
[137] eval-auc:0.707406 train-auc:0.882792
[138] eval-auc:0.706934 train-auc:0.88296
[139] eval-auc:0.706552 train-auc:0.884305
[140] eval-auc:0.706422 train-auc:0.884761
[141] eval-auc:0.707353 train-auc:0.885766
[142] eval-auc:0.707309 train-auc:0.886343
[143] eval-auc:0.708047 train-auc:0.886972
[144] eval-auc:0.708259 train-auc:0.8872
[145] eval-auc:0.708557 train-auc:0.887377
[146] eval-auc:0.708723 train-auc:0.887595
[147] eval-auc:0.708735 train-auc:0.88762
[148] eval-auc:0.708743 train-auc:0.888275
[149] eval-auc:0.708604 train-auc:0.888369
[150] eval-auc:0.708522 train-auc:0.888605
[151] eval-auc:0.708355 train-auc:0.888789
[152] eval-auc:0.707905 train-auc:0.889077
[153] eval-auc:0.707703 train-auc:0.889352
[154] eval-auc:0.707451 train-auc:0.889507
[155] eval-auc:0.707758 train-auc:0.889789
[156] eval-auc:0.708006 train-auc:0.890175
[157] eval-auc:0.708001 train-auc:0.890613
[158] eval-auc:0.708106 train-auc:0.891332
[159] eval-auc:0.708111 train-auc:0.891717
[160] eval-auc:0.708218 train-auc:0.891857
[161] eval-auc:0.708586 train-auc:0.892378
[162] eval-auc:0.708811 train-auc:0.893257
[163] eval-auc:0.709023 train-auc:0.893955
[164] eval-auc:0.709186 train-auc:0.89428
[165] eval-auc:0.708862 train-auc:0.894806
[166] eval-auc:0.708688 train-auc:0.895505
[167] eval-auc:0.70968 train-auc:0.896173
[168] eval-auc:0.710429 train-auc:0.896767
[169] eval-auc:0.709984 train-auc:0.896921
[170] eval-auc:0.710037 train-auc:0.897207
[171] eval-auc:0.710162 train-auc:0.897308
[172] eval-auc:0.709993 train-auc:0.897363
[173] eval-auc:0.710279 train-auc:0.897586
[174] eval-auc:0.710773 train-auc:0.897852
[175] eval-auc:0.709783 train-auc:0.898241
[176] eval-auc:0.709584 train-auc:0.898375
[177] eval-auc:0.709474 train-auc:0.89849
[178] eval-auc:0.709751 train-auc:0.899495
[179] eval-auc:0.709718 train-auc:0.899717
[180] eval-auc:0.709812 train-auc:0.899942
[181] eval-auc:0.709354 train-auc:0.900081
[182] eval-auc:0.708417 train-auc:0.900356
[183] eval-auc:0.708956 train-auc:0.901328
[184] eval-auc:0.709035 train-auc:0.90201
[185] eval-auc:0.709319 train-auc:0.902763
[186] eval-auc:0.708679 train-auc:0.902905
[187] eval-auc:0.708394 train-auc:0.903209
[188] eval-auc:0.708291 train-auc:0.903671
[189] eval-auc:0.708155 train-auc:0.903741
[190] eval-auc:0.708677 train-auc:0.904152
[191] eval-auc:0.708985 train-auc:0.90426
[192] eval-auc:0.708981 train-auc:0.904412
[193] eval-auc:0.709148 train-auc:0.904561
[194] eval-auc:0.709839 train-auc:0.905317
[195] eval-auc:0.710412 train-auc:0.906407
[196] eval-auc:0.710439 train-auc:0.906716
[197] eval-auc:0.71003 train-auc:0.907845
[198] eval-auc:0.70992 train-auc:0.908566
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[567] eval-auc:0.704916 train-auc:0.971303
[568] eval-auc:0.704901 train-auc:0.97133
[569] eval-auc:0.704787 train-auc:0.971407
[570] eval-auc:0.70491 train-auc:0.971443
[571] eval-auc:0.704999 train-auc:0.971553
[572] eval-auc:0.704788 train-auc:0.971633
Score 0.7047884003946935
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8500000000000001, 'eta': 0.25, 'eval_metric': 'auc', 'gamma': 0.55, 'max_depth': 3, 'min_child_weight': 6.0, 'n_estimators': 334.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.701117 train-auc:0.723441
[1] eval-auc:0.690456 train-auc:0.726732
[2] eval-auc:0.68923 train-auc:0.743408
[3] eval-auc:0.695101 train-auc:0.743482
[4] eval-auc:0.694018 train-auc:0.751412
[5] eval-auc:0.689151 train-auc:0.76618
[6] eval-auc:0.69328 train-auc:0.767616
[7] eval-auc:0.6922 train-auc:0.770294
[8] eval-auc:0.689189 train-auc:0.772236
[9] eval-auc:0.690573 train-auc:0.775967
[10] eval-auc:0.689923 train-auc:0.781659
[11] eval-auc:0.68995 train-auc:0.7871
[12] eval-auc:0.690603 train-auc:0.787422
[13] eval-auc:0.692713 train-auc:0.792316
[14] eval-auc:0.695827 train-auc:0.797378
[15] eval-auc:0.691876 train-auc:0.800034
[16] eval-auc:0.691911 train-auc:0.800917
[17] eval-auc:0.691387 train-auc:0.803478
[18] eval-auc:0.693873 train-auc:0.805739
[19] eval-auc:0.696192 train-auc:0.808279
[20] eval-auc:0.695736 train-auc:0.813155
[21] eval-auc:0.698691 train-auc:0.820721
[22] eval-auc:0.699122 train-auc:0.821464
[23] eval-auc:0.702264 train-auc:0.824225
[24] eval-auc:0.703355 train-auc:0.82514
[25] eval-auc:0.703126 train-auc:0.827637
[26] eval-auc:0.702762 train-auc:0.829113
[27] eval-auc:0.701226 train-auc:0.831803
[28] eval-auc:0.700886 train-auc:0.833851
[29] eval-auc:0.700917 train-auc:0.834845
[30] eval-auc:0.703308 train-auc:0.839195
[31] eval-auc:0.701586 train-auc:0.841083
[32] eval-auc:0.703911 train-auc:0.843428
[33] eval-auc:0.70176 train-auc:0.845255
[34] eval-auc:0.702291 train-auc:0.848545
[35] eval-auc:0.702046 train-auc:0.850412
[36] eval-auc:0.703582 train-auc:0.852185
[37] eval-auc:0.704303 train-auc:0.855491
[38] eval-auc:0.705037 train-auc:0.857974
[39] eval-auc:0.705924 train-auc:0.858772
[40] eval-auc:0.70408 train-auc:0.861403
[41] eval-auc:0.702788 train-auc:0.862005
[42] eval-auc:0.701944 train-auc:0.863138
[43] eval-auc:0.702096 train-auc:0.866032
[44] eval-auc:0.701892 train-auc:0.867196
[45] eval-auc:0.702769 train-auc:0.868644
[46] eval-auc:0.702702 train-auc:0.869604
[47] eval-auc:0.702433 train-auc:0.870294
[48] eval-auc:0.701875 train-auc:0.872105
[49] eval-auc:0.701492 train-auc:0.873344
[50] eval-auc:0.703218 train-auc:0.874532
[51] eval-auc:0.70288 train-auc:0.874931
[52] eval-auc:0.703672 train-auc:0.876305
[53] eval-auc:0.704418 train-auc:0.876732
[54] eval-auc:0.705107 train-auc:0.877281
[55] eval-auc:0.706725 train-auc:0.878951
[56] eval-auc:0.708125 train-auc:0.881556
[57] eval-auc:0.70875 train-auc:0.882758
[58] eval-auc:0.707765 train-auc:0.884901
[59] eval-auc:0.707837 train-auc:0.88539
[60] eval-auc:0.707939 train-auc:0.885389
[61] eval-auc:0.707771 train-auc:0.887002
[62] eval-auc:0.708272 train-auc:0.887698
[63] eval-auc:0.706771 train-auc:0.888491
[64] eval-auc:0.707007 train-auc:0.888892
[65] eval-auc:0.707325 train-auc:0.889847
[66] eval-auc:0.707626 train-auc:0.890157
[67] eval-auc:0.707602 train-auc:0.893376
[68] eval-auc:0.707397 train-auc:0.894713
[69] eval-auc:0.709661 train-auc:0.89688
[70] eval-auc:0.710514 train-auc:0.897886
[71] eval-auc:0.709664 train-auc:0.901029
[72] eval-auc:0.709567 train-auc:0.903102
[73] eval-auc:0.709949 train-auc:0.903905
[74] eval-auc:0.709233 train-auc:0.905108
[75] eval-auc:0.708677 train-auc:0.905903
[76] eval-auc:0.709883 train-auc:0.907803
[77] eval-auc:0.711277 train-auc:0.90851
[78] eval-auc:0.710914 train-auc:0.909441
[79] eval-auc:0.710296 train-auc:0.909553
[80] eval-auc:0.709999 train-auc:0.910136
[81] eval-auc:0.709023 train-auc:0.910208
[82] eval-auc:0.708452 train-auc:0.911804
[83] eval-auc:0.708533 train-auc:0.912823
[84] eval-auc:0.710266 train-auc:0.914073
[85] eval-auc:0.709742 train-auc:0.915087
[86] eval-auc:0.710307 train-auc:0.915453
[87] eval-auc:0.71025 train-auc:0.916302
[88] eval-auc:0.709972 train-auc:0.91646
[89] eval-auc:0.70996 train-auc:0.916863
[90] eval-auc:0.710223 train-auc:0.916982
[91] eval-auc:0.709996 train-auc:0.917456
[92] eval-auc:0.709207 train-auc:0.9188
[93] eval-auc:0.708387 train-auc:0.919801
[94] eval-auc:0.708435 train-auc:0.921316
[95] eval-auc:0.707155 train-auc:0.921524
[96] eval-auc:0.707621 train-auc:0.922647
[97] eval-auc:0.706651 train-auc:0.922671
[98] eval-auc:0.706194 train-auc:0.923518
[99] eval-auc:0.706276 train-auc:0.923778
[100] eval-auc:0.706294 train-auc:0.924013
[101] eval-auc:0.707599 train-auc:0.924473
[102] eval-auc:0.707569 train-auc:0.924817
[103] eval-auc:0.708274 train-auc:0.925107
[104] eval-auc:0.708432 train-auc:0.925142
[105] eval-auc:0.708853 train-auc:0.925735
[106] eval-auc:0.707491 train-auc:0.926708
[107] eval-auc:0.707915 train-auc:0.927441
[108] eval-auc:0.706468 train-auc:0.928088
[109] eval-auc:0.70724 train-auc:0.928996
[110] eval-auc:0.70736 train-auc:0.929921
[111] eval-auc:0.707048 train-auc:0.930425
[112] eval-auc:0.707709 train-auc:0.932088
[113] eval-auc:0.707683 train-auc:0.932359
[114] eval-auc:0.707482 train-auc:0.932989
[115] eval-auc:0.707044 train-auc:0.933021
[116] eval-auc:0.706354 train-auc:0.93327
[117] eval-auc:0.706492 train-auc:0.933492
[118] eval-auc:0.706096 train-auc:0.933937
[119] eval-auc:0.706413 train-auc:0.934419
[120] eval-auc:0.706585 train-auc:0.934777
[121] eval-auc:0.706677 train-auc:0.934852
[122] eval-auc:0.705793 train-auc:0.935146
[123] eval-auc:0.705341 train-auc:0.935767
[124] eval-auc:0.706334 train-auc:0.936425
[125] eval-auc:0.70678 train-auc:0.936755
[126] eval-auc:0.706131 train-auc:0.936847
[127] eval-auc:0.706116 train-auc:0.937356
[128] eval-auc:0.706599 train-auc:0.938657
[129] eval-auc:0.706634 train-auc:0.93887
[130] eval-auc:0.706619 train-auc:0.938648
[131] eval-auc:0.706731 train-auc:0.939071
[132] eval-auc:0.707162 train-auc:0.939047
[133] eval-auc:0.70772 train-auc:0.939524
[134] eval-auc:0.706949 train-auc:0.939993
[135] eval-auc:0.707444 train-auc:0.940893
[136] eval-auc:0.707322 train-auc:0.941042
[137] eval-auc:0.706348 train-auc:0.941537
[138] eval-auc:0.706599 train-auc:0.94205
[139] eval-auc:0.706882 train-auc:0.942282
[140] eval-auc:0.706949 train-auc:0.942697
[141] eval-auc:0.706725 train-auc:0.942785
[142] eval-auc:0.706329 train-auc:0.943365
[143] eval-auc:0.705658 train-auc:0.94393
[144] eval-auc:0.705835 train-auc:0.944229
[145] eval-auc:0.706383 train-auc:0.945106
[146] eval-auc:0.706588 train-auc:0.945291
[147] eval-auc:0.706861 train-auc:0.945737
[148] eval-auc:0.70597 train-auc:0.94552
[149] eval-auc:0.705918 train-auc:0.945736
[150] eval-auc:0.706136 train-auc:0.946563
[151] eval-auc:0.705831 train-auc:0.946736
[152] eval-auc:0.705461 train-auc:0.946731
[153] eval-auc:0.705413 train-auc:0.946833
[154] eval-auc:0.706217 train-auc:0.94707
[155] eval-auc:0.706617 train-auc:0.947176
[156] eval-auc:0.706154 train-auc:0.947318
[157] eval-auc:0.706365 train-auc:0.947503
[158] eval-auc:0.706406 train-auc:0.94769
[159] eval-auc:0.706229 train-auc:0.94816
[160] eval-auc:0.707409 train-auc:0.948719
[161] eval-auc:0.707269 train-auc:0.948901
[162] eval-auc:0.707305 train-auc:0.949234
[163] eval-auc:0.707219 train-auc:0.949735
[164] eval-auc:0.707468 train-auc:0.949979
[165] eval-auc:0.707843 train-auc:0.950146
[166] eval-auc:0.707899 train-auc:0.950708
[167] eval-auc:0.708288 train-auc:0.951352
[168] eval-auc:0.707452 train-auc:0.951957
[169] eval-auc:0.707889 train-auc:0.952202
[170] eval-auc:0.707875 train-auc:0.952283
[171] eval-auc:0.707822 train-auc:0.952366
[172] eval-auc:0.708043 train-auc:0.952551
[173] eval-auc:0.707589 train-auc:0.952845
[174] eval-auc:0.706183 train-auc:0.953401
[175] eval-auc:0.706206 train-auc:0.953506
[176] eval-auc:0.706279 train-auc:0.95372
[177] eval-auc:0.705818 train-auc:0.954002
[178] eval-auc:0.705597 train-auc:0.954446
[179] eval-auc:0.705163 train-auc:0.954924
[180] eval-auc:0.704589 train-auc:0.95524
[181] eval-auc:0.70491 train-auc:0.955413
[182] eval-auc:0.706576 train-auc:0.955864
[183] eval-auc:0.706649 train-auc:0.955896
[184] eval-auc:0.707516 train-auc:0.956614
[185] eval-auc:0.707513 train-auc:0.956667
[186] eval-auc:0.7078 train-auc:0.956769
[187] eval-auc:0.707771 train-auc:0.956953
[188] eval-auc:0.707545 train-auc:0.956988
[189] eval-auc:0.707631 train-auc:0.957024
[190] eval-auc:0.707989 train-auc:0.957145
[191] eval-auc:0.708565 train-auc:0.95759
[192] eval-auc:0.707863 train-auc:0.957806
[193] eval-auc:0.70766 train-auc:0.958193
[194] eval-auc:0.707602 train-auc:0.95819
[195] eval-auc:0.707021 train-auc:0.958576
[196] eval-auc:0.707628 train-auc:0.958769
[197] eval-auc:0.70731 train-auc:0.958755
[198] eval-auc:0.707164 train-auc:0.958972
[199] eval-auc:0.7072 train-auc:0.95928
[200] eval-auc:0.706814 train-auc:0.959554
[201] eval-auc:0.708128 train-auc:0.95997
[202] eval-auc:0.707743 train-auc:0.960089
[203] eval-auc:0.707605 train-auc:0.960212
[204] eval-auc:0.707682 train-auc:0.960337
[205] eval-auc:0.707947 train-auc:0.960626
[206] eval-auc:0.707111 train-auc:0.961129
[207] eval-auc:0.707167 train-auc:0.961633
[208] eval-auc:0.706917 train-auc:0.961811
[209] eval-auc:0.707077 train-auc:0.962063
[210] eval-auc:0.707817 train-auc:0.962266
[211] eval-auc:0.7072 train-auc:0.962592
[212] eval-auc:0.706418 train-auc:0.963103
[213] eval-auc:0.706427 train-auc:0.963354
[214] eval-auc:0.706131 train-auc:0.963472
[215] eval-auc:0.705822 train-auc:0.963755
[216] eval-auc:0.70567 train-auc:0.963792
[217] eval-auc:0.704811 train-auc:0.963915
[218] eval-auc:0.704619 train-auc:0.963971
[219] eval-auc:0.704817 train-auc:0.963992
[220] eval-auc:0.705178 train-auc:0.964566
[221] eval-auc:0.705114 train-auc:0.964434
[222] eval-auc:0.704808 train-auc:0.964474
[223] eval-auc:0.704918 train-auc:0.964544
[224] eval-auc:0.705506 train-auc:0.964723
[225] eval-auc:0.706101 train-auc:0.965122
[226] eval-auc:0.706103 train-auc:0.965247
[227] eval-auc:0.705704 train-auc:0.965586
[228] eval-auc:0.70489 train-auc:0.965749
[229] eval-auc:0.704609 train-auc:0.965877
[230] eval-auc:0.704584 train-auc:0.966065
[231] eval-auc:0.705114 train-auc:0.966236
[232] eval-auc:0.705075 train-auc:0.966416
[233] eval-auc:0.704685 train-auc:0.966601
[234] eval-auc:0.704554 train-auc:0.966742
[235] eval-auc:0.703643 train-auc:0.967027
[236] eval-auc:0.703943 train-auc:0.967295
[237] eval-auc:0.70428 train-auc:0.967596
[238] eval-auc:0.704353 train-auc:0.96787
[239] eval-auc:0.704618 train-auc:0.967833
[240] eval-auc:0.704403 train-auc:0.9679
[241] eval-auc:0.70454 train-auc:0.968454
[242] eval-auc:0.704344 train-auc:0.968459
[243] eval-auc:0.704886 train-auc:0.968648
[244] eval-auc:0.705224 train-auc:0.96868
[245] eval-auc:0.705501 train-auc:0.96878
[246] eval-auc:0.705222 train-auc:0.968882
[247] eval-auc:0.705014 train-auc:0.969094
[248] eval-auc:0.705181 train-auc:0.969529
[249] eval-auc:0.704686 train-auc:0.96958
[250] eval-auc:0.704379 train-auc:0.969925
[251] eval-auc:0.70468 train-auc:0.969946
[252] eval-auc:0.70468 train-auc:0.970071
[253] eval-auc:0.704513 train-auc:0.970132
[254] eval-auc:0.704164 train-auc:0.970257
[255] eval-auc:0.70424 train-auc:0.970335
[256] eval-auc:0.704118 train-auc:0.970434
[257] eval-auc:0.703777 train-auc:0.970581
[258] eval-auc:0.703543 train-auc:0.970667
[259] eval-auc:0.702909 train-auc:0.970907
[260] eval-auc:0.702797 train-auc:0.971066
[261] eval-auc:0.702475 train-auc:0.971055
[262] eval-auc:0.702343 train-auc:0.971059
[263] eval-auc:0.702376 train-auc:0.971065
[264] eval-auc:0.702372 train-auc:0.971342
[265] eval-auc:0.702072 train-auc:0.971346
[266] eval-auc:0.702491 train-auc:0.97162
[267] eval-auc:0.702587 train-auc:0.971735
[268] eval-auc:0.702343 train-auc:0.971856
[269] eval-auc:0.702655 train-auc:0.972203
[270] eval-auc:0.702544 train-auc:0.972561
[271] eval-auc:0.702465 train-auc:0.972952
[272] eval-auc:0.702475 train-auc:0.973042
[273] eval-auc:0.702379 train-auc:0.973099
[274] eval-auc:0.702131 train-auc:0.973071
[275] eval-auc:0.70216 train-auc:0.97311
[276] eval-auc:0.702954 train-auc:0.973317
[277] eval-auc:0.703622 train-auc:0.973543
[278] eval-auc:0.703293 train-auc:0.97362
[279] eval-auc:0.704336 train-auc:0.973925
[280] eval-auc:0.704479 train-auc:0.974062
[281] eval-auc:0.70488 train-auc:0.974196
[282] eval-auc:0.704188 train-auc:0.974554
[283] eval-auc:0.7041 train-auc:0.974847
[284] eval-auc:0.703671 train-auc:0.97483
[285] eval-auc:0.703496 train-auc:0.974925
[286] eval-auc:0.703526 train-auc:0.974926
[287] eval-auc:0.703837 train-auc:0.975123
[288] eval-auc:0.702558 train-auc:0.975398
[289] eval-auc:0.70222 train-auc:0.97534
[290] eval-auc:0.702051 train-auc:0.975662
[291] eval-auc:0.701828 train-auc:0.975834
[292] eval-auc:0.702006 train-auc:0.976302
[293] eval-auc:0.701996 train-auc:0.976322
[294] eval-auc:0.701662 train-auc:0.976464
[295] eval-auc:0.701792 train-auc:0.976686
[296] eval-auc:0.701365 train-auc:0.976695
[297] eval-auc:0.701999 train-auc:0.976833
[298] eval-auc:0.701904 train-auc:0.976967
[299] eval-auc:0.701349 train-auc:0.977189
[300] eval-auc:0.701356 train-auc:0.977211
[301] eval-auc:0.701411 train-auc:0.977533
[302] eval-auc:0.701397 train-auc:0.977555
[303] eval-auc:0.701158 train-auc:0.977699
[304] eval-auc:0.701266 train-auc:0.977725
[305] eval-auc:0.701137 train-auc:0.978019
[306] eval-auc:0.701373 train-auc:0.978212
[307] eval-auc:0.701653 train-auc:0.978397
[308] eval-auc:0.701709 train-auc:0.978407
[309] eval-auc:0.701543 train-auc:0.978624
[310] eval-auc:0.701805 train-auc:0.978642
[311] eval-auc:0.70222 train-auc:0.978765
[312] eval-auc:0.702494 train-auc:0.97898
[313] eval-auc:0.702558 train-auc:0.979014
[314] eval-auc:0.702692 train-auc:0.979281
[315] eval-auc:0.702714 train-auc:0.979365
[316] eval-auc:0.702439 train-auc:0.979379
[317] eval-auc:0.701836 train-auc:0.979539
[318] eval-auc:0.7017 train-auc:0.979612
[319] eval-auc:0.701626 train-auc:0.980161
[320] eval-auc:0.701818 train-auc:0.980263
[321] eval-auc:0.701816 train-auc:0.980306
[322] eval-auc:0.701874 train-auc:0.980399
[323] eval-auc:0.701915 train-auc:0.980459
[324] eval-auc:0.701955 train-auc:0.980709
[325] eval-auc:0.702166 train-auc:0.980991
[326] eval-auc:0.701449 train-auc:0.981021
[327] eval-auc:0.701722 train-auc:0.98121
[328] eval-auc:0.700755 train-auc:0.981353
[329] eval-auc:0.701059 train-auc:0.981355
[330] eval-auc:0.700934 train-auc:0.981391
[331] eval-auc:0.700857 train-auc:0.981585
[332] eval-auc:0.701108 train-auc:0.98162
[333] eval-auc:0.700927 train-auc:0.98178
Score 0.7009267380526015
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.75, 'eta': 0.05, 'eval_metric': 'auc', 'gamma': 0.6000000000000001, 'max_depth': 3, 'min_child_weight': 1.0, 'n_estimators': 361.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.75, 'tree_method': 'exact'}
[0] eval-auc:0.657699 train-auc:0.698034
[1] eval-auc:0.656071 train-auc:0.707722
[2] eval-auc:0.67539 train-auc:0.718938
[3] eval-auc:0.677161 train-auc:0.724643
[4] eval-auc:0.683235 train-auc:0.734038
[5] eval-auc:0.681717 train-auc:0.731168
[6] eval-auc:0.685068 train-auc:0.735658
[7] eval-auc:0.684892 train-auc:0.736905
[8] eval-auc:0.690866 train-auc:0.741253
[9] eval-auc:0.694463 train-auc:0.738316
[10] eval-auc:0.693506 train-auc:0.741122
[11] eval-auc:0.691199 train-auc:0.740489
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[170] eval-auc:0.703008 train-auc:0.835919
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[173] eval-auc:0.702749 train-auc:0.837682
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[175] eval-auc:0.702139 train-auc:0.838749
[176] eval-auc:0.702207 train-auc:0.838962
[177] eval-auc:0.702607 train-auc:0.839186
[178] eval-auc:0.703059 train-auc:0.840117
[179] eval-auc:0.703532 train-auc:0.840965
[180] eval-auc:0.70357 train-auc:0.841058
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[182] eval-auc:0.702989 train-auc:0.841783
[183] eval-auc:0.702734 train-auc:0.842233
[184] eval-auc:0.703056 train-auc:0.842957
[185] eval-auc:0.702858 train-auc:0.843242
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[190] eval-auc:0.703758 train-auc:0.845764
[191] eval-auc:0.704207 train-auc:0.846215
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[201] eval-auc:0.705163 train-auc:0.850334
[202] eval-auc:0.705327 train-auc:0.851569
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[224] eval-auc:0.703831 train-auc:0.859812
[225] eval-auc:0.703675 train-auc:0.859983
[226] eval-auc:0.703413 train-auc:0.860355
[227] eval-auc:0.70354 train-auc:0.860482
[228] eval-auc:0.703266 train-auc:0.860928
[229] eval-auc:0.703461 train-auc:0.861753
[230] eval-auc:0.702999 train-auc:0.86205
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[250] eval-auc:0.702375 train-auc:0.86626
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[257] eval-auc:0.702938 train-auc:0.867911
[258] eval-auc:0.702941 train-auc:0.86814
[259] eval-auc:0.702932 train-auc:0.868613
[260] eval-auc:0.703237 train-auc:0.868889
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[263] eval-auc:0.703037 train-auc:0.870252
[264] eval-auc:0.70283 train-auc:0.87064
[265] eval-auc:0.702783 train-auc:0.870729
[266] eval-auc:0.702233 train-auc:0.870861
[267] eval-auc:0.702084 train-auc:0.87101
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[271] eval-auc:0.702017 train-auc:0.873209
[272] eval-auc:0.702226 train-auc:0.87352
[273] eval-auc:0.702465 train-auc:0.873894
[274] eval-auc:0.702867 train-auc:0.874405
[275] eval-auc:0.703069 train-auc:0.874425
[276] eval-auc:0.703383 train-auc:0.874389
[277] eval-auc:0.703343 train-auc:0.874509
[278] eval-auc:0.703352 train-auc:0.874712
[279] eval-auc:0.703433 train-auc:0.874854
[280] eval-auc:0.703406 train-auc:0.875327
[281] eval-auc:0.703523 train-auc:0.875414
[282] eval-auc:0.703531 train-auc:0.875419
[283] eval-auc:0.703112 train-auc:0.875864
[284] eval-auc:0.703225 train-auc:0.876077
[285] eval-auc:0.703214 train-auc:0.876339
[286] eval-auc:0.703178 train-auc:0.876384
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[290] eval-auc:0.703623 train-auc:0.878272
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[292] eval-auc:0.704307 train-auc:0.880025
[293] eval-auc:0.704362 train-auc:0.879894
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[295] eval-auc:0.704813 train-auc:0.880504
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[297] eval-auc:0.705238 train-auc:0.880795
[298] eval-auc:0.705571 train-auc:0.880999
[299] eval-auc:0.705405 train-auc:0.881198
[300] eval-auc:0.704992 train-auc:0.881785
[301] eval-auc:0.7047 train-auc:0.88194
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[307] eval-auc:0.704842 train-auc:0.884648
[308] eval-auc:0.704804 train-auc:0.884732
[309] eval-auc:0.704635 train-auc:0.885008
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[311] eval-auc:0.704555 train-auc:0.88528
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[313] eval-auc:0.704409 train-auc:0.886602
[314] eval-auc:0.704109 train-auc:0.886922
[315] eval-auc:0.704303 train-auc:0.887052
[316] eval-auc:0.704542 train-auc:0.887256
[317] eval-auc:0.704778 train-auc:0.887602
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[320] eval-auc:0.704406 train-auc:0.887961
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[322] eval-auc:0.70436 train-auc:0.888434
[323] eval-auc:0.704268 train-auc:0.888725
[324] eval-auc:0.704452 train-auc:0.889187
[325] eval-auc:0.704715 train-auc:0.889227
[326] eval-auc:0.704903 train-auc:0.889517
[327] eval-auc:0.704715 train-auc:0.889879
[328] eval-auc:0.705201 train-auc:0.89022
[329] eval-auc:0.705183 train-auc:0.890519
[330] eval-auc:0.705196 train-auc:0.890956
[331] eval-auc:0.704772 train-auc:0.891367
[332] eval-auc:0.704508 train-auc:0.891561
[333] eval-auc:0.704368 train-auc:0.891714
[334] eval-auc:0.704654 train-auc:0.89166
[335] eval-auc:0.704793 train-auc:0.891758
[336] eval-auc:0.704843 train-auc:0.892297
[337] eval-auc:0.704636 train-auc:0.892342
[338] eval-auc:0.704656 train-auc:0.892565
[339] eval-auc:0.704377 train-auc:0.892732
[340] eval-auc:0.704252 train-auc:0.893031
[341] eval-auc:0.704488 train-auc:0.893172
[342] eval-auc:0.704505 train-auc:0.893272
[343] eval-auc:0.704769 train-auc:0.893372
[344] eval-auc:0.704755 train-auc:0.893977
[345] eval-auc:0.70474 train-auc:0.894422
[346] eval-auc:0.704403 train-auc:0.894418
[347] eval-auc:0.70433 train-auc:0.89462
[348] eval-auc:0.704191 train-auc:0.894784
[349] eval-auc:0.704342 train-auc:0.895002
[350] eval-auc:0.704079 train-auc:0.895752
[351] eval-auc:0.703965 train-auc:0.895728
[352] eval-auc:0.703751 train-auc:0.896053
[353] eval-auc:0.703567 train-auc:0.896872
[354] eval-auc:0.70361 train-auc:0.897055
[355] eval-auc:0.703633 train-auc:0.897387
[356] eval-auc:0.703355 train-auc:0.897742
[357] eval-auc:0.70308 train-auc:0.898192
[358] eval-auc:0.702646 train-auc:0.898323
[359] eval-auc:0.702673 train-auc:0.898508
[360] eval-auc:0.702897 train-auc:0.898897
Score 0.702897160399079
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8500000000000001, 'eta': 0.2, 'eval_metric': 'auc', 'gamma': 0.65, 'max_depth': 1, 'min_child_weight': 1.0, 'n_estimators': 450.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.65, 'tree_method': 'exact'}
[0] eval-auc:0.637627 train-auc:0.641495
[1] eval-auc:0.639239 train-auc:0.642213
[2] eval-auc:0.639239 train-auc:0.642213
[3] eval-auc:0.639239 train-auc:0.642213
[4] eval-auc:0.674944 train-auc:0.671188
[5] eval-auc:0.70049 train-auc:0.698295
[6] eval-auc:0.70049 train-auc:0.698295
[7] eval-auc:0.702268 train-auc:0.698871
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[375] eval-auc:0.691384 train-auc:0.74952
[376] eval-auc:0.691376 train-auc:0.749526
[377] eval-auc:0.691608 train-auc:0.749677
[378] eval-auc:0.691976 train-auc:0.749513
[379] eval-auc:0.691807 train-auc:0.749012
[380] eval-auc:0.691767 train-auc:0.749228
[381] eval-auc:0.691969 train-auc:0.749398
[382] eval-auc:0.692034 train-auc:0.749447
[383] eval-auc:0.692163 train-auc:0.749505
[384] eval-auc:0.692052 train-auc:0.749264
[385] eval-auc:0.69216 train-auc:0.750269
[386] eval-auc:0.691731 train-auc:0.750256
[387] eval-auc:0.691608 train-auc:0.750143
[388] eval-auc:0.691982 train-auc:0.750444
[389] eval-auc:0.691924 train-auc:0.75059
[390] eval-auc:0.691174 train-auc:0.750536
[391] eval-auc:0.691427 train-auc:0.750776
[392] eval-auc:0.691538 train-auc:0.750936
[393] eval-auc:0.6912 train-auc:0.750998
[394] eval-auc:0.691818 train-auc:0.751002
[395] eval-auc:0.691595 train-auc:0.751068
[396] eval-auc:0.691522 train-auc:0.751288
[397] eval-auc:0.692565 train-auc:0.751455
[398] eval-auc:0.691726 train-auc:0.75166
[399] eval-auc:0.692326 train-auc:0.751724
[400] eval-auc:0.692026 train-auc:0.751747
[401] eval-auc:0.692599 train-auc:0.751683
[402] eval-auc:0.692674 train-auc:0.75169
[403] eval-auc:0.692393 train-auc:0.751818
[404] eval-auc:0.691982 train-auc:0.751328
[405] eval-auc:0.691239 train-auc:0.751213
[406] eval-auc:0.691108 train-auc:0.751314
[407] eval-auc:0.691399 train-auc:0.751441
[408] eval-auc:0.691355 train-auc:0.751618
[409] eval-auc:0.690671 train-auc:0.751741
[410] eval-auc:0.689832 train-auc:0.751602
[411] eval-auc:0.688561 train-auc:0.751754
[412] eval-auc:0.687993 train-auc:0.751625
[413] eval-auc:0.687958 train-auc:0.75155
[414] eval-auc:0.688186 train-auc:0.751701
[415] eval-auc:0.689415 train-auc:0.751816
[416] eval-auc:0.690242 train-auc:0.752083
[417] eval-auc:0.690851 train-auc:0.752196
[418] eval-auc:0.690251 train-auc:0.751966
[419] eval-auc:0.689576 train-auc:0.752276
[420] eval-auc:0.6898 train-auc:0.75231
[421] eval-auc:0.69012 train-auc:0.752223
[422] eval-auc:0.690082 train-auc:0.752262
[423] eval-auc:0.690062 train-auc:0.752785
[424] eval-auc:0.689759 train-auc:0.75288
[425] eval-auc:0.689669 train-auc:0.753019
[426] eval-auc:0.689855 train-auc:0.753384
[427] eval-auc:0.690198 train-auc:0.753742
[428] eval-auc:0.690207 train-auc:0.753656
[429] eval-auc:0.690601 train-auc:0.75359
[430] eval-auc:0.690484 train-auc:0.753595
[431] eval-auc:0.691189 train-auc:0.753845
[432] eval-auc:0.690828 train-auc:0.75375
[433] eval-auc:0.690335 train-auc:0.753572
[434] eval-auc:0.690531 train-auc:0.753287
[435] eval-auc:0.691582 train-auc:0.753316
[436] eval-auc:0.691693 train-auc:0.753574
[437] eval-auc:0.691372 train-auc:0.753587
[438] eval-auc:0.691618 train-auc:0.753862
[439] eval-auc:0.691573 train-auc:0.753791
[440] eval-auc:0.691003 train-auc:0.753673
[441] eval-auc:0.691406 train-auc:0.753838
[442] eval-auc:0.692447 train-auc:0.75376
[443] eval-auc:0.69357 train-auc:0.753709
[444] eval-auc:0.694297 train-auc:0.753925
[445] eval-auc:0.695149 train-auc:0.753942
[446] eval-auc:0.694642 train-auc:0.753988
[447] eval-auc:0.694687 train-auc:0.754127
[448] eval-auc:0.69486 train-auc:0.75424
[449] eval-auc:0.693578 train-auc:0.754323
Score 0.6935780067975001
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8, 'eta': 0.1, 'eval_metric': 'auc', 'gamma': 0.5, 'max_depth': 3, 'min_child_weight': 1.0, 'n_estimators': 411.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.6000000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.641869 train-auc:0.693189
[1] eval-auc:0.655617 train-auc:0.705408
[2] eval-auc:0.674235 train-auc:0.714449
[3] eval-auc:0.673886 train-auc:0.71848
[4] eval-auc:0.679999 train-auc:0.729655
[5] eval-auc:0.677894 train-auc:0.723979
[6] eval-auc:0.681837 train-auc:0.731059
[7] eval-auc:0.68335 train-auc:0.732487
[8] eval-auc:0.689497 train-auc:0.737948
[9] eval-auc:0.692521 train-auc:0.740698
[10] eval-auc:0.697179 train-auc:0.745779
[11] eval-auc:0.69777 train-auc:0.747013
[12] eval-auc:0.696735 train-auc:0.748118
[13] eval-auc:0.700095 train-auc:0.746746
[14] eval-auc:0.700378 train-auc:0.747379
[15] eval-auc:0.701187 train-auc:0.749657
[16] eval-auc:0.702194 train-auc:0.751817
[17] eval-auc:0.703337 train-auc:0.757017
[18] eval-auc:0.702469 train-auc:0.758824
[19] eval-auc:0.70133 train-auc:0.760543
[20] eval-auc:0.703763 train-auc:0.761786
[21] eval-auc:0.703177 train-auc:0.765745
[22] eval-auc:0.705739 train-auc:0.765966
[23] eval-auc:0.704178 train-auc:0.768823
[24] eval-auc:0.702312 train-auc:0.772068
[25] eval-auc:0.703755 train-auc:0.772132
[26] eval-auc:0.70171 train-auc:0.774643
[27] eval-auc:0.701407 train-auc:0.778937
[28] eval-auc:0.700524 train-auc:0.779136
[29] eval-auc:0.700022 train-auc:0.779985
[30] eval-auc:0.700698 train-auc:0.781884
[31] eval-auc:0.701088 train-auc:0.782717
[32] eval-auc:0.704621 train-auc:0.785999
[33] eval-auc:0.70239 train-auc:0.787858
[34] eval-auc:0.703509 train-auc:0.790231
[35] eval-auc:0.701639 train-auc:0.791534
[36] eval-auc:0.700366 train-auc:0.792577
[37] eval-auc:0.700411 train-auc:0.792322
[38] eval-auc:0.699439 train-auc:0.79473
[39] eval-auc:0.699792 train-auc:0.797732
[40] eval-auc:0.700485 train-auc:0.798008
[41] eval-auc:0.700237 train-auc:0.79878
[42] eval-auc:0.701384 train-auc:0.79901
[43] eval-auc:0.700939 train-auc:0.800408
[44] eval-auc:0.702519 train-auc:0.801713
[45] eval-auc:0.703413 train-auc:0.802898
[46] eval-auc:0.703921 train-auc:0.804048
[47] eval-auc:0.704841 train-auc:0.804373
[48] eval-auc:0.705168 train-auc:0.803537
[49] eval-auc:0.706221 train-auc:0.806408
[50] eval-auc:0.706124 train-auc:0.807811
[51] eval-auc:0.707374 train-auc:0.809002
[52] eval-auc:0.708923 train-auc:0.811049
[53] eval-auc:0.709989 train-auc:0.812514
[54] eval-auc:0.71101 train-auc:0.812693
[55] eval-auc:0.711686 train-auc:0.81396
[56] eval-auc:0.711977 train-auc:0.8144
[57] eval-auc:0.711662 train-auc:0.815005
[58] eval-auc:0.712323 train-auc:0.81506
[59] eval-auc:0.710059 train-auc:0.815812
[60] eval-auc:0.710165 train-auc:0.818324
[61] eval-auc:0.710624 train-auc:0.818789
[62] eval-auc:0.709463 train-auc:0.820213
[63] eval-auc:0.709842 train-auc:0.82139
[64] eval-auc:0.710806 train-auc:0.822623
[65] eval-auc:0.710505 train-auc:0.822196
[66] eval-auc:0.711522 train-auc:0.822598
[67] eval-auc:0.711093 train-auc:0.822493
[68] eval-auc:0.711201 train-auc:0.823463
[69] eval-auc:0.711131 train-auc:0.824616
[70] eval-auc:0.711607 train-auc:0.825556
[71] eval-auc:0.710732 train-auc:0.826694
[72] eval-auc:0.711185 train-auc:0.827727
[73] eval-auc:0.712145 train-auc:0.828419
[74] eval-auc:0.713628 train-auc:0.829104
[75] eval-auc:0.713736 train-auc:0.830001
[76] eval-auc:0.71396 train-auc:0.830967
[77] eval-auc:0.712786 train-auc:0.831721
[78] eval-auc:0.712422 train-auc:0.833609
[79] eval-auc:0.713208 train-auc:0.834951
[80] eval-auc:0.712743 train-auc:0.836021
[81] eval-auc:0.711705 train-auc:0.8369
[82] eval-auc:0.710936 train-auc:0.837494
[83] eval-auc:0.71116 train-auc:0.839011
[84] eval-auc:0.709876 train-auc:0.839704
[85] eval-auc:0.709398 train-auc:0.840447
[86] eval-auc:0.709963 train-auc:0.841549
[87] eval-auc:0.709474 train-auc:0.841506
[88] eval-auc:0.709721 train-auc:0.842343
[89] eval-auc:0.709019 train-auc:0.843953
[90] eval-auc:0.707729 train-auc:0.844423
[91] eval-auc:0.707905 train-auc:0.845341
[92] eval-auc:0.707203 train-auc:0.846151
[93] eval-auc:0.706657 train-auc:0.845957
[94] eval-auc:0.708455 train-auc:0.846494
[95] eval-auc:0.707499 train-auc:0.848201
[96] eval-auc:0.707333 train-auc:0.848988
[97] eval-auc:0.707805 train-auc:0.849399
[98] eval-auc:0.708694 train-auc:0.850949
[99] eval-auc:0.709131 train-auc:0.850996
[100] eval-auc:0.709495 train-auc:0.851262
[101] eval-auc:0.709909 train-auc:0.851076
[102] eval-auc:0.710217 train-auc:0.852422
[103] eval-auc:0.70906 train-auc:0.853344
[104] eval-auc:0.709459 train-auc:0.853824
[105] eval-auc:0.708326 train-auc:0.85426
[106] eval-auc:0.706996 train-auc:0.854546
[107] eval-auc:0.706226 train-auc:0.855494
[108] eval-auc:0.706066 train-auc:0.855617
[109] eval-auc:0.705545 train-auc:0.856244
[110] eval-auc:0.70572 train-auc:0.856803
[111] eval-auc:0.70564 train-auc:0.857963
[112] eval-auc:0.704671 train-auc:0.859675
[113] eval-auc:0.704858 train-auc:0.860101
[114] eval-auc:0.705151 train-auc:0.861033
[115] eval-auc:0.704724 train-auc:0.862388
[116] eval-auc:0.703107 train-auc:0.863261
[117] eval-auc:0.704015 train-auc:0.86453
[118] eval-auc:0.703987 train-auc:0.864786
[119] eval-auc:0.704036 train-auc:0.865753
[120] eval-auc:0.703742 train-auc:0.866223
[121] eval-auc:0.703691 train-auc:0.865338
[122] eval-auc:0.703165 train-auc:0.86524
[123] eval-auc:0.70333 train-auc:0.865368
[124] eval-auc:0.702816 train-auc:0.865894
[125] eval-auc:0.703415 train-auc:0.86597
[126] eval-auc:0.703805 train-auc:0.867433
[127] eval-auc:0.703054 train-auc:0.868518
[128] eval-auc:0.703305 train-auc:0.8691
[129] eval-auc:0.703828 train-auc:0.870019
[130] eval-auc:0.703284 train-auc:0.869912
[131] eval-auc:0.70375 train-auc:0.87
[132] eval-auc:0.702847 train-auc:0.870038
[133] eval-auc:0.703173 train-auc:0.871274
[134] eval-auc:0.703488 train-auc:0.871929
[135] eval-auc:0.703681 train-auc:0.872509
[136] eval-auc:0.70331 train-auc:0.872988
[137] eval-auc:0.702693 train-auc:0.87309
[138] eval-auc:0.702911 train-auc:0.873685
[139] eval-auc:0.703416 train-auc:0.873676
[140] eval-auc:0.702769 train-auc:0.87368
[141] eval-auc:0.703477 train-auc:0.87388
[142] eval-auc:0.703257 train-auc:0.874182
[143] eval-auc:0.702784 train-auc:0.874271
[144] eval-auc:0.702241 train-auc:0.874454
[145] eval-auc:0.703133 train-auc:0.875455
[146] eval-auc:0.703313 train-auc:0.876156
[147] eval-auc:0.703599 train-auc:0.876226
[148] eval-auc:0.703878 train-auc:0.876753
[149] eval-auc:0.703288 train-auc:0.876813
[150] eval-auc:0.702842 train-auc:0.877408
[151] eval-auc:0.702685 train-auc:0.879026
[152] eval-auc:0.702652 train-auc:0.879658
[153] eval-auc:0.703349 train-auc:0.879561
[154] eval-auc:0.703588 train-auc:0.880965
[155] eval-auc:0.703226 train-auc:0.881754
[156] eval-auc:0.703397 train-auc:0.882289
[157] eval-auc:0.702618 train-auc:0.882553
[158] eval-auc:0.701594 train-auc:0.883099
[159] eval-auc:0.701394 train-auc:0.883736
[160] eval-auc:0.701568 train-auc:0.88488
[161] eval-auc:0.701108 train-auc:0.885262
[162] eval-auc:0.700816 train-auc:0.885944
[163] eval-auc:0.699754 train-auc:0.885849
[164] eval-auc:0.699407 train-auc:0.886414
[165] eval-auc:0.699622 train-auc:0.886767
[166] eval-auc:0.699594 train-auc:0.886678
[167] eval-auc:0.699571 train-auc:0.887265
[168] eval-auc:0.700016 train-auc:0.887332
[169] eval-auc:0.699803 train-auc:0.887494
[170] eval-auc:0.699441 train-auc:0.887824
[171] eval-auc:0.69954 train-auc:0.888162
[172] eval-auc:0.700037 train-auc:0.889296
[173] eval-auc:0.700115 train-auc:0.889753
[174] eval-auc:0.699978 train-auc:0.889712
[175] eval-auc:0.699722 train-auc:0.889622
[176] eval-auc:0.69966 train-auc:0.890445
[177] eval-auc:0.699876 train-auc:0.890982
[178] eval-auc:0.700991 train-auc:0.891371
[179] eval-auc:0.70155 train-auc:0.891376
[180] eval-auc:0.701006 train-auc:0.891755
[181] eval-auc:0.700962 train-auc:0.891932
[182] eval-auc:0.701076 train-auc:0.891946
[183] eval-auc:0.70061 train-auc:0.891953
[184] eval-auc:0.698445 train-auc:0.892247
[185] eval-auc:0.698442 train-auc:0.892968
[186] eval-auc:0.698259 train-auc:0.893133
[187] eval-auc:0.69761 train-auc:0.893672
[188] eval-auc:0.697563 train-auc:0.894325
[189] eval-auc:0.697589 train-auc:0.895014
[190] eval-auc:0.697382 train-auc:0.895434
[191] eval-auc:0.697609 train-auc:0.896132
[192] eval-auc:0.697472 train-auc:0.896025
[193] eval-auc:0.697228 train-auc:0.896778
[194] eval-auc:0.696585 train-auc:0.896808
[195] eval-auc:0.696796 train-auc:0.89719
[196] eval-auc:0.697247 train-auc:0.897449
[197] eval-auc:0.697816 train-auc:0.897634
[198] eval-auc:0.698192 train-auc:0.897952
[199] eval-auc:0.698279 train-auc:0.89845
[200] eval-auc:0.697778 train-auc:0.898122
[201] eval-auc:0.697636 train-auc:0.898708
[202] eval-auc:0.697396 train-auc:0.8995
[203] eval-auc:0.698242 train-auc:0.901272
[204] eval-auc:0.697889 train-auc:0.901275
[205] eval-auc:0.698341 train-auc:0.901603
[206] eval-auc:0.697939 train-auc:0.901512
[207] eval-auc:0.697907 train-auc:0.901888
[208] eval-auc:0.697161 train-auc:0.902412
[209] eval-auc:0.697453 train-auc:0.90235
[210] eval-auc:0.697106 train-auc:0.902692
[211] eval-auc:0.697076 train-auc:0.902442
[212] eval-auc:0.696707 train-auc:0.903122
[213] eval-auc:0.696672 train-auc:0.903351
[214] eval-auc:0.69687 train-auc:0.903731
[215] eval-auc:0.697254 train-auc:0.903248
[216] eval-auc:0.697575 train-auc:0.903312
[217] eval-auc:0.696779 train-auc:0.903638
[218] eval-auc:0.696168 train-auc:0.903992
[219] eval-auc:0.69622 train-auc:0.904498
[220] eval-auc:0.696164 train-auc:0.904605
[221] eval-auc:0.696331 train-auc:0.904967
[222] eval-auc:0.695667 train-auc:0.90558
[223] eval-auc:0.696195 train-auc:0.906055
[224] eval-auc:0.695792 train-auc:0.906506
[225] eval-auc:0.695873 train-auc:0.906804
[226] eval-auc:0.696089 train-auc:0.907101
[227] eval-auc:0.69608 train-auc:0.907011
[228] eval-auc:0.694551 train-auc:0.907299
[229] eval-auc:0.6949 train-auc:0.908146
[230] eval-auc:0.69516 train-auc:0.908763
[231] eval-auc:0.693392 train-auc:0.909631
[232] eval-auc:0.693321 train-auc:0.90973
[233] eval-auc:0.693463 train-auc:0.910028
[234] eval-auc:0.693107 train-auc:0.909881
[235] eval-auc:0.692925 train-auc:0.910393
[236] eval-auc:0.692998 train-auc:0.911268
[237] eval-auc:0.693645 train-auc:0.911633
[238] eval-auc:0.693817 train-auc:0.911857
[239] eval-auc:0.693968 train-auc:0.9117
[240] eval-auc:0.694479 train-auc:0.911986
[241] eval-auc:0.69461 train-auc:0.912435
[242] eval-auc:0.694553 train-auc:0.912694
[243] eval-auc:0.695241 train-auc:0.913284
[244] eval-auc:0.694993 train-auc:0.913846
[245] eval-auc:0.694878 train-auc:0.91398
[246] eval-auc:0.695245 train-auc:0.914285
[247] eval-auc:0.695003 train-auc:0.914753
[248] eval-auc:0.695317 train-auc:0.914691
[249] eval-auc:0.695768 train-auc:0.91491
[250] eval-auc:0.695842 train-auc:0.915488
[251] eval-auc:0.695379 train-auc:0.915769
[252] eval-auc:0.695306 train-auc:0.91617
[253] eval-auc:0.695463 train-auc:0.916388
[254] eval-auc:0.695242 train-auc:0.917093
[255] eval-auc:0.694551 train-auc:0.917409
[256] eval-auc:0.695312 train-auc:0.917082
[257] eval-auc:0.695424 train-auc:0.917578
[258] eval-auc:0.695367 train-auc:0.917772
[259] eval-auc:0.695258 train-auc:0.918162
[260] eval-auc:0.695392 train-auc:0.918213
[261] eval-auc:0.695561 train-auc:0.918174
[262] eval-auc:0.695751 train-auc:0.918553
[263] eval-auc:0.695695 train-auc:0.91919
[264] eval-auc:0.696074 train-auc:0.919104
[265] eval-auc:0.69617 train-auc:0.920201
[266] eval-auc:0.695787 train-auc:0.920193
[267] eval-auc:0.696298 train-auc:0.920399
[268] eval-auc:0.696756 train-auc:0.9206
[269] eval-auc:0.696569 train-auc:0.920285
[270] eval-auc:0.696547 train-auc:0.920506
[271] eval-auc:0.696138 train-auc:0.920636
[272] eval-auc:0.696266 train-auc:0.920963
[273] eval-auc:0.696923 train-auc:0.921337
[274] eval-auc:0.697281 train-auc:0.921815
[275] eval-auc:0.69678 train-auc:0.922114
[276] eval-auc:0.696317 train-auc:0.922474
[277] eval-auc:0.695883 train-auc:0.922512
[278] eval-auc:0.695925 train-auc:0.922848
[279] eval-auc:0.695815 train-auc:0.922898
[280] eval-auc:0.695737 train-auc:0.923176
[281] eval-auc:0.697118 train-auc:0.923227
[282] eval-auc:0.69707 train-auc:0.92345
[283] eval-auc:0.696969 train-auc:0.923803
[284] eval-auc:0.697243 train-auc:0.923759
[285] eval-auc:0.697385 train-auc:0.923646
[286] eval-auc:0.696721 train-auc:0.923603
[287] eval-auc:0.696418 train-auc:0.923859
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[290] eval-auc:0.696272 train-auc:0.924366
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[292] eval-auc:0.696789 train-auc:0.92494
[293] eval-auc:0.697399 train-auc:0.925257
[294] eval-auc:0.69749 train-auc:0.926001
[295] eval-auc:0.697429 train-auc:0.926035
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[297] eval-auc:0.69737 train-auc:0.926111
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[299] eval-auc:0.697679 train-auc:0.926523
[300] eval-auc:0.69752 train-auc:0.926379
[301] eval-auc:0.696943 train-auc:0.926631
[302] eval-auc:0.697284 train-auc:0.926946
[303] eval-auc:0.697769 train-auc:0.927462
[304] eval-auc:0.697913 train-auc:0.92795
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[306] eval-auc:0.697644 train-auc:0.928362
[307] eval-auc:0.698041 train-auc:0.928852
[308] eval-auc:0.697386 train-auc:0.928456
[309] eval-auc:0.696828 train-auc:0.92842
[310] eval-auc:0.696349 train-auc:0.928373
[311] eval-auc:0.695946 train-auc:0.928497
[312] eval-auc:0.695774 train-auc:0.928611
[313] eval-auc:0.695414 train-auc:0.929619
[314] eval-auc:0.695314 train-auc:0.929876
[315] eval-auc:0.695043 train-auc:0.930132
[316] eval-auc:0.694749 train-auc:0.930649
[317] eval-auc:0.69492 train-auc:0.930826
[318] eval-auc:0.694953 train-auc:0.931013
[319] eval-auc:0.695189 train-auc:0.931359
[320] eval-auc:0.695028 train-auc:0.931649
[321] eval-auc:0.694962 train-auc:0.931739
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[323] eval-auc:0.694846 train-auc:0.932361
[324] eval-auc:0.694486 train-auc:0.932592
[325] eval-auc:0.695098 train-auc:0.932381
[326] eval-auc:0.694836 train-auc:0.932424
[327] eval-auc:0.694952 train-auc:0.933181
[328] eval-auc:0.695064 train-auc:0.933596
[329] eval-auc:0.695536 train-auc:0.934015
[330] eval-auc:0.695295 train-auc:0.934243
[331] eval-auc:0.694977 train-auc:0.934275
[332] eval-auc:0.695079 train-auc:0.934396
[333] eval-auc:0.695579 train-auc:0.934825
[334] eval-auc:0.695499 train-auc:0.934991
[335] eval-auc:0.695577 train-auc:0.935443
[336] eval-auc:0.695544 train-auc:0.935686
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[343] eval-auc:0.6955 train-auc:0.93658
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[346] eval-auc:0.694834 train-auc:0.937143
[347] eval-auc:0.69527 train-auc:0.937251
[348] eval-auc:0.69516 train-auc:0.937507
[349] eval-auc:0.695626 train-auc:0.937816
[350] eval-auc:0.695417 train-auc:0.938036
[351] eval-auc:0.695792 train-auc:0.938488
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[355] eval-auc:0.694387 train-auc:0.939749
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[357] eval-auc:0.694198 train-auc:0.940622
[358] eval-auc:0.694151 train-auc:0.940863
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[360] eval-auc:0.694359 train-auc:0.941169
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[362] eval-auc:0.69328 train-auc:0.941206
[363] eval-auc:0.693222 train-auc:0.94159
[364] eval-auc:0.693487 train-auc:0.941645
[365] eval-auc:0.693563 train-auc:0.941724
[366] eval-auc:0.694141 train-auc:0.941695
[367] eval-auc:0.694412 train-auc:0.941836
[368] eval-auc:0.694667 train-auc:0.942238
[369] eval-auc:0.69505 train-auc:0.942538
[370] eval-auc:0.694367 train-auc:0.942841
[371] eval-auc:0.694449 train-auc:0.943129
[372] eval-auc:0.694463 train-auc:0.943391
[373] eval-auc:0.694225 train-auc:0.943333
[374] eval-auc:0.6943 train-auc:0.943479
[375] eval-auc:0.694166 train-auc:0.943671
[376] eval-auc:0.693516 train-auc:0.944116
[377] eval-auc:0.693671 train-auc:0.944015
[378] eval-auc:0.693682 train-auc:0.944469
[379] eval-auc:0.694399 train-auc:0.944799
[380] eval-auc:0.694993 train-auc:0.945132
[381] eval-auc:0.695252 train-auc:0.945215
[382] eval-auc:0.695116 train-auc:0.945494
[383] eval-auc:0.695361 train-auc:0.945434
[384] eval-auc:0.695238 train-auc:0.945151
[385] eval-auc:0.695057 train-auc:0.945477
[386] eval-auc:0.695308 train-auc:0.945806
[387] eval-auc:0.695466 train-auc:0.946059
[388] eval-auc:0.69571 train-auc:0.946335
[389] eval-auc:0.695807 train-auc:0.946471
[390] eval-auc:0.695483 train-auc:0.946866
[391] eval-auc:0.695751 train-auc:0.946907
[392] eval-auc:0.695722 train-auc:0.947017
[393] eval-auc:0.695795 train-auc:0.946787
[394] eval-auc:0.695747 train-auc:0.94686
[395] eval-auc:0.695695 train-auc:0.946648
[396] eval-auc:0.695993 train-auc:0.946732
[397] eval-auc:0.695417 train-auc:0.94676
[398] eval-auc:0.695137 train-auc:0.947091
[399] eval-auc:0.695368 train-auc:0.947332
[400] eval-auc:0.695612 train-auc:0.947121
[401] eval-auc:0.695292 train-auc:0.947402
[402] eval-auc:0.695115 train-auc:0.947868
[403] eval-auc:0.695373 train-auc:0.947851
[404] eval-auc:0.695879 train-auc:0.947758
[405] eval-auc:0.695608 train-auc:0.94812
[406] eval-auc:0.695571 train-auc:0.948237
[407] eval-auc:0.695209 train-auc:0.948721
[408] eval-auc:0.695288 train-auc:0.948756
[409] eval-auc:0.694837 train-auc:0.948773
[410] eval-auc:0.694597 train-auc:0.948432
Score 0.6945967181961042
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.75, 'eta': 0.30000000000000004, 'eval_metric': 'auc', 'gamma': 0.55, 'max_depth': 11, 'min_child_weight': 1.0, 'n_estimators': 523.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.686003 train-auc:0.907943
[1] eval-auc:0.611994 train-auc:0.957375
[2] eval-auc:0.652941 train-auc:0.976389
[3] eval-auc:0.644543 train-auc:0.990723
[4] eval-auc:0.641774 train-auc:0.995069
[5] eval-auc:0.629395 train-auc:0.997703
[6] eval-auc:0.633201 train-auc:0.999525
[7] eval-auc:0.648827 train-auc:0.999817
[8] eval-auc:0.649725 train-auc:0.999924
[9] eval-auc:0.664058 train-auc:0.999966
[10] eval-auc:0.671686 train-auc:0.999985
[11] eval-auc:0.670854 train-auc:0.999987
[12] eval-auc:0.676641 train-auc:0.999989
[13] eval-auc:0.676274 train-auc:0.999989
[14] eval-auc:0.680323 train-auc:0.99999
[15] eval-auc:0.682812 train-auc:0.999995
[16] eval-auc:0.683147 train-auc:0.999994
[17] eval-auc:0.686336 train-auc:0.999994
[18] eval-auc:0.68749 train-auc:0.999999
[19] eval-auc:0.686152 train-auc:0.999999
[20] eval-auc:0.685503 train-auc:1
[21] eval-auc:0.685297 train-auc:1
[22] eval-auc:0.686698 train-auc:1
[23] eval-auc:0.685354 train-auc:1
[24] eval-auc:0.683855 train-auc:1
[25] eval-auc:0.682963 train-auc:1
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[29] eval-auc:0.683164 train-auc:1
[30] eval-auc:0.682934 train-auc:1
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[40] eval-auc:0.683131 train-auc:1
[41] eval-auc:0.683458 train-auc:1
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[52] eval-auc:0.683144 train-auc:1
[53] eval-auc:0.683068 train-auc:1
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[55] eval-auc:0.682992 train-auc:1
[56] eval-auc:0.682992 train-auc:1
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[59] eval-auc:0.683583 train-auc:1
[60] eval-auc:0.683583 train-auc:1
[61] eval-auc:0.683571 train-auc:1
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[65] eval-auc:0.68707 train-auc:1
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[138] eval-auc:0.689244 train-auc:1
[139] eval-auc:0.689041 train-auc:1
[140] eval-auc:0.688667 train-auc:1
[141] eval-auc:0.688428 train-auc:1
[142] eval-auc:0.688379 train-auc:1
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[144] eval-auc:0.688379 train-auc:1
[145] eval-auc:0.688379 train-auc:1
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[148] eval-auc:0.688379 train-auc:1
[149] eval-auc:0.688379 train-auc:1
[150] eval-auc:0.688379 train-auc:1
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[154] eval-auc:0.68788 train-auc:1
[155] eval-auc:0.68788 train-auc:1
[156] eval-auc:0.68788 train-auc:1
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[160] eval-auc:0.68788 train-auc:1
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[162] eval-auc:0.68788 train-auc:1
[163] eval-auc:0.687696 train-auc:1
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[170] eval-auc:0.68751 train-auc:1
[171] eval-auc:0.687149 train-auc:1
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[173] eval-auc:0.687047 train-auc:1
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[187] eval-auc:0.686707 train-auc:1
[188] eval-auc:0.686333 train-auc:1
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[190] eval-auc:0.686333 train-auc:1
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[218] eval-auc:0.685613 train-auc:1
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[293] eval-auc:0.685613 train-auc:1
[294] eval-auc:0.685613 train-auc:1
[295] eval-auc:0.685613 train-auc:1
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[300] eval-auc:0.685613 train-auc:1
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[325] eval-auc:0.68578 train-auc:1
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[353] eval-auc:0.68571 train-auc:1
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[360] eval-auc:0.685785 train-auc:1
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[395] eval-auc:0.685737 train-auc:1
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[402] eval-auc:0.68516 train-auc:1
[403] eval-auc:0.68513 train-auc:1
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[415] eval-auc:0.68522 train-auc:1
[416] eval-auc:0.68522 train-auc:1
[417] eval-auc:0.68522 train-auc:1
[418] eval-auc:0.68522 train-auc:1
[419] eval-auc:0.68522 train-auc:1
[420] eval-auc:0.68522 train-auc:1
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[423] eval-auc:0.68522 train-auc:1
[424] eval-auc:0.68522 train-auc:1
[425] eval-auc:0.68522 train-auc:1
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[427] eval-auc:0.68522 train-auc:1
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[442] eval-auc:0.685226 train-auc:1
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[445] eval-auc:0.685226 train-auc:1
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[447] eval-auc:0.685226 train-auc:1
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[450] eval-auc:0.685226 train-auc:1
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[478] eval-auc:0.685226 train-auc:1
[479] eval-auc:0.685226 train-auc:1
[480] eval-auc:0.685226 train-auc:1
[481] eval-auc:0.685226 train-auc:1
[482] eval-auc:0.685226 train-auc:1
[483] eval-auc:0.685226 train-auc:1
[484] eval-auc:0.685226 train-auc:1
[485] eval-auc:0.685226 train-auc:1
[486] eval-auc:0.685226 train-auc:1
[487] eval-auc:0.685226 train-auc:1
[488] eval-auc:0.685226 train-auc:1
[489] eval-auc:0.685226 train-auc:1
[490] eval-auc:0.685226 train-auc:1
[491] eval-auc:0.685226 train-auc:1
[492] eval-auc:0.685226 train-auc:1
[493] eval-auc:0.685226 train-auc:1
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[499] eval-auc:0.685226 train-auc:1
[500] eval-auc:0.685226 train-auc:1
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[505] eval-auc:0.685226 train-auc:1
[506] eval-auc:0.685226 train-auc:1
[507] eval-auc:0.685226 train-auc:1
[508] eval-auc:0.685226 train-auc:1
[509] eval-auc:0.685226 train-auc:1
[510] eval-auc:0.685226 train-auc:1
[511] eval-auc:0.685226 train-auc:1
[512] eval-auc:0.685226 train-auc:1
[513] eval-auc:0.685226 train-auc:1
[514] eval-auc:0.685226 train-auc:1
[515] eval-auc:0.685226 train-auc:1
[516] eval-auc:0.685226 train-auc:1
[517] eval-auc:0.685226 train-auc:1
[518] eval-auc:0.685226 train-auc:1
[519] eval-auc:0.685226 train-auc:1
[520] eval-auc:0.685226 train-auc:1
[521] eval-auc:0.685226 train-auc:1
[522] eval-auc:0.685226 train-auc:1
Score 0.6852257915189611
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8500000000000001, 'eta': 0.125, 'eval_metric': 'auc', 'gamma': 0.6000000000000001, 'max_depth': 3, 'min_child_weight': 1.0, 'n_estimators': 733.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.702485 train-auc:0.723761
[1] eval-auc:0.702331 train-auc:0.719447
[2] eval-auc:0.705991 train-auc:0.730517
[3] eval-auc:0.707237 train-auc:0.729054
[4] eval-auc:0.712234 train-auc:0.737178
[5] eval-auc:0.71137 train-auc:0.744561
[6] eval-auc:0.710419 train-auc:0.745686
[7] eval-auc:0.710342 train-auc:0.752548
[8] eval-auc:0.699654 train-auc:0.756173
[9] eval-auc:0.699321 train-auc:0.757876
[10] eval-auc:0.699639 train-auc:0.760502
[11] eval-auc:0.702927 train-auc:0.764161
[12] eval-auc:0.703655 train-auc:0.76513
[13] eval-auc:0.705703 train-auc:0.767047
[14] eval-auc:0.703914 train-auc:0.76827
[15] eval-auc:0.704644 train-auc:0.77183
[16] eval-auc:0.703055 train-auc:0.770937
[17] eval-auc:0.704766 train-auc:0.773416
[18] eval-auc:0.706833 train-auc:0.776423
[19] eval-auc:0.705691 train-auc:0.781041
[20] eval-auc:0.70488 train-auc:0.783197
[21] eval-auc:0.706457 train-auc:0.786062
[22] eval-auc:0.705619 train-auc:0.789881
[23] eval-auc:0.706076 train-auc:0.792877
[24] eval-auc:0.706132 train-auc:0.794036
[25] eval-auc:0.705068 train-auc:0.795748
[26] eval-auc:0.704733 train-auc:0.796809
[27] eval-auc:0.704517 train-auc:0.797748
[28] eval-auc:0.705293 train-auc:0.797948
[29] eval-auc:0.705433 train-auc:0.797438
[30] eval-auc:0.70614 train-auc:0.798011
[31] eval-auc:0.706682 train-auc:0.803638
[32] eval-auc:0.707243 train-auc:0.803282
[33] eval-auc:0.709472 train-auc:0.806046
[34] eval-auc:0.709644 train-auc:0.807292
[35] eval-auc:0.709601 train-auc:0.807528
[36] eval-auc:0.709904 train-auc:0.808756
[37] eval-auc:0.710072 train-auc:0.808771
[38] eval-auc:0.709191 train-auc:0.812005
[39] eval-auc:0.709336 train-auc:0.812057
[40] eval-auc:0.709941 train-auc:0.813904
[41] eval-auc:0.709708 train-auc:0.814811
[42] eval-auc:0.709166 train-auc:0.816005
[43] eval-auc:0.709229 train-auc:0.816263
[44] eval-auc:0.709649 train-auc:0.818038
[45] eval-auc:0.70966 train-auc:0.818362
[46] eval-auc:0.709155 train-auc:0.820122
[47] eval-auc:0.707951 train-auc:0.821773
[48] eval-auc:0.708113 train-auc:0.82262
[49] eval-auc:0.707524 train-auc:0.824382
[50] eval-auc:0.70685 train-auc:0.828139
[51] eval-auc:0.70641 train-auc:0.829665
[52] eval-auc:0.706089 train-auc:0.831198
[53] eval-auc:0.705362 train-auc:0.834162
[54] eval-auc:0.705079 train-auc:0.8363
[55] eval-auc:0.705279 train-auc:0.83723
[56] eval-auc:0.705199 train-auc:0.839309
[57] eval-auc:0.703548 train-auc:0.841224
[58] eval-auc:0.703582 train-auc:0.841243
[59] eval-auc:0.703728 train-auc:0.841942
[60] eval-auc:0.703554 train-auc:0.843034
[61] eval-auc:0.70438 train-auc:0.846483
[62] eval-auc:0.704073 train-auc:0.847009
[63] eval-auc:0.704061 train-auc:0.846703
[64] eval-auc:0.704175 train-auc:0.846842
[65] eval-auc:0.704524 train-auc:0.849018
[66] eval-auc:0.705783 train-auc:0.84979
[67] eval-auc:0.706028 train-auc:0.850234
[68] eval-auc:0.707013 train-auc:0.85123
[69] eval-auc:0.706666 train-auc:0.851334
[70] eval-auc:0.706124 train-auc:0.852203
[71] eval-auc:0.70577 train-auc:0.853552
[72] eval-auc:0.705942 train-auc:0.85504
[73] eval-auc:0.707338 train-auc:0.856892
[74] eval-auc:0.707338 train-auc:0.858525
[75] eval-auc:0.707859 train-auc:0.860377
[76] eval-auc:0.707338 train-auc:0.861539
[77] eval-auc:0.707768 train-auc:0.862122
[78] eval-auc:0.707969 train-auc:0.862483
[79] eval-auc:0.708489 train-auc:0.864693
[80] eval-auc:0.708327 train-auc:0.865222
[81] eval-auc:0.708973 train-auc:0.866203
[82] eval-auc:0.709401 train-auc:0.866712
[83] eval-auc:0.709542 train-auc:0.8674
[84] eval-auc:0.709081 train-auc:0.869221
[85] eval-auc:0.709716 train-auc:0.870059
[86] eval-auc:0.709655 train-auc:0.871022
[87] eval-auc:0.710094 train-auc:0.87285
[88] eval-auc:0.708813 train-auc:0.874354
[89] eval-auc:0.709046 train-auc:0.874413
[90] eval-auc:0.710279 train-auc:0.875664
[91] eval-auc:0.710776 train-auc:0.876874
[92] eval-auc:0.710445 train-auc:0.877078
[93] eval-auc:0.710384 train-auc:0.877529
[94] eval-auc:0.710116 train-auc:0.878371
[95] eval-auc:0.709882 train-auc:0.878888
[96] eval-auc:0.710448 train-auc:0.879614
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[100] eval-auc:0.710656 train-auc:0.87992
[101] eval-auc:0.710656 train-auc:0.881198
[102] eval-auc:0.710071 train-auc:0.881533
[103] eval-auc:0.710071 train-auc:0.88233
[104] eval-auc:0.710084 train-auc:0.882342
[105] eval-auc:0.709593 train-auc:0.88255
[106] eval-auc:0.710828 train-auc:0.883902
[107] eval-auc:0.710575 train-auc:0.883907
[108] eval-auc:0.711575 train-auc:0.884631
[109] eval-auc:0.711825 train-auc:0.885171
[110] eval-auc:0.711913 train-auc:0.88616
[111] eval-auc:0.711863 train-auc:0.887482
[112] eval-auc:0.712104 train-auc:0.887809
[113] eval-auc:0.712748 train-auc:0.888491
[114] eval-auc:0.711461 train-auc:0.889097
[115] eval-auc:0.710985 train-auc:0.889615
[116] eval-auc:0.712023 train-auc:0.890596
[117] eval-auc:0.712195 train-auc:0.89171
[118] eval-auc:0.71204 train-auc:0.892492
[119] eval-auc:0.712043 train-auc:0.892504
[120] eval-auc:0.711003 train-auc:0.893392
[121] eval-auc:0.711175 train-auc:0.893937
[122] eval-auc:0.711953 train-auc:0.894672
[123] eval-auc:0.710948 train-auc:0.8951
[124] eval-auc:0.711507 train-auc:0.896941
[125] eval-auc:0.710657 train-auc:0.897447
[126] eval-auc:0.711141 train-auc:0.897979
[127] eval-auc:0.711362 train-auc:0.898485
[128] eval-auc:0.710943 train-auc:0.898476
[129] eval-auc:0.710649 train-auc:0.898535
[130] eval-auc:0.710974 train-auc:0.899216
[131] eval-auc:0.71064 train-auc:0.900083
[132] eval-auc:0.710057 train-auc:0.900377
[133] eval-auc:0.710619 train-auc:0.901507
[134] eval-auc:0.710567 train-auc:0.901619
[135] eval-auc:0.710966 train-auc:0.902266
[136] eval-auc:0.710438 train-auc:0.902364
[137] eval-auc:0.710075 train-auc:0.902496
[138] eval-auc:0.709552 train-auc:0.902526
[139] eval-auc:0.709719 train-auc:0.902762
[140] eval-auc:0.709818 train-auc:0.903983
[141] eval-auc:0.709718 train-auc:0.904886
[142] eval-auc:0.709978 train-auc:0.906102
[143] eval-auc:0.709701 train-auc:0.907079
[144] eval-auc:0.709865 train-auc:0.907726
[145] eval-auc:0.708997 train-auc:0.907945
[146] eval-auc:0.709658 train-auc:0.908108
[147] eval-auc:0.709701 train-auc:0.908552
[148] eval-auc:0.709137 train-auc:0.909946
[149] eval-auc:0.709635 train-auc:0.910049
[150] eval-auc:0.709325 train-auc:0.910584
[151] eval-auc:0.709209 train-auc:0.911913
[152] eval-auc:0.708945 train-auc:0.912285
[153] eval-auc:0.709293 train-auc:0.912701
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[550] eval-auc:0.709166 train-auc:0.980399
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[678] eval-auc:0.706346 train-auc:0.985107
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[685] eval-auc:0.706364 train-auc:0.985196
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[690] eval-auc:0.706055 train-auc:0.985262
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[693] eval-auc:0.706109 train-auc:0.985293
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[695] eval-auc:0.706109 train-auc:0.985293
[696] eval-auc:0.706109 train-auc:0.985293
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[698] eval-auc:0.706109 train-auc:0.985293
[699] eval-auc:0.705946 train-auc:0.985306
[700] eval-auc:0.705946 train-auc:0.985306
[701] eval-auc:0.705946 train-auc:0.985306
[702] eval-auc:0.705946 train-auc:0.985306
[703] eval-auc:0.70595 train-auc:0.985306
[704] eval-auc:0.705707 train-auc:0.985461
[705] eval-auc:0.705777 train-auc:0.985474
[706] eval-auc:0.705806 train-auc:0.985515
[707] eval-auc:0.705755 train-auc:0.985544
[708] eval-auc:0.705781 train-auc:0.985546
[709] eval-auc:0.706074 train-auc:0.985553
[710] eval-auc:0.706074 train-auc:0.985553
[711] eval-auc:0.706074 train-auc:0.985553
[712] eval-auc:0.706074 train-auc:0.985553
[713] eval-auc:0.706074 train-auc:0.985553
[714] eval-auc:0.706074 train-auc:0.985553
[715] eval-auc:0.706074 train-auc:0.985553
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[717] eval-auc:0.705614 train-auc:0.985616
[718] eval-auc:0.705614 train-auc:0.985616
[719] eval-auc:0.705728 train-auc:0.985622
[720] eval-auc:0.705757 train-auc:0.985712
[721] eval-auc:0.705757 train-auc:0.985712
[722] eval-auc:0.70581 train-auc:0.985662
[723] eval-auc:0.705729 train-auc:0.985718
[724] eval-auc:0.705763 train-auc:0.985799
[725] eval-auc:0.705192 train-auc:0.985829
[726] eval-auc:0.705189 train-auc:0.985824
[727] eval-auc:0.705221 train-auc:0.985848
[728] eval-auc:0.704989 train-auc:0.985921
[729] eval-auc:0.70502 train-auc:0.98592
[730] eval-auc:0.70502 train-auc:0.98592
[731] eval-auc:0.705122 train-auc:0.985916
[732] eval-auc:0.705023 train-auc:0.985946
Score 0.7050229019722496
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.7000000000000001, 'eta': 0.025, 'eval_metric': 'auc', 'gamma': 0.7000000000000001, 'max_depth': 10, 'min_child_weight': 1.0, 'n_estimators': 664.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.633105 train-auc:0.820689
[1] eval-auc:0.634215 train-auc:0.890962
[2] eval-auc:0.622605 train-auc:0.928741
[3] eval-auc:0.639642 train-auc:0.94715
[4] eval-auc:0.667079 train-auc:0.959905
[5] eval-auc:0.662057 train-auc:0.969119
[6] eval-auc:0.665202 train-auc:0.979481
[7] eval-auc:0.659153 train-auc:0.980507
[8] eval-auc:0.666865 train-auc:0.988142
[9] eval-auc:0.669236 train-auc:0.989308
[10] eval-auc:0.667969 train-auc:0.991618
[11] eval-auc:0.664748 train-auc:0.991854
[12] eval-auc:0.661216 train-auc:0.99211
[13] eval-auc:0.660561 train-auc:0.993212
[14] eval-auc:0.658152 train-auc:0.993114
[15] eval-auc:0.653248 train-auc:0.993439
[16] eval-auc:0.652192 train-auc:0.993405
[17] eval-auc:0.660469 train-auc:0.99514
[18] eval-auc:0.659319 train-auc:0.995538
[19] eval-auc:0.663639 train-auc:0.996147
[20] eval-auc:0.663422 train-auc:0.996811
[21] eval-auc:0.664035 train-auc:0.997075
[22] eval-auc:0.666626 train-auc:0.997059
[23] eval-auc:0.671619 train-auc:0.997257
[24] eval-auc:0.674629 train-auc:0.997708
[25] eval-auc:0.672875 train-auc:0.997598
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[27] eval-auc:0.678756 train-auc:0.998221
[28] eval-auc:0.678655 train-auc:0.998345
[29] eval-auc:0.678978 train-auc:0.998392
[30] eval-auc:0.679633 train-auc:0.9985
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[33] eval-auc:0.681168 train-auc:0.998876
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[35] eval-auc:0.682591 train-auc:0.99903
[36] eval-auc:0.682729 train-auc:0.998981
[37] eval-auc:0.68263 train-auc:0.999045
[38] eval-auc:0.682859 train-auc:0.999091
[39] eval-auc:0.681306 train-auc:0.999114
[40] eval-auc:0.680487 train-auc:0.999135
[41] eval-auc:0.679502 train-auc:0.999191
[42] eval-auc:0.679055 train-auc:0.999287
[43] eval-auc:0.680603 train-auc:0.999283
[44] eval-auc:0.682652 train-auc:0.999276
[45] eval-auc:0.682113 train-auc:0.999311
[46] eval-auc:0.683564 train-auc:0.999413
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[48] eval-auc:0.683254 train-auc:0.999442
[49] eval-auc:0.682484 train-auc:0.999501
[50] eval-auc:0.680718 train-auc:0.999509
[51] eval-auc:0.679334 train-auc:0.99956
[52] eval-auc:0.678619 train-auc:0.999568
[53] eval-auc:0.676887 train-auc:0.999614
[54] eval-auc:0.677906 train-auc:0.999616
[55] eval-auc:0.676115 train-auc:0.999627
[56] eval-auc:0.675581 train-auc:0.999636
[57] eval-auc:0.674309 train-auc:0.999664
[58] eval-auc:0.673944 train-auc:0.999678
[59] eval-auc:0.67621 train-auc:0.999691
[60] eval-auc:0.678319 train-auc:0.999702
[61] eval-auc:0.678472 train-auc:0.9997
[62] eval-auc:0.678523 train-auc:0.999712
[63] eval-auc:0.680257 train-auc:0.999757
[64] eval-auc:0.678696 train-auc:0.99977
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[70] eval-auc:0.680074 train-auc:0.999787
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[72] eval-auc:0.679401 train-auc:0.999812
[73] eval-auc:0.678951 train-auc:0.999823
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[84] eval-auc:0.68197 train-auc:0.999888
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[86] eval-auc:0.681326 train-auc:0.999902
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[90] eval-auc:0.681848 train-auc:0.99992
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[111] eval-auc:0.685812 train-auc:0.999976
[112] eval-auc:0.685512 train-auc:0.999977
[113] eval-auc:0.685667 train-auc:0.999978
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[115] eval-auc:0.685722 train-auc:0.99998
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[117] eval-auc:0.686177 train-auc:0.99998
[118] eval-auc:0.686482 train-auc:0.999979
[119] eval-auc:0.686244 train-auc:0.999982
[120] eval-auc:0.685864 train-auc:0.999983
[121] eval-auc:0.686409 train-auc:0.999984
[122] eval-auc:0.686873 train-auc:0.999985
[123] eval-auc:0.686537 train-auc:0.999987
[124] eval-auc:0.68656 train-auc:0.999987
[125] eval-auc:0.686608 train-auc:0.999988
[126] eval-auc:0.686915 train-auc:0.999989
[127] eval-auc:0.686792 train-auc:0.999991
[128] eval-auc:0.687554 train-auc:0.999991
[129] eval-auc:0.687818 train-auc:0.999991
[130] eval-auc:0.688009 train-auc:0.999993
[131] eval-auc:0.688273 train-auc:0.999993
[132] eval-auc:0.688559 train-auc:0.999992
[133] eval-auc:0.688352 train-auc:0.999992
[134] eval-auc:0.688349 train-auc:0.999994
[135] eval-auc:0.688352 train-auc:0.999994
[136] eval-auc:0.688286 train-auc:0.999994
[137] eval-auc:0.688719 train-auc:0.999994
[138] eval-auc:0.688286 train-auc:0.999995
[139] eval-auc:0.688565 train-auc:0.999995
[140] eval-auc:0.688558 train-auc:0.999996
[141] eval-auc:0.688815 train-auc:0.999995
[142] eval-auc:0.688328 train-auc:0.999995
[143] eval-auc:0.688055 train-auc:0.999996
[144] eval-auc:0.688325 train-auc:0.999996
[145] eval-auc:0.68816 train-auc:0.999996
[146] eval-auc:0.688172 train-auc:0.999996
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[575] eval-auc:0.693569 train-auc:1
[576] eval-auc:0.693595 train-auc:1
[577] eval-auc:0.693572 train-auc:1
[578] eval-auc:0.693491 train-auc:1
[579] eval-auc:0.693602 train-auc:1
[580] eval-auc:0.693465 train-auc:1
[581] eval-auc:0.693484 train-auc:1
[582] eval-auc:0.693744 train-auc:1
[583] eval-auc:0.693712 train-auc:1
[584] eval-auc:0.693612 train-auc:1
[585] eval-auc:0.693482 train-auc:1
[586] eval-auc:0.693464 train-auc:1
[587] eval-auc:0.693421 train-auc:1
[588] eval-auc:0.693304 train-auc:1
[589] eval-auc:0.693304 train-auc:1
[590] eval-auc:0.69334 train-auc:1
[591] eval-auc:0.693213 train-auc:1
[592] eval-auc:0.693185 train-auc:1
[593] eval-auc:0.693159 train-auc:1
[594] eval-auc:0.693176 train-auc:1
[595] eval-auc:0.693401 train-auc:1
[596] eval-auc:0.693337 train-auc:1
[597] eval-auc:0.693354 train-auc:1
[598] eval-auc:0.693251 train-auc:1
[599] eval-auc:0.693269 train-auc:1
[600] eval-auc:0.693318 train-auc:1
[601] eval-auc:0.693135 train-auc:1
[602] eval-auc:0.693159 train-auc:1
[603] eval-auc:0.69321 train-auc:1
[604] eval-auc:0.693181 train-auc:1
[605] eval-auc:0.693277 train-auc:1
[606] eval-auc:0.693278 train-auc:1
[607] eval-auc:0.693251 train-auc:1
[608] eval-auc:0.693263 train-auc:1
[609] eval-auc:0.693166 train-auc:1
[610] eval-auc:0.693254 train-auc:1
[611] eval-auc:0.693293 train-auc:1
[612] eval-auc:0.693462 train-auc:1
[613] eval-auc:0.6935 train-auc:1
[614] eval-auc:0.693382 train-auc:1
[615] eval-auc:0.693398 train-auc:1
[616] eval-auc:0.693411 train-auc:1
[617] eval-auc:0.693458 train-auc:1
[618] eval-auc:0.693369 train-auc:1
[619] eval-auc:0.69313 train-auc:1
[620] eval-auc:0.693152 train-auc:1
[621] eval-auc:0.693173 train-auc:1
[622] eval-auc:0.693159 train-auc:1
[623] eval-auc:0.693336 train-auc:1
[624] eval-auc:0.69331 train-auc:1
[625] eval-auc:0.693414 train-auc:1
[626] eval-auc:0.693529 train-auc:1
[627] eval-auc:0.693545 train-auc:1
[628] eval-auc:0.693602 train-auc:1
[629] eval-auc:0.693605 train-auc:1
[630] eval-auc:0.693541 train-auc:1
[631] eval-auc:0.693608 train-auc:1
[632] eval-auc:0.693569 train-auc:1
[633] eval-auc:0.693516 train-auc:1
[634] eval-auc:0.693572 train-auc:1
[635] eval-auc:0.693581 train-auc:1
[636] eval-auc:0.693486 train-auc:1
[637] eval-auc:0.693499 train-auc:1
[638] eval-auc:0.693575 train-auc:1
[639] eval-auc:0.693391 train-auc:1
[640] eval-auc:0.69333 train-auc:1
[641] eval-auc:0.693362 train-auc:1
[642] eval-auc:0.693339 train-auc:1
[643] eval-auc:0.693441 train-auc:1
[644] eval-auc:0.69348 train-auc:1
[645] eval-auc:0.693408 train-auc:1
[646] eval-auc:0.693457 train-auc:1
[647] eval-auc:0.693461 train-auc:1
[648] eval-auc:0.693409 train-auc:1
[649] eval-auc:0.693336 train-auc:1
[650] eval-auc:0.69315 train-auc:1
[651] eval-auc:0.69322 train-auc:1
[652] eval-auc:0.69322 train-auc:1
[653] eval-auc:0.693385 train-auc:1
[654] eval-auc:0.693369 train-auc:1
[655] eval-auc:0.693386 train-auc:1
[656] eval-auc:0.69333 train-auc:1
[657] eval-auc:0.693334 train-auc:1
[658] eval-auc:0.693404 train-auc:1
[659] eval-auc:0.693424 train-auc:1
[660] eval-auc:0.69343 train-auc:1
[661] eval-auc:0.693453 train-auc:1
[662] eval-auc:0.693287 train-auc:1
[663] eval-auc:0.693275 train-auc:1
Score 0.6932749820316974
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8, 'eta': 0.15000000000000002, 'eval_metric': 'auc', 'gamma': 0.75, 'max_depth': 8, 'min_child_weight': 1.0, 'n_estimators': 432.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.702615 train-auc:0.824663
[1] eval-auc:0.660246 train-auc:0.873279
[2] eval-auc:0.684534 train-auc:0.898698
[3] eval-auc:0.669413 train-auc:0.91644
[4] eval-auc:0.660187 train-auc:0.920521
[5] eval-auc:0.664957 train-auc:0.94354
[6] eval-auc:0.676959 train-auc:0.956807
[7] eval-auc:0.683983 train-auc:0.965684
[8] eval-auc:0.680326 train-auc:0.971121
[9] eval-auc:0.686154 train-auc:0.975267
[10] eval-auc:0.689293 train-auc:0.978622
[11] eval-auc:0.687466 train-auc:0.979368
[12] eval-auc:0.688788 train-auc:0.980558
[13] eval-auc:0.687771 train-auc:0.98243
[14] eval-auc:0.689783 train-auc:0.983763
[15] eval-auc:0.689616 train-auc:0.984753
[16] eval-auc:0.687567 train-auc:0.986936
[17] eval-auc:0.687913 train-auc:0.989271
[18] eval-auc:0.688105 train-auc:0.990034
[19] eval-auc:0.689106 train-auc:0.990458
[20] eval-auc:0.687648 train-auc:0.991625
[21] eval-auc:0.688385 train-auc:0.992604
[22] eval-auc:0.686401 train-auc:0.99341
[23] eval-auc:0.685291 train-auc:0.994045
[24] eval-auc:0.686533 train-auc:0.994401
[25] eval-auc:0.685572 train-auc:0.995267
[26] eval-auc:0.686883 train-auc:0.995584
[27] eval-auc:0.686271 train-auc:0.995768
[28] eval-auc:0.686055 train-auc:0.995987
[29] eval-auc:0.685569 train-auc:0.996038
[30] eval-auc:0.686953 train-auc:0.99614
[31] eval-auc:0.686343 train-auc:0.996206
[32] eval-auc:0.686292 train-auc:0.996259
[33] eval-auc:0.685364 train-auc:0.996815
[34] eval-auc:0.686059 train-auc:0.996836
[35] eval-auc:0.686669 train-auc:0.997134
[36] eval-auc:0.686915 train-auc:0.997146
[37] eval-auc:0.687016 train-auc:0.99715
[38] eval-auc:0.687103 train-auc:0.997152
[39] eval-auc:0.687095 train-auc:0.997169
[40] eval-auc:0.687562 train-auc:0.997496
[41] eval-auc:0.688022 train-auc:0.997732
[42] eval-auc:0.688199 train-auc:0.997736
[43] eval-auc:0.688732 train-auc:0.99779
[44] eval-auc:0.689749 train-auc:0.998147
[45] eval-auc:0.688942 train-auc:0.998575
[46] eval-auc:0.689339 train-auc:0.998585
[47] eval-auc:0.689528 train-auc:0.998652
[48] eval-auc:0.690047 train-auc:0.998991
[49] eval-auc:0.690507 train-auc:0.99901
[50] eval-auc:0.688937 train-auc:0.999122
[51] eval-auc:0.687891 train-auc:0.999209
[52] eval-auc:0.687332 train-auc:0.99942
[53] eval-auc:0.686544 train-auc:0.99944
[54] eval-auc:0.685635 train-auc:0.999531
[55] eval-auc:0.68564 train-auc:0.99954
[56] eval-auc:0.685716 train-auc:0.999561
[57] eval-auc:0.68582 train-auc:0.999565
[58] eval-auc:0.685421 train-auc:0.999587
[59] eval-auc:0.68471 train-auc:0.999635
[60] eval-auc:0.685125 train-auc:0.999684
[61] eval-auc:0.683913 train-auc:0.999755
[62] eval-auc:0.684309 train-auc:0.999786
[63] eval-auc:0.683855 train-auc:0.999788
[64] eval-auc:0.684193 train-auc:0.999806
[65] eval-auc:0.684329 train-auc:0.99981
[66] eval-auc:0.685273 train-auc:0.999853
[67] eval-auc:0.684338 train-auc:0.999853
[68] eval-auc:0.684932 train-auc:0.999855
[69] eval-auc:0.685638 train-auc:0.999856
[70] eval-auc:0.685518 train-auc:0.999868
[71] eval-auc:0.685876 train-auc:0.999874
[72] eval-auc:0.686546 train-auc:0.999875
[73] eval-auc:0.685104 train-auc:0.999913
[74] eval-auc:0.683514 train-auc:0.999925
[75] eval-auc:0.683001 train-auc:0.999932
[76] eval-auc:0.683636 train-auc:0.999947
[77] eval-auc:0.68416 train-auc:0.999949
[78] eval-auc:0.683896 train-auc:0.999953
[79] eval-auc:0.683935 train-auc:0.999953
[80] eval-auc:0.68402 train-auc:0.999954
[81] eval-auc:0.683368 train-auc:0.999954
[82] eval-auc:0.683439 train-auc:0.999956
[83] eval-auc:0.683931 train-auc:0.999952
[84] eval-auc:0.683787 train-auc:0.999952
[85] eval-auc:0.683906 train-auc:0.999953
[86] eval-auc:0.683854 train-auc:0.999954
[87] eval-auc:0.683729 train-auc:0.999954
[88] eval-auc:0.683429 train-auc:0.999961
[89] eval-auc:0.682834 train-auc:0.999962
[90] eval-auc:0.683161 train-auc:0.999962
[91] eval-auc:0.683743 train-auc:0.999967
[92] eval-auc:0.68361 train-auc:0.999971
[93] eval-auc:0.682802 train-auc:0.999972
[94] eval-auc:0.682779 train-auc:0.999972
[95] eval-auc:0.68338 train-auc:0.999976
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[97] eval-auc:0.683164 train-auc:0.999979
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[100] eval-auc:0.682916 train-auc:0.999988
[101] eval-auc:0.683333 train-auc:0.999987
[102] eval-auc:0.6827 train-auc:0.999989
[103] eval-auc:0.68277 train-auc:0.999989
[104] eval-auc:0.682419 train-auc:0.999987
[105] eval-auc:0.682926 train-auc:0.999987
[106] eval-auc:0.683251 train-auc:0.999992
[107] eval-auc:0.682649 train-auc:0.999994
[108] eval-auc:0.683673 train-auc:0.999994
[109] eval-auc:0.684236 train-auc:0.999994
[110] eval-auc:0.684131 train-auc:0.999994
[111] eval-auc:0.684222 train-auc:0.999994
[112] eval-auc:0.684279 train-auc:0.999994
[113] eval-auc:0.68382 train-auc:0.999994
[114] eval-auc:0.684556 train-auc:0.999994
[115] eval-auc:0.684122 train-auc:0.999995
[116] eval-auc:0.684271 train-auc:0.999996
[117] eval-auc:0.684323 train-auc:0.999995
[118] eval-auc:0.684283 train-auc:0.999996
[119] eval-auc:0.683709 train-auc:0.999996
[120] eval-auc:0.683832 train-auc:0.999996
[121] eval-auc:0.683621 train-auc:0.999996
[122] eval-auc:0.683228 train-auc:0.999996
[123] eval-auc:0.682911 train-auc:0.999996
[124] eval-auc:0.682716 train-auc:0.999996
[125] eval-auc:0.682992 train-auc:0.999996
[126] eval-auc:0.682913 train-auc:0.999997
[127] eval-auc:0.682958 train-auc:0.999997
[128] eval-auc:0.682633 train-auc:0.999997
[129] eval-auc:0.68269 train-auc:0.999997
[130] eval-auc:0.681775 train-auc:0.999997
[131] eval-auc:0.681707 train-auc:0.999997
[132] eval-auc:0.681273 train-auc:0.999997
[133] eval-auc:0.682587 train-auc:0.999998
[134] eval-auc:0.682121 train-auc:0.999998
[135] eval-auc:0.682785 train-auc:1
[136] eval-auc:0.682467 train-auc:1
[137] eval-auc:0.68208 train-auc:1
[138] eval-auc:0.680711 train-auc:1
[139] eval-auc:0.68046 train-auc:1
[140] eval-auc:0.681069 train-auc:1
[141] eval-auc:0.680986 train-auc:1
[142] eval-auc:0.680932 train-auc:1
[143] eval-auc:0.680967 train-auc:1
[144] eval-auc:0.681028 train-auc:1
[145] eval-auc:0.681396 train-auc:1
[146] eval-auc:0.681353 train-auc:1
[147] eval-auc:0.681617 train-auc:1
[148] eval-auc:0.682639 train-auc:1
[149] eval-auc:0.683472 train-auc:1
[150] eval-auc:0.683618 train-auc:1
[151] eval-auc:0.683659 train-auc:1
[152] eval-auc:0.684318 train-auc:1
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[155] eval-auc:0.684312 train-auc:1
[156] eval-auc:0.684227 train-auc:1
[157] eval-auc:0.684271 train-auc:1
[158] eval-auc:0.683995 train-auc:1
[159] eval-auc:0.68403 train-auc:1
[160] eval-auc:0.684484 train-auc:1
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[166] eval-auc:0.684923 train-auc:1
[167] eval-auc:0.685635 train-auc:1
[168] eval-auc:0.686019 train-auc:1
[169] eval-auc:0.686394 train-auc:1
[170] eval-auc:0.68629 train-auc:1
[171] eval-auc:0.686567 train-auc:1
[172] eval-auc:0.686439 train-auc:1
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[174] eval-auc:0.68626 train-auc:1
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[177] eval-auc:0.686353 train-auc:1
[178] eval-auc:0.686464 train-auc:1
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[181] eval-auc:0.685804 train-auc:1
[182] eval-auc:0.686284 train-auc:1
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[185] eval-auc:0.686692 train-auc:1
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[187] eval-auc:0.686723 train-auc:1
[188] eval-auc:0.68628 train-auc:1
[189] eval-auc:0.686231 train-auc:1
[190] eval-auc:0.686231 train-auc:1
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[194] eval-auc:0.685902 train-auc:1
[195] eval-auc:0.685902 train-auc:1
[196] eval-auc:0.685902 train-auc:1
[197] eval-auc:0.685902 train-auc:1
[198] eval-auc:0.685902 train-auc:1
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[200] eval-auc:0.685902 train-auc:1
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[202] eval-auc:0.685389 train-auc:1
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[206] eval-auc:0.685389 train-auc:1
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[210] eval-auc:0.685109 train-auc:1
[211] eval-auc:0.684987 train-auc:1
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[222] eval-auc:0.685037 train-auc:1
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[250] eval-auc:0.685037 train-auc:1
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[256] eval-auc:0.685037 train-auc:1
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[277] eval-auc:0.68499 train-auc:1
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[292] eval-auc:0.68511 train-auc:1
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[294] eval-auc:0.68511 train-auc:1
[295] eval-auc:0.68511 train-auc:1
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[298] eval-auc:0.6856 train-auc:1
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[304] eval-auc:0.685472 train-auc:1
[305] eval-auc:0.685611 train-auc:1
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[310] eval-auc:0.685547 train-auc:1
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[315] eval-auc:0.685689 train-auc:1
[316] eval-auc:0.685689 train-auc:1
[317] eval-auc:0.685716 train-auc:1
[318] eval-auc:0.685716 train-auc:1
[319] eval-auc:0.685716 train-auc:1
[320] eval-auc:0.685716 train-auc:1
[321] eval-auc:0.685716 train-auc:1
[322] eval-auc:0.685716 train-auc:1
[323] eval-auc:0.685716 train-auc:1
[324] eval-auc:0.685716 train-auc:1
[325] eval-auc:0.685716 train-auc:1
[326] eval-auc:0.685716 train-auc:1
[327] eval-auc:0.685544 train-auc:1
[328] eval-auc:0.685544 train-auc:1
[329] eval-auc:0.685544 train-auc:1
[330] eval-auc:0.685544 train-auc:1
[331] eval-auc:0.685335 train-auc:1
[332] eval-auc:0.685335 train-auc:1
[333] eval-auc:0.685335 train-auc:1
[334] eval-auc:0.685335 train-auc:1
[335] eval-auc:0.685335 train-auc:1
[336] eval-auc:0.685139 train-auc:1
[337] eval-auc:0.685139 train-auc:1
[338] eval-auc:0.685139 train-auc:1
[339] eval-auc:0.685182 train-auc:1
[340] eval-auc:0.685221 train-auc:1
[341] eval-auc:0.68635 train-auc:1
[342] eval-auc:0.686299 train-auc:1
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[344] eval-auc:0.686675 train-auc:1
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[346] eval-auc:0.687263 train-auc:1
[347] eval-auc:0.687263 train-auc:1
[348] eval-auc:0.687263 train-auc:1
[349] eval-auc:0.687263 train-auc:1
[350] eval-auc:0.68769 train-auc:1
[351] eval-auc:0.687837 train-auc:1
[352] eval-auc:0.687656 train-auc:1
[353] eval-auc:0.687656 train-auc:1
[354] eval-auc:0.687656 train-auc:1
[355] eval-auc:0.687656 train-auc:1
[356] eval-auc:0.687656 train-auc:1
[357] eval-auc:0.687656 train-auc:1
[358] eval-auc:0.687557 train-auc:1
[359] eval-auc:0.68742 train-auc:1
[360] eval-auc:0.68742 train-auc:1
[361] eval-auc:0.68742 train-auc:1
[362] eval-auc:0.68742 train-auc:1
[363] eval-auc:0.68742 train-auc:1
[364] eval-auc:0.68742 train-auc:1
[365] eval-auc:0.687562 train-auc:1
[366] eval-auc:0.687562 train-auc:1
[367] eval-auc:0.687688 train-auc:1
[368] eval-auc:0.687688 train-auc:1
[369] eval-auc:0.687688 train-auc:1
[370] eval-auc:0.687377 train-auc:1
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[373] eval-auc:0.687498 train-auc:1
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[375] eval-auc:0.687403 train-auc:1
[376] eval-auc:0.687403 train-auc:1
[377] eval-auc:0.687403 train-auc:1
[378] eval-auc:0.687403 train-auc:1
[379] eval-auc:0.687403 train-auc:1
[380] eval-auc:0.687403 train-auc:1
[381] eval-auc:0.687403 train-auc:1
[382] eval-auc:0.687403 train-auc:1
[383] eval-auc:0.687403 train-auc:1
[384] eval-auc:0.687403 train-auc:1
[385] eval-auc:0.687403 train-auc:1
[386] eval-auc:0.687403 train-auc:1
[387] eval-auc:0.687403 train-auc:1
[388] eval-auc:0.687403 train-auc:1
[389] eval-auc:0.687403 train-auc:1
[390] eval-auc:0.687403 train-auc:1
[391] eval-auc:0.687403 train-auc:1
[392] eval-auc:0.687403 train-auc:1
[393] eval-auc:0.687571 train-auc:1
[394] eval-auc:0.687615 train-auc:1
[395] eval-auc:0.687067 train-auc:1
[396] eval-auc:0.687067 train-auc:1
[397] eval-auc:0.687067 train-auc:1
[398] eval-auc:0.687067 train-auc:1
[399] eval-auc:0.686901 train-auc:1
[400] eval-auc:0.686901 train-auc:1
[401] eval-auc:0.686901 train-auc:1
[402] eval-auc:0.686784 train-auc:1
[403] eval-auc:0.686784 train-auc:1
[404] eval-auc:0.686784 train-auc:1
[405] eval-auc:0.686784 train-auc:1
[406] eval-auc:0.6867 train-auc:1
[407] eval-auc:0.6867 train-auc:1
[408] eval-auc:0.6867 train-auc:1
[409] eval-auc:0.687187 train-auc:1
[410] eval-auc:0.687187 train-auc:1
[411] eval-auc:0.687187 train-auc:1
[412] eval-auc:0.687365 train-auc:1
[413] eval-auc:0.68733 train-auc:1
[414] eval-auc:0.687501 train-auc:1
[415] eval-auc:0.687501 train-auc:1
[416] eval-auc:0.687877 train-auc:1
[417] eval-auc:0.687804 train-auc:1
[418] eval-auc:0.687851 train-auc:1
[419] eval-auc:0.68791 train-auc:1
[420] eval-auc:0.68798 train-auc:1
[421] eval-auc:0.68798 train-auc:1
[422] eval-auc:0.68798 train-auc:1
[423] eval-auc:0.68798 train-auc:1
[424] eval-auc:0.68798 train-auc:1
[425] eval-auc:0.68798 train-auc:1
[426] eval-auc:0.68798 train-auc:1
[427] eval-auc:0.689601 train-auc:1
[428] eval-auc:0.689601 train-auc:1
[429] eval-auc:0.689564 train-auc:1
[430] eval-auc:0.689432 train-auc:1
[431] eval-auc:0.689505 train-auc:1
Score 0.6895046839406012
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8, 'eta': 0.05, 'eval_metric': 'auc', 'gamma': 0.5, 'max_depth': 3, 'min_child_weight': 1.0, 'n_estimators': 299.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.67802 train-auc:0.692356
[1] eval-auc:0.666943 train-auc:0.706791
[2] eval-auc:0.683919 train-auc:0.718706
[3] eval-auc:0.678941 train-auc:0.718883
[4] eval-auc:0.692402 train-auc:0.729162
[5] eval-auc:0.693153 train-auc:0.727567
[6] eval-auc:0.696553 train-auc:0.730931
[7] eval-auc:0.692873 train-auc:0.727314
[8] eval-auc:0.694816 train-auc:0.731378
[9] eval-auc:0.697852 train-auc:0.731266
[10] eval-auc:0.701081 train-auc:0.734105
[11] eval-auc:0.698729 train-auc:0.737013
[12] eval-auc:0.697319 train-auc:0.735762
[13] eval-auc:0.701463 train-auc:0.735935
[14] eval-auc:0.699077 train-auc:0.737272
[15] eval-auc:0.697798 train-auc:0.738354
[16] eval-auc:0.696653 train-auc:0.740388
[17] eval-auc:0.699163 train-auc:0.742497
[18] eval-auc:0.69954 train-auc:0.744977
[19] eval-auc:0.700269 train-auc:0.746663
[20] eval-auc:0.701222 train-auc:0.746279
[21] eval-auc:0.701837 train-auc:0.747899
[22] eval-auc:0.701558 train-auc:0.747681
[23] eval-auc:0.701888 train-auc:0.749602
[24] eval-auc:0.703407 train-auc:0.752587
[25] eval-auc:0.703164 train-auc:0.751707
[26] eval-auc:0.704192 train-auc:0.751237
[27] eval-auc:0.705365 train-auc:0.753712
[28] eval-auc:0.706486 train-auc:0.753854
[29] eval-auc:0.707515 train-auc:0.753533
[30] eval-auc:0.707167 train-auc:0.755101
[31] eval-auc:0.706382 train-auc:0.75496
[32] eval-auc:0.706482 train-auc:0.754964
[33] eval-auc:0.706938 train-auc:0.755755
[34] eval-auc:0.705829 train-auc:0.757257
[35] eval-auc:0.706674 train-auc:0.758697
[36] eval-auc:0.707155 train-auc:0.759866
[37] eval-auc:0.708362 train-auc:0.759815
[38] eval-auc:0.707937 train-auc:0.76022
[39] eval-auc:0.708096 train-auc:0.76052
[40] eval-auc:0.707461 train-auc:0.760493
[41] eval-auc:0.707857 train-auc:0.761207
[42] eval-auc:0.708036 train-auc:0.761615
[43] eval-auc:0.708568 train-auc:0.763979
[44] eval-auc:0.709076 train-auc:0.765717
[45] eval-auc:0.709698 train-auc:0.767798
[46] eval-auc:0.709744 train-auc:0.769206
[47] eval-auc:0.709765 train-auc:0.770435
[48] eval-auc:0.710724 train-auc:0.77045
[49] eval-auc:0.709818 train-auc:0.77163
[50] eval-auc:0.70966 train-auc:0.772852
[51] eval-auc:0.709775 train-auc:0.773625
[52] eval-auc:0.709499 train-auc:0.774793
[53] eval-auc:0.708899 train-auc:0.775607
[54] eval-auc:0.709245 train-auc:0.776597
[55] eval-auc:0.709181 train-auc:0.777194
[56] eval-auc:0.708769 train-auc:0.777796
[57] eval-auc:0.708607 train-auc:0.778667
[58] eval-auc:0.709322 train-auc:0.779129
[59] eval-auc:0.709844 train-auc:0.781147
[60] eval-auc:0.709079 train-auc:0.783115
[61] eval-auc:0.708937 train-auc:0.783922
[62] eval-auc:0.709156 train-auc:0.78461
[63] eval-auc:0.709188 train-auc:0.785688
[64] eval-auc:0.70908 train-auc:0.785821
[65] eval-auc:0.709156 train-auc:0.786154
[66] eval-auc:0.709721 train-auc:0.786782
[67] eval-auc:0.709785 train-auc:0.787344
[68] eval-auc:0.709557 train-auc:0.78807
[69] eval-auc:0.709704 train-auc:0.788793
[70] eval-auc:0.709645 train-auc:0.789077
[71] eval-auc:0.709733 train-auc:0.789154
[72] eval-auc:0.709184 train-auc:0.789099
[73] eval-auc:0.709612 train-auc:0.789943
[74] eval-auc:0.709619 train-auc:0.790618
[75] eval-auc:0.709781 train-auc:0.79082
[76] eval-auc:0.710206 train-auc:0.791395
[77] eval-auc:0.710403 train-auc:0.792731
[78] eval-auc:0.710614 train-auc:0.793362
[79] eval-auc:0.711315 train-auc:0.793684
[80] eval-auc:0.711571 train-auc:0.795308
[81] eval-auc:0.711675 train-auc:0.796244
[82] eval-auc:0.711558 train-auc:0.796599
[83] eval-auc:0.711685 train-auc:0.798412
[84] eval-auc:0.711693 train-auc:0.798498
[85] eval-auc:0.711329 train-auc:0.799473
[86] eval-auc:0.711059 train-auc:0.799638
[87] eval-auc:0.711108 train-auc:0.799283
[88] eval-auc:0.710896 train-auc:0.800486
[89] eval-auc:0.710994 train-auc:0.801158
[90] eval-auc:0.711019 train-auc:0.801188
[91] eval-auc:0.711394 train-auc:0.801458
[92] eval-auc:0.711782 train-auc:0.801947
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[95] eval-auc:0.711903 train-auc:0.803572
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[100] eval-auc:0.711121 train-auc:0.80559
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[103] eval-auc:0.710732 train-auc:0.807371
[104] eval-auc:0.710783 train-auc:0.807538
[105] eval-auc:0.710826 train-auc:0.808241
[106] eval-auc:0.710835 train-auc:0.808271
[107] eval-auc:0.711373 train-auc:0.80834
[108] eval-auc:0.710921 train-auc:0.808973
[109] eval-auc:0.710891 train-auc:0.80953
[110] eval-auc:0.710667 train-auc:0.810409
[111] eval-auc:0.710644 train-auc:0.811064
[112] eval-auc:0.710757 train-auc:0.811357
[113] eval-auc:0.710971 train-auc:0.812211
[114] eval-auc:0.710944 train-auc:0.812816
[115] eval-auc:0.710602 train-auc:0.813188
[116] eval-auc:0.710878 train-auc:0.814431
[117] eval-auc:0.710885 train-auc:0.814716
[118] eval-auc:0.710971 train-auc:0.815507
[119] eval-auc:0.710492 train-auc:0.816309
[120] eval-auc:0.710541 train-auc:0.817284
[121] eval-auc:0.710714 train-auc:0.817338
[122] eval-auc:0.710777 train-auc:0.818256
[123] eval-auc:0.711154 train-auc:0.819328
[124] eval-auc:0.711357 train-auc:0.81967
[125] eval-auc:0.711022 train-auc:0.820752
[126] eval-auc:0.710978 train-auc:0.821364
[127] eval-auc:0.711282 train-auc:0.821981
[128] eval-auc:0.71161 train-auc:0.822971
[129] eval-auc:0.711913 train-auc:0.82369
[130] eval-auc:0.712206 train-auc:0.824794
[131] eval-auc:0.712232 train-auc:0.824872
[132] eval-auc:0.712221 train-auc:0.825404
[133] eval-auc:0.712079 train-auc:0.825781
[134] eval-auc:0.712085 train-auc:0.826016
[135] eval-auc:0.711615 train-auc:0.827356
[136] eval-auc:0.711674 train-auc:0.827638
[137] eval-auc:0.711552 train-auc:0.82841
[138] eval-auc:0.711453 train-auc:0.82903
[139] eval-auc:0.711391 train-auc:0.82927
[140] eval-auc:0.711823 train-auc:0.83009
[141] eval-auc:0.711805 train-auc:0.830521
[142] eval-auc:0.710949 train-auc:0.831259
[143] eval-auc:0.711662 train-auc:0.832287
[144] eval-auc:0.711169 train-auc:0.832942
[145] eval-auc:0.711335 train-auc:0.832949
[146] eval-auc:0.710734 train-auc:0.833745
[147] eval-auc:0.710403 train-auc:0.834277
[148] eval-auc:0.710847 train-auc:0.835076
[149] eval-auc:0.71124 train-auc:0.835817
[150] eval-auc:0.711173 train-auc:0.836402
[151] eval-auc:0.710566 train-auc:0.83673
[152] eval-auc:0.71057 train-auc:0.836552
[153] eval-auc:0.710835 train-auc:0.837102
[154] eval-auc:0.710333 train-auc:0.83783
[155] eval-auc:0.710477 train-auc:0.838971
[156] eval-auc:0.710783 train-auc:0.839302
[157] eval-auc:0.710587 train-auc:0.839977
[158] eval-auc:0.710604 train-auc:0.840229
[159] eval-auc:0.710712 train-auc:0.840647
[160] eval-auc:0.710797 train-auc:0.841345
[161] eval-auc:0.710704 train-auc:0.841741
[162] eval-auc:0.710081 train-auc:0.842594
[163] eval-auc:0.710159 train-auc:0.842974
[164] eval-auc:0.710222 train-auc:0.843713
[165] eval-auc:0.710703 train-auc:0.844641
[166] eval-auc:0.71027 train-auc:0.844506
[167] eval-auc:0.710183 train-auc:0.846268
[168] eval-auc:0.710293 train-auc:0.846428
[169] eval-auc:0.710075 train-auc:0.846703
[170] eval-auc:0.709864 train-auc:0.847196
[171] eval-auc:0.709798 train-auc:0.847113
[172] eval-auc:0.709964 train-auc:0.847291
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[175] eval-auc:0.708883 train-auc:0.849036
[176] eval-auc:0.708883 train-auc:0.849266
[177] eval-auc:0.7089 train-auc:0.849747
[178] eval-auc:0.708744 train-auc:0.850158
[179] eval-auc:0.709337 train-auc:0.850807
[180] eval-auc:0.709069 train-auc:0.851085
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[182] eval-auc:0.708761 train-auc:0.852022
[183] eval-auc:0.709405 train-auc:0.852857
[184] eval-auc:0.70951 train-auc:0.853242
[185] eval-auc:0.709958 train-auc:0.854352
[186] eval-auc:0.709803 train-auc:0.855085
[187] eval-auc:0.709517 train-auc:0.85575
[188] eval-auc:0.709735 train-auc:0.85635
[189] eval-auc:0.709836 train-auc:0.856832
[190] eval-auc:0.710103 train-auc:0.857428
[191] eval-auc:0.710014 train-auc:0.857808
[192] eval-auc:0.709838 train-auc:0.858115
[193] eval-auc:0.709641 train-auc:0.858333
[194] eval-auc:0.709475 train-auc:0.858718
[195] eval-auc:0.710022 train-auc:0.859749
[196] eval-auc:0.709542 train-auc:0.859764
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[202] eval-auc:0.709212 train-auc:0.862559
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[211] eval-auc:0.70959 train-auc:0.865651
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[220] eval-auc:0.709998 train-auc:0.868963
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[225] eval-auc:0.710633 train-auc:0.870738
[226] eval-auc:0.711205 train-auc:0.870798
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[228] eval-auc:0.711053 train-auc:0.870956
[229] eval-auc:0.710853 train-auc:0.871271
[230] eval-auc:0.710398 train-auc:0.872058
[231] eval-auc:0.710103 train-auc:0.872286
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[233] eval-auc:0.709879 train-auc:0.873126
[234] eval-auc:0.709553 train-auc:0.873473
[235] eval-auc:0.709341 train-auc:0.873896
[236] eval-auc:0.709737 train-auc:0.87419
[237] eval-auc:0.709964 train-auc:0.874657
[238] eval-auc:0.710112 train-auc:0.875376
[239] eval-auc:0.710033 train-auc:0.875551
[240] eval-auc:0.710021 train-auc:0.87567
[241] eval-auc:0.709367 train-auc:0.876331
[242] eval-auc:0.708569 train-auc:0.877044
[243] eval-auc:0.708775 train-auc:0.877203
[244] eval-auc:0.708393 train-auc:0.87798
[245] eval-auc:0.708376 train-auc:0.877862
[246] eval-auc:0.708413 train-auc:0.87793
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[248] eval-auc:0.70851 train-auc:0.878199
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[251] eval-auc:0.707656 train-auc:0.878758
[252] eval-auc:0.707496 train-auc:0.879225
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[254] eval-auc:0.707727 train-auc:0.880484
[255] eval-auc:0.707167 train-auc:0.881041
[256] eval-auc:0.707181 train-auc:0.881139
[257] eval-auc:0.706824 train-auc:0.881418
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[259] eval-auc:0.707132 train-auc:0.882624
[260] eval-auc:0.707171 train-auc:0.882627
[261] eval-auc:0.707526 train-auc:0.882926
[262] eval-auc:0.707408 train-auc:0.882902
[263] eval-auc:0.707653 train-auc:0.883706
[264] eval-auc:0.707435 train-auc:0.884061
[265] eval-auc:0.70751 train-auc:0.884099
[266] eval-auc:0.70773 train-auc:0.884344
[267] eval-auc:0.70743 train-auc:0.885157
[268] eval-auc:0.707561 train-auc:0.885385
[269] eval-auc:0.707258 train-auc:0.885483
[270] eval-auc:0.707639 train-auc:0.886271
[271] eval-auc:0.70733 train-auc:0.886811
[272] eval-auc:0.7075 train-auc:0.887637
[273] eval-auc:0.707305 train-auc:0.888
[274] eval-auc:0.70736 train-auc:0.888447
[275] eval-auc:0.707325 train-auc:0.888949
[276] eval-auc:0.707659 train-auc:0.889449
[277] eval-auc:0.707604 train-auc:0.889999
[278] eval-auc:0.70764 train-auc:0.890114
[279] eval-auc:0.707277 train-auc:0.890367
[280] eval-auc:0.707383 train-auc:0.890419
[281] eval-auc:0.707344 train-auc:0.890825
[282] eval-auc:0.706929 train-auc:0.890904
[283] eval-auc:0.707108 train-auc:0.891149
[284] eval-auc:0.706733 train-auc:0.891159
[285] eval-auc:0.706759 train-auc:0.89121
[286] eval-auc:0.706785 train-auc:0.891319
[287] eval-auc:0.706846 train-auc:0.89138
[288] eval-auc:0.706766 train-auc:0.891438
[289] eval-auc:0.706741 train-auc:0.891639
[290] eval-auc:0.706596 train-auc:0.891803
[291] eval-auc:0.706355 train-auc:0.892093
[292] eval-auc:0.706297 train-auc:0.892172
[293] eval-auc:0.706343 train-auc:0.892193
[294] eval-auc:0.706619 train-auc:0.892432
[295] eval-auc:0.70666 train-auc:0.893088
[296] eval-auc:0.706785 train-auc:0.893126
[297] eval-auc:0.706853 train-auc:0.893081
[298] eval-auc:0.706885 train-auc:0.893196
Score 0.7068852099550488
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8500000000000001, 'eta': 0.025, 'eval_metric': 'auc', 'gamma': 0.6000000000000001, 'max_depth': 12, 'min_child_weight': 1.0, 'n_estimators': 345.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.55, 'tree_method': 'exact'}
[0] eval-auc:0.674282 train-auc:0.820401
[1] eval-auc:0.648913 train-auc:0.86096
[2] eval-auc:0.67107 train-auc:0.892627
[3] eval-auc:0.676625 train-auc:0.90995
[4] eval-auc:0.686544 train-auc:0.923589
[5] eval-auc:0.677328 train-auc:0.936197
[6] eval-auc:0.675401 train-auc:0.94551
[7] eval-auc:0.685064 train-auc:0.952387
[8] eval-auc:0.686157 train-auc:0.957347
[9] eval-auc:0.688017 train-auc:0.96002
[10] eval-auc:0.690625 train-auc:0.965913
[11] eval-auc:0.689416 train-auc:0.973001
[12] eval-auc:0.691111 train-auc:0.975594
[13] eval-auc:0.689792 train-auc:0.976323
[14] eval-auc:0.68587 train-auc:0.979476
[15] eval-auc:0.682715 train-auc:0.982787
[16] eval-auc:0.680447 train-auc:0.985599
[17] eval-auc:0.682375 train-auc:0.987139
[18] eval-auc:0.679678 train-auc:0.988262
[19] eval-auc:0.678792 train-auc:0.988907
[20] eval-auc:0.680498 train-auc:0.990279
[21] eval-auc:0.685215 train-auc:0.991236
[22] eval-auc:0.685042 train-auc:0.991876
[23] eval-auc:0.689671 train-auc:0.992564
[24] eval-auc:0.688279 train-auc:0.993057
[25] eval-auc:0.688317 train-auc:0.993913
[26] eval-auc:0.686315 train-auc:0.993824
[27] eval-auc:0.687144 train-auc:0.994629
[28] eval-auc:0.687691 train-auc:0.995241
[29] eval-auc:0.687417 train-auc:0.995243
[30] eval-auc:0.687173 train-auc:0.995539
[31] eval-auc:0.687918 train-auc:0.995642
[32] eval-auc:0.687341 train-auc:0.99625
[33] eval-auc:0.685954 train-auc:0.996289
[34] eval-auc:0.683265 train-auc:0.996793
[35] eval-auc:0.682984 train-auc:0.997006
[36] eval-auc:0.681603 train-auc:0.996921
[37] eval-auc:0.680415 train-auc:0.996899
[38] eval-auc:0.6804 train-auc:0.996986
[39] eval-auc:0.681186 train-auc:0.997052
[40] eval-auc:0.680256 train-auc:0.99709
[41] eval-auc:0.67966 train-auc:0.99719
[42] eval-auc:0.679296 train-auc:0.997149
[43] eval-auc:0.678917 train-auc:0.997163
[44] eval-auc:0.680154 train-auc:0.997254
[45] eval-auc:0.680926 train-auc:0.997265
[46] eval-auc:0.68116 train-auc:0.997582
[47] eval-auc:0.681687 train-auc:0.997519
[48] eval-auc:0.683415 train-auc:0.99752
[49] eval-auc:0.682368 train-auc:0.997686
[50] eval-auc:0.683315 train-auc:0.997896
[51] eval-auc:0.683771 train-auc:0.998187
[52] eval-auc:0.683718 train-auc:0.998298
[53] eval-auc:0.684417 train-auc:0.998412
[54] eval-auc:0.685369 train-auc:0.998469
[55] eval-auc:0.685166 train-auc:0.998595
[56] eval-auc:0.684877 train-auc:0.998701
[57] eval-auc:0.683858 train-auc:0.998752
[58] eval-auc:0.684813 train-auc:0.998907
[59] eval-auc:0.68458 train-auc:0.998865
[60] eval-auc:0.685403 train-auc:0.998892
[61] eval-auc:0.685106 train-auc:0.998879
[62] eval-auc:0.68605 train-auc:0.998922
[63] eval-auc:0.687431 train-auc:0.998969
[64] eval-auc:0.687251 train-auc:0.999024
[65] eval-auc:0.686726 train-auc:0.999087
[66] eval-auc:0.68663 train-auc:0.999225
[67] eval-auc:0.686039 train-auc:0.999259
[68] eval-auc:0.686905 train-auc:0.999274
[69] eval-auc:0.687001 train-auc:0.999313
[70] eval-auc:0.686939 train-auc:0.999322
[71] eval-auc:0.688035 train-auc:0.999365
[72] eval-auc:0.687843 train-auc:0.999416
[73] eval-auc:0.687766 train-auc:0.999449
[74] eval-auc:0.688483 train-auc:0.999475
[75] eval-auc:0.688867 train-auc:0.999467
[76] eval-auc:0.689282 train-auc:0.999487
[77] eval-auc:0.688684 train-auc:0.999514
[78] eval-auc:0.688625 train-auc:0.99951
[79] eval-auc:0.688498 train-auc:0.999539
[80] eval-auc:0.688308 train-auc:0.99955
[81] eval-auc:0.687578 train-auc:0.999573
[82] eval-auc:0.687848 train-auc:0.99957
[83] eval-auc:0.687417 train-auc:0.999585
[84] eval-auc:0.688113 train-auc:0.999605
[85] eval-auc:0.687189 train-auc:0.99963
[86] eval-auc:0.687447 train-auc:0.999633
[87] eval-auc:0.687824 train-auc:0.999651
[88] eval-auc:0.687653 train-auc:0.999679
[89] eval-auc:0.687868 train-auc:0.999681
[90] eval-auc:0.687621 train-auc:0.999678
[91] eval-auc:0.687604 train-auc:0.999694
[92] eval-auc:0.686788 train-auc:0.999726
[93] eval-auc:0.687144 train-auc:0.999727
[94] eval-auc:0.686583 train-auc:0.999724
[95] eval-auc:0.686471 train-auc:0.999744
[96] eval-auc:0.686238 train-auc:0.999756
[97] eval-auc:0.685882 train-auc:0.999768
[98] eval-auc:0.685934 train-auc:0.999794
[99] eval-auc:0.685938 train-auc:0.999825
[100] eval-auc:0.686561 train-auc:0.999822
[101] eval-auc:0.686138 train-auc:0.999821
[102] eval-auc:0.685934 train-auc:0.999834
[103] eval-auc:0.685661 train-auc:0.999833
[104] eval-auc:0.686255 train-auc:0.999829
[105] eval-auc:0.685929 train-auc:0.99984
[106] eval-auc:0.686278 train-auc:0.99985
[107] eval-auc:0.686671 train-auc:0.999866
[108] eval-auc:0.686397 train-auc:0.999872
[109] eval-auc:0.686509 train-auc:0.999883
[110] eval-auc:0.686675 train-auc:0.999882
[111] eval-auc:0.686607 train-auc:0.999898
[112] eval-auc:0.686331 train-auc:0.999904
[113] eval-auc:0.68605 train-auc:0.999911
[114] eval-auc:0.686143 train-auc:0.999911
[115] eval-auc:0.686426 train-auc:0.999915
[116] eval-auc:0.687571 train-auc:0.999916
[117] eval-auc:0.687234 train-auc:0.999923
[118] eval-auc:0.687581 train-auc:0.999934
[119] eval-auc:0.688221 train-auc:0.999941
[120] eval-auc:0.688251 train-auc:0.999945
[121] eval-auc:0.688189 train-auc:0.999949
[122] eval-auc:0.688612 train-auc:0.999957
[123] eval-auc:0.688471 train-auc:0.999959
[124] eval-auc:0.688255 train-auc:0.999962
[125] eval-auc:0.688396 train-auc:0.999968
[126] eval-auc:0.687871 train-auc:0.999965
[127] eval-auc:0.688325 train-auc:0.999964
[128] eval-auc:0.688564 train-auc:0.99997
[129] eval-auc:0.689103 train-auc:0.999974
[130] eval-auc:0.689465 train-auc:0.999974
[131] eval-auc:0.689255 train-auc:0.999979
[132] eval-auc:0.689295 train-auc:0.999981
[133] eval-auc:0.689401 train-auc:0.999984
[134] eval-auc:0.688923 train-auc:0.999988
[135] eval-auc:0.688608 train-auc:0.999988
[136] eval-auc:0.688561 train-auc:0.99999
[137] eval-auc:0.688085 train-auc:0.999992
[138] eval-auc:0.688201 train-auc:0.999992
[139] eval-auc:0.688631 train-auc:0.999993
[140] eval-auc:0.688978 train-auc:0.999995
[141] eval-auc:0.689094 train-auc:0.999996
[142] eval-auc:0.6891 train-auc:0.999997
[143] eval-auc:0.689132 train-auc:0.999998
[144] eval-auc:0.689255 train-auc:0.999998
[145] eval-auc:0.689168 train-auc:0.999999
[146] eval-auc:0.689456 train-auc:0.999999
[147] eval-auc:0.689601 train-auc:0.999999
[148] eval-auc:0.689841 train-auc:0.999999
[149] eval-auc:0.6898 train-auc:0.999999
[150] eval-auc:0.68917 train-auc:0.999999
[151] eval-auc:0.689208 train-auc:0.999999
[152] eval-auc:0.689646 train-auc:0.999999
[153] eval-auc:0.690284 train-auc:0.999998
[154] eval-auc:0.689923 train-auc:0.999998
[155] eval-auc:0.689884 train-auc:0.999998
[156] eval-auc:0.690095 train-auc:0.999999
[157] eval-auc:0.690365 train-auc:0.999999
[158] eval-auc:0.690217 train-auc:0.999999
[159] eval-auc:0.690141 train-auc:0.999999
[160] eval-auc:0.689936 train-auc:0.999999
[161] eval-auc:0.689488 train-auc:0.999999
[162] eval-auc:0.689709 train-auc:1
[163] eval-auc:0.689649 train-auc:1
[164] eval-auc:0.68966 train-auc:0.999999
[165] eval-auc:0.689616 train-auc:1
[166] eval-auc:0.689572 train-auc:0.999999
[167] eval-auc:0.689619 train-auc:0.999998
[168] eval-auc:0.689654 train-auc:0.999999
[169] eval-auc:0.689916 train-auc:0.999999
[170] eval-auc:0.690076 train-auc:0.999999
[171] eval-auc:0.690159 train-auc:0.999999
[172] eval-auc:0.689829 train-auc:0.999999
[173] eval-auc:0.689707 train-auc:0.999998
[174] eval-auc:0.689552 train-auc:0.999998
[175] eval-auc:0.689229 train-auc:0.999998
[176] eval-auc:0.689595 train-auc:0.999998
[177] eval-auc:0.689916 train-auc:0.999998
[178] eval-auc:0.690181 train-auc:0.999999
[179] eval-auc:0.690443 train-auc:0.999999
[180] eval-auc:0.690558 train-auc:0.999999
[181] eval-auc:0.690478 train-auc:0.999999
[182] eval-auc:0.690784 train-auc:0.999999
[183] eval-auc:0.690638 train-auc:1
[184] eval-auc:0.690732 train-auc:0.999999
[185] eval-auc:0.690673 train-auc:0.999999
[186] eval-auc:0.690802 train-auc:0.999999
[187] eval-auc:0.690819 train-auc:0.999998
[188] eval-auc:0.690665 train-auc:0.999999
[189] eval-auc:0.690727 train-auc:0.999999
[190] eval-auc:0.690765 train-auc:0.999998
[191] eval-auc:0.690826 train-auc:0.999999
[192] eval-auc:0.690656 train-auc:0.999999
[193] eval-auc:0.690473 train-auc:0.999999
[194] eval-auc:0.690461 train-auc:0.999998
[195] eval-auc:0.690647 train-auc:0.999999
[196] eval-auc:0.690904 train-auc:0.999999
[197] eval-auc:0.690906 train-auc:0.999999
[198] eval-auc:0.69091 train-auc:0.999999
[199] eval-auc:0.690866 train-auc:0.999999
[200] eval-auc:0.69096 train-auc:0.999999
[201] eval-auc:0.690775 train-auc:0.999998
[202] eval-auc:0.690817 train-auc:0.999998
[203] eval-auc:0.690796 train-auc:0.999999
[204] eval-auc:0.690933 train-auc:0.999999
[205] eval-auc:0.690785 train-auc:0.999999
[206] eval-auc:0.690557 train-auc:0.999999
[207] eval-auc:0.689977 train-auc:0.999999
[208] eval-auc:0.689838 train-auc:0.999999
[209] eval-auc:0.689764 train-auc:0.999999
[210] eval-auc:0.689675 train-auc:0.999999
[211] eval-auc:0.689514 train-auc:0.999999
[212] eval-auc:0.689302 train-auc:0.999999
[213] eval-auc:0.68927 train-auc:0.999999
[214] eval-auc:0.689246 train-auc:0.999999
[215] eval-auc:0.689671 train-auc:0.999999
[216] eval-auc:0.690121 train-auc:1
[217] eval-auc:0.68964 train-auc:1
[218] eval-auc:0.689888 train-auc:1
[219] eval-auc:0.689721 train-auc:1
[220] eval-auc:0.68989 train-auc:1
[221] eval-auc:0.689636 train-auc:1
[222] eval-auc:0.689823 train-auc:1
[223] eval-auc:0.689898 train-auc:1
[224] eval-auc:0.689995 train-auc:1
[225] eval-auc:0.689989 train-auc:1
[226] eval-auc:0.690156 train-auc:1
[227] eval-auc:0.690423 train-auc:1
[228] eval-auc:0.690415 train-auc:1
[229] eval-auc:0.690491 train-auc:1
[230] eval-auc:0.690784 train-auc:1
[231] eval-auc:0.69095 train-auc:1
[232] eval-auc:0.690811 train-auc:1
[233] eval-auc:0.691002 train-auc:1
[234] eval-auc:0.691088 train-auc:1
[235] eval-auc:0.69132 train-auc:1
[236] eval-auc:0.691011 train-auc:1
[237] eval-auc:0.691273 train-auc:1
[238] eval-auc:0.691295 train-auc:1
[239] eval-auc:0.691324 train-auc:1
[240] eval-auc:0.69161 train-auc:1
[241] eval-auc:0.691635 train-auc:1
[242] eval-auc:0.691573 train-auc:1
[243] eval-auc:0.691467 train-auc:1
[244] eval-auc:0.691411 train-auc:1
[245] eval-auc:0.691387 train-auc:1
[246] eval-auc:0.691471 train-auc:1
[247] eval-auc:0.691082 train-auc:1
[248] eval-auc:0.691038 train-auc:1
[249] eval-auc:0.691136 train-auc:1
[250] eval-auc:0.691362 train-auc:1
[251] eval-auc:0.691314 train-auc:1
[252] eval-auc:0.691352 train-auc:1
[253] eval-auc:0.691632 train-auc:1
[254] eval-auc:0.692057 train-auc:1
[255] eval-auc:0.691903 train-auc:1
[256] eval-auc:0.692229 train-auc:1
[257] eval-auc:0.692364 train-auc:1
[258] eval-auc:0.692134 train-auc:1
[259] eval-auc:0.692177 train-auc:1
[260] eval-auc:0.69222 train-auc:1
[261] eval-auc:0.692396 train-auc:1
[262] eval-auc:0.692375 train-auc:1
[263] eval-auc:0.692514 train-auc:1
[264] eval-auc:0.692721 train-auc:1
[265] eval-auc:0.692389 train-auc:1
[266] eval-auc:0.692063 train-auc:1
[267] eval-auc:0.692142 train-auc:1
[268] eval-auc:0.691708 train-auc:1
[269] eval-auc:0.691825 train-auc:1
[270] eval-auc:0.691659 train-auc:1
[271] eval-auc:0.691964 train-auc:1
[272] eval-auc:0.691952 train-auc:1
[273] eval-auc:0.69201 train-auc:1
[274] eval-auc:0.692232 train-auc:1
[275] eval-auc:0.692392 train-auc:1
[276] eval-auc:0.692608 train-auc:1
[277] eval-auc:0.692526 train-auc:1
[278] eval-auc:0.692916 train-auc:1
[279] eval-auc:0.693036 train-auc:1
[280] eval-auc:0.692762 train-auc:1
[281] eval-auc:0.692795 train-auc:1
[282] eval-auc:0.692747 train-auc:1
[283] eval-auc:0.693121 train-auc:1
[284] eval-auc:0.693053 train-auc:1
[285] eval-auc:0.692961 train-auc:1
[286] eval-auc:0.692859 train-auc:1
[287] eval-auc:0.692815 train-auc:1
[288] eval-auc:0.69284 train-auc:1
[289] eval-auc:0.693083 train-auc:1
[290] eval-auc:0.693123 train-auc:1
[291] eval-auc:0.692999 train-auc:1
[292] eval-auc:0.693065 train-auc:1
[293] eval-auc:0.692646 train-auc:1
[294] eval-auc:0.692444 train-auc:1
[295] eval-auc:0.692227 train-auc:1
[296] eval-auc:0.692307 train-auc:1
[297] eval-auc:0.692433 train-auc:1
[298] eval-auc:0.692899 train-auc:1
[299] eval-auc:0.692838 train-auc:1
[300] eval-auc:0.692552 train-auc:1
[301] eval-auc:0.69257 train-auc:1
[302] eval-auc:0.69304 train-auc:1
[303] eval-auc:0.693203 train-auc:1
[304] eval-auc:0.693218 train-auc:1
[305] eval-auc:0.692917 train-auc:1
[306] eval-auc:0.69275 train-auc:1
[307] eval-auc:0.692827 train-auc:1
[308] eval-auc:0.692893 train-auc:1
[309] eval-auc:0.692489 train-auc:1
[310] eval-auc:0.69222 train-auc:1
[311] eval-auc:0.69225 train-auc:1
[312] eval-auc:0.692271 train-auc:1
[313] eval-auc:0.692303 train-auc:1
[314] eval-auc:0.6923 train-auc:1
[315] eval-auc:0.692139 train-auc:1
[316] eval-auc:0.692194 train-auc:1
[317] eval-auc:0.692137 train-auc:1
[318] eval-auc:0.692069 train-auc:1
[319] eval-auc:0.691685 train-auc:1
[320] eval-auc:0.691697 train-auc:1
[321] eval-auc:0.691857 train-auc:1
[322] eval-auc:0.691892 train-auc:1
[323] eval-auc:0.691801 train-auc:1
[324] eval-auc:0.691824 train-auc:1
[325] eval-auc:0.691774 train-auc:1
[326] eval-auc:0.691714 train-auc:1
[327] eval-auc:0.691888 train-auc:1
[328] eval-auc:0.691618 train-auc:1
[329] eval-auc:0.691515 train-auc:1
[330] eval-auc:0.691426 train-auc:1
[331] eval-auc:0.691285 train-auc:1
[332] eval-auc:0.691174 train-auc:1
[333] eval-auc:0.691186 train-auc:1
[334] eval-auc:0.691306 train-auc:1
[335] eval-auc:0.691327 train-auc:1
[336] eval-auc:0.691694 train-auc:1
[337] eval-auc:0.691711 train-auc:1
[338] eval-auc:0.691452 train-auc:1
[339] eval-auc:0.691579 train-auc:1
[340] eval-auc:0.69157 train-auc:1
[341] eval-auc:0.691624 train-auc:1
[342] eval-auc:0.691889 train-auc:1
[343] eval-auc:0.692185 train-auc:1
[344] eval-auc:0.691865 train-auc:1
Score 0.6918649270913277
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.75, 'eta': 0.125, 'eval_metric': 'auc', 'gamma': 0.5, 'max_depth': 9, 'min_child_weight': 1.0, 'n_estimators': 379.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.693857 train-auc:0.850184
[1] eval-auc:0.636197 train-auc:0.903339
[2] eval-auc:0.679645 train-auc:0.926976
[3] eval-auc:0.660778 train-auc:0.943889
[4] eval-auc:0.65718 train-auc:0.950255
[5] eval-auc:0.650173 train-auc:0.961366
[6] eval-auc:0.661145 train-auc:0.97305
[7] eval-auc:0.672002 train-auc:0.979198
[8] eval-auc:0.678506 train-auc:0.983495
[9] eval-auc:0.684806 train-auc:0.986444
[10] eval-auc:0.687005 train-auc:0.989777
[11] eval-auc:0.688232 train-auc:0.991399
[12] eval-auc:0.687588 train-auc:0.992869
[13] eval-auc:0.687321 train-auc:0.993458
[14] eval-auc:0.690067 train-auc:0.993701
[15] eval-auc:0.689127 train-auc:0.994612
[16] eval-auc:0.691387 train-auc:0.994978
[17] eval-auc:0.691836 train-auc:0.995546
[18] eval-auc:0.692142 train-auc:0.995995
[19] eval-auc:0.691215 train-auc:0.996078
[20] eval-auc:0.692705 train-auc:0.99636
[21] eval-auc:0.693505 train-auc:0.996415
[22] eval-auc:0.693797 train-auc:0.99657
[23] eval-auc:0.69432 train-auc:0.997093
[24] eval-auc:0.698758 train-auc:0.997365
[25] eval-auc:0.698186 train-auc:0.998038
[26] eval-auc:0.699323 train-auc:0.998075
[27] eval-auc:0.698029 train-auc:0.998459
[28] eval-auc:0.698891 train-auc:0.998537
[29] eval-auc:0.699113 train-auc:0.998856
[30] eval-auc:0.69767 train-auc:0.999013
[31] eval-auc:0.697729 train-auc:0.999016
[32] eval-auc:0.697446 train-auc:0.999097
[33] eval-auc:0.697994 train-auc:0.999147
[34] eval-auc:0.696879 train-auc:0.999338
[35] eval-auc:0.697181 train-auc:0.999376
[36] eval-auc:0.695152 train-auc:0.999425
[37] eval-auc:0.695812 train-auc:0.999402
[38] eval-auc:0.696214 train-auc:0.999405
[39] eval-auc:0.694141 train-auc:0.999461
[40] eval-auc:0.694478 train-auc:0.999461
[41] eval-auc:0.696721 train-auc:0.999568
[42] eval-auc:0.697205 train-auc:0.999607
[43] eval-auc:0.697428 train-auc:0.999654
[44] eval-auc:0.697272 train-auc:0.999652
[45] eval-auc:0.697159 train-auc:0.999671
[46] eval-auc:0.697162 train-auc:0.999695
[47] eval-auc:0.69737 train-auc:0.99969
[48] eval-auc:0.697607 train-auc:0.999714
[49] eval-auc:0.6984 train-auc:0.999722
[50] eval-auc:0.698183 train-auc:0.999803
[51] eval-auc:0.697922 train-auc:0.999835
[52] eval-auc:0.69761 train-auc:0.999836
[53] eval-auc:0.698553 train-auc:0.999888
[54] eval-auc:0.698539 train-auc:0.999882
[55] eval-auc:0.699022 train-auc:0.999881
[56] eval-auc:0.698915 train-auc:0.999915
[57] eval-auc:0.698895 train-auc:0.999915
[58] eval-auc:0.698748 train-auc:0.999939
[59] eval-auc:0.698245 train-auc:0.999941
[60] eval-auc:0.698067 train-auc:0.999952
[61] eval-auc:0.697367 train-auc:0.999956
[62] eval-auc:0.697552 train-auc:0.999955
[63] eval-auc:0.697318 train-auc:0.999969
[64] eval-auc:0.696867 train-auc:0.999971
[65] eval-auc:0.697636 train-auc:0.999974
[66] eval-auc:0.696875 train-auc:0.999975
[67] eval-auc:0.696885 train-auc:0.999975
[68] eval-auc:0.696386 train-auc:0.999978
[69] eval-auc:0.69669 train-auc:0.999982
[70] eval-auc:0.695707 train-auc:0.999982
[71] eval-auc:0.695702 train-auc:0.999982
[72] eval-auc:0.695824 train-auc:0.999983
[73] eval-auc:0.696151 train-auc:0.999984
[74] eval-auc:0.696203 train-auc:0.999984
[75] eval-auc:0.695463 train-auc:0.999991
[76] eval-auc:0.694863 train-auc:0.999991
[77] eval-auc:0.695168 train-auc:0.999992
[78] eval-auc:0.694458 train-auc:0.999992
[79] eval-auc:0.694201 train-auc:0.999992
[80] eval-auc:0.693621 train-auc:0.999992
[81] eval-auc:0.693721 train-auc:0.999991
[82] eval-auc:0.694813 train-auc:0.999996
[83] eval-auc:0.6943 train-auc:0.999997
[84] eval-auc:0.694367 train-auc:0.999998
[85] eval-auc:0.694014 train-auc:0.999998
[86] eval-auc:0.692754 train-auc:0.999999
[87] eval-auc:0.692826 train-auc:0.999999
[88] eval-auc:0.693082 train-auc:0.999999
[89] eval-auc:0.693312 train-auc:0.999999
[90] eval-auc:0.692923 train-auc:0.999999
[91] eval-auc:0.692648 train-auc:0.999999
[92] eval-auc:0.692739 train-auc:0.999999
[93] eval-auc:0.692686 train-auc:0.999999
[94] eval-auc:0.69298 train-auc:0.999999
[95] eval-auc:0.69338 train-auc:0.999999
[96] eval-auc:0.693141 train-auc:1
[97] eval-auc:0.692523 train-auc:1
[98] eval-auc:0.692119 train-auc:1
[99] eval-auc:0.691949 train-auc:1
[100] eval-auc:0.6916 train-auc:1
[101] eval-auc:0.691866 train-auc:1
[102] eval-auc:0.692529 train-auc:1
[103] eval-auc:0.692593 train-auc:1
[104] eval-auc:0.692613 train-auc:1
[105] eval-auc:0.692734 train-auc:1
[106] eval-auc:0.692163 train-auc:1
[107] eval-auc:0.692357 train-auc:1
[108] eval-auc:0.693991 train-auc:1
[109] eval-auc:0.693732 train-auc:1
[110] eval-auc:0.693712 train-auc:1
[111] eval-auc:0.694365 train-auc:1
[112] eval-auc:0.693977 train-auc:1
[113] eval-auc:0.693503 train-auc:1
[114] eval-auc:0.69377 train-auc:1
[115] eval-auc:0.694006 train-auc:1
[116] eval-auc:0.694204 train-auc:1
[117] eval-auc:0.694808 train-auc:1
[118] eval-auc:0.694942 train-auc:1
[119] eval-auc:0.695127 train-auc:1
[120] eval-auc:0.695445 train-auc:1
[121] eval-auc:0.695529 train-auc:1
[122] eval-auc:0.695352 train-auc:1
[123] eval-auc:0.695335 train-auc:1
[124] eval-auc:0.695707 train-auc:1
[125] eval-auc:0.69572 train-auc:1
[126] eval-auc:0.695188 train-auc:1
[127] eval-auc:0.694525 train-auc:1
[128] eval-auc:0.694001 train-auc:1
[129] eval-auc:0.69349 train-auc:1
[130] eval-auc:0.693573 train-auc:1
[131] eval-auc:0.693229 train-auc:1
[132] eval-auc:0.693273 train-auc:1
[133] eval-auc:0.693217 train-auc:1
[134] eval-auc:0.693266 train-auc:1
[135] eval-auc:0.693002 train-auc:1
[136] eval-auc:0.693978 train-auc:1
[137] eval-auc:0.694074 train-auc:1
[138] eval-auc:0.693893 train-auc:1
[139] eval-auc:0.694033 train-auc:1
[140] eval-auc:0.694262 train-auc:1
[141] eval-auc:0.69387 train-auc:1
[142] eval-auc:0.694679 train-auc:1
[143] eval-auc:0.694324 train-auc:1
[144] eval-auc:0.694216 train-auc:1
[145] eval-auc:0.693883 train-auc:1
[146] eval-auc:0.693919 train-auc:1
[147] eval-auc:0.694099 train-auc:1
[148] eval-auc:0.694119 train-auc:1
[149] eval-auc:0.693983 train-auc:1
[150] eval-auc:0.693835 train-auc:1
[151] eval-auc:0.693453 train-auc:1
[152] eval-auc:0.69384 train-auc:1
[153] eval-auc:0.693682 train-auc:1
[154] eval-auc:0.693183 train-auc:1
[155] eval-auc:0.69303 train-auc:1
[156] eval-auc:0.692769 train-auc:1
[157] eval-auc:0.692611 train-auc:1
[158] eval-auc:0.692836 train-auc:1
[159] eval-auc:0.693012 train-auc:1
[160] eval-auc:0.692903 train-auc:1
[161] eval-auc:0.693039 train-auc:1
[162] eval-auc:0.692908 train-auc:1
[163] eval-auc:0.692766 train-auc:1
[164] eval-auc:0.692384 train-auc:1
[165] eval-auc:0.691911 train-auc:1
[166] eval-auc:0.69206 train-auc:1
[167] eval-auc:0.692244 train-auc:1
[168] eval-auc:0.692917 train-auc:1
[169] eval-auc:0.692884 train-auc:1
[170] eval-auc:0.692412 train-auc:1
[171] eval-auc:0.692247 train-auc:1
[172] eval-auc:0.692422 train-auc:1
[173] eval-auc:0.692179 train-auc:1
[174] eval-auc:0.692495 train-auc:1
[175] eval-auc:0.692303 train-auc:1
[176] eval-auc:0.692486 train-auc:1
[177] eval-auc:0.692745 train-auc:1
[178] eval-auc:0.692747 train-auc:1
[179] eval-auc:0.69259 train-auc:1
[180] eval-auc:0.692648 train-auc:1
[181] eval-auc:0.692501 train-auc:1
[182] eval-auc:0.69275 train-auc:1
[183] eval-auc:0.692908 train-auc:1
[184] eval-auc:0.692879 train-auc:1
[185] eval-auc:0.692932 train-auc:1
[186] eval-auc:0.693272 train-auc:1
[187] eval-auc:0.693168 train-auc:1
[188] eval-auc:0.692829 train-auc:1
[189] eval-auc:0.693019 train-auc:1
[190] eval-auc:0.692788 train-auc:1
[191] eval-auc:0.692535 train-auc:1
[192] eval-auc:0.69304 train-auc:1
[193] eval-auc:0.692745 train-auc:1
[194] eval-auc:0.692695 train-auc:1
[195] eval-auc:0.69239 train-auc:1
[196] eval-auc:0.691994 train-auc:1
[197] eval-auc:0.691936 train-auc:1
[198] eval-auc:0.692077 train-auc:1
[199] eval-auc:0.691932 train-auc:1
[200] eval-auc:0.6916 train-auc:1
[201] eval-auc:0.691694 train-auc:1
[202] eval-auc:0.691388 train-auc:1
[203] eval-auc:0.691222 train-auc:1
[204] eval-auc:0.691125 train-auc:1
[205] eval-auc:0.691079 train-auc:1
[206] eval-auc:0.691096 train-auc:1
[207] eval-auc:0.691096 train-auc:1
[208] eval-auc:0.690995 train-auc:1
[209] eval-auc:0.690947 train-auc:1
[210] eval-auc:0.691263 train-auc:1
[211] eval-auc:0.691099 train-auc:1
[212] eval-auc:0.690473 train-auc:1
[213] eval-auc:0.690473 train-auc:1
[214] eval-auc:0.690534 train-auc:1
[215] eval-auc:0.690534 train-auc:1
[216] eval-auc:0.690444 train-auc:1
[217] eval-auc:0.690444 train-auc:1
[218] eval-auc:0.689803 train-auc:1
[219] eval-auc:0.689803 train-auc:1
[220] eval-auc:0.689803 train-auc:1
[221] eval-auc:0.689803 train-auc:1
[222] eval-auc:0.689925 train-auc:1
[223] eval-auc:0.689369 train-auc:1
[224] eval-auc:0.689863 train-auc:1
[225] eval-auc:0.689631 train-auc:1
[226] eval-auc:0.68939 train-auc:1
[227] eval-auc:0.689077 train-auc:1
[228] eval-auc:0.688944 train-auc:1
[229] eval-auc:0.688961 train-auc:1
[230] eval-auc:0.689078 train-auc:1
[231] eval-auc:0.689157 train-auc:1
[232] eval-auc:0.689276 train-auc:1
[233] eval-auc:0.689322 train-auc:1
[234] eval-auc:0.689014 train-auc:1
[235] eval-auc:0.689037 train-auc:1
[236] eval-auc:0.689144 train-auc:1
[237] eval-auc:0.689122 train-auc:1
[238] eval-auc:0.688941 train-auc:1
[239] eval-auc:0.688981 train-auc:1
[240] eval-auc:0.688783 train-auc:1
[241] eval-auc:0.688783 train-auc:1
[242] eval-auc:0.688771 train-auc:1
[243] eval-auc:0.688728 train-auc:1
[244] eval-auc:0.688786 train-auc:1
[245] eval-auc:0.688309 train-auc:1
[246] eval-auc:0.688194 train-auc:1
[247] eval-auc:0.689208 train-auc:1
[248] eval-auc:0.689578 train-auc:1
[249] eval-auc:0.689738 train-auc:1
[250] eval-auc:0.689512 train-auc:1
[251] eval-auc:0.689512 train-auc:1
[252] eval-auc:0.68915 train-auc:1
[253] eval-auc:0.688918 train-auc:1
[254] eval-auc:0.688777 train-auc:1
[255] eval-auc:0.689017 train-auc:1
[256] eval-auc:0.689144 train-auc:1
[257] eval-auc:0.689229 train-auc:1
[258] eval-auc:0.689228 train-auc:1
[259] eval-auc:0.689351 train-auc:1
[260] eval-auc:0.68915 train-auc:1
[261] eval-auc:0.689193 train-auc:1
[262] eval-auc:0.689186 train-auc:1
[263] eval-auc:0.689186 train-auc:1
[264] eval-auc:0.689141 train-auc:1
[265] eval-auc:0.68918 train-auc:1
[266] eval-auc:0.688769 train-auc:1
[267] eval-auc:0.688757 train-auc:1
[268] eval-auc:0.688661 train-auc:1
[269] eval-auc:0.688695 train-auc:1
[270] eval-auc:0.688731 train-auc:1
[271] eval-auc:0.688731 train-auc:1
[272] eval-auc:0.688731 train-auc:1
[273] eval-auc:0.688731 train-auc:1
[274] eval-auc:0.688673 train-auc:1
[275] eval-auc:0.688673 train-auc:1
[276] eval-auc:0.688827 train-auc:1
[277] eval-auc:0.688498 train-auc:1
[278] eval-auc:0.688564 train-auc:1
[279] eval-auc:0.688481 train-auc:1
[280] eval-auc:0.688318 train-auc:1
[281] eval-auc:0.688385 train-auc:1
[282] eval-auc:0.688798 train-auc:1
[283] eval-auc:0.688842 train-auc:1
[284] eval-auc:0.68931 train-auc:1
[285] eval-auc:0.689132 train-auc:1
[286] eval-auc:0.688914 train-auc:1
[287] eval-auc:0.688914 train-auc:1
[288] eval-auc:0.688786 train-auc:1
[289] eval-auc:0.689039 train-auc:1
[290] eval-auc:0.689039 train-auc:1
[291] eval-auc:0.689039 train-auc:1
[292] eval-auc:0.689066 train-auc:1
[293] eval-auc:0.689066 train-auc:1
[294] eval-auc:0.689066 train-auc:1
[295] eval-auc:0.689066 train-auc:1
[296] eval-auc:0.689066 train-auc:1
[297] eval-auc:0.689066 train-auc:1
[298] eval-auc:0.689366 train-auc:1
[299] eval-auc:0.689366 train-auc:1
[300] eval-auc:0.689814 train-auc:1
[301] eval-auc:0.689672 train-auc:1
[302] eval-auc:0.689672 train-auc:1
[303] eval-auc:0.689741 train-auc:1
[304] eval-auc:0.689645 train-auc:1
[305] eval-auc:0.689645 train-auc:1
[306] eval-auc:0.689742 train-auc:1
[307] eval-auc:0.690193 train-auc:1
[308] eval-auc:0.690304 train-auc:1
[309] eval-auc:0.690304 train-auc:1
[310] eval-auc:0.690304 train-auc:1
[311] eval-auc:0.690362 train-auc:1
[312] eval-auc:0.690362 train-auc:1
[313] eval-auc:0.690362 train-auc:1
[314] eval-auc:0.690362 train-auc:1
[315] eval-auc:0.690362 train-auc:1
[316] eval-auc:0.690362 train-auc:1
[317] eval-auc:0.690421 train-auc:1
[318] eval-auc:0.690421 train-auc:1
[319] eval-auc:0.690421 train-auc:1
[320] eval-auc:0.690421 train-auc:1
[321] eval-auc:0.690421 train-auc:1
[322] eval-auc:0.690421 train-auc:1
[323] eval-auc:0.690421 train-auc:1
[324] eval-auc:0.690421 train-auc:1
[325] eval-auc:0.690435 train-auc:1
[326] eval-auc:0.690435 train-auc:1
[327] eval-auc:0.690318 train-auc:1
[328] eval-auc:0.690246 train-auc:1
[329] eval-auc:0.690327 train-auc:1
[330] eval-auc:0.690455 train-auc:1
[331] eval-auc:0.690659 train-auc:1
[332] eval-auc:0.690689 train-auc:1
[333] eval-auc:0.690689 train-auc:1
[334] eval-auc:0.690677 train-auc:1
[335] eval-auc:0.690677 train-auc:1
[336] eval-auc:0.690657 train-auc:1
[337] eval-auc:0.690884 train-auc:1
[338] eval-auc:0.690775 train-auc:1
[339] eval-auc:0.690622 train-auc:1
[340] eval-auc:0.690606 train-auc:1
[341] eval-auc:0.691003 train-auc:1
[342] eval-auc:0.691003 train-auc:1
[343] eval-auc:0.69097 train-auc:1
[344] eval-auc:0.69097 train-auc:1
[345] eval-auc:0.69097 train-auc:1
[346] eval-auc:0.690924 train-auc:1
[347] eval-auc:0.690924 train-auc:1
[348] eval-auc:0.690924 train-auc:1
[349] eval-auc:0.690924 train-auc:1
[350] eval-auc:0.690804 train-auc:1
[351] eval-auc:0.690804 train-auc:1
[352] eval-auc:0.690804 train-auc:1
[353] eval-auc:0.690889 train-auc:1
[354] eval-auc:0.690889 train-auc:1
[355] eval-auc:0.690889 train-auc:1
[356] eval-auc:0.690889 train-auc:1
[357] eval-auc:0.690889 train-auc:1
[358] eval-auc:0.690878 train-auc:1
[359] eval-auc:0.69093 train-auc:1
[360] eval-auc:0.690825 train-auc:1
[361] eval-auc:0.690825 train-auc:1
[362] eval-auc:0.690825 train-auc:1
[363] eval-auc:0.690825 train-auc:1
[364] eval-auc:0.690825 train-auc:1
[365] eval-auc:0.690959 train-auc:1
[366] eval-auc:0.690699 train-auc:1
[367] eval-auc:0.690651 train-auc:1
[368] eval-auc:0.690651 train-auc:1
[369] eval-auc:0.690726 train-auc:1
[370] eval-auc:0.690586 train-auc:1
[371] eval-auc:0.690377 train-auc:1
[372] eval-auc:0.690246 train-auc:1
[373] eval-auc:0.690246 train-auc:1
[374] eval-auc:0.690246 train-auc:1
[375] eval-auc:0.690161 train-auc:1
[376] eval-auc:0.690161 train-auc:1
[377] eval-auc:0.690161 train-auc:1
[378] eval-auc:0.690161 train-auc:1
Score 0.6901609838102548
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9, 'eta': 0.17500000000000002, 'eval_metric': 'auc', 'gamma': 0.65, 'max_depth': 7, 'min_child_weight': 2.0, 'n_estimators': 635.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9, 'tree_method': 'exact'}
[0] eval-auc:0.699797 train-auc:0.785262
[1] eval-auc:0.676916 train-auc:0.820683
[2] eval-auc:0.689524 train-auc:0.851803
[3] eval-auc:0.697702 train-auc:0.874094
[4] eval-auc:0.697404 train-auc:0.882153
[5] eval-auc:0.69602 train-auc:0.901675
[6] eval-auc:0.693944 train-auc:0.913153
[7] eval-auc:0.691184 train-auc:0.920032
[8] eval-auc:0.690944 train-auc:0.928584
[9] eval-auc:0.691295 train-auc:0.933908
[10] eval-auc:0.688918 train-auc:0.940052
[11] eval-auc:0.691405 train-auc:0.946616
[12] eval-auc:0.692123 train-auc:0.953684
[13] eval-auc:0.693058 train-auc:0.956623
[14] eval-auc:0.689777 train-auc:0.961543
[15] eval-auc:0.68992 train-auc:0.962706
[16] eval-auc:0.691908 train-auc:0.964744
[17] eval-auc:0.690828 train-auc:0.966942
[18] eval-auc:0.692014 train-auc:0.968481
[19] eval-auc:0.691667 train-auc:0.970905
[20] eval-auc:0.693669 train-auc:0.972925
[21] eval-auc:0.695454 train-auc:0.974487
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[436] eval-auc:0.693406 train-auc:1
[437] eval-auc:0.693406 train-auc:1
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[439] eval-auc:0.692826 train-auc:1
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[445] eval-auc:0.693012 train-auc:1
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[447] eval-auc:0.693051 train-auc:1
[448] eval-auc:0.693005 train-auc:1
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[450] eval-auc:0.694301 train-auc:1
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[460] eval-auc:0.694237 train-auc:1
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[463] eval-auc:0.69428 train-auc:1
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[465] eval-auc:0.694164 train-auc:1
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[467] eval-auc:0.694138 train-auc:1
[468] eval-auc:0.693989 train-auc:1
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[471] eval-auc:0.6937 train-auc:1
[472] eval-auc:0.693503 train-auc:1
[473] eval-auc:0.693455 train-auc:1
[474] eval-auc:0.693592 train-auc:1
[475] eval-auc:0.693592 train-auc:1
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[480] eval-auc:0.69326 train-auc:1
[481] eval-auc:0.69326 train-auc:1
[482] eval-auc:0.693395 train-auc:1
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[484] eval-auc:0.693104 train-auc:1
[485] eval-auc:0.693104 train-auc:1
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[501] eval-auc:0.693126 train-auc:1
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[504] eval-auc:0.692635 train-auc:1
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[507] eval-auc:0.692122 train-auc:1
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[509] eval-auc:0.692055 train-auc:1
[510] eval-auc:0.692229 train-auc:1
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[512] eval-auc:0.692119 train-auc:1
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[516] eval-auc:0.692173 train-auc:1
[517] eval-auc:0.692236 train-auc:1
[518] eval-auc:0.692236 train-auc:1
[519] eval-auc:0.692236 train-auc:1
[520] eval-auc:0.692236 train-auc:1
[521] eval-auc:0.692236 train-auc:1
[522] eval-auc:0.692236 train-auc:1
[523] eval-auc:0.692185 train-auc:1
[524] eval-auc:0.692223 train-auc:1
[525] eval-auc:0.692226 train-auc:1
[526] eval-auc:0.692471 train-auc:1
[527] eval-auc:0.692536 train-auc:1
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[529] eval-auc:0.692751 train-auc:1
[530] eval-auc:0.692908 train-auc:1
[531] eval-auc:0.69274 train-auc:1
[532] eval-auc:0.692549 train-auc:1
[533] eval-auc:0.692549 train-auc:1
[534] eval-auc:0.692511 train-auc:1
[535] eval-auc:0.692634 train-auc:1
[536] eval-auc:0.692634 train-auc:1
[537] eval-auc:0.692629 train-auc:1
[538] eval-auc:0.692629 train-auc:1
[539] eval-auc:0.692629 train-auc:1
[540] eval-auc:0.692547 train-auc:1
[541] eval-auc:0.692547 train-auc:1
[542] eval-auc:0.692547 train-auc:1
[543] eval-auc:0.692392 train-auc:1
[544] eval-auc:0.692392 train-auc:1
[545] eval-auc:0.692392 train-auc:1
[546] eval-auc:0.692392 train-auc:1
[547] eval-auc:0.692392 train-auc:1
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[550] eval-auc:0.69238 train-auc:1
[551] eval-auc:0.692593 train-auc:1
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[555] eval-auc:0.692447 train-auc:1
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[557] eval-auc:0.692418 train-auc:1
[558] eval-auc:0.692614 train-auc:1
[559] eval-auc:0.692588 train-auc:1
[560] eval-auc:0.692588 train-auc:1
[561] eval-auc:0.692588 train-auc:1
[562] eval-auc:0.692492 train-auc:1
[563] eval-auc:0.692109 train-auc:1
[564] eval-auc:0.692109 train-auc:1
[565] eval-auc:0.692109 train-auc:1
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[567] eval-auc:0.691885 train-auc:1
[568] eval-auc:0.691885 train-auc:1
[569] eval-auc:0.692127 train-auc:1
[570] eval-auc:0.692127 train-auc:1
[571] eval-auc:0.692127 train-auc:1
[572] eval-auc:0.692011 train-auc:1
[573] eval-auc:0.692011 train-auc:1
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[575] eval-auc:0.692011 train-auc:1
[576] eval-auc:0.692173 train-auc:1
[577] eval-auc:0.692173 train-auc:1
[578] eval-auc:0.692236 train-auc:1
[579] eval-auc:0.69206 train-auc:1
[580] eval-auc:0.691857 train-auc:1
[581] eval-auc:0.691857 train-auc:1
[582] eval-auc:0.691857 train-auc:1
[583] eval-auc:0.691857 train-auc:1
[584] eval-auc:0.691973 train-auc:1
[585] eval-auc:0.691888 train-auc:1
[586] eval-auc:0.691888 train-auc:1
[587] eval-auc:0.691888 train-auc:1
[588] eval-auc:0.691888 train-auc:1
[589] eval-auc:0.691888 train-auc:1
[590] eval-auc:0.692069 train-auc:1
[591] eval-auc:0.692069 train-auc:1
[592] eval-auc:0.692069 train-auc:1
[593] eval-auc:0.691911 train-auc:1
[594] eval-auc:0.691976 train-auc:1
[595] eval-auc:0.691976 train-auc:1
[596] eval-auc:0.691976 train-auc:1
[597] eval-auc:0.69201 train-auc:1
[598] eval-auc:0.69201 train-auc:1
[599] eval-auc:0.69201 train-auc:1
[600] eval-auc:0.691979 train-auc:1
[601] eval-auc:0.691979 train-auc:1
[602] eval-auc:0.693481 train-auc:1
[603] eval-auc:0.693481 train-auc:1
[604] eval-auc:0.693481 train-auc:1
[605] eval-auc:0.693481 train-auc:1
[606] eval-auc:0.693481 train-auc:1
[607] eval-auc:0.693371 train-auc:1
[608] eval-auc:0.693344 train-auc:1
[609] eval-auc:0.693149 train-auc:1
[610] eval-auc:0.693149 train-auc:1
[611] eval-auc:0.693149 train-auc:1
[612] eval-auc:0.693149 train-auc:1
[613] eval-auc:0.693149 train-auc:1
[614] eval-auc:0.693149 train-auc:1
[615] eval-auc:0.693149 train-auc:1
[616] eval-auc:0.693149 train-auc:1
[617] eval-auc:0.693161 train-auc:1
[618] eval-auc:0.693133 train-auc:1
[619] eval-auc:0.69327 train-auc:1
[620] eval-auc:0.69327 train-auc:1
[621] eval-auc:0.69327 train-auc:1
[622] eval-auc:0.693225 train-auc:1
[623] eval-auc:0.693225 train-auc:1
[624] eval-auc:0.693225 train-auc:1
[625] eval-auc:0.693071 train-auc:1
[626] eval-auc:0.693407 train-auc:1
[627] eval-auc:0.693277 train-auc:1
[628] eval-auc:0.693208 train-auc:1
[629] eval-auc:0.693048 train-auc:1
[630] eval-auc:0.693048 train-auc:1
[631] eval-auc:0.693048 train-auc:1
[632] eval-auc:0.693048 train-auc:1
[633] eval-auc:0.693089 train-auc:1
[634] eval-auc:0.693089 train-auc:1
Score 0.6930892080546723
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8500000000000001, 'eta': 0.05, 'eval_metric': 'auc', 'gamma': 0.55, 'max_depth': 3, 'min_child_weight': 1.0, 'n_estimators': 321.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9, 'tree_method': 'exact'}
[0] eval-auc:0.709213 train-auc:0.719387
[1] eval-auc:0.694776 train-auc:0.727936
[2] eval-auc:0.698884 train-auc:0.729071
[3] eval-auc:0.698281 train-auc:0.732545
[4] eval-auc:0.701269 train-auc:0.734383
[5] eval-auc:0.692622 train-auc:0.740709
[6] eval-auc:0.690651 train-auc:0.740716
[7] eval-auc:0.691983 train-auc:0.742816
[8] eval-auc:0.6947 train-auc:0.743738
[9] eval-auc:0.700091 train-auc:0.741069
[10] eval-auc:0.700034 train-auc:0.741803
[11] eval-auc:0.700682 train-auc:0.748541
[12] eval-auc:0.699536 train-auc:0.744646
[13] eval-auc:0.701801 train-auc:0.745224
[14] eval-auc:0.701344 train-auc:0.743994
[15] eval-auc:0.700732 train-auc:0.746238
[16] eval-auc:0.699667 train-auc:0.748369
[17] eval-auc:0.69873 train-auc:0.749924
[18] eval-auc:0.697896 train-auc:0.752576
[19] eval-auc:0.698008 train-auc:0.752594
[20] eval-auc:0.698566 train-auc:0.750265
[21] eval-auc:0.698135 train-auc:0.753051
[22] eval-auc:0.699485 train-auc:0.754136
[23] eval-auc:0.699826 train-auc:0.755871
[24] eval-auc:0.70069 train-auc:0.757737
[25] eval-auc:0.700529 train-auc:0.759525
[26] eval-auc:0.699028 train-auc:0.760838
[27] eval-auc:0.699556 train-auc:0.762679
[28] eval-auc:0.699533 train-auc:0.761058
[29] eval-auc:0.699854 train-auc:0.761825
[30] eval-auc:0.699572 train-auc:0.763282
[31] eval-auc:0.700117 train-auc:0.764486
[32] eval-auc:0.701691 train-auc:0.766252
[33] eval-auc:0.701151 train-auc:0.766633
[34] eval-auc:0.701135 train-auc:0.768968
[35] eval-auc:0.70199 train-auc:0.769395
[36] eval-auc:0.701831 train-auc:0.771032
[37] eval-auc:0.701729 train-auc:0.770791
[38] eval-auc:0.702465 train-auc:0.77059
[39] eval-auc:0.70229 train-auc:0.770942
[40] eval-auc:0.701505 train-auc:0.771855
[41] eval-auc:0.701379 train-auc:0.771692
[42] eval-auc:0.702181 train-auc:0.772041
[43] eval-auc:0.702845 train-auc:0.77334
[44] eval-auc:0.703006 train-auc:0.773703
[45] eval-auc:0.702936 train-auc:0.774574
[46] eval-auc:0.703407 train-auc:0.774916
[47] eval-auc:0.703244 train-auc:0.776496
[48] eval-auc:0.703668 train-auc:0.778045
[49] eval-auc:0.703678 train-auc:0.77967
[50] eval-auc:0.703914 train-auc:0.780259
[51] eval-auc:0.702908 train-auc:0.781558
[52] eval-auc:0.703918 train-auc:0.782355
[53] eval-auc:0.704438 train-auc:0.782902
[54] eval-auc:0.704143 train-auc:0.783652
[55] eval-auc:0.704397 train-auc:0.784414
[56] eval-auc:0.704235 train-auc:0.785199
[57] eval-auc:0.704334 train-auc:0.784439
[58] eval-auc:0.704387 train-auc:0.785499
[59] eval-auc:0.703844 train-auc:0.786853
[60] eval-auc:0.704308 train-auc:0.787244
[61] eval-auc:0.704326 train-auc:0.78742
[62] eval-auc:0.704857 train-auc:0.787951
[63] eval-auc:0.704111 train-auc:0.789661
[64] eval-auc:0.704003 train-auc:0.78988
[65] eval-auc:0.704171 train-auc:0.789822
[66] eval-auc:0.70445 train-auc:0.79173
[67] eval-auc:0.704621 train-auc:0.79178
[68] eval-auc:0.704587 train-auc:0.792204
[69] eval-auc:0.704056 train-auc:0.793563
[70] eval-auc:0.704114 train-auc:0.795116
[71] eval-auc:0.704019 train-auc:0.795179
[72] eval-auc:0.704691 train-auc:0.795756
[73] eval-auc:0.705061 train-auc:0.796337
[74] eval-auc:0.70512 train-auc:0.796606
[75] eval-auc:0.705257 train-auc:0.797466
[76] eval-auc:0.705516 train-auc:0.797792
[77] eval-auc:0.704555 train-auc:0.798832
[78] eval-auc:0.704299 train-auc:0.798422
[79] eval-auc:0.705226 train-auc:0.799007
[80] eval-auc:0.705321 train-auc:0.800618
[81] eval-auc:0.705457 train-auc:0.800567
[82] eval-auc:0.705457 train-auc:0.802057
[83] eval-auc:0.705874 train-auc:0.801273
[84] eval-auc:0.706386 train-auc:0.803036
[85] eval-auc:0.706372 train-auc:0.803265
[86] eval-auc:0.706352 train-auc:0.804192
[87] eval-auc:0.706369 train-auc:0.804349
[88] eval-auc:0.706777 train-auc:0.805676
[89] eval-auc:0.706101 train-auc:0.805976
[90] eval-auc:0.705929 train-auc:0.806153
[91] eval-auc:0.706177 train-auc:0.806215
[92] eval-auc:0.705513 train-auc:0.807438
[93] eval-auc:0.705571 train-auc:0.808085
[94] eval-auc:0.705614 train-auc:0.809401
[95] eval-auc:0.705688 train-auc:0.80972
[96] eval-auc:0.706121 train-auc:0.810503
[97] eval-auc:0.706281 train-auc:0.811177
[98] eval-auc:0.705941 train-auc:0.811867
[99] eval-auc:0.706584 train-auc:0.812878
[100] eval-auc:0.706824 train-auc:0.812732
[101] eval-auc:0.707525 train-auc:0.813397
[102] eval-auc:0.707229 train-auc:0.813652
[103] eval-auc:0.707325 train-auc:0.814403
[104] eval-auc:0.707382 train-auc:0.815663
[105] eval-auc:0.707361 train-auc:0.816496
[106] eval-auc:0.70739 train-auc:0.816792
[107] eval-auc:0.707481 train-auc:0.817161
[108] eval-auc:0.707639 train-auc:0.817209
[109] eval-auc:0.707423 train-auc:0.817864
[110] eval-auc:0.707587 train-auc:0.817717
[111] eval-auc:0.70775 train-auc:0.818538
[112] eval-auc:0.707474 train-auc:0.818948
[113] eval-auc:0.706824 train-auc:0.81978
[114] eval-auc:0.706156 train-auc:0.820229
[115] eval-auc:0.706057 train-auc:0.820853
[116] eval-auc:0.705929 train-auc:0.820976
[117] eval-auc:0.70588 train-auc:0.822247
[118] eval-auc:0.705602 train-auc:0.822717
[119] eval-auc:0.705662 train-auc:0.823863
[120] eval-auc:0.705081 train-auc:0.824934
[121] eval-auc:0.705123 train-auc:0.82527
[122] eval-auc:0.70507 train-auc:0.826329
[123] eval-auc:0.705856 train-auc:0.827235
[124] eval-auc:0.70546 train-auc:0.827894
[125] eval-auc:0.705224 train-auc:0.828664
[126] eval-auc:0.706066 train-auc:0.829724
[127] eval-auc:0.705828 train-auc:0.830475
[128] eval-auc:0.706718 train-auc:0.831952
[129] eval-auc:0.706567 train-auc:0.832057
[130] eval-auc:0.707145 train-auc:0.832822
[131] eval-auc:0.70735 train-auc:0.832901
[132] eval-auc:0.7071 train-auc:0.833381
[133] eval-auc:0.707305 train-auc:0.834452
[134] eval-auc:0.706748 train-auc:0.834796
[135] eval-auc:0.706412 train-auc:0.835377
[136] eval-auc:0.706393 train-auc:0.835498
[137] eval-auc:0.707068 train-auc:0.836755
[138] eval-auc:0.706826 train-auc:0.83735
[139] eval-auc:0.706989 train-auc:0.837849
[140] eval-auc:0.706159 train-auc:0.838459
[141] eval-auc:0.706171 train-auc:0.838737
[142] eval-auc:0.706576 train-auc:0.839496
[143] eval-auc:0.706485 train-auc:0.839569
[144] eval-auc:0.706201 train-auc:0.840419
[145] eval-auc:0.706678 train-auc:0.841223
[146] eval-auc:0.706119 train-auc:0.841964
[147] eval-auc:0.706134 train-auc:0.842134
[148] eval-auc:0.70588 train-auc:0.842508
[149] eval-auc:0.705535 train-auc:0.843155
[150] eval-auc:0.705134 train-auc:0.84357
[151] eval-auc:0.705178 train-auc:0.844657
[152] eval-auc:0.704717 train-auc:0.844598
[153] eval-auc:0.705446 train-auc:0.844799
[154] eval-auc:0.705621 train-auc:0.84543
[155] eval-auc:0.706197 train-auc:0.846428
[156] eval-auc:0.706437 train-auc:0.847154
[157] eval-auc:0.706052 train-auc:0.847554
[158] eval-auc:0.706035 train-auc:0.848179
[159] eval-auc:0.70595 train-auc:0.848515
[160] eval-auc:0.705689 train-auc:0.849025
[161] eval-auc:0.705924 train-auc:0.849879
[162] eval-auc:0.705824 train-auc:0.850282
[163] eval-auc:0.704909 train-auc:0.850555
[164] eval-auc:0.705116 train-auc:0.851099
[165] eval-auc:0.705326 train-auc:0.851674
[166] eval-auc:0.705029 train-auc:0.852211
[167] eval-auc:0.705177 train-auc:0.852171
[168] eval-auc:0.704989 train-auc:0.852315
[169] eval-auc:0.704883 train-auc:0.852736
[170] eval-auc:0.70507 train-auc:0.85322
[171] eval-auc:0.705195 train-auc:0.853326
[172] eval-auc:0.705302 train-auc:0.853361
[173] eval-auc:0.705196 train-auc:0.853589
[174] eval-auc:0.70541 train-auc:0.853848
[175] eval-auc:0.705309 train-auc:0.854235
[176] eval-auc:0.705253 train-auc:0.855114
[177] eval-auc:0.70533 train-auc:0.855326
[178] eval-auc:0.704629 train-auc:0.85591
[179] eval-auc:0.704554 train-auc:0.855959
[180] eval-auc:0.704625 train-auc:0.856096
[181] eval-auc:0.70454 train-auc:0.856535
[182] eval-auc:0.704495 train-auc:0.856721
[183] eval-auc:0.704192 train-auc:0.857203
[184] eval-auc:0.704643 train-auc:0.857826
[185] eval-auc:0.704673 train-auc:0.857978
[186] eval-auc:0.70503 train-auc:0.858663
[187] eval-auc:0.705155 train-auc:0.859125
[188] eval-auc:0.705236 train-auc:0.859499
[189] eval-auc:0.705372 train-auc:0.860075
[190] eval-auc:0.705792 train-auc:0.860586
[191] eval-auc:0.705894 train-auc:0.861078
[192] eval-auc:0.705985 train-auc:0.861456
[193] eval-auc:0.706215 train-auc:0.861522
[194] eval-auc:0.706195 train-auc:0.862448
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[210] eval-auc:0.707922 train-auc:0.868561
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[224] eval-auc:0.708053 train-auc:0.872722
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[226] eval-auc:0.707735 train-auc:0.873591
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[228] eval-auc:0.707284 train-auc:0.873585
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[230] eval-auc:0.70727 train-auc:0.875164
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[234] eval-auc:0.706809 train-auc:0.876458
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[238] eval-auc:0.70779 train-auc:0.877985
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[240] eval-auc:0.707572 train-auc:0.879083
[241] eval-auc:0.70706 train-auc:0.879743
[242] eval-auc:0.706477 train-auc:0.880404
[243] eval-auc:0.706509 train-auc:0.880524
[244] eval-auc:0.706198 train-auc:0.881302
[245] eval-auc:0.70595 train-auc:0.881503
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[247] eval-auc:0.705912 train-auc:0.882083
[248] eval-auc:0.705997 train-auc:0.882221
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[256] eval-auc:0.70562 train-auc:0.885408
[257] eval-auc:0.705902 train-auc:0.885574
[258] eval-auc:0.706081 train-auc:0.88585
[259] eval-auc:0.706142 train-auc:0.886254
[260] eval-auc:0.706099 train-auc:0.886306
[261] eval-auc:0.705697 train-auc:0.886697
[262] eval-auc:0.705606 train-auc:0.886649
[263] eval-auc:0.705714 train-auc:0.886977
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[265] eval-auc:0.705355 train-auc:0.887141
[266] eval-auc:0.705294 train-auc:0.887515
[267] eval-auc:0.705145 train-auc:0.887671
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[270] eval-auc:0.70587 train-auc:0.888624
[271] eval-auc:0.705547 train-auc:0.88903
[272] eval-auc:0.705096 train-auc:0.88928
[273] eval-auc:0.705235 train-auc:0.889888
[274] eval-auc:0.705192 train-auc:0.890039
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[277] eval-auc:0.70474 train-auc:0.891031
[278] eval-auc:0.704552 train-auc:0.890938
[279] eval-auc:0.704868 train-auc:0.891126
[280] eval-auc:0.705058 train-auc:0.891461
[281] eval-auc:0.70509 train-auc:0.89152
[282] eval-auc:0.705064 train-auc:0.891686
[283] eval-auc:0.705008 train-auc:0.89203
[284] eval-auc:0.705312 train-auc:0.892276
[285] eval-auc:0.705547 train-auc:0.892406
[286] eval-auc:0.705369 train-auc:0.892236
[287] eval-auc:0.705125 train-auc:0.89233
[288] eval-auc:0.705079 train-auc:0.893036
[289] eval-auc:0.704999 train-auc:0.893073
[290] eval-auc:0.704871 train-auc:0.893241
[291] eval-auc:0.704526 train-auc:0.893724
[292] eval-auc:0.704297 train-auc:0.893985
[293] eval-auc:0.704266 train-auc:0.894076
[294] eval-auc:0.704286 train-auc:0.894191
[295] eval-auc:0.704727 train-auc:0.894735
[296] eval-auc:0.704099 train-auc:0.895106
[297] eval-auc:0.704604 train-auc:0.895369
[298] eval-auc:0.704635 train-auc:0.895685
[299] eval-auc:0.704668 train-auc:0.896309
[300] eval-auc:0.704417 train-auc:0.896892
[301] eval-auc:0.704536 train-auc:0.897216
[302] eval-auc:0.704834 train-auc:0.897647
[303] eval-auc:0.704826 train-auc:0.897875
[304] eval-auc:0.704948 train-auc:0.898042
[305] eval-auc:0.70449 train-auc:0.898072
[306] eval-auc:0.704974 train-auc:0.898343
[307] eval-auc:0.704278 train-auc:0.899061
[308] eval-auc:0.704455 train-auc:0.899212
[309] eval-auc:0.704892 train-auc:0.899244
[310] eval-auc:0.705008 train-auc:0.899631
[311] eval-auc:0.704877 train-auc:0.899859
[312] eval-auc:0.704688 train-auc:0.900165
[313] eval-auc:0.7046 train-auc:0.900388
[314] eval-auc:0.704298 train-auc:0.900447
[315] eval-auc:0.70484 train-auc:0.900746
[316] eval-auc:0.704635 train-auc:0.900736
[317] eval-auc:0.704825 train-auc:0.900984
[318] eval-auc:0.704878 train-auc:0.901346
[319] eval-auc:0.704557 train-auc:0.901358
[320] eval-auc:0.70433 train-auc:0.90191
Score 0.7043300564021976
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8, 'eta': 0.275, 'eval_metric': 'auc', 'gamma': 0.75, 'max_depth': 13, 'min_child_weight': 1.0, 'n_estimators': 477.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.632532 train-auc:0.87786
[1] eval-auc:0.632574 train-auc:0.955961
[2] eval-auc:0.61835 train-auc:0.981662
[3] eval-auc:0.626779 train-auc:0.992193
[4] eval-auc:0.652533 train-auc:0.996343
[5] eval-auc:0.650995 train-auc:0.998728
[6] eval-auc:0.654097 train-auc:0.999571
[7] eval-auc:0.650013 train-auc:0.999899
[8] eval-auc:0.656818 train-auc:0.999969
[9] eval-auc:0.653752 train-auc:0.999975
[10] eval-auc:0.669787 train-auc:0.999996
[11] eval-auc:0.668932 train-auc:0.999996
[12] eval-auc:0.670949 train-auc:0.999999
[13] eval-auc:0.6733 train-auc:0.999999
[14] eval-auc:0.674862 train-auc:0.999999
[15] eval-auc:0.672593 train-auc:1
[16] eval-auc:0.669103 train-auc:1
[17] eval-auc:0.674783 train-auc:1
[18] eval-auc:0.672525 train-auc:1
[19] eval-auc:0.683013 train-auc:1
[20] eval-auc:0.684997 train-auc:1
[21] eval-auc:0.688191 train-auc:1
[22] eval-auc:0.689183 train-auc:1
[23] eval-auc:0.68932 train-auc:1
[24] eval-auc:0.694891 train-auc:1
[25] eval-auc:0.694551 train-auc:1
[26] eval-auc:0.69402 train-auc:1
[27] eval-auc:0.697424 train-auc:1
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[30] eval-auc:0.702148 train-auc:1
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[44] eval-auc:0.704223 train-auc:1
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[46] eval-auc:0.706561 train-auc:1
[47] eval-auc:0.70611 train-auc:1
[48] eval-auc:0.707184 train-auc:1
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[50] eval-auc:0.707226 train-auc:1
[51] eval-auc:0.706846 train-auc:1
[52] eval-auc:0.706264 train-auc:1
[53] eval-auc:0.706061 train-auc:1
[54] eval-auc:0.705819 train-auc:1
[55] eval-auc:0.705251 train-auc:1
[56] eval-auc:0.705012 train-auc:1
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[59] eval-auc:0.705038 train-auc:1
[60] eval-auc:0.70537 train-auc:1
[61] eval-auc:0.705399 train-auc:1
[62] eval-auc:0.705623 train-auc:1
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[64] eval-auc:0.704522 train-auc:1
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[71] eval-auc:0.705905 train-auc:1
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[75] eval-auc:0.706581 train-auc:1
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[80] eval-auc:0.706694 train-auc:1
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[101] eval-auc:0.706141 train-auc:1
[102] eval-auc:0.706188 train-auc:1
[103] eval-auc:0.706235 train-auc:1
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[134] eval-auc:0.710567 train-auc:1
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[136] eval-auc:0.710416 train-auc:1
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[138] eval-auc:0.710372 train-auc:1
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[140] eval-auc:0.710346 train-auc:1
[141] eval-auc:0.709931 train-auc:1
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[144] eval-auc:0.710057 train-auc:1
[145] eval-auc:0.709649 train-auc:1
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[150] eval-auc:0.70943 train-auc:1
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[152] eval-auc:0.709236 train-auc:1
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[154] eval-auc:0.709396 train-auc:1
[155] eval-auc:0.709512 train-auc:1
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[159] eval-auc:0.70937 train-auc:1
[160] eval-auc:0.70937 train-auc:1
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[163] eval-auc:0.709395 train-auc:1
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[165] eval-auc:0.709749 train-auc:1
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[186] eval-auc:0.709235 train-auc:1
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[192] eval-auc:0.709351 train-auc:1
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[225] eval-auc:0.708582 train-auc:1
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[275] eval-auc:0.709463 train-auc:1
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[277] eval-auc:0.709463 train-auc:1
[278] eval-auc:0.709746 train-auc:1
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[280] eval-auc:0.709529 train-auc:1
[281] eval-auc:0.709529 train-auc:1
[282] eval-auc:0.709529 train-auc:1
[283] eval-auc:0.709529 train-auc:1
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[285] eval-auc:0.709658 train-auc:1
[286] eval-auc:0.709658 train-auc:1
[287] eval-auc:0.709658 train-auc:1
[288] eval-auc:0.709658 train-auc:1
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[290] eval-auc:0.709658 train-auc:1
[291] eval-auc:0.709769 train-auc:1
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[293] eval-auc:0.709498 train-auc:1
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[295] eval-auc:0.70945 train-auc:1
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[297] eval-auc:0.709095 train-auc:1
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[299] eval-auc:0.709019 train-auc:1
[300] eval-auc:0.709019 train-auc:1
[301] eval-auc:0.709019 train-auc:1
[302] eval-auc:0.709019 train-auc:1
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[305] eval-auc:0.709055 train-auc:1
[306] eval-auc:0.709055 train-auc:1
[307] eval-auc:0.709055 train-auc:1
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[309] eval-auc:0.709055 train-auc:1
[310] eval-auc:0.709055 train-auc:1
[311] eval-auc:0.708582 train-auc:1
[312] eval-auc:0.708521 train-auc:1
[313] eval-auc:0.708521 train-auc:1
[314] eval-auc:0.708521 train-auc:1
[315] eval-auc:0.708437 train-auc:1
[316] eval-auc:0.708437 train-auc:1
[317] eval-auc:0.708437 train-auc:1
[318] eval-auc:0.708419 train-auc:1
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[320] eval-auc:0.708419 train-auc:1
[321] eval-auc:0.708139 train-auc:1
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[324] eval-auc:0.708139 train-auc:1
[325] eval-auc:0.708139 train-auc:1
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[328] eval-auc:0.707963 train-auc:1
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[330] eval-auc:0.707666 train-auc:1
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[333] eval-auc:0.707435 train-auc:1
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[339] eval-auc:0.707575 train-auc:1
[340] eval-auc:0.707575 train-auc:1
[341] eval-auc:0.707575 train-auc:1
[342] eval-auc:0.707575 train-auc:1
[343] eval-auc:0.707575 train-auc:1
[344] eval-auc:0.707575 train-auc:1
[345] eval-auc:0.707717 train-auc:1
[346] eval-auc:0.707717 train-auc:1
[347] eval-auc:0.707717 train-auc:1
[348] eval-auc:0.707717 train-auc:1
[349] eval-auc:0.707717 train-auc:1
[350] eval-auc:0.707717 train-auc:1
[351] eval-auc:0.70764 train-auc:1
[352] eval-auc:0.70764 train-auc:1
[353] eval-auc:0.70764 train-auc:1
[354] eval-auc:0.70764 train-auc:1
[355] eval-auc:0.70764 train-auc:1
[356] eval-auc:0.70764 train-auc:1
[357] eval-auc:0.70764 train-auc:1
[358] eval-auc:0.70764 train-auc:1
[359] eval-auc:0.707484 train-auc:1
[360] eval-auc:0.707484 train-auc:1
[361] eval-auc:0.707181 train-auc:1
[362] eval-auc:0.707181 train-auc:1
[363] eval-auc:0.707181 train-auc:1
[364] eval-auc:0.707181 train-auc:1
[365] eval-auc:0.707181 train-auc:1
[366] eval-auc:0.707181 train-auc:1
[367] eval-auc:0.707181 train-auc:1
[368] eval-auc:0.707181 train-auc:1
[369] eval-auc:0.707181 train-auc:1
[370] eval-auc:0.707181 train-auc:1
[371] eval-auc:0.707181 train-auc:1
[372] eval-auc:0.707229 train-auc:1
[373] eval-auc:0.707229 train-auc:1
[374] eval-auc:0.7069 train-auc:1
[375] eval-auc:0.7069 train-auc:1
[376] eval-auc:0.7069 train-auc:1
[377] eval-auc:0.7069 train-auc:1
[378] eval-auc:0.7069 train-auc:1
[379] eval-auc:0.7069 train-auc:1
[380] eval-auc:0.7069 train-auc:1
[381] eval-auc:0.7069 train-auc:1
[382] eval-auc:0.7069 train-auc:1
[383] eval-auc:0.7069 train-auc:1
[384] eval-auc:0.7069 train-auc:1
[385] eval-auc:0.7069 train-auc:1
[386] eval-auc:0.7069 train-auc:1
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[388] eval-auc:0.7069 train-auc:1
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[390] eval-auc:0.7069 train-auc:1
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[392] eval-auc:0.70703 train-auc:1
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[394] eval-auc:0.70703 train-auc:1
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[400] eval-auc:0.70703 train-auc:1
[401] eval-auc:0.70703 train-auc:1
[402] eval-auc:0.70703 train-auc:1
[403] eval-auc:0.70703 train-auc:1
[404] eval-auc:0.70703 train-auc:1
[405] eval-auc:0.70703 train-auc:1
[406] eval-auc:0.70703 train-auc:1
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[410] eval-auc:0.70703 train-auc:1
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[412] eval-auc:0.70703 train-auc:1
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[414] eval-auc:0.70703 train-auc:1
[415] eval-auc:0.70703 train-auc:1
[416] eval-auc:0.70703 train-auc:1
[417] eval-auc:0.706981 train-auc:1
[418] eval-auc:0.706981 train-auc:1
[419] eval-auc:0.706981 train-auc:1
[420] eval-auc:0.706981 train-auc:1
[421] eval-auc:0.706981 train-auc:1
[422] eval-auc:0.706981 train-auc:1
[423] eval-auc:0.706981 train-auc:1
[424] eval-auc:0.706981 train-auc:1
[425] eval-auc:0.707086 train-auc:1
[426] eval-auc:0.707086 train-auc:1
[427] eval-auc:0.707086 train-auc:1
[428] eval-auc:0.707086 train-auc:1
[429] eval-auc:0.707086 train-auc:1
[430] eval-auc:0.707086 train-auc:1
[431] eval-auc:0.707086 train-auc:1
[432] eval-auc:0.707086 train-auc:1
[433] eval-auc:0.707086 train-auc:1
[434] eval-auc:0.707086 train-auc:1
[435] eval-auc:0.707086 train-auc:1
[436] eval-auc:0.707086 train-auc:1
[437] eval-auc:0.707086 train-auc:1
[438] eval-auc:0.707086 train-auc:1
[439] eval-auc:0.707086 train-auc:1
[440] eval-auc:0.707249 train-auc:1
[441] eval-auc:0.707249 train-auc:1
[442] eval-auc:0.707249 train-auc:1
[443] eval-auc:0.707249 train-auc:1
[444] eval-auc:0.707249 train-auc:1
[445] eval-auc:0.706862 train-auc:1
[446] eval-auc:0.706862 train-auc:1
[447] eval-auc:0.706862 train-auc:1
[448] eval-auc:0.706862 train-auc:1
[449] eval-auc:0.706862 train-auc:1
[450] eval-auc:0.706862 train-auc:1
[451] eval-auc:0.706862 train-auc:1
[452] eval-auc:0.707047 train-auc:1
[453] eval-auc:0.70727 train-auc:1
[454] eval-auc:0.70727 train-auc:1
[455] eval-auc:0.70727 train-auc:1
[456] eval-auc:0.70727 train-auc:1
[457] eval-auc:0.707691 train-auc:1
[458] eval-auc:0.707691 train-auc:1
[459] eval-auc:0.707691 train-auc:1
[460] eval-auc:0.707691 train-auc:1
[461] eval-auc:0.707691 train-auc:1
[462] eval-auc:0.707691 train-auc:1
[463] eval-auc:0.707691 train-auc:1
[464] eval-auc:0.707691 train-auc:1
[465] eval-auc:0.707691 train-auc:1
[466] eval-auc:0.707691 train-auc:1
[467] eval-auc:0.707691 train-auc:1
[468] eval-auc:0.707484 train-auc:1
[469] eval-auc:0.707484 train-auc:1
[470] eval-auc:0.707484 train-auc:1
[471] eval-auc:0.707484 train-auc:1
[472] eval-auc:0.707484 train-auc:1
[473] eval-auc:0.707484 train-auc:1
[474] eval-auc:0.707484 train-auc:1
[475] eval-auc:0.707484 train-auc:1
[476] eval-auc:0.707484 train-auc:1
Score 0.7074836457990717
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9, 'eta': 0.2, 'eval_metric': 'auc', 'gamma': 0.7000000000000001, 'max_depth': 6, 'min_child_weight': 2.0, 'n_estimators': 397.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.708146 train-auc:0.775882
[1] eval-auc:0.685329 train-auc:0.811812
[2] eval-auc:0.695106 train-auc:0.833643
[3] eval-auc:0.68605 train-auc:0.843165
[4] eval-auc:0.687464 train-auc:0.865539
[5] eval-auc:0.693146 train-auc:0.88076
[6] eval-auc:0.692953 train-auc:0.893315
[7] eval-auc:0.693896 train-auc:0.905478
[8] eval-auc:0.695123 train-auc:0.911204
[9] eval-auc:0.691388 train-auc:0.919173
[10] eval-auc:0.689939 train-auc:0.926046
[11] eval-auc:0.692689 train-auc:0.931206
[12] eval-auc:0.697368 train-auc:0.936471
[13] eval-auc:0.696494 train-auc:0.941186
[14] eval-auc:0.6968 train-auc:0.943314
[15] eval-auc:0.696791 train-auc:0.946256
[16] eval-auc:0.696424 train-auc:0.95015
[17] eval-auc:0.693545 train-auc:0.953097
[18] eval-auc:0.693557 train-auc:0.954306
[19] eval-auc:0.693803 train-auc:0.955328
[20] eval-auc:0.69137 train-auc:0.956355
[21] eval-auc:0.688906 train-auc:0.958262
[22] eval-auc:0.689034 train-auc:0.958568
[23] eval-auc:0.689765 train-auc:0.960245
[24] eval-auc:0.689788 train-auc:0.961954
[25] eval-auc:0.690532 train-auc:0.967525
[26] eval-auc:0.691557 train-auc:0.969626
[27] eval-auc:0.691001 train-auc:0.97045
[28] eval-auc:0.691814 train-auc:0.972283
[29] eval-auc:0.692222 train-auc:0.973251
[30] eval-auc:0.692974 train-auc:0.973488
[31] eval-auc:0.693733 train-auc:0.974247
[32] eval-auc:0.692927 train-auc:0.976751
[33] eval-auc:0.693049 train-auc:0.976866
[34] eval-auc:0.691543 train-auc:0.978462
[35] eval-auc:0.691669 train-auc:0.979315
[36] eval-auc:0.694174 train-auc:0.980578
[37] eval-auc:0.693426 train-auc:0.981002
[38] eval-auc:0.694141 train-auc:0.98313
[39] eval-auc:0.693867 train-auc:0.984121
[40] eval-auc:0.695277 train-auc:0.985118
[41] eval-auc:0.693589 train-auc:0.985326
[42] eval-auc:0.694874 train-auc:0.986603
[43] eval-auc:0.695284 train-auc:0.987217
[44] eval-auc:0.693955 train-auc:0.989079
[45] eval-auc:0.693184 train-auc:0.989128
[46] eval-auc:0.693457 train-auc:0.989533
[47] eval-auc:0.693751 train-auc:0.990779
[48] eval-auc:0.693538 train-auc:0.991239
[49] eval-auc:0.69246 train-auc:0.99184
[50] eval-auc:0.691214 train-auc:0.992252
[51] eval-auc:0.691267 train-auc:0.99249
[52] eval-auc:0.692362 train-auc:0.992953
[53] eval-auc:0.692687 train-auc:0.993589
[54] eval-auc:0.692888 train-auc:0.99359
[55] eval-auc:0.693062 train-auc:0.994234
[56] eval-auc:0.693458 train-auc:0.994759
[57] eval-auc:0.694693 train-auc:0.995034
[58] eval-auc:0.693516 train-auc:0.995095
[59] eval-auc:0.693893 train-auc:0.995117
[60] eval-auc:0.693633 train-auc:0.99542
[61] eval-auc:0.693496 train-auc:0.995486
[62] eval-auc:0.694042 train-auc:0.995676
[63] eval-auc:0.694026 train-auc:0.995776
[64] eval-auc:0.693911 train-auc:0.995871
[65] eval-auc:0.693826 train-auc:0.996005
[66] eval-auc:0.693698 train-auc:0.99614
[67] eval-auc:0.693907 train-auc:0.996258
[68] eval-auc:0.693277 train-auc:0.996323
[69] eval-auc:0.694712 train-auc:0.996739
[70] eval-auc:0.694516 train-auc:0.996987
[71] eval-auc:0.693945 train-auc:0.997083
[72] eval-auc:0.694352 train-auc:0.997186
[73] eval-auc:0.694213 train-auc:0.997282
[74] eval-auc:0.692629 train-auc:0.997567
[75] eval-auc:0.693473 train-auc:0.997792
[76] eval-auc:0.693392 train-auc:0.997808
[77] eval-auc:0.693612 train-auc:0.997813
[78] eval-auc:0.693768 train-auc:0.997804
[79] eval-auc:0.693688 train-auc:0.9979
[80] eval-auc:0.693208 train-auc:0.997919
[81] eval-auc:0.693287 train-auc:0.997929
[82] eval-auc:0.693715 train-auc:0.997988
[83] eval-auc:0.693438 train-auc:0.998039
[84] eval-auc:0.693602 train-auc:0.998135
[85] eval-auc:0.694219 train-auc:0.998166
[86] eval-auc:0.694213 train-auc:0.998229
[87] eval-auc:0.69387 train-auc:0.998367
[88] eval-auc:0.693946 train-auc:0.998399
[89] eval-auc:0.694044 train-auc:0.998603
[90] eval-auc:0.694091 train-auc:0.998639
[91] eval-auc:0.693508 train-auc:0.99874
[92] eval-auc:0.693922 train-auc:0.998771
[93] eval-auc:0.693633 train-auc:0.998796
[94] eval-auc:0.694211 train-auc:0.998839
[95] eval-auc:0.693442 train-auc:0.99885
[96] eval-auc:0.693538 train-auc:0.998853
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[98] eval-auc:0.693404 train-auc:0.999109
[99] eval-auc:0.693834 train-auc:0.99912
[100] eval-auc:0.695195 train-auc:0.999163
[101] eval-auc:0.694732 train-auc:0.999194
[102] eval-auc:0.694885 train-auc:0.999244
[103] eval-auc:0.694639 train-auc:0.999252
[104] eval-auc:0.694391 train-auc:0.999264
[105] eval-auc:0.694318 train-auc:0.999267
[106] eval-auc:0.694094 train-auc:0.99928
[107] eval-auc:0.693948 train-auc:0.999302
[108] eval-auc:0.693208 train-auc:0.999311
[109] eval-auc:0.693173 train-auc:0.999317
[110] eval-auc:0.693414 train-auc:0.999321
[111] eval-auc:0.693013 train-auc:0.999344
[112] eval-auc:0.691513 train-auc:0.999368
[113] eval-auc:0.691879 train-auc:0.999394
[114] eval-auc:0.691425 train-auc:0.99945
[115] eval-auc:0.69241 train-auc:0.999491
[116] eval-auc:0.69368 train-auc:0.99952
[117] eval-auc:0.69365 train-auc:0.999521
[118] eval-auc:0.693628 train-auc:0.999532
[119] eval-auc:0.693858 train-auc:0.999583
[120] eval-auc:0.69382 train-auc:0.999594
[121] eval-auc:0.693913 train-auc:0.999595
[122] eval-auc:0.693712 train-auc:0.999603
[123] eval-auc:0.693686 train-auc:0.999604
[124] eval-auc:0.69306 train-auc:0.999617
[125] eval-auc:0.693424 train-auc:0.999638
[126] eval-auc:0.692954 train-auc:0.999642
[127] eval-auc:0.693363 train-auc:0.999668
[128] eval-auc:0.692011 train-auc:0.999715
[129] eval-auc:0.691929 train-auc:0.999713
[130] eval-auc:0.691772 train-auc:0.999703
[131] eval-auc:0.692702 train-auc:0.99974
[132] eval-auc:0.692719 train-auc:0.99974
[133] eval-auc:0.692556 train-auc:0.999753
[134] eval-auc:0.692497 train-auc:0.999796
[135] eval-auc:0.692913 train-auc:0.999818
[136] eval-auc:0.692814 train-auc:0.999847
[137] eval-auc:0.692724 train-auc:0.999873
[138] eval-auc:0.692797 train-auc:0.999874
[139] eval-auc:0.692328 train-auc:0.999883
[140] eval-auc:0.692203 train-auc:0.99991
[141] eval-auc:0.69169 train-auc:0.99991
[142] eval-auc:0.690571 train-auc:0.999912
[143] eval-auc:0.689266 train-auc:0.99994
[144] eval-auc:0.688669 train-auc:0.999951
[145] eval-auc:0.689193 train-auc:0.999957
[146] eval-auc:0.68963 train-auc:0.99996
[147] eval-auc:0.68865 train-auc:0.999959
[148] eval-auc:0.688769 train-auc:0.999958
[149] eval-auc:0.689113 train-auc:0.999958
[150] eval-auc:0.688789 train-auc:0.999958
[151] eval-auc:0.688223 train-auc:0.999959
[152] eval-auc:0.687988 train-auc:0.999969
[153] eval-auc:0.688593 train-auc:0.999973
[154] eval-auc:0.687787 train-auc:0.999976
[155] eval-auc:0.687702 train-auc:0.999981
[156] eval-auc:0.687885 train-auc:0.999982
[157] eval-auc:0.687857 train-auc:0.999983
[158] eval-auc:0.687668 train-auc:0.999984
[159] eval-auc:0.687079 train-auc:0.999984
[160] eval-auc:0.687231 train-auc:0.999984
[161] eval-auc:0.687527 train-auc:0.999984
[162] eval-auc:0.687384 train-auc:0.999985
[163] eval-auc:0.687117 train-auc:0.999985
[164] eval-auc:0.687411 train-auc:0.999986
[165] eval-auc:0.687152 train-auc:0.999986
[166] eval-auc:0.686491 train-auc:0.999991
[167] eval-auc:0.685657 train-auc:0.999991
[168] eval-auc:0.684723 train-auc:0.999992
[169] eval-auc:0.684274 train-auc:0.999993
[170] eval-auc:0.683776 train-auc:0.999995
[171] eval-auc:0.68393 train-auc:0.999996
[172] eval-auc:0.683712 train-auc:0.999996
[173] eval-auc:0.68382 train-auc:0.999996
[174] eval-auc:0.684014 train-auc:0.999996
[175] eval-auc:0.683689 train-auc:0.999996
[176] eval-auc:0.683441 train-auc:0.999996
[177] eval-auc:0.68351 train-auc:0.999996
[178] eval-auc:0.682946 train-auc:0.999996
[179] eval-auc:0.6828 train-auc:0.999996
[180] eval-auc:0.682846 train-auc:0.999997
[181] eval-auc:0.682945 train-auc:0.999997
[182] eval-auc:0.683441 train-auc:0.999997
[183] eval-auc:0.683403 train-auc:0.999997
[184] eval-auc:0.683903 train-auc:0.999997
[185] eval-auc:0.683631 train-auc:0.999997
[186] eval-auc:0.683727 train-auc:0.999997
[187] eval-auc:0.683226 train-auc:0.999996
[188] eval-auc:0.684905 train-auc:0.999998
[189] eval-auc:0.685366 train-auc:0.999998
[190] eval-auc:0.685893 train-auc:0.999998
[191] eval-auc:0.685603 train-auc:0.999998
[192] eval-auc:0.686232 train-auc:0.999998
[193] eval-auc:0.686106 train-auc:0.999998
[194] eval-auc:0.685958 train-auc:0.999998
[195] eval-auc:0.685367 train-auc:0.999999
[196] eval-auc:0.685442 train-auc:0.999999
[197] eval-auc:0.684758 train-auc:0.999999
[198] eval-auc:0.684742 train-auc:0.999999
[199] eval-auc:0.684533 train-auc:0.999999
[200] eval-auc:0.684507 train-auc:0.999999
[201] eval-auc:0.684219 train-auc:0.999999
[202] eval-auc:0.683799 train-auc:0.999999
[203] eval-auc:0.683624 train-auc:0.999999
[204] eval-auc:0.683965 train-auc:0.999999
[205] eval-auc:0.684227 train-auc:0.999999
[206] eval-auc:0.68449 train-auc:0.999999
[207] eval-auc:0.684854 train-auc:0.999999
[208] eval-auc:0.684833 train-auc:1
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[210] eval-auc:0.685313 train-auc:1
[211] eval-auc:0.685188 train-auc:1
[212] eval-auc:0.68483 train-auc:1
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[219] eval-auc:0.684571 train-auc:0.999999
[220] eval-auc:0.684757 train-auc:0.999999
[221] eval-auc:0.684256 train-auc:1
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[224] eval-auc:0.684618 train-auc:1
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[234] eval-auc:0.685031 train-auc:1
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[236] eval-auc:0.685427 train-auc:1
[237] eval-auc:0.685539 train-auc:1
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[240] eval-auc:0.685025 train-auc:1
[241] eval-auc:0.684148 train-auc:1
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[243] eval-auc:0.683517 train-auc:1
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[246] eval-auc:0.683848 train-auc:1
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[256] eval-auc:0.683619 train-auc:1
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[260] eval-auc:0.684035 train-auc:1
[261] eval-auc:0.683831 train-auc:1
[262] eval-auc:0.683831 train-auc:1
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[264] eval-auc:0.683831 train-auc:1
[265] eval-auc:0.683831 train-auc:1
[266] eval-auc:0.683831 train-auc:1
[267] eval-auc:0.683831 train-auc:1
[268] eval-auc:0.683831 train-auc:1
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[270] eval-auc:0.683831 train-auc:1
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[272] eval-auc:0.683831 train-auc:1
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[277] eval-auc:0.684183 train-auc:1
[278] eval-auc:0.684183 train-auc:1
[279] eval-auc:0.684183 train-auc:1
[280] eval-auc:0.684183 train-auc:1
[281] eval-auc:0.684183 train-auc:1
[282] eval-auc:0.684297 train-auc:1
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[284] eval-auc:0.684603 train-auc:1
[285] eval-auc:0.684603 train-auc:1
[286] eval-auc:0.684571 train-auc:1
[287] eval-auc:0.684571 train-auc:1
[288] eval-auc:0.684571 train-auc:1
[289] eval-auc:0.684571 train-auc:1
[290] eval-auc:0.684571 train-auc:1
[291] eval-auc:0.684571 train-auc:1
[292] eval-auc:0.684571 train-auc:1
[293] eval-auc:0.684608 train-auc:1
[294] eval-auc:0.684135 train-auc:1
[295] eval-auc:0.684397 train-auc:1
[296] eval-auc:0.684563 train-auc:1
[297] eval-auc:0.684563 train-auc:1
[298] eval-auc:0.684563 train-auc:1
[299] eval-auc:0.684563 train-auc:1
[300] eval-auc:0.684563 train-auc:1
[301] eval-auc:0.684563 train-auc:1
[302] eval-auc:0.684563 train-auc:1
[303] eval-auc:0.684563 train-auc:1
[304] eval-auc:0.684563 train-auc:1
[305] eval-auc:0.684563 train-auc:1
[306] eval-auc:0.684563 train-auc:1
[307] eval-auc:0.684563 train-auc:1
[308] eval-auc:0.684574 train-auc:1
[309] eval-auc:0.684591 train-auc:1
[310] eval-auc:0.684591 train-auc:1
[311] eval-auc:0.684591 train-auc:1
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[316] eval-auc:0.684703 train-auc:1
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[318] eval-auc:0.684703 train-auc:1
[319] eval-auc:0.684703 train-auc:1
[320] eval-auc:0.684064 train-auc:1
[321] eval-auc:0.683935 train-auc:1
[322] eval-auc:0.684193 train-auc:1
[323] eval-auc:0.684399 train-auc:1
[324] eval-auc:0.684268 train-auc:1
[325] eval-auc:0.684294 train-auc:1
[326] eval-auc:0.684233 train-auc:1
[327] eval-auc:0.684484 train-auc:1
[328] eval-auc:0.684545 train-auc:1
[329] eval-auc:0.684164 train-auc:1
[330] eval-auc:0.683971 train-auc:1
[331] eval-auc:0.683674 train-auc:1
[332] eval-auc:0.683994 train-auc:1
[333] eval-auc:0.684164 train-auc:1
[334] eval-auc:0.684397 train-auc:1
[335] eval-auc:0.684228 train-auc:1
[336] eval-auc:0.684213 train-auc:1
[337] eval-auc:0.684271 train-auc:1
[338] eval-auc:0.684557 train-auc:1
[339] eval-auc:0.684617 train-auc:1
[340] eval-auc:0.684665 train-auc:1
[341] eval-auc:0.684815 train-auc:1
[342] eval-auc:0.684938 train-auc:1
[343] eval-auc:0.684726 train-auc:1
[344] eval-auc:0.684915 train-auc:1
[345] eval-auc:0.685003 train-auc:1
[346] eval-auc:0.685064 train-auc:1
[347] eval-auc:0.685174 train-auc:1
[348] eval-auc:0.685124 train-auc:1
[349] eval-auc:0.684905 train-auc:1
[350] eval-auc:0.685194 train-auc:1
[351] eval-auc:0.685617 train-auc:1
[352] eval-auc:0.685573 train-auc:1
[353] eval-auc:0.685573 train-auc:1
[354] eval-auc:0.685573 train-auc:1
[355] eval-auc:0.685573 train-auc:1
[356] eval-auc:0.685573 train-auc:1
[357] eval-auc:0.685573 train-auc:1
[358] eval-auc:0.685573 train-auc:1
[359] eval-auc:0.685573 train-auc:1
[360] eval-auc:0.685573 train-auc:1
[361] eval-auc:0.685573 train-auc:1
[362] eval-auc:0.685573 train-auc:1
[363] eval-auc:0.685573 train-auc:1
[364] eval-auc:0.685573 train-auc:1
[365] eval-auc:0.685573 train-auc:1
[366] eval-auc:0.685937 train-auc:1
[367] eval-auc:0.686213 train-auc:1
[368] eval-auc:0.686213 train-auc:1
[369] eval-auc:0.686153 train-auc:1
[370] eval-auc:0.686235 train-auc:1
[371] eval-auc:0.686275 train-auc:1
[372] eval-auc:0.686516 train-auc:1
[373] eval-auc:0.686516 train-auc:1
[374] eval-auc:0.686516 train-auc:1
[375] eval-auc:0.686567 train-auc:1
[376] eval-auc:0.686613 train-auc:1
[377] eval-auc:0.686921 train-auc:1
[378] eval-auc:0.686867 train-auc:1
[379] eval-auc:0.686675 train-auc:1
[380] eval-auc:0.686516 train-auc:1
[381] eval-auc:0.686814 train-auc:1
[382] eval-auc:0.686939 train-auc:1
[383] eval-auc:0.686698 train-auc:1
[384] eval-auc:0.686637 train-auc:1
[385] eval-auc:0.686575 train-auc:1
[386] eval-auc:0.686657 train-auc:1
[387] eval-auc:0.686554 train-auc:1
[388] eval-auc:0.686308 train-auc:1
[389] eval-auc:0.68587 train-auc:1
[390] eval-auc:0.685815 train-auc:1
[391] eval-auc:0.685815 train-auc:1
[392] eval-auc:0.685815 train-auc:1
[393] eval-auc:0.685815 train-auc:1
[394] eval-auc:0.685946 train-auc:1
[395] eval-auc:0.686112 train-auc:1
[396] eval-auc:0.686172 train-auc:1
Score 0.6861721728855267
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.75, 'eta': 0.07500000000000001, 'eval_metric': 'auc', 'gamma': 0.65, 'max_depth': 3, 'min_child_weight': 1.0, 'n_estimators': 282.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.8, 'tree_method': 'exact'}
[0] eval-auc:0.661078 train-auc:0.696017
[1] eval-auc:0.661002 train-auc:0.709471
[2] eval-auc:0.678792 train-auc:0.719121
[3] eval-auc:0.673907 train-auc:0.723029
[4] eval-auc:0.684183 train-auc:0.73433
[5] eval-auc:0.683509 train-auc:0.731104
[6] eval-auc:0.687261 train-auc:0.734714
[7] eval-auc:0.687159 train-auc:0.737361
[8] eval-auc:0.695369 train-auc:0.741362
[9] eval-auc:0.69867 train-auc:0.738866
[10] eval-auc:0.697093 train-auc:0.74084
[11] eval-auc:0.695733 train-auc:0.740899
[12] eval-auc:0.694702 train-auc:0.73928
[13] eval-auc:0.69577 train-auc:0.740037
[14] eval-auc:0.696742 train-auc:0.740834
[15] eval-auc:0.69571 train-auc:0.741876
[16] eval-auc:0.69419 train-auc:0.742341
[17] eval-auc:0.696643 train-auc:0.745608
[18] eval-auc:0.697049 train-auc:0.747611
[19] eval-auc:0.696907 train-auc:0.749289
[20] eval-auc:0.697909 train-auc:0.748383
[21] eval-auc:0.699951 train-auc:0.749837
[22] eval-auc:0.699308 train-auc:0.751508
[23] eval-auc:0.698729 train-auc:0.752454
[24] eval-auc:0.698172 train-auc:0.755513
[25] eval-auc:0.69909 train-auc:0.757514
[26] eval-auc:0.698752 train-auc:0.757276
[27] eval-auc:0.698619 train-auc:0.760608
[28] eval-auc:0.700299 train-auc:0.760974
[29] eval-auc:0.699866 train-auc:0.761191
[30] eval-auc:0.701539 train-auc:0.764869
[31] eval-auc:0.701502 train-auc:0.764315
[32] eval-auc:0.702827 train-auc:0.765242
[33] eval-auc:0.702585 train-auc:0.764975
[34] eval-auc:0.703633 train-auc:0.766717
[35] eval-auc:0.70578 train-auc:0.767142
[36] eval-auc:0.705965 train-auc:0.766896
[37] eval-auc:0.706307 train-auc:0.767393
[38] eval-auc:0.706691 train-auc:0.767733
[39] eval-auc:0.706245 train-auc:0.769598
[40] eval-auc:0.706828 train-auc:0.770772
[41] eval-auc:0.707028 train-auc:0.771964
[42] eval-auc:0.706323 train-auc:0.773814
[43] eval-auc:0.706134 train-auc:0.774902
[44] eval-auc:0.705686 train-auc:0.774703
[45] eval-auc:0.70667 train-auc:0.775835
[46] eval-auc:0.706495 train-auc:0.777938
[47] eval-auc:0.706162 train-auc:0.77944
[48] eval-auc:0.706769 train-auc:0.779652
[49] eval-auc:0.70632 train-auc:0.780111
[50] eval-auc:0.706384 train-auc:0.780664
[51] eval-auc:0.705933 train-auc:0.781525
[52] eval-auc:0.70585 train-auc:0.782903
[53] eval-auc:0.706168 train-auc:0.784047
[54] eval-auc:0.706002 train-auc:0.78531
[55] eval-auc:0.706064 train-auc:0.787703
[56] eval-auc:0.705672 train-auc:0.788052
[57] eval-auc:0.705693 train-auc:0.788852
[58] eval-auc:0.706037 train-auc:0.788544
[59] eval-auc:0.705478 train-auc:0.788374
[60] eval-auc:0.705748 train-auc:0.789183
[61] eval-auc:0.705801 train-auc:0.789087
[62] eval-auc:0.705895 train-auc:0.78925
[63] eval-auc:0.705286 train-auc:0.791615
[64] eval-auc:0.705585 train-auc:0.79357
[65] eval-auc:0.705807 train-auc:0.793517
[66] eval-auc:0.705819 train-auc:0.793619
[67] eval-auc:0.706769 train-auc:0.794254
[68] eval-auc:0.706864 train-auc:0.795104
[69] eval-auc:0.706477 train-auc:0.796869
[70] eval-auc:0.705882 train-auc:0.800583
[71] eval-auc:0.706993 train-auc:0.802764
[72] eval-auc:0.707819 train-auc:0.803553
[73] eval-auc:0.707977 train-auc:0.804081
[74] eval-auc:0.708148 train-auc:0.804924
[75] eval-auc:0.70826 train-auc:0.806074
[76] eval-auc:0.707353 train-auc:0.806768
[77] eval-auc:0.706256 train-auc:0.808001
[78] eval-auc:0.706509 train-auc:0.80989
[79] eval-auc:0.707351 train-auc:0.811349
[80] eval-auc:0.706028 train-auc:0.812903
[81] eval-auc:0.706727 train-auc:0.814176
[82] eval-auc:0.707202 train-auc:0.815151
[83] eval-auc:0.706186 train-auc:0.815727
[84] eval-auc:0.705486 train-auc:0.816893
[85] eval-auc:0.70523 train-auc:0.817053
[86] eval-auc:0.704918 train-auc:0.817319
[87] eval-auc:0.704333 train-auc:0.818244
[88] eval-auc:0.704533 train-auc:0.818496
[89] eval-auc:0.703745 train-auc:0.818879
[90] eval-auc:0.703605 train-auc:0.819141
[91] eval-auc:0.703424 train-auc:0.820035
[92] eval-auc:0.70246 train-auc:0.821493
[93] eval-auc:0.702372 train-auc:0.821456
[94] eval-auc:0.703916 train-auc:0.822658
[95] eval-auc:0.704287 train-auc:0.822982
[96] eval-auc:0.704459 train-auc:0.823988
[97] eval-auc:0.704347 train-auc:0.824581
[98] eval-auc:0.704441 train-auc:0.825043
[99] eval-auc:0.703806 train-auc:0.825982
[100] eval-auc:0.70391 train-auc:0.825921
[101] eval-auc:0.702791 train-auc:0.826777
[102] eval-auc:0.703203 train-auc:0.828281
[103] eval-auc:0.703052 train-auc:0.82961
[104] eval-auc:0.703535 train-auc:0.830686
[105] eval-auc:0.703432 train-auc:0.831598
[106] eval-auc:0.702597 train-auc:0.832005
[107] eval-auc:0.70295 train-auc:0.832294
[108] eval-auc:0.702906 train-auc:0.832456
[109] eval-auc:0.70257 train-auc:0.833322
[110] eval-auc:0.702573 train-auc:0.834542
[111] eval-auc:0.703007 train-auc:0.835014
[112] eval-auc:0.703151 train-auc:0.835908
[113] eval-auc:0.703247 train-auc:0.836719
[114] eval-auc:0.703419 train-auc:0.837642
[115] eval-auc:0.703925 train-auc:0.839206
[116] eval-auc:0.703366 train-auc:0.840289
[117] eval-auc:0.703602 train-auc:0.841123
[118] eval-auc:0.703776 train-auc:0.841778
[119] eval-auc:0.70348 train-auc:0.842908
[120] eval-auc:0.703499 train-auc:0.843335
[121] eval-auc:0.704033 train-auc:0.843594
[122] eval-auc:0.704601 train-auc:0.844518
[123] eval-auc:0.704609 train-auc:0.845924
[124] eval-auc:0.704706 train-auc:0.846888
[125] eval-auc:0.705379 train-auc:0.847662
[126] eval-auc:0.704477 train-auc:0.848199
[127] eval-auc:0.704382 train-auc:0.8483
[128] eval-auc:0.704773 train-auc:0.849662
[129] eval-auc:0.704417 train-auc:0.850705
[130] eval-auc:0.704262 train-auc:0.851572
[131] eval-auc:0.704062 train-auc:0.851746
[132] eval-auc:0.704267 train-auc:0.852682
[133] eval-auc:0.704207 train-auc:0.853165
[134] eval-auc:0.704799 train-auc:0.853699
[135] eval-auc:0.704476 train-auc:0.854369
[136] eval-auc:0.704205 train-auc:0.854618
[137] eval-auc:0.704805 train-auc:0.857404
[138] eval-auc:0.704606 train-auc:0.857824
[139] eval-auc:0.704455 train-auc:0.858116
[140] eval-auc:0.705136 train-auc:0.858891
[141] eval-auc:0.705206 train-auc:0.859155
[142] eval-auc:0.705049 train-auc:0.859295
[143] eval-auc:0.70516 train-auc:0.859713
[144] eval-auc:0.705538 train-auc:0.85999
[145] eval-auc:0.705212 train-auc:0.860594
[146] eval-auc:0.705128 train-auc:0.861171
[147] eval-auc:0.704589 train-auc:0.861328
[148] eval-auc:0.705099 train-auc:0.862106
[149] eval-auc:0.705474 train-auc:0.862324
[150] eval-auc:0.705393 train-auc:0.862993
[151] eval-auc:0.705408 train-auc:0.863156
[152] eval-auc:0.705999 train-auc:0.863942
[153] eval-auc:0.706398 train-auc:0.864386
[154] eval-auc:0.706285 train-auc:0.865112
[155] eval-auc:0.707371 train-auc:0.866188
[156] eval-auc:0.707823 train-auc:0.866705
[157] eval-auc:0.708216 train-auc:0.86727
[158] eval-auc:0.708289 train-auc:0.867932
[159] eval-auc:0.708046 train-auc:0.868702
[160] eval-auc:0.707969 train-auc:0.869099
[161] eval-auc:0.708195 train-auc:0.869569
[162] eval-auc:0.708043 train-auc:0.870022
[163] eval-auc:0.706106 train-auc:0.87026
[164] eval-auc:0.705696 train-auc:0.870531
[165] eval-auc:0.705911 train-auc:0.870685
[166] eval-auc:0.706853 train-auc:0.871372
[167] eval-auc:0.706894 train-auc:0.871794
[168] eval-auc:0.707133 train-auc:0.871933
[169] eval-auc:0.707427 train-auc:0.872062
[170] eval-auc:0.707348 train-auc:0.872116
[171] eval-auc:0.707021 train-auc:0.872697
[172] eval-auc:0.706971 train-auc:0.872922
[173] eval-auc:0.70682 train-auc:0.87309
[174] eval-auc:0.706547 train-auc:0.873508
[175] eval-auc:0.705975 train-auc:0.874104
[176] eval-auc:0.705845 train-auc:0.874672
[177] eval-auc:0.706167 train-auc:0.875462
[178] eval-auc:0.706054 train-auc:0.876305
[179] eval-auc:0.706482 train-auc:0.877066
[180] eval-auc:0.706686 train-auc:0.87759
[181] eval-auc:0.706605 train-auc:0.877801
[182] eval-auc:0.706465 train-auc:0.877714
[183] eval-auc:0.706639 train-auc:0.877881
[184] eval-auc:0.706704 train-auc:0.878649
[185] eval-auc:0.706404 train-auc:0.878874
[186] eval-auc:0.706198 train-auc:0.879315
[187] eval-auc:0.706016 train-auc:0.879516
[188] eval-auc:0.706252 train-auc:0.879878
[189] eval-auc:0.706307 train-auc:0.880369
[190] eval-auc:0.706677 train-auc:0.880585
[191] eval-auc:0.707121 train-auc:0.881134
[192] eval-auc:0.707161 train-auc:0.881503
[193] eval-auc:0.707578 train-auc:0.881978
[194] eval-auc:0.707609 train-auc:0.882303
[195] eval-auc:0.707662 train-auc:0.882639
[196] eval-auc:0.707475 train-auc:0.883123
[197] eval-auc:0.707644 train-auc:0.8836
[198] eval-auc:0.707322 train-auc:0.88415
[199] eval-auc:0.707362 train-auc:0.884239
[200] eval-auc:0.707554 train-auc:0.884807
[201] eval-auc:0.707704 train-auc:0.885314
[202] eval-auc:0.707368 train-auc:0.885887
[203] eval-auc:0.707205 train-auc:0.886761
[204] eval-auc:0.707435 train-auc:0.887022
[205] eval-auc:0.707459 train-auc:0.887152
[206] eval-auc:0.707747 train-auc:0.887428
[207] eval-auc:0.707456 train-auc:0.887921
[208] eval-auc:0.707744 train-auc:0.888741
[209] eval-auc:0.707289 train-auc:0.888973
[210] eval-auc:0.707307 train-auc:0.888749
[211] eval-auc:0.70694 train-auc:0.888821
[212] eval-auc:0.707063 train-auc:0.889549
[213] eval-auc:0.707015 train-auc:0.889771
[214] eval-auc:0.70734 train-auc:0.889945
[215] eval-auc:0.707459 train-auc:0.889941
[216] eval-auc:0.707773 train-auc:0.890312
[217] eval-auc:0.707337 train-auc:0.89025
[218] eval-auc:0.706853 train-auc:0.89033
[219] eval-auc:0.706491 train-auc:0.890716
[220] eval-auc:0.706724 train-auc:0.891038
[221] eval-auc:0.706939 train-auc:0.891544
[222] eval-auc:0.706963 train-auc:0.891704
[223] eval-auc:0.706485 train-auc:0.891582
[224] eval-auc:0.70638 train-auc:0.891704
[225] eval-auc:0.705704 train-auc:0.892258
[226] eval-auc:0.705598 train-auc:0.892726
[227] eval-auc:0.705366 train-auc:0.892651
[228] eval-auc:0.705898 train-auc:0.892647
[229] eval-auc:0.70587 train-auc:0.893299
[230] eval-auc:0.706386 train-auc:0.893799
[231] eval-auc:0.706645 train-auc:0.893951
[232] eval-auc:0.70696 train-auc:0.894629
[233] eval-auc:0.706972 train-auc:0.894987
[234] eval-auc:0.706459 train-auc:0.895431
[235] eval-auc:0.706725 train-auc:0.895938
[236] eval-auc:0.70708 train-auc:0.896199
[237] eval-auc:0.706532 train-auc:0.896081
[238] eval-auc:0.706115 train-auc:0.896306
[239] eval-auc:0.706692 train-auc:0.896399
[240] eval-auc:0.70713 train-auc:0.897075
[241] eval-auc:0.706932 train-auc:0.896959
[242] eval-auc:0.707222 train-auc:0.89706
[243] eval-auc:0.707424 train-auc:0.897196
[244] eval-auc:0.707418 train-auc:0.897479
[245] eval-auc:0.707552 train-auc:0.897789
[246] eval-auc:0.707933 train-auc:0.898231
[247] eval-auc:0.708068 train-auc:0.898619
[248] eval-auc:0.708332 train-auc:0.899192
[249] eval-auc:0.708423 train-auc:0.899494
[250] eval-auc:0.708346 train-auc:0.899528
[251] eval-auc:0.708629 train-auc:0.900018
[252] eval-auc:0.707854 train-auc:0.900587
[253] eval-auc:0.708518 train-auc:0.900494
[254] eval-auc:0.708351 train-auc:0.90069
[255] eval-auc:0.70853 train-auc:0.900609
[256] eval-auc:0.708656 train-auc:0.900822
[257] eval-auc:0.708473 train-auc:0.901175
[258] eval-auc:0.708431 train-auc:0.901397
[259] eval-auc:0.708356 train-auc:0.901963
[260] eval-auc:0.708766 train-auc:0.902261
[261] eval-auc:0.709017 train-auc:0.90252
[262] eval-auc:0.709453 train-auc:0.902966
[263] eval-auc:0.709034 train-auc:0.903322
[264] eval-auc:0.709529 train-auc:0.903483
[265] eval-auc:0.709606 train-auc:0.903961
[266] eval-auc:0.709029 train-auc:0.904039
[267] eval-auc:0.70888 train-auc:0.904582
[268] eval-auc:0.709311 train-auc:0.90484
[269] eval-auc:0.709612 train-auc:0.905288
[270] eval-auc:0.709472 train-auc:0.90556
[271] eval-auc:0.709312 train-auc:0.905852
[272] eval-auc:0.709204 train-auc:0.906118
[273] eval-auc:0.709413 train-auc:0.906573
[274] eval-auc:0.709421 train-auc:0.906744
[275] eval-auc:0.70964 train-auc:0.906856
[276] eval-auc:0.709322 train-auc:0.907027
[277] eval-auc:0.709014 train-auc:0.907273
[278] eval-auc:0.708889 train-auc:0.90737
[279] eval-auc:0.708929 train-auc:0.907729
[280] eval-auc:0.708987 train-auc:0.908119
[281] eval-auc:0.709131 train-auc:0.9082
Score 0.7091312477920306
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8500000000000001, 'eta': 0.225, 'eval_metric': 'auc', 'gamma': 0.8, 'max_depth': 11, 'min_child_weight': 2.0, 'n_estimators': 497.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.7000000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.680165 train-auc:0.840141
[1] eval-auc:0.656321 train-auc:0.879227
[2] eval-auc:0.670536 train-auc:0.914504
[3] eval-auc:0.673784 train-auc:0.937071
[4] eval-auc:0.67208 train-auc:0.953792
[5] eval-auc:0.67054 train-auc:0.965949
[6] eval-auc:0.675355 train-auc:0.975181
[7] eval-auc:0.675824 train-auc:0.980291
[8] eval-auc:0.675284 train-auc:0.985031
[9] eval-auc:0.674894 train-auc:0.987332
[10] eval-auc:0.681224 train-auc:0.990736
[11] eval-auc:0.677457 train-auc:0.993141
[12] eval-auc:0.675567 train-auc:0.994553
[13] eval-auc:0.679502 train-auc:0.995547
[14] eval-auc:0.677668 train-auc:0.996671
[15] eval-auc:0.674503 train-auc:0.997958
[16] eval-auc:0.672846 train-auc:0.998385
[17] eval-auc:0.678247 train-auc:0.998694
[18] eval-auc:0.674428 train-auc:0.999071
[19] eval-auc:0.680642 train-auc:0.999232
[20] eval-auc:0.678812 train-auc:0.999446
[21] eval-auc:0.680976 train-auc:0.999551
[22] eval-auc:0.679071 train-auc:0.999686
[23] eval-auc:0.676592 train-auc:0.999812
[24] eval-auc:0.677985 train-auc:0.999855
[25] eval-auc:0.67852 train-auc:0.9999
[26] eval-auc:0.677885 train-auc:0.999918
[27] eval-auc:0.676571 train-auc:0.999916
[28] eval-auc:0.678486 train-auc:0.999933
[29] eval-auc:0.677343 train-auc:0.999963
[30] eval-auc:0.675808 train-auc:0.999967
[31] eval-auc:0.675285 train-auc:0.999983
[32] eval-auc:0.675494 train-auc:0.999987
[33] eval-auc:0.675337 train-auc:0.999988
[34] eval-auc:0.674655 train-auc:0.999986
[35] eval-auc:0.675958 train-auc:0.999994
[36] eval-auc:0.674711 train-auc:0.999996
[37] eval-auc:0.674777 train-auc:0.999997
[38] eval-auc:0.673359 train-auc:0.999996
[39] eval-auc:0.674803 train-auc:0.999999
[40] eval-auc:0.674305 train-auc:0.999999
[41] eval-auc:0.673755 train-auc:0.999999
[42] eval-auc:0.674583 train-auc:1
[43] eval-auc:0.673958 train-auc:1
[44] eval-auc:0.672962 train-auc:0.999999
[45] eval-auc:0.673816 train-auc:1
[46] eval-auc:0.673074 train-auc:1
[47] eval-auc:0.672745 train-auc:1
[48] eval-auc:0.672273 train-auc:1
[49] eval-auc:0.67219 train-auc:1
[50] eval-auc:0.671754 train-auc:1
[51] eval-auc:0.671914 train-auc:1
[52] eval-auc:0.671077 train-auc:1
[53] eval-auc:0.670343 train-auc:1
[54] eval-auc:0.671218 train-auc:1
[55] eval-auc:0.669942 train-auc:1
[56] eval-auc:0.670428 train-auc:1
[57] eval-auc:0.670169 train-auc:1
[58] eval-auc:0.669947 train-auc:1
[59] eval-auc:0.669223 train-auc:1
[60] eval-auc:0.669097 train-auc:1
[61] eval-auc:0.669907 train-auc:1
[62] eval-auc:0.670356 train-auc:1
[63] eval-auc:0.673913 train-auc:1
[64] eval-auc:0.673431 train-auc:1
[65] eval-auc:0.672583 train-auc:1
[66] eval-auc:0.673565 train-auc:1
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[68] eval-auc:0.673115 train-auc:1
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[70] eval-auc:0.67247 train-auc:1
[71] eval-auc:0.671354 train-auc:1
[72] eval-auc:0.670219 train-auc:1
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[75] eval-auc:0.670285 train-auc:1
[76] eval-auc:0.6707 train-auc:1
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[78] eval-auc:0.670519 train-auc:1
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[80] eval-auc:0.67153 train-auc:1
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[90] eval-auc:0.671967 train-auc:1
[91] eval-auc:0.671775 train-auc:1
[92] eval-auc:0.671804 train-auc:1
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[95] eval-auc:0.672318 train-auc:1
[96] eval-auc:0.671346 train-auc:1
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[100] eval-auc:0.671951 train-auc:1
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[110] eval-auc:0.674784 train-auc:1
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[120] eval-auc:0.675241 train-auc:1
[121] eval-auc:0.674798 train-auc:1
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[123] eval-auc:0.674828 train-auc:1
[124] eval-auc:0.675011 train-auc:1
[125] eval-auc:0.675319 train-auc:1
[126] eval-auc:0.674152 train-auc:1
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[128] eval-auc:0.674857 train-auc:1
[129] eval-auc:0.674743 train-auc:1
[130] eval-auc:0.674529 train-auc:1
[131] eval-auc:0.67467 train-auc:1
[132] eval-auc:0.674602 train-auc:1
[133] eval-auc:0.674914 train-auc:1
[134] eval-auc:0.673996 train-auc:1
[135] eval-auc:0.67406 train-auc:1
[136] eval-auc:0.67363 train-auc:1
[137] eval-auc:0.67342 train-auc:1
[138] eval-auc:0.673408 train-auc:1
[139] eval-auc:0.673376 train-auc:1
[140] eval-auc:0.673638 train-auc:1
[141] eval-auc:0.673971 train-auc:1
[142] eval-auc:0.674293 train-auc:1
[143] eval-auc:0.674457 train-auc:1
[144] eval-auc:0.674495 train-auc:1
[145] eval-auc:0.674105 train-auc:1
[146] eval-auc:0.673874 train-auc:1
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[148] eval-auc:0.674306 train-auc:1
[149] eval-auc:0.673679 train-auc:1
[150] eval-auc:0.673642 train-auc:1
[151] eval-auc:0.67374 train-auc:1
[152] eval-auc:0.673918 train-auc:1
[153] eval-auc:0.673376 train-auc:1
[154] eval-auc:0.673548 train-auc:1
[155] eval-auc:0.673102 train-auc:1
[156] eval-auc:0.672965 train-auc:1
[157] eval-auc:0.672965 train-auc:1
[158] eval-auc:0.672989 train-auc:1
[159] eval-auc:0.673067 train-auc:1
[160] eval-auc:0.673249 train-auc:1
[161] eval-auc:0.673705 train-auc:1
[162] eval-auc:0.673543 train-auc:1
[163] eval-auc:0.673397 train-auc:1
[164] eval-auc:0.673053 train-auc:1
[165] eval-auc:0.673164 train-auc:1
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[168] eval-auc:0.674018 train-auc:1
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[170] eval-auc:0.67375 train-auc:1
[171] eval-auc:0.673292 train-auc:1
[172] eval-auc:0.672633 train-auc:1
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[174] eval-auc:0.672589 train-auc:1
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[179] eval-auc:0.672589 train-auc:1
[180] eval-auc:0.672589 train-auc:1
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[182] eval-auc:0.672822 train-auc:1
[183] eval-auc:0.672663 train-auc:1
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[186] eval-auc:0.672584 train-auc:1
[187] eval-auc:0.672587 train-auc:1
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[190] eval-auc:0.674883 train-auc:1
[191] eval-auc:0.674874 train-auc:1
[192] eval-auc:0.674874 train-auc:1
[193] eval-auc:0.675132 train-auc:1
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[201] eval-auc:0.674222 train-auc:1
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[203] eval-auc:0.674442 train-auc:1
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[310] eval-auc:0.671075 train-auc:1
[311] eval-auc:0.671075 train-auc:1
[312] eval-auc:0.671075 train-auc:1
[313] eval-auc:0.671075 train-auc:1
[314] eval-auc:0.67078 train-auc:1
[315] eval-auc:0.67078 train-auc:1
[316] eval-auc:0.67078 train-auc:1
[317] eval-auc:0.67078 train-auc:1
[318] eval-auc:0.67078 train-auc:1
[319] eval-auc:0.67078 train-auc:1
[320] eval-auc:0.67078 train-auc:1
[321] eval-auc:0.670781 train-auc:1
[322] eval-auc:0.670781 train-auc:1
[323] eval-auc:0.670781 train-auc:1
[324] eval-auc:0.671038 train-auc:1
[325] eval-auc:0.670799 train-auc:1
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[327] eval-auc:0.670303 train-auc:1
[328] eval-auc:0.670303 train-auc:1
[329] eval-auc:0.6703 train-auc:1
[330] eval-auc:0.6703 train-auc:1
[331] eval-auc:0.6703 train-auc:1
[332] eval-auc:0.67016 train-auc:1
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[334] eval-auc:0.670265 train-auc:1
[335] eval-auc:0.670105 train-auc:1
[336] eval-auc:0.670125 train-auc:1
[337] eval-auc:0.670286 train-auc:1
[338] eval-auc:0.670286 train-auc:1
[339] eval-auc:0.670224 train-auc:1
[340] eval-auc:0.670224 train-auc:1
[341] eval-auc:0.670041 train-auc:1
[342] eval-auc:0.671159 train-auc:1
[343] eval-auc:0.671159 train-auc:1
[344] eval-auc:0.671159 train-auc:1
[345] eval-auc:0.670862 train-auc:1
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[348] eval-auc:0.671204 train-auc:1
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[350] eval-auc:0.671157 train-auc:1
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[357] eval-auc:0.67106 train-auc:1
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[360] eval-auc:0.671035 train-auc:1
[361] eval-auc:0.670548 train-auc:1
[362] eval-auc:0.670513 train-auc:1
[363] eval-auc:0.670513 train-auc:1
[364] eval-auc:0.670513 train-auc:1
[365] eval-auc:0.670734 train-auc:1
[366] eval-auc:0.670734 train-auc:1
[367] eval-auc:0.670636 train-auc:1
[368] eval-auc:0.670636 train-auc:1
[369] eval-auc:0.670636 train-auc:1
[370] eval-auc:0.670636 train-auc:1
[371] eval-auc:0.670717 train-auc:1
[372] eval-auc:0.670717 train-auc:1
[373] eval-auc:0.670717 train-auc:1
[374] eval-auc:0.671089 train-auc:1
[375] eval-auc:0.671089 train-auc:1
[376] eval-auc:0.671089 train-auc:1
[377] eval-auc:0.671156 train-auc:1
[378] eval-auc:0.671156 train-auc:1
[379] eval-auc:0.6713 train-auc:1
[380] eval-auc:0.6713 train-auc:1
[381] eval-auc:0.671186 train-auc:1
[382] eval-auc:0.671194 train-auc:1
[383] eval-auc:0.671194 train-auc:1
[384] eval-auc:0.671023 train-auc:1
[385] eval-auc:0.671023 train-auc:1
[386] eval-auc:0.671023 train-auc:1
[387] eval-auc:0.671023 train-auc:1
[388] eval-auc:0.671023 train-auc:1
[389] eval-auc:0.671023 train-auc:1
[390] eval-auc:0.671023 train-auc:1
[391] eval-auc:0.671023 train-auc:1
[392] eval-auc:0.671023 train-auc:1
[393] eval-auc:0.671023 train-auc:1
[394] eval-auc:0.671055 train-auc:1
[395] eval-auc:0.671055 train-auc:1
[396] eval-auc:0.671055 train-auc:1
[397] eval-auc:0.670694 train-auc:1
[398] eval-auc:0.670484 train-auc:1
[399] eval-auc:0.670601 train-auc:1
[400] eval-auc:0.670601 train-auc:1
[401] eval-auc:0.670601 train-auc:1
[402] eval-auc:0.670601 train-auc:1
[403] eval-auc:0.670841 train-auc:1
[404] eval-auc:0.67063 train-auc:1
[405] eval-auc:0.67063 train-auc:1
[406] eval-auc:0.67063 train-auc:1
[407] eval-auc:0.67074 train-auc:1
[408] eval-auc:0.67074 train-auc:1
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[410] eval-auc:0.67065 train-auc:1
[411] eval-auc:0.670626 train-auc:1
[412] eval-auc:0.670626 train-auc:1
[413] eval-auc:0.670626 train-auc:1
[414] eval-auc:0.670612 train-auc:1
[415] eval-auc:0.671119 train-auc:1
[416] eval-auc:0.671069 train-auc:1
[417] eval-auc:0.671069 train-auc:1
[418] eval-auc:0.671069 train-auc:1
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[420] eval-auc:0.671069 train-auc:1
[421] eval-auc:0.671378 train-auc:1
[422] eval-auc:0.671378 train-auc:1
[423] eval-auc:0.671378 train-auc:1
[424] eval-auc:0.671664 train-auc:1
[425] eval-auc:0.671746 train-auc:1
[426] eval-auc:0.671746 train-auc:1
[427] eval-auc:0.671746 train-auc:1
[428] eval-auc:0.67218 train-auc:1
[429] eval-auc:0.67218 train-auc:1
[430] eval-auc:0.67218 train-auc:1
[431] eval-auc:0.67218 train-auc:1
[432] eval-auc:0.67218 train-auc:1
[433] eval-auc:0.672068 train-auc:1
[434] eval-auc:0.672068 train-auc:1
[435] eval-auc:0.672068 train-auc:1
[436] eval-auc:0.672068 train-auc:1
[437] eval-auc:0.672068 train-auc:1
[438] eval-auc:0.672068 train-auc:1
[439] eval-auc:0.672068 train-auc:1
[440] eval-auc:0.672068 train-auc:1
[441] eval-auc:0.672068 train-auc:1
[442] eval-auc:0.672068 train-auc:1
[443] eval-auc:0.672263 train-auc:1
[444] eval-auc:0.672263 train-auc:1
[445] eval-auc:0.672263 train-auc:1
[446] eval-auc:0.672386 train-auc:1
[447] eval-auc:0.672386 train-auc:1
[448] eval-auc:0.672654 train-auc:1
[449] eval-auc:0.672654 train-auc:1
[450] eval-auc:0.672654 train-auc:1
[451] eval-auc:0.672654 train-auc:1
[452] eval-auc:0.672654 train-auc:1
[453] eval-auc:0.672654 train-auc:1
[454] eval-auc:0.672694 train-auc:1
[455] eval-auc:0.672694 train-auc:1
[456] eval-auc:0.672694 train-auc:1
[457] eval-auc:0.672694 train-auc:1
[458] eval-auc:0.672694 train-auc:1
[459] eval-auc:0.672694 train-auc:1
[460] eval-auc:0.672462 train-auc:1
[461] eval-auc:0.672462 train-auc:1
[462] eval-auc:0.672462 train-auc:1
[463] eval-auc:0.672164 train-auc:1
[464] eval-auc:0.672164 train-auc:1
[465] eval-auc:0.672164 train-auc:1
[466] eval-auc:0.672113 train-auc:1
[467] eval-auc:0.672147 train-auc:1
[468] eval-auc:0.672147 train-auc:1
[469] eval-auc:0.672147 train-auc:1
[470] eval-auc:0.672324 train-auc:1
[471] eval-auc:0.672324 train-auc:1
[472] eval-auc:0.672324 train-auc:1
[473] eval-auc:0.672324 train-auc:1
[474] eval-auc:0.672324 train-auc:1
[475] eval-auc:0.672324 train-auc:1
[476] eval-auc:0.672324 train-auc:1
[477] eval-auc:0.672324 train-auc:1
[478] eval-auc:0.672324 train-auc:1
[479] eval-auc:0.672324 train-auc:1
[480] eval-auc:0.672324 train-auc:1
[481] eval-auc:0.672324 train-auc:1
[482] eval-auc:0.672324 train-auc:1
[483] eval-auc:0.672324 train-auc:1
[484] eval-auc:0.672324 train-auc:1
[485] eval-auc:0.672324 train-auc:1
[486] eval-auc:0.672324 train-auc:1
[487] eval-auc:0.672324 train-auc:1
[488] eval-auc:0.672249 train-auc:1
[489] eval-auc:0.672249 train-auc:1
[490] eval-auc:0.672487 train-auc:1
[491] eval-auc:0.672482 train-auc:1
[492] eval-auc:0.67235 train-auc:1
[493] eval-auc:0.67235 train-auc:1
[494] eval-auc:0.67235 train-auc:1
[495] eval-auc:0.67235 train-auc:1
[496] eval-auc:0.67235 train-auc:1
Score 0.6723495230786097
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8, 'eta': 0.1, 'eval_metric': 'auc', 'gamma': 0.75, 'max_depth': 3, 'min_child_weight': 1.0, 'n_estimators': 543.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.702485 train-auc:0.723761
[1] eval-auc:0.684266 train-auc:0.727677
[2] eval-auc:0.689358 train-auc:0.73567
[3] eval-auc:0.69886 train-auc:0.73192
[4] eval-auc:0.698239 train-auc:0.731555
[5] eval-auc:0.703109 train-auc:0.737844
[6] eval-auc:0.705363 train-auc:0.741043
[7] eval-auc:0.707702 train-auc:0.747347
[8] eval-auc:0.700179 train-auc:0.750669
[9] eval-auc:0.69997 train-auc:0.751066
[10] eval-auc:0.702514 train-auc:0.755057
[11] eval-auc:0.700144 train-auc:0.754888
[12] eval-auc:0.701055 train-auc:0.756004
[13] eval-auc:0.700229 train-auc:0.754387
[14] eval-auc:0.70065 train-auc:0.755384
[15] eval-auc:0.700734 train-auc:0.759579
[16] eval-auc:0.70097 train-auc:0.757425
[17] eval-auc:0.698934 train-auc:0.762946
[18] eval-auc:0.698953 train-auc:0.764825
[19] eval-auc:0.699042 train-auc:0.76876
[20] eval-auc:0.698934 train-auc:0.771839
[21] eval-auc:0.696266 train-auc:0.775462
[22] eval-auc:0.696823 train-auc:0.777602
[23] eval-auc:0.696623 train-auc:0.780459
[24] eval-auc:0.697156 train-auc:0.780788
[25] eval-auc:0.699138 train-auc:0.783424
[26] eval-auc:0.699143 train-auc:0.785364
[27] eval-auc:0.701545 train-auc:0.788935
[28] eval-auc:0.701663 train-auc:0.788715
[29] eval-auc:0.701634 train-auc:0.790441
[30] eval-auc:0.702478 train-auc:0.792527
[31] eval-auc:0.702226 train-auc:0.793539
[32] eval-auc:0.703146 train-auc:0.793534
[33] eval-auc:0.70337 train-auc:0.793956
[34] eval-auc:0.702883 train-auc:0.797074
[35] eval-auc:0.70171 train-auc:0.798786
[36] eval-auc:0.702122 train-auc:0.799851
[37] eval-auc:0.702625 train-auc:0.802611
[38] eval-auc:0.702803 train-auc:0.802696
[39] eval-auc:0.702959 train-auc:0.804013
[40] eval-auc:0.703681 train-auc:0.805265
[41] eval-auc:0.703775 train-auc:0.805588
[42] eval-auc:0.703566 train-auc:0.8055
[43] eval-auc:0.703625 train-auc:0.807296
[44] eval-auc:0.70429 train-auc:0.810211
[45] eval-auc:0.703976 train-auc:0.811044
[46] eval-auc:0.703988 train-auc:0.811077
[47] eval-auc:0.703727 train-auc:0.811922
[48] eval-auc:0.70266 train-auc:0.813391
[49] eval-auc:0.703719 train-auc:0.81506
[50] eval-auc:0.702726 train-auc:0.81688
[51] eval-auc:0.702939 train-auc:0.817804
[52] eval-auc:0.704922 train-auc:0.818276
[53] eval-auc:0.705078 train-auc:0.81839
[54] eval-auc:0.705177 train-auc:0.817999
[55] eval-auc:0.706234 train-auc:0.819573
[56] eval-auc:0.706383 train-auc:0.8196
[57] eval-auc:0.707017 train-auc:0.823681
[58] eval-auc:0.707126 train-auc:0.824331
[59] eval-auc:0.709108 train-auc:0.827053
[60] eval-auc:0.708649 train-auc:0.828089
[61] eval-auc:0.708119 train-auc:0.82859
[62] eval-auc:0.707213 train-auc:0.829683
[63] eval-auc:0.708769 train-auc:0.832465
[64] eval-auc:0.708699 train-auc:0.83328
[65] eval-auc:0.708793 train-auc:0.83338
[66] eval-auc:0.708493 train-auc:0.835178
[67] eval-auc:0.708179 train-auc:0.836064
[68] eval-auc:0.706787 train-auc:0.83771
[69] eval-auc:0.706837 train-auc:0.838976
[70] eval-auc:0.70702 train-auc:0.840227
[71] eval-auc:0.706796 train-auc:0.840514
[72] eval-auc:0.707752 train-auc:0.84172
[73] eval-auc:0.707223 train-auc:0.841769
[74] eval-auc:0.706106 train-auc:0.842462
[75] eval-auc:0.706463 train-auc:0.844088
[76] eval-auc:0.707024 train-auc:0.844766
[77] eval-auc:0.706845 train-auc:0.846281
[78] eval-auc:0.706785 train-auc:0.84701
[79] eval-auc:0.7068 train-auc:0.848314
[80] eval-auc:0.706736 train-auc:0.848717
[81] eval-auc:0.707449 train-auc:0.850235
[82] eval-auc:0.706568 train-auc:0.851464
[83] eval-auc:0.707394 train-auc:0.852201
[84] eval-auc:0.707426 train-auc:0.852369
[85] eval-auc:0.707852 train-auc:0.852682
[86] eval-auc:0.70831 train-auc:0.853747
[87] eval-auc:0.708481 train-auc:0.855308
[88] eval-auc:0.707164 train-auc:0.856532
[89] eval-auc:0.707965 train-auc:0.858102
[90] eval-auc:0.70798 train-auc:0.858223
[91] eval-auc:0.708161 train-auc:0.85884
[92] eval-auc:0.707292 train-auc:0.859493
[93] eval-auc:0.70775 train-auc:0.860842
[94] eval-auc:0.707605 train-auc:0.861517
[95] eval-auc:0.707196 train-auc:0.862025
[96] eval-auc:0.7069 train-auc:0.862726
[97] eval-auc:0.706699 train-auc:0.863165
[98] eval-auc:0.70666 train-auc:0.864034
[99] eval-auc:0.70705 train-auc:0.864737
[100] eval-auc:0.70768 train-auc:0.86545
[101] eval-auc:0.70698 train-auc:0.865891
[102] eval-auc:0.707484 train-auc:0.866754
[103] eval-auc:0.708081 train-auc:0.868052
[104] eval-auc:0.707351 train-auc:0.868522
[105] eval-auc:0.707453 train-auc:0.868491
[106] eval-auc:0.707013 train-auc:0.868961
[107] eval-auc:0.707813 train-auc:0.869613
[108] eval-auc:0.70782 train-auc:0.869664
[109] eval-auc:0.707426 train-auc:0.870418
[110] eval-auc:0.708004 train-auc:0.871314
[111] eval-auc:0.709103 train-auc:0.871865
[112] eval-auc:0.709702 train-auc:0.87266
[113] eval-auc:0.709316 train-auc:0.873155
[114] eval-auc:0.708636 train-auc:0.873433
[115] eval-auc:0.707812 train-auc:0.873802
[116] eval-auc:0.707631 train-auc:0.873917
[117] eval-auc:0.707641 train-auc:0.873956
[118] eval-auc:0.707653 train-auc:0.873976
[119] eval-auc:0.707868 train-auc:0.874475
[120] eval-auc:0.70788 train-auc:0.874519
[121] eval-auc:0.708167 train-auc:0.874982
[122] eval-auc:0.708322 train-auc:0.875173
[123] eval-auc:0.708935 train-auc:0.876199
[124] eval-auc:0.708622 train-auc:0.876595
[125] eval-auc:0.708591 train-auc:0.877356
[126] eval-auc:0.708084 train-auc:0.878571
[127] eval-auc:0.70809 train-auc:0.878579
[128] eval-auc:0.707797 train-auc:0.878553
[129] eval-auc:0.708137 train-auc:0.879315
[130] eval-auc:0.70794 train-auc:0.87933
[131] eval-auc:0.708144 train-auc:0.880002
[132] eval-auc:0.707843 train-auc:0.880704
[133] eval-auc:0.707921 train-auc:0.881004
[134] eval-auc:0.708128 train-auc:0.881825
[135] eval-auc:0.708597 train-auc:0.881934
[136] eval-auc:0.707921 train-auc:0.882489
[137] eval-auc:0.707406 train-auc:0.882792
[138] eval-auc:0.706934 train-auc:0.88296
[139] eval-auc:0.706552 train-auc:0.884305
[140] eval-auc:0.706422 train-auc:0.884761
[141] eval-auc:0.707353 train-auc:0.885766
[142] eval-auc:0.707309 train-auc:0.886343
[143] eval-auc:0.708046 train-auc:0.886948
[144] eval-auc:0.708257 train-auc:0.887173
[145] eval-auc:0.708559 train-auc:0.887347
[146] eval-auc:0.708724 train-auc:0.887565
[147] eval-auc:0.708736 train-auc:0.88759
[148] eval-auc:0.708743 train-auc:0.888248
[149] eval-auc:0.708604 train-auc:0.888341
[150] eval-auc:0.708522 train-auc:0.888578
[151] eval-auc:0.708352 train-auc:0.888761
[152] eval-auc:0.707907 train-auc:0.889053
[153] eval-auc:0.707701 train-auc:0.889326
[154] eval-auc:0.70745 train-auc:0.889477
[155] eval-auc:0.707765 train-auc:0.889759
[156] eval-auc:0.708015 train-auc:0.890148
[157] eval-auc:0.708004 train-auc:0.890586
[158] eval-auc:0.708105 train-auc:0.891302
[159] eval-auc:0.708111 train-auc:0.891688
[160] eval-auc:0.707922 train-auc:0.89203
[161] eval-auc:0.708269 train-auc:0.892549
[162] eval-auc:0.708473 train-auc:0.893398
[163] eval-auc:0.708315 train-auc:0.893765
[164] eval-auc:0.708696 train-auc:0.894007
[165] eval-auc:0.708881 train-auc:0.89408
[166] eval-auc:0.708725 train-auc:0.8942
[167] eval-auc:0.708163 train-auc:0.894361
[168] eval-auc:0.708863 train-auc:0.894848
[169] eval-auc:0.708376 train-auc:0.894995
[170] eval-auc:0.708448 train-auc:0.89596
[171] eval-auc:0.708257 train-auc:0.896242
[172] eval-auc:0.708154 train-auc:0.896345
[173] eval-auc:0.707283 train-auc:0.897029
[174] eval-auc:0.707121 train-auc:0.897109
[175] eval-auc:0.706267 train-auc:0.897474
[176] eval-auc:0.706279 train-auc:0.897481
[177] eval-auc:0.70684 train-auc:0.898141
[178] eval-auc:0.707063 train-auc:0.8983
[179] eval-auc:0.707076 train-auc:0.898303
[180] eval-auc:0.707127 train-auc:0.898369
[181] eval-auc:0.706681 train-auc:0.899443
[182] eval-auc:0.706323 train-auc:0.899782
[183] eval-auc:0.706687 train-auc:0.901141
[184] eval-auc:0.706716 train-auc:0.901376
[185] eval-auc:0.706626 train-auc:0.902102
[186] eval-auc:0.706007 train-auc:0.902394
[187] eval-auc:0.705509 train-auc:0.902907
[188] eval-auc:0.704774 train-auc:0.903316
[189] eval-auc:0.705595 train-auc:0.903721
[190] eval-auc:0.70523 train-auc:0.903753
[191] eval-auc:0.705483 train-auc:0.904113
[192] eval-auc:0.70548 train-auc:0.904266
[193] eval-auc:0.705188 train-auc:0.904491
[194] eval-auc:0.705509 train-auc:0.904457
[195] eval-auc:0.704877 train-auc:0.904584
[196] eval-auc:0.704998 train-auc:0.905164
[197] eval-auc:0.704744 train-auc:0.905617
[198] eval-auc:0.704892 train-auc:0.905703
[199] eval-auc:0.704816 train-auc:0.905992
[200] eval-auc:0.705052 train-auc:0.906375
[201] eval-auc:0.705349 train-auc:0.906886
[202] eval-auc:0.70539 train-auc:0.907073
[203] eval-auc:0.705168 train-auc:0.90705
[204] eval-auc:0.705241 train-auc:0.907179
[205] eval-auc:0.705161 train-auc:0.907894
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[270] eval-auc:0.701469 train-auc:0.929754
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[280] eval-auc:0.701731 train-auc:0.931706
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[282] eval-auc:0.701451 train-auc:0.932139
[283] eval-auc:0.702038 train-auc:0.932299
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[286] eval-auc:0.70248 train-auc:0.932792
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[290] eval-auc:0.702073 train-auc:0.933981
[291] eval-auc:0.701897 train-auc:0.934201
[292] eval-auc:0.701688 train-auc:0.934544
[293] eval-auc:0.701484 train-auc:0.935036
[294] eval-auc:0.701274 train-auc:0.935129
[295] eval-auc:0.701518 train-auc:0.935475
[296] eval-auc:0.701612 train-auc:0.935729
[297] eval-auc:0.701492 train-auc:0.936033
[298] eval-auc:0.701505 train-auc:0.936184
[299] eval-auc:0.701461 train-auc:0.936211
[300] eval-auc:0.701271 train-auc:0.93644
[301] eval-auc:0.701327 train-auc:0.936852
[302] eval-auc:0.700921 train-auc:0.937427
[303] eval-auc:0.701087 train-auc:0.938006
[304] eval-auc:0.700951 train-auc:0.938054
[305] eval-auc:0.700878 train-auc:0.938436
[306] eval-auc:0.70058 train-auc:0.938817
[307] eval-auc:0.700608 train-auc:0.938882
[308] eval-auc:0.700847 train-auc:0.939595
[309] eval-auc:0.700963 train-auc:0.939995
[310] eval-auc:0.701128 train-auc:0.940129
[311] eval-auc:0.701215 train-auc:0.940242
[312] eval-auc:0.701211 train-auc:0.940243
[313] eval-auc:0.701473 train-auc:0.940583
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[320] eval-auc:0.701737 train-auc:0.942257
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[323] eval-auc:0.70184 train-auc:0.943417
[324] eval-auc:0.701913 train-auc:0.943812
[325] eval-auc:0.701872 train-auc:0.943911
[326] eval-auc:0.701318 train-auc:0.944188
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[330] eval-auc:0.701769 train-auc:0.944643
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[332] eval-auc:0.701702 train-auc:0.945173
[333] eval-auc:0.701629 train-auc:0.945233
[334] eval-auc:0.701423 train-auc:0.945265
[335] eval-auc:0.701224 train-auc:0.945482
[336] eval-auc:0.701108 train-auc:0.945879
[337] eval-auc:0.701113 train-auc:0.946015
[338] eval-auc:0.701205 train-auc:0.946287
[339] eval-auc:0.700895 train-auc:0.946672
[340] eval-auc:0.7008 train-auc:0.946894
[341] eval-auc:0.700538 train-auc:0.946962
[342] eval-auc:0.70052 train-auc:0.947059
[343] eval-auc:0.700704 train-auc:0.94715
[344] eval-auc:0.70072 train-auc:0.947153
[345] eval-auc:0.700849 train-auc:0.947192
[346] eval-auc:0.700881 train-auc:0.94715
[347] eval-auc:0.700742 train-auc:0.947256
[348] eval-auc:0.700797 train-auc:0.947465
[349] eval-auc:0.701213 train-auc:0.947751
[350] eval-auc:0.701039 train-auc:0.947999
[351] eval-auc:0.700771 train-auc:0.948049
[352] eval-auc:0.700782 train-auc:0.948241
[353] eval-auc:0.700845 train-auc:0.948447
[354] eval-auc:0.701583 train-auc:0.948832
[355] eval-auc:0.701658 train-auc:0.94887
[356] eval-auc:0.701907 train-auc:0.94902
[357] eval-auc:0.702054 train-auc:0.949172
[358] eval-auc:0.702128 train-auc:0.949249
[359] eval-auc:0.702051 train-auc:0.949454
[360] eval-auc:0.701872 train-auc:0.94988
[361] eval-auc:0.701449 train-auc:0.949933
[362] eval-auc:0.701355 train-auc:0.949985
[363] eval-auc:0.701474 train-auc:0.950084
[364] eval-auc:0.701446 train-auc:0.950129
[365] eval-auc:0.701804 train-auc:0.950202
[366] eval-auc:0.701058 train-auc:0.950458
[367] eval-auc:0.701122 train-auc:0.950465
[368] eval-auc:0.701215 train-auc:0.950794
[369] eval-auc:0.701038 train-auc:0.950978
[370] eval-auc:0.701709 train-auc:0.95121
[371] eval-auc:0.701743 train-auc:0.951336
[372] eval-auc:0.701522 train-auc:0.951322
[373] eval-auc:0.701518 train-auc:0.95137
[374] eval-auc:0.701406 train-auc:0.951784
[375] eval-auc:0.701464 train-auc:0.951804
[376] eval-auc:0.701585 train-auc:0.952081
[377] eval-auc:0.701463 train-auc:0.952102
[378] eval-auc:0.701111 train-auc:0.952384
[379] eval-auc:0.701183 train-auc:0.95259
[380] eval-auc:0.701362 train-auc:0.952795
[381] eval-auc:0.701228 train-auc:0.952887
[382] eval-auc:0.70126 train-auc:0.953095
[383] eval-auc:0.701324 train-auc:0.953124
[384] eval-auc:0.701374 train-auc:0.95311
[385] eval-auc:0.701184 train-auc:0.953335
[386] eval-auc:0.701042 train-auc:0.953549
[387] eval-auc:0.701199 train-auc:0.953603
[388] eval-auc:0.701531 train-auc:0.95384
[389] eval-auc:0.701518 train-auc:0.954117
[390] eval-auc:0.701685 train-auc:0.954233
[391] eval-auc:0.701945 train-auc:0.954314
[392] eval-auc:0.701769 train-auc:0.954485
[393] eval-auc:0.701913 train-auc:0.954507
[394] eval-auc:0.702136 train-auc:0.954594
[395] eval-auc:0.701845 train-auc:0.95475
[396] eval-auc:0.701667 train-auc:0.954742
[397] eval-auc:0.7013 train-auc:0.955007
[398] eval-auc:0.701166 train-auc:0.955095
[399] eval-auc:0.701306 train-auc:0.955274
[400] eval-auc:0.701336 train-auc:0.955397
[401] eval-auc:0.701487 train-auc:0.955419
[402] eval-auc:0.70186 train-auc:0.955518
[403] eval-auc:0.701684 train-auc:0.955667
[404] eval-auc:0.701738 train-auc:0.955667
[405] eval-auc:0.702025 train-auc:0.955773
[406] eval-auc:0.70215 train-auc:0.955839
[407] eval-auc:0.702143 train-auc:0.956001
[408] eval-auc:0.702341 train-auc:0.956359
[409] eval-auc:0.70246 train-auc:0.956382
[410] eval-auc:0.702629 train-auc:0.956695
[411] eval-auc:0.702705 train-auc:0.957087
[412] eval-auc:0.702911 train-auc:0.95714
[413] eval-auc:0.703171 train-auc:0.957445
[414] eval-auc:0.703263 train-auc:0.957528
[415] eval-auc:0.703278 train-auc:0.957553
[416] eval-auc:0.703339 train-auc:0.957672
[417] eval-auc:0.703072 train-auc:0.957749
[418] eval-auc:0.703071 train-auc:0.957825
[419] eval-auc:0.703365 train-auc:0.957924
[420] eval-auc:0.703721 train-auc:0.958023
[421] eval-auc:0.70363 train-auc:0.958164
[422] eval-auc:0.703946 train-auc:0.958446
[423] eval-auc:0.704071 train-auc:0.95851
[424] eval-auc:0.704231 train-auc:0.958541
[425] eval-auc:0.704054 train-auc:0.958748
[426] eval-auc:0.703943 train-auc:0.958797
[427] eval-auc:0.703872 train-auc:0.9588
[428] eval-auc:0.703593 train-auc:0.958987
[429] eval-auc:0.703537 train-auc:0.95903
[430] eval-auc:0.703482 train-auc:0.959347
[431] eval-auc:0.703378 train-auc:0.959349
[432] eval-auc:0.703359 train-auc:0.959413
[433] eval-auc:0.703112 train-auc:0.959498
[434] eval-auc:0.703304 train-auc:0.959681
[435] eval-auc:0.703025 train-auc:0.95984
[436] eval-auc:0.702856 train-auc:0.959982
[437] eval-auc:0.70295 train-auc:0.959976
[438] eval-auc:0.702827 train-auc:0.959967
[439] eval-auc:0.702629 train-auc:0.96007
[440] eval-auc:0.702935 train-auc:0.960246
[441] eval-auc:0.702823 train-auc:0.960378
[442] eval-auc:0.702742 train-auc:0.960565
[443] eval-auc:0.702361 train-auc:0.960665
[444] eval-auc:0.702271 train-auc:0.960738
[445] eval-auc:0.702468 train-auc:0.960834
[446] eval-auc:0.702494 train-auc:0.960976
[447] eval-auc:0.702483 train-auc:0.96101
[448] eval-auc:0.702366 train-auc:0.961004
[449] eval-auc:0.702002 train-auc:0.961116
[450] eval-auc:0.702022 train-auc:0.961325
[451] eval-auc:0.701997 train-auc:0.961424
[452] eval-auc:0.701854 train-auc:0.96165
[453] eval-auc:0.701779 train-auc:0.961823
[454] eval-auc:0.701769 train-auc:0.961964
[455] eval-auc:0.701647 train-auc:0.962054
[456] eval-auc:0.701464 train-auc:0.962042
[457] eval-auc:0.701455 train-auc:0.962137
[458] eval-auc:0.70128 train-auc:0.962137
[459] eval-auc:0.701047 train-auc:0.962243
[460] eval-auc:0.701021 train-auc:0.962302
[461] eval-auc:0.701106 train-auc:0.962301
[462] eval-auc:0.70088 train-auc:0.962491
[463] eval-auc:0.701038 train-auc:0.962578
[464] eval-auc:0.701084 train-auc:0.96266
[465] eval-auc:0.70142 train-auc:0.962916
[466] eval-auc:0.700924 train-auc:0.963148
[467] eval-auc:0.700985 train-auc:0.963134
[468] eval-auc:0.701061 train-auc:0.963204
[469] eval-auc:0.701061 train-auc:0.963181
[470] eval-auc:0.701597 train-auc:0.963733
[471] eval-auc:0.701568 train-auc:0.963697
[472] eval-auc:0.701557 train-auc:0.963744
[473] eval-auc:0.701751 train-auc:0.964166
[474] eval-auc:0.701867 train-auc:0.964273
[475] eval-auc:0.701887 train-auc:0.964274
[476] eval-auc:0.701967 train-auc:0.964553
[477] eval-auc:0.701912 train-auc:0.964763
[478] eval-auc:0.701604 train-auc:0.964927
[479] eval-auc:0.701592 train-auc:0.964998
[480] eval-auc:0.701511 train-auc:0.965076
[481] eval-auc:0.701326 train-auc:0.965103
[482] eval-auc:0.701271 train-auc:0.965096
[483] eval-auc:0.701201 train-auc:0.965161
[484] eval-auc:0.701371 train-auc:0.96524
[485] eval-auc:0.701783 train-auc:0.965404
[486] eval-auc:0.70168 train-auc:0.96542
[487] eval-auc:0.701589 train-auc:0.965568
[488] eval-auc:0.701607 train-auc:0.965596
[489] eval-auc:0.7019 train-auc:0.965703
[490] eval-auc:0.701927 train-auc:0.965988
[491] eval-auc:0.702022 train-auc:0.966122
[492] eval-auc:0.702032 train-auc:0.966411
[493] eval-auc:0.702067 train-auc:0.966413
[494] eval-auc:0.702153 train-auc:0.966555
[495] eval-auc:0.702423 train-auc:0.966613
[496] eval-auc:0.702251 train-auc:0.966603
[497] eval-auc:0.70216 train-auc:0.9667
[498] eval-auc:0.702188 train-auc:0.966839
[499] eval-auc:0.701904 train-auc:0.966902
[500] eval-auc:0.701875 train-auc:0.966972
[501] eval-auc:0.701871 train-auc:0.966977
[502] eval-auc:0.701527 train-auc:0.967208
[503] eval-auc:0.701443 train-auc:0.967274
[504] eval-auc:0.701344 train-auc:0.967323
[505] eval-auc:0.701385 train-auc:0.967445
[506] eval-auc:0.701655 train-auc:0.967572
[507] eval-auc:0.701499 train-auc:0.967643
[508] eval-auc:0.701425 train-auc:0.967647
[509] eval-auc:0.701326 train-auc:0.967734
[510] eval-auc:0.701195 train-auc:0.967796
[511] eval-auc:0.70124 train-auc:0.967909
[512] eval-auc:0.701269 train-auc:0.967902
[513] eval-auc:0.70146 train-auc:0.968066
[514] eval-auc:0.7017 train-auc:0.968114
[515] eval-auc:0.7019 train-auc:0.968236
[516] eval-auc:0.701886 train-auc:0.968241
[517] eval-auc:0.701888 train-auc:0.968306
[518] eval-auc:0.701886 train-auc:0.968276
[519] eval-auc:0.701918 train-auc:0.968322
[520] eval-auc:0.701846 train-auc:0.968346
[521] eval-auc:0.701676 train-auc:0.968423
[522] eval-auc:0.701702 train-auc:0.968673
[523] eval-auc:0.701577 train-auc:0.968757
[524] eval-auc:0.701419 train-auc:0.968772
[525] eval-auc:0.701114 train-auc:0.968906
[526] eval-auc:0.701254 train-auc:0.968963
[527] eval-auc:0.701511 train-auc:0.969
[528] eval-auc:0.701449 train-auc:0.969057
[529] eval-auc:0.701277 train-auc:0.969105
[530] eval-auc:0.701289 train-auc:0.969118
[531] eval-auc:0.700893 train-auc:0.969256
[532] eval-auc:0.701071 train-auc:0.969359
[533] eval-auc:0.700943 train-auc:0.969464
[534] eval-auc:0.700878 train-auc:0.969495
[535] eval-auc:0.700919 train-auc:0.969622
[536] eval-auc:0.701055 train-auc:0.969681
[537] eval-auc:0.700845 train-auc:0.969693
[538] eval-auc:0.700691 train-auc:0.969942
[539] eval-auc:0.700851 train-auc:0.970043
[540] eval-auc:0.700733 train-auc:0.970049
[541] eval-auc:0.700604 train-auc:0.970053
[542] eval-auc:0.70005 train-auc:0.970169
Score 0.700049641243041
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8500000000000001, 'eta': 0.15000000000000002, 'eval_metric': 'auc', 'gamma': 0.5, 'max_depth': 1, 'min_child_weight': 1.0, 'n_estimators': 263.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.637627 train-auc:0.641495
[1] eval-auc:0.637627 train-auc:0.641495
[2] eval-auc:0.637627 train-auc:0.641495
[3] eval-auc:0.639239 train-auc:0.642213
[4] eval-auc:0.639239 train-auc:0.642213
[5] eval-auc:0.667391 train-auc:0.675934
[6] eval-auc:0.669347 train-auc:0.677515
[7] eval-auc:0.697144 train-auc:0.698895
[8] eval-auc:0.697144 train-auc:0.698895
[9] eval-auc:0.705553 train-auc:0.701111
[10] eval-auc:0.698591 train-auc:0.699195
[11] eval-auc:0.705553 train-auc:0.701111
[12] eval-auc:0.705553 train-auc:0.701111
[13] eval-auc:0.705553 train-auc:0.701111
[14] eval-auc:0.698591 train-auc:0.699195
[15] eval-auc:0.698591 train-auc:0.699195
[16] eval-auc:0.699905 train-auc:0.698842
[17] eval-auc:0.707849 train-auc:0.70098
[18] eval-auc:0.697467 train-auc:0.696947
[19] eval-auc:0.701056 train-auc:0.699224
[20] eval-auc:0.701044 train-auc:0.699225
[21] eval-auc:0.703627 train-auc:0.699917
[22] eval-auc:0.708651 train-auc:0.701801
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[27] eval-auc:0.701254 train-auc:0.701188
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[77] eval-auc:0.701892 train-auc:0.716037
[78] eval-auc:0.701231 train-auc:0.716078
[79] eval-auc:0.70125 train-auc:0.716416
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[81] eval-auc:0.70113 train-auc:0.716263
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[85] eval-auc:0.701608 train-auc:0.716854
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[101] eval-auc:0.702298 train-auc:0.718123
[102] eval-auc:0.70265 train-auc:0.718099
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[104] eval-auc:0.702634 train-auc:0.718326
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[109] eval-auc:0.702582 train-auc:0.718407
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[120] eval-auc:0.702905 train-auc:0.719716
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[128] eval-auc:0.70228 train-auc:0.720606
[129] eval-auc:0.702293 train-auc:0.720711
[130] eval-auc:0.702351 train-auc:0.720688
[131] eval-auc:0.702181 train-auc:0.720582
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[162] eval-auc:0.702598 train-auc:0.722334
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[164] eval-auc:0.70222 train-auc:0.722535
[165] eval-auc:0.702299 train-auc:0.722649
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[167] eval-auc:0.70224 train-auc:0.722649
[168] eval-auc:0.702353 train-auc:0.722784
[169] eval-auc:0.702587 train-auc:0.722784
[170] eval-auc:0.702344 train-auc:0.722776
[171] eval-auc:0.702469 train-auc:0.722827
[172] eval-auc:0.702516 train-auc:0.722965
[173] eval-auc:0.702555 train-auc:0.723058
[174] eval-auc:0.70235 train-auc:0.723119
[175] eval-auc:0.70221 train-auc:0.723107
[176] eval-auc:0.702035 train-auc:0.723233
[177] eval-auc:0.702135 train-auc:0.723318
[178] eval-auc:0.702004 train-auc:0.723461
[179] eval-auc:0.702657 train-auc:0.723494
[180] eval-auc:0.701374 train-auc:0.723623
[181] eval-auc:0.701477 train-auc:0.72377
[182] eval-auc:0.701668 train-auc:0.723909
[183] eval-auc:0.701398 train-auc:0.723896
[184] eval-auc:0.700969 train-auc:0.724006
[185] eval-auc:0.700634 train-auc:0.724027
[186] eval-auc:0.700244 train-auc:0.724056
[187] eval-auc:0.700707 train-auc:0.72416
[188] eval-auc:0.700731 train-auc:0.724197
[189] eval-auc:0.700824 train-auc:0.724287
[190] eval-auc:0.700422 train-auc:0.724368
[191] eval-auc:0.700487 train-auc:0.724447
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[193] eval-auc:0.700429 train-auc:0.724471
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[195] eval-auc:0.70058 train-auc:0.724559
[196] eval-auc:0.700739 train-auc:0.724595
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[198] eval-auc:0.700612 train-auc:0.724819
[199] eval-auc:0.700669 train-auc:0.724842
[200] eval-auc:0.700803 train-auc:0.724894
[201] eval-auc:0.700883 train-auc:0.724969
[202] eval-auc:0.700361 train-auc:0.72505
[203] eval-auc:0.70041 train-auc:0.725043
[204] eval-auc:0.700614 train-auc:0.725111
[205] eval-auc:0.70072 train-auc:0.725239
[206] eval-auc:0.700717 train-auc:0.725398
[207] eval-auc:0.699763 train-auc:0.725535
[208] eval-auc:0.699734 train-auc:0.725594
[209] eval-auc:0.69974 train-auc:0.725699
[210] eval-auc:0.699607 train-auc:0.725696
[211] eval-auc:0.699623 train-auc:0.72561
[212] eval-auc:0.699658 train-auc:0.725793
[213] eval-auc:0.700128 train-auc:0.725859
[214] eval-auc:0.699944 train-auc:0.725966
[215] eval-auc:0.70002 train-auc:0.726085
[216] eval-auc:0.699924 train-auc:0.726117
[217] eval-auc:0.699577 train-auc:0.726193
[218] eval-auc:0.699412 train-auc:0.726295
[219] eval-auc:0.699496 train-auc:0.726338
[220] eval-auc:0.699624 train-auc:0.726434
[221] eval-auc:0.699757 train-auc:0.726562
[222] eval-auc:0.699711 train-auc:0.726583
[223] eval-auc:0.699793 train-auc:0.726704
[224] eval-auc:0.699254 train-auc:0.72674
[225] eval-auc:0.699301 train-auc:0.726892
[226] eval-auc:0.699524 train-auc:0.727021
[227] eval-auc:0.698767 train-auc:0.726877
[228] eval-auc:0.698453 train-auc:0.726912
[229] eval-auc:0.698415 train-auc:0.727047
[230] eval-auc:0.698873 train-auc:0.727099
[231] eval-auc:0.698861 train-auc:0.727204
[232] eval-auc:0.698924 train-auc:0.727072
[233] eval-auc:0.699144 train-auc:0.727135
[234] eval-auc:0.699152 train-auc:0.727003
[235] eval-auc:0.699284 train-auc:0.727051
[236] eval-auc:0.699275 train-auc:0.727054
[237] eval-auc:0.699179 train-auc:0.727108
[238] eval-auc:0.699013 train-auc:0.727212
[239] eval-auc:0.698991 train-auc:0.727255
[240] eval-auc:0.698958 train-auc:0.727278
[241] eval-auc:0.699012 train-auc:0.727449
[242] eval-auc:0.699237 train-auc:0.727532
[243] eval-auc:0.699269 train-auc:0.727541
[244] eval-auc:0.699027 train-auc:0.727675
[245] eval-auc:0.698884 train-auc:0.727662
[246] eval-auc:0.699066 train-auc:0.727715
[247] eval-auc:0.699048 train-auc:0.72779
[248] eval-auc:0.69901 train-auc:0.727809
[249] eval-auc:0.699063 train-auc:0.727897
[250] eval-auc:0.69874 train-auc:0.72796
[251] eval-auc:0.698656 train-auc:0.728012
[252] eval-auc:0.698722 train-auc:0.728101
[253] eval-auc:0.698783 train-auc:0.728189
[254] eval-auc:0.698637 train-auc:0.728329
[255] eval-auc:0.6984 train-auc:0.728361
[256] eval-auc:0.698496 train-auc:0.728439
[257] eval-auc:0.698487 train-auc:0.728552
[258] eval-auc:0.699045 train-auc:0.728576
[259] eval-auc:0.698991 train-auc:0.728653
[260] eval-auc:0.699118 train-auc:0.728673
[261] eval-auc:0.699075 train-auc:0.728595
[262] eval-auc:0.699005 train-auc:0.728648
Score 0.699005043306655
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.7000000000000001, 'eta': 0.025, 'eval_metric': 'auc', 'gamma': 0.65, 'max_depth': 10, 'min_child_weight': 2.0, 'n_estimators': 593.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.8500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.63555 train-auc:0.819388
[1] eval-auc:0.644269 train-auc:0.881095
[2] eval-auc:0.644047 train-auc:0.921479
[3] eval-auc:0.648181 train-auc:0.941678
[4] eval-auc:0.672152 train-auc:0.955865
[5] eval-auc:0.664831 train-auc:0.96667
[6] eval-auc:0.672891 train-auc:0.972177
[7] eval-auc:0.667975 train-auc:0.974185
[8] eval-auc:0.67546 train-auc:0.979827
[9] eval-auc:0.674969 train-auc:0.982566
[10] eval-auc:0.670796 train-auc:0.986055
[11] eval-auc:0.669363 train-auc:0.986954
[12] eval-auc:0.66972 train-auc:0.98702
[13] eval-auc:0.670323 train-auc:0.987531
[14] eval-auc:0.669142 train-auc:0.988248
[15] eval-auc:0.664859 train-auc:0.989359
[16] eval-auc:0.663879 train-auc:0.989937
[17] eval-auc:0.669523 train-auc:0.991381
[18] eval-auc:0.665716 train-auc:0.991881
[19] eval-auc:0.671067 train-auc:0.992202
[20] eval-auc:0.671139 train-auc:0.993397
[21] eval-auc:0.671718 train-auc:0.993892
[22] eval-auc:0.675107 train-auc:0.994805
[23] eval-auc:0.680146 train-auc:0.99517
[24] eval-auc:0.682157 train-auc:0.995676
[25] eval-auc:0.681145 train-auc:0.996064
[26] eval-auc:0.682135 train-auc:0.996521
[27] eval-auc:0.684123 train-auc:0.996869
[28] eval-auc:0.683896 train-auc:0.996952
[29] eval-auc:0.682526 train-auc:0.997133
[30] eval-auc:0.683193 train-auc:0.997508
[31] eval-auc:0.68299 train-auc:0.997686
[32] eval-auc:0.682362 train-auc:0.997862
[33] eval-auc:0.682036 train-auc:0.997932
[34] eval-auc:0.681934 train-auc:0.998195
[35] eval-auc:0.681829 train-auc:0.99828
[36] eval-auc:0.681232 train-auc:0.998369
[37] eval-auc:0.680379 train-auc:0.998488
[38] eval-auc:0.679509 train-auc:0.998461
[39] eval-auc:0.679822 train-auc:0.998618
[40] eval-auc:0.679197 train-auc:0.99872
[41] eval-auc:0.677882 train-auc:0.998724
[42] eval-auc:0.67691 train-auc:0.998802
[43] eval-auc:0.677932 train-auc:0.998873
[44] eval-auc:0.679934 train-auc:0.99892
[45] eval-auc:0.678352 train-auc:0.998948
[46] eval-auc:0.679707 train-auc:0.998968
[47] eval-auc:0.680735 train-auc:0.998998
[48] eval-auc:0.680659 train-auc:0.999051
[49] eval-auc:0.680717 train-auc:0.99909
[50] eval-auc:0.680221 train-auc:0.999125
[51] eval-auc:0.679064 train-auc:0.999151
[52] eval-auc:0.679302 train-auc:0.99922
[53] eval-auc:0.678038 train-auc:0.999295
[54] eval-auc:0.678476 train-auc:0.999367
[55] eval-auc:0.678412 train-auc:0.999373
[56] eval-auc:0.67786 train-auc:0.999434
[57] eval-auc:0.676863 train-auc:0.999476
[58] eval-auc:0.676855 train-auc:0.999502
[59] eval-auc:0.678412 train-auc:0.999526
[60] eval-auc:0.680785 train-auc:0.999529
[61] eval-auc:0.681467 train-auc:0.999548
[62] eval-auc:0.681411 train-auc:0.999561
[63] eval-auc:0.683156 train-auc:0.999602
[64] eval-auc:0.682567 train-auc:0.999584
[65] eval-auc:0.683377 train-auc:0.999581
[66] eval-auc:0.682783 train-auc:0.9996
[67] eval-auc:0.682741 train-auc:0.999628
[68] eval-auc:0.682435 train-auc:0.999633
[69] eval-auc:0.68276 train-auc:0.999635
[70] eval-auc:0.682398 train-auc:0.999672
[71] eval-auc:0.6825 train-auc:0.999705
[72] eval-auc:0.681632 train-auc:0.999717
[73] eval-auc:0.68139 train-auc:0.999724
[74] eval-auc:0.680615 train-auc:0.999729
[75] eval-auc:0.680581 train-auc:0.999736
[76] eval-auc:0.681003 train-auc:0.999767
[77] eval-auc:0.679816 train-auc:0.99978
[78] eval-auc:0.679477 train-auc:0.999775
[79] eval-auc:0.679417 train-auc:0.999786
[80] eval-auc:0.680613 train-auc:0.999793
[81] eval-auc:0.680618 train-auc:0.999799
[82] eval-auc:0.680956 train-auc:0.999801
[83] eval-auc:0.680955 train-auc:0.999797
[84] eval-auc:0.681539 train-auc:0.999811
[85] eval-auc:0.680757 train-auc:0.999826
[86] eval-auc:0.680287 train-auc:0.999845
[87] eval-auc:0.681107 train-auc:0.999849
[88] eval-auc:0.681256 train-auc:0.999866
[89] eval-auc:0.681433 train-auc:0.999877
[90] eval-auc:0.680591 train-auc:0.999877
[91] eval-auc:0.680449 train-auc:0.999882
[92] eval-auc:0.680341 train-auc:0.999886
[93] eval-auc:0.681003 train-auc:0.999895
[94] eval-auc:0.68023 train-auc:0.999892
[95] eval-auc:0.68045 train-auc:0.999895
[96] eval-auc:0.679931 train-auc:0.9999
[97] eval-auc:0.680023 train-auc:0.999911
[98] eval-auc:0.680071 train-auc:0.999913
[99] eval-auc:0.680071 train-auc:0.999914
[100] eval-auc:0.680769 train-auc:0.999914
[101] eval-auc:0.680787 train-auc:0.999919
[102] eval-auc:0.682248 train-auc:0.999923
[103] eval-auc:0.682712 train-auc:0.999927
[104] eval-auc:0.683077 train-auc:0.999927
[105] eval-auc:0.682759 train-auc:0.999931
[106] eval-auc:0.683191 train-auc:0.999947
[107] eval-auc:0.683179 train-auc:0.999948
[108] eval-auc:0.682968 train-auc:0.999957
[109] eval-auc:0.683388 train-auc:0.999959
[110] eval-auc:0.684519 train-auc:0.999959
[111] eval-auc:0.683858 train-auc:0.999955
[112] eval-auc:0.684303 train-auc:0.999958
[113] eval-auc:0.684391 train-auc:0.99996
[114] eval-auc:0.684751 train-auc:0.99996
[115] eval-auc:0.68514 train-auc:0.99996
[116] eval-auc:0.685731 train-auc:0.999969
[117] eval-auc:0.686211 train-auc:0.999967
[118] eval-auc:0.685721 train-auc:0.999967
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[538] eval-auc:0.691282 train-auc:1
[539] eval-auc:0.691286 train-auc:1
[540] eval-auc:0.691393 train-auc:1
[541] eval-auc:0.691384 train-auc:1
[542] eval-auc:0.69132 train-auc:1
[543] eval-auc:0.691361 train-auc:1
[544] eval-auc:0.691402 train-auc:1
[545] eval-auc:0.691545 train-auc:1
[546] eval-auc:0.69151 train-auc:1
[547] eval-auc:0.691565 train-auc:1
[548] eval-auc:0.691521 train-auc:1
[549] eval-auc:0.691489 train-auc:1
[550] eval-auc:0.691337 train-auc:1
[551] eval-auc:0.691326 train-auc:1
[552] eval-auc:0.691239 train-auc:1
[553] eval-auc:0.691181 train-auc:1
[554] eval-auc:0.69132 train-auc:1
[555] eval-auc:0.691297 train-auc:1
[556] eval-auc:0.691344 train-auc:1
[557] eval-auc:0.691388 train-auc:1
[558] eval-auc:0.691214 train-auc:1
[559] eval-auc:0.691256 train-auc:1
[560] eval-auc:0.691397 train-auc:1
[561] eval-auc:0.691404 train-auc:1
[562] eval-auc:0.691425 train-auc:1
[563] eval-auc:0.691478 train-auc:1
[564] eval-auc:0.691515 train-auc:1
[565] eval-auc:0.691586 train-auc:1
[566] eval-auc:0.691594 train-auc:1
[567] eval-auc:0.691579 train-auc:1
[568] eval-auc:0.691591 train-auc:1
[569] eval-auc:0.691509 train-auc:1
[570] eval-auc:0.691498 train-auc:1
[571] eval-auc:0.691469 train-auc:1
[572] eval-auc:0.691443 train-auc:1
[573] eval-auc:0.691509 train-auc:1
[574] eval-auc:0.691507 train-auc:1
[575] eval-auc:0.691594 train-auc:1
[576] eval-auc:0.691736 train-auc:1
[577] eval-auc:0.691713 train-auc:1
[578] eval-auc:0.691726 train-auc:1
[579] eval-auc:0.691705 train-auc:1
[580] eval-auc:0.691452 train-auc:1
[581] eval-auc:0.691487 train-auc:1
[582] eval-auc:0.691682 train-auc:1
[583] eval-auc:0.691507 train-auc:1
[584] eval-auc:0.691481 train-auc:1
[585] eval-auc:0.691393 train-auc:1
[586] eval-auc:0.691227 train-auc:1
[587] eval-auc:0.691281 train-auc:1
[588] eval-auc:0.691422 train-auc:1
[589] eval-auc:0.691373 train-auc:1
[590] eval-auc:0.691586 train-auc:1
[591] eval-auc:0.691694 train-auc:1
[592] eval-auc:0.691754 train-auc:1
Score 0.691753767252616
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9, 'eta': 0.125, 'eval_metric': 'auc', 'gamma': 0.7000000000000001, 'max_depth': 8, 'min_child_weight': 1.0, 'n_estimators': 359.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.7000000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.67941 train-auc:0.794995
[1] eval-auc:0.654106 train-auc:0.82651
[2] eval-auc:0.674342 train-auc:0.856923
[3] eval-auc:0.674981 train-auc:0.876348
[4] eval-auc:0.678658 train-auc:0.89287
[5] eval-auc:0.674862 train-auc:0.905952
[6] eval-auc:0.67827 train-auc:0.913647
[7] eval-auc:0.685094 train-auc:0.919541
[8] eval-auc:0.688394 train-auc:0.929934
[9] eval-auc:0.683854 train-auc:0.938509
[10] eval-auc:0.692833 train-auc:0.946724
[11] eval-auc:0.694954 train-auc:0.951336
[12] eval-auc:0.695285 train-auc:0.956927
[13] eval-auc:0.694732 train-auc:0.959595
[14] eval-auc:0.693519 train-auc:0.964314
[15] eval-auc:0.693088 train-auc:0.968445
[16] eval-auc:0.690488 train-auc:0.971457
[17] eval-auc:0.690828 train-auc:0.973007
[18] eval-auc:0.690216 train-auc:0.974737
[19] eval-auc:0.68695 train-auc:0.97678
[20] eval-auc:0.688562 train-auc:0.978628
[21] eval-auc:0.687377 train-auc:0.980687
[22] eval-auc:0.687715 train-auc:0.981599
[23] eval-auc:0.685846 train-auc:0.983059
[24] eval-auc:0.686621 train-auc:0.985117
[25] eval-auc:0.688975 train-auc:0.986508
[26] eval-auc:0.687355 train-auc:0.987159
[27] eval-auc:0.686482 train-auc:0.988161
[28] eval-auc:0.687594 train-auc:0.988974
[29] eval-auc:0.688226 train-auc:0.989795
[30] eval-auc:0.687965 train-auc:0.990506
[31] eval-auc:0.686844 train-auc:0.99126
[32] eval-auc:0.688227 train-auc:0.992173
[33] eval-auc:0.688947 train-auc:0.992671
[34] eval-auc:0.688098 train-auc:0.993465
[35] eval-auc:0.689179 train-auc:0.993854
[36] eval-auc:0.690665 train-auc:0.993916
[37] eval-auc:0.690332 train-auc:0.99414
[38] eval-auc:0.690473 train-auc:0.994572
[39] eval-auc:0.688807 train-auc:0.994894
[40] eval-auc:0.688282 train-auc:0.995327
[41] eval-auc:0.689258 train-auc:0.995657
[42] eval-auc:0.689622 train-auc:0.996308
[43] eval-auc:0.689147 train-auc:0.99653
[44] eval-auc:0.68924 train-auc:0.997032
[45] eval-auc:0.689531 train-auc:0.997236
[46] eval-auc:0.689668 train-auc:0.997333
[47] eval-auc:0.689672 train-auc:0.99744
[48] eval-auc:0.687419 train-auc:0.997623
[49] eval-auc:0.686331 train-auc:0.997847
[50] eval-auc:0.687112 train-auc:0.998045
[51] eval-auc:0.687591 train-auc:0.9982
[52] eval-auc:0.686664 train-auc:0.99832
[53] eval-auc:0.685727 train-auc:0.998556
[54] eval-auc:0.685602 train-auc:0.998797
[55] eval-auc:0.68544 train-auc:0.998925
[56] eval-auc:0.685013 train-auc:0.999029
[57] eval-auc:0.685483 train-auc:0.999065
[58] eval-auc:0.686785 train-auc:0.99918
[59] eval-auc:0.685448 train-auc:0.999261
[60] eval-auc:0.685523 train-auc:0.999308
[61] eval-auc:0.68604 train-auc:0.999264
[62] eval-auc:0.685925 train-auc:0.999315
[63] eval-auc:0.687155 train-auc:0.999404
[64] eval-auc:0.68645 train-auc:0.999491
[65] eval-auc:0.686962 train-auc:0.999502
[66] eval-auc:0.686447 train-auc:0.99953
[67] eval-auc:0.686132 train-auc:0.999522
[68] eval-auc:0.686633 train-auc:0.999539
[69] eval-auc:0.686953 train-auc:0.999587
[70] eval-auc:0.686879 train-auc:0.99963
[71] eval-auc:0.687384 train-auc:0.999663
[72] eval-auc:0.687665 train-auc:0.999684
[73] eval-auc:0.687922 train-auc:0.999699
[74] eval-auc:0.688337 train-auc:0.999723
[75] eval-auc:0.688127 train-auc:0.999763
[76] eval-auc:0.687173 train-auc:0.999768
[77] eval-auc:0.686712 train-auc:0.99977
[78] eval-auc:0.686779 train-auc:0.999763
[79] eval-auc:0.687489 train-auc:0.99983
[80] eval-auc:0.688125 train-auc:0.999838
[81] eval-auc:0.688096 train-auc:0.999838
[82] eval-auc:0.687916 train-auc:0.999838
[83] eval-auc:0.688714 train-auc:0.999839
[84] eval-auc:0.688425 train-auc:0.999848
[85] eval-auc:0.688305 train-auc:0.999847
[86] eval-auc:0.688072 train-auc:0.999852
[87] eval-auc:0.689113 train-auc:0.999858
[88] eval-auc:0.688279 train-auc:0.999873
[89] eval-auc:0.688434 train-auc:0.999873
[90] eval-auc:0.686904 train-auc:0.999898
[91] eval-auc:0.686418 train-auc:0.999902
[92] eval-auc:0.686907 train-auc:0.999916
[93] eval-auc:0.686398 train-auc:0.999918
[94] eval-auc:0.686768 train-auc:0.999936
[95] eval-auc:0.687904 train-auc:0.999951
[96] eval-auc:0.686762 train-auc:0.999957
[97] eval-auc:0.687163 train-auc:0.999958
[98] eval-auc:0.687557 train-auc:0.999961
[99] eval-auc:0.687906 train-auc:0.999975
[100] eval-auc:0.687409 train-auc:0.999971
[101] eval-auc:0.687234 train-auc:0.999973
[102] eval-auc:0.687364 train-auc:0.999981
[103] eval-auc:0.687633 train-auc:0.999979
[104] eval-auc:0.687726 train-auc:0.999985
[105] eval-auc:0.687335 train-auc:0.999988
[106] eval-auc:0.688538 train-auc:0.999988
[107] eval-auc:0.688276 train-auc:0.999992
[108] eval-auc:0.687426 train-auc:0.999993
[109] eval-auc:0.686643 train-auc:0.999995
[110] eval-auc:0.685998 train-auc:0.999995
[111] eval-auc:0.685608 train-auc:0.999997
[112] eval-auc:0.684824 train-auc:0.999997
[113] eval-auc:0.68513 train-auc:0.999997
[114] eval-auc:0.686072 train-auc:0.999997
[115] eval-auc:0.684993 train-auc:0.999998
[116] eval-auc:0.685112 train-auc:0.999999
[117] eval-auc:0.684748 train-auc:0.999998
[118] eval-auc:0.684187 train-auc:0.999998
[119] eval-auc:0.684137 train-auc:0.999999
[120] eval-auc:0.684156 train-auc:0.999998
[121] eval-auc:0.68393 train-auc:0.999998
[122] eval-auc:0.684011 train-auc:0.999998
[123] eval-auc:0.684515 train-auc:0.999999
[124] eval-auc:0.684416 train-auc:0.999999
[125] eval-auc:0.684317 train-auc:0.999999
[126] eval-auc:0.683957 train-auc:0.999999
[127] eval-auc:0.68421 train-auc:0.999999
[128] eval-auc:0.685629 train-auc:0.999999
[129] eval-auc:0.686808 train-auc:0.999999
[130] eval-auc:0.686741 train-auc:0.999999
[131] eval-auc:0.686624 train-auc:0.999999
[132] eval-auc:0.686153 train-auc:0.999999
[133] eval-auc:0.685728 train-auc:0.999999
[134] eval-auc:0.685389 train-auc:1
[135] eval-auc:0.684952 train-auc:1
[136] eval-auc:0.684838 train-auc:1
[137] eval-auc:0.685153 train-auc:1
[138] eval-auc:0.68446 train-auc:1
[139] eval-auc:0.684711 train-auc:1
[140] eval-auc:0.684308 train-auc:1
[141] eval-auc:0.684248 train-auc:1
[142] eval-auc:0.684407 train-auc:1
[143] eval-auc:0.68435 train-auc:1
[144] eval-auc:0.684746 train-auc:1
[145] eval-auc:0.684408 train-auc:1
[146] eval-auc:0.684407 train-auc:1
[147] eval-auc:0.684032 train-auc:1
[148] eval-auc:0.684684 train-auc:1
[149] eval-auc:0.683744 train-auc:1
[150] eval-auc:0.68366 train-auc:1
[151] eval-auc:0.684186 train-auc:1
[152] eval-auc:0.684283 train-auc:1
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[154] eval-auc:0.685337 train-auc:1
[155] eval-auc:0.685868 train-auc:1
[156] eval-auc:0.685804 train-auc:1
[157] eval-auc:0.685875 train-auc:1
[158] eval-auc:0.685268 train-auc:1
[159] eval-auc:0.68582 train-auc:1
[160] eval-auc:0.685578 train-auc:1
[161] eval-auc:0.686812 train-auc:1
[162] eval-auc:0.686529 train-auc:1
[163] eval-auc:0.685935 train-auc:1
[164] eval-auc:0.685602 train-auc:1
[165] eval-auc:0.686234 train-auc:1
[166] eval-auc:0.68552 train-auc:1
[167] eval-auc:0.686098 train-auc:1
[168] eval-auc:0.686039 train-auc:1
[169] eval-auc:0.685827 train-auc:1
[170] eval-auc:0.685832 train-auc:1
[171] eval-auc:0.685329 train-auc:1
[172] eval-auc:0.685479 train-auc:1
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[174] eval-auc:0.686453 train-auc:1
[175] eval-auc:0.686298 train-auc:1
[176] eval-auc:0.68564 train-auc:1
[177] eval-auc:0.685378 train-auc:1
[178] eval-auc:0.685223 train-auc:1
[179] eval-auc:0.685678 train-auc:1
[180] eval-auc:0.685287 train-auc:1
[181] eval-auc:0.68557 train-auc:1
[182] eval-auc:0.685509 train-auc:1
[183] eval-auc:0.685874 train-auc:1
[184] eval-auc:0.685118 train-auc:1
[185] eval-auc:0.685497 train-auc:1
[186] eval-auc:0.685637 train-auc:1
[187] eval-auc:0.685188 train-auc:1
[188] eval-auc:0.685299 train-auc:1
[189] eval-auc:0.685238 train-auc:1
[190] eval-auc:0.685683 train-auc:1
[191] eval-auc:0.686132 train-auc:1
[192] eval-auc:0.685954 train-auc:1
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[195] eval-auc:0.685214 train-auc:1
[196] eval-auc:0.685363 train-auc:1
[197] eval-auc:0.685614 train-auc:1
[198] eval-auc:0.686168 train-auc:1
[199] eval-auc:0.685998 train-auc:1
[200] eval-auc:0.686117 train-auc:1
[201] eval-auc:0.686321 train-auc:1
[202] eval-auc:0.686634 train-auc:1
[203] eval-auc:0.685973 train-auc:1
[204] eval-auc:0.685925 train-auc:1
[205] eval-auc:0.686165 train-auc:1
[206] eval-auc:0.686168 train-auc:1
[207] eval-auc:0.686153 train-auc:1
[208] eval-auc:0.686121 train-auc:1
[209] eval-auc:0.686608 train-auc:1
[210] eval-auc:0.686398 train-auc:1
[211] eval-auc:0.68661 train-auc:1
[212] eval-auc:0.686721 train-auc:1
[213] eval-auc:0.686537 train-auc:1
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[218] eval-auc:0.686621 train-auc:1
[219] eval-auc:0.686653 train-auc:1
[220] eval-auc:0.686481 train-auc:1
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[246] eval-auc:0.684965 train-auc:1
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[250] eval-auc:0.685313 train-auc:1
[251] eval-auc:0.684656 train-auc:1
[252] eval-auc:0.684181 train-auc:1
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[255] eval-auc:0.68386 train-auc:1
[256] eval-auc:0.684181 train-auc:1
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[259] eval-auc:0.68456 train-auc:1
[260] eval-auc:0.684463 train-auc:1
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[265] eval-auc:0.684227 train-auc:1
[266] eval-auc:0.6844 train-auc:1
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[270] eval-auc:0.684454 train-auc:1
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[288] eval-auc:0.682098 train-auc:1
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[290] eval-auc:0.681705 train-auc:1
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[306] eval-auc:0.682866 train-auc:1
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[348] eval-auc:0.682671 train-auc:1
[349] eval-auc:0.682248 train-auc:1
[350] eval-auc:0.682226 train-auc:1
[351] eval-auc:0.68232 train-auc:1
[352] eval-auc:0.68232 train-auc:1
[353] eval-auc:0.682476 train-auc:1
[354] eval-auc:0.68215 train-auc:1
[355] eval-auc:0.68204 train-auc:1
[356] eval-auc:0.682323 train-auc:1
[357] eval-auc:0.682272 train-auc:1
[358] eval-auc:0.682087 train-auc:1
Score 0.682087429497253
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8500000000000001, 'eta': 0.17500000000000002, 'eval_metric': 'auc', 'gamma': 0.8, 'max_depth': 3, 'min_child_weight': 1.0, 'n_estimators': 449.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9, 'tree_method': 'exact'}
[0] eval-auc:0.709213 train-auc:0.719387
[1] eval-auc:0.694776 train-auc:0.727936
[2] eval-auc:0.698568 train-auc:0.732823
[3] eval-auc:0.704464 train-auc:0.739121
[4] eval-auc:0.702464 train-auc:0.740613
[5] eval-auc:0.70062 train-auc:0.749675
[6] eval-auc:0.700306 train-auc:0.753155
[7] eval-auc:0.703175 train-auc:0.755151
[8] eval-auc:0.70654 train-auc:0.757335
[9] eval-auc:0.707706 train-auc:0.760725
[10] eval-auc:0.709524 train-auc:0.764966
[11] eval-auc:0.712828 train-auc:0.769281
[12] eval-auc:0.70509 train-auc:0.769754
[13] eval-auc:0.705545 train-auc:0.774224
[14] eval-auc:0.705557 train-auc:0.775522
[15] eval-auc:0.706431 train-auc:0.776629
[16] eval-auc:0.706549 train-auc:0.78351
[17] eval-auc:0.705279 train-auc:0.786511
[18] eval-auc:0.704924 train-auc:0.789028
[19] eval-auc:0.702765 train-auc:0.791645
[20] eval-auc:0.704099 train-auc:0.79129
[21] eval-auc:0.703694 train-auc:0.794008
[22] eval-auc:0.701993 train-auc:0.797834
[23] eval-auc:0.702153 train-auc:0.80008
[24] eval-auc:0.701116 train-auc:0.803342
[25] eval-auc:0.700947 train-auc:0.804922
[26] eval-auc:0.701671 train-auc:0.807491
[27] eval-auc:0.703084 train-auc:0.80946
[28] eval-auc:0.702178 train-auc:0.808747
[29] eval-auc:0.702217 train-auc:0.809199
[30] eval-auc:0.704217 train-auc:0.811209
[31] eval-auc:0.70427 train-auc:0.812899
[32] eval-auc:0.70371 train-auc:0.813113
[33] eval-auc:0.703372 train-auc:0.81491
[34] eval-auc:0.703525 train-auc:0.816437
[35] eval-auc:0.704633 train-auc:0.818567
[36] eval-auc:0.704801 train-auc:0.819207
[37] eval-auc:0.703711 train-auc:0.822764
[38] eval-auc:0.703713 train-auc:0.824038
[39] eval-auc:0.704787 train-auc:0.828022
[40] eval-auc:0.704642 train-auc:0.83079
[41] eval-auc:0.705303 train-auc:0.831797
[42] eval-auc:0.706108 train-auc:0.83383
[43] eval-auc:0.705994 train-auc:0.834997
[44] eval-auc:0.706561 train-auc:0.834921
[45] eval-auc:0.707678 train-auc:0.835544
[46] eval-auc:0.705324 train-auc:0.83889
[47] eval-auc:0.70669 train-auc:0.840217
[48] eval-auc:0.706155 train-auc:0.840826
[49] eval-auc:0.705918 train-auc:0.841981
[50] eval-auc:0.705296 train-auc:0.843467
[51] eval-auc:0.704655 train-auc:0.845833
[52] eval-auc:0.704943 train-auc:0.847878
[53] eval-auc:0.706192 train-auc:0.850915
[54] eval-auc:0.706124 train-auc:0.851016
[55] eval-auc:0.706619 train-auc:0.85283
[56] eval-auc:0.706712 train-auc:0.852814
[57] eval-auc:0.705713 train-auc:0.853494
[58] eval-auc:0.706195 train-auc:0.855994
[59] eval-auc:0.705091 train-auc:0.857196
[60] eval-auc:0.703643 train-auc:0.85927
[61] eval-auc:0.704106 train-auc:0.859562
[62] eval-auc:0.70477 train-auc:0.861165
[63] eval-auc:0.70393 train-auc:0.863118
[64] eval-auc:0.704546 train-auc:0.864941
[65] eval-auc:0.70459 train-auc:0.864809
[66] eval-auc:0.704833 train-auc:0.866283
[67] eval-auc:0.704558 train-auc:0.866582
[68] eval-auc:0.704737 train-auc:0.868888
[69] eval-auc:0.705882 train-auc:0.870459
[70] eval-auc:0.705693 train-auc:0.871472
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[76] eval-auc:0.70625 train-auc:0.879358
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[78] eval-auc:0.706503 train-auc:0.882697
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[84] eval-auc:0.706441 train-auc:0.889652
[85] eval-auc:0.705627 train-auc:0.891322
[86] eval-auc:0.706396 train-auc:0.891237
[87] eval-auc:0.7071 train-auc:0.892007
[88] eval-auc:0.708041 train-auc:0.892485
[89] eval-auc:0.70939 train-auc:0.893895
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[91] eval-auc:0.709043 train-auc:0.894269
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[100] eval-auc:0.708662 train-auc:0.900897
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[102] eval-auc:0.7095 train-auc:0.90215
[103] eval-auc:0.708713 train-auc:0.902781
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[105] eval-auc:0.709284 train-auc:0.90426
[106] eval-auc:0.70886 train-auc:0.904659
[107] eval-auc:0.708881 train-auc:0.905306
[108] eval-auc:0.709804 train-auc:0.906445
[109] eval-auc:0.708952 train-auc:0.907099
[110] eval-auc:0.70849 train-auc:0.906485
[111] eval-auc:0.708601 train-auc:0.906962
[112] eval-auc:0.708891 train-auc:0.907519
[113] eval-auc:0.70914 train-auc:0.908867
[114] eval-auc:0.707825 train-auc:0.90961
[115] eval-auc:0.70733 train-auc:0.910235
[116] eval-auc:0.707188 train-auc:0.91088
[117] eval-auc:0.707776 train-auc:0.911755
[118] eval-auc:0.707666 train-auc:0.91221
[119] eval-auc:0.707896 train-auc:0.91315
[120] eval-auc:0.707968 train-auc:0.913456
[121] eval-auc:0.707475 train-auc:0.914429
[122] eval-auc:0.707293 train-auc:0.914884
[123] eval-auc:0.707377 train-auc:0.915904
[124] eval-auc:0.706159 train-auc:0.916577
[125] eval-auc:0.706939 train-auc:0.917266
[126] eval-auc:0.70641 train-auc:0.917938
[127] eval-auc:0.70602 train-auc:0.918475
[128] eval-auc:0.705796 train-auc:0.920489
[129] eval-auc:0.705997 train-auc:0.920816
[130] eval-auc:0.706689 train-auc:0.921241
[131] eval-auc:0.706833 train-auc:0.921803
[132] eval-auc:0.706945 train-auc:0.922617
[133] eval-auc:0.707164 train-auc:0.922926
[134] eval-auc:0.706337 train-auc:0.923719
[135] eval-auc:0.706427 train-auc:0.924147
[136] eval-auc:0.706063 train-auc:0.924284
[137] eval-auc:0.705567 train-auc:0.925172
[138] eval-auc:0.705367 train-auc:0.925602
[139] eval-auc:0.704705 train-auc:0.925692
[140] eval-auc:0.704592 train-auc:0.926184
[141] eval-auc:0.704858 train-auc:0.926339
[142] eval-auc:0.704499 train-auc:0.926467
[143] eval-auc:0.703486 train-auc:0.927017
[144] eval-auc:0.703681 train-auc:0.927406
[145] eval-auc:0.703936 train-auc:0.927603
[146] eval-auc:0.703971 train-auc:0.928473
[147] eval-auc:0.7041 train-auc:0.928113
[148] eval-auc:0.704863 train-auc:0.928808
[149] eval-auc:0.704179 train-auc:0.92962
[150] eval-auc:0.70385 train-auc:0.929997
[151] eval-auc:0.703363 train-auc:0.930915
[152] eval-auc:0.703221 train-auc:0.931744
[153] eval-auc:0.703208 train-auc:0.9318
[154] eval-auc:0.703194 train-auc:0.932268
[155] eval-auc:0.704504 train-auc:0.93363
[156] eval-auc:0.705309 train-auc:0.933973
[157] eval-auc:0.705347 train-auc:0.93393
[158] eval-auc:0.704893 train-auc:0.934318
[159] eval-auc:0.704508 train-auc:0.934795
[160] eval-auc:0.704283 train-auc:0.934947
[161] eval-auc:0.704386 train-auc:0.935632
[162] eval-auc:0.704373 train-auc:0.93608
[163] eval-auc:0.70375 train-auc:0.936266
[164] eval-auc:0.703776 train-auc:0.936989
[165] eval-auc:0.704255 train-auc:0.93727
[166] eval-auc:0.703401 train-auc:0.937474
[167] eval-auc:0.703162 train-auc:0.938003
[168] eval-auc:0.703427 train-auc:0.938374
[169] eval-auc:0.703284 train-auc:0.938398
[170] eval-auc:0.703101 train-auc:0.938453
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[174] eval-auc:0.703764 train-auc:0.941076
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[176] eval-auc:0.703668 train-auc:0.941812
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[178] eval-auc:0.704345 train-auc:0.942966
[179] eval-auc:0.704916 train-auc:0.943349
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[183] eval-auc:0.705244 train-auc:0.945235
[184] eval-auc:0.705059 train-auc:0.945535
[185] eval-auc:0.705117 train-auc:0.945697
[186] eval-auc:0.705148 train-auc:0.945947
[187] eval-auc:0.704858 train-auc:0.946464
[188] eval-auc:0.704994 train-auc:0.946372
[189] eval-auc:0.70512 train-auc:0.946478
[190] eval-auc:0.705222 train-auc:0.946983
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[192] eval-auc:0.705021 train-auc:0.947571
[193] eval-auc:0.704884 train-auc:0.948364
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[349] eval-auc:0.704262 train-auc:0.979597
[350] eval-auc:0.704195 train-auc:0.979865
[351] eval-auc:0.704498 train-auc:0.980059
[352] eval-auc:0.704093 train-auc:0.980122
[353] eval-auc:0.703888 train-auc:0.980291
[354] eval-auc:0.703841 train-auc:0.980288
[355] eval-auc:0.703943 train-auc:0.980513
[356] eval-auc:0.703856 train-auc:0.980569
[357] eval-auc:0.70447 train-auc:0.980879
[358] eval-auc:0.704423 train-auc:0.981039
[359] eval-auc:0.704447 train-auc:0.98116
[360] eval-auc:0.704484 train-auc:0.981301
[361] eval-auc:0.704575 train-auc:0.981333
[362] eval-auc:0.703788 train-auc:0.98161
[363] eval-auc:0.703511 train-auc:0.981638
[364] eval-auc:0.702792 train-auc:0.981658
[365] eval-auc:0.702609 train-auc:0.981785
[366] eval-auc:0.702999 train-auc:0.981911
[367] eval-auc:0.702935 train-auc:0.982066
[368] eval-auc:0.702513 train-auc:0.9821
[369] eval-auc:0.702323 train-auc:0.982191
[370] eval-auc:0.702169 train-auc:0.982251
[371] eval-auc:0.702331 train-auc:0.982336
[372] eval-auc:0.701575 train-auc:0.982488
[373] eval-auc:0.701755 train-auc:0.98256
[374] eval-auc:0.701783 train-auc:0.98238
[375] eval-auc:0.702092 train-auc:0.982457
[376] eval-auc:0.702448 train-auc:0.982599
[377] eval-auc:0.702628 train-auc:0.982695
[378] eval-auc:0.702763 train-auc:0.982617
[379] eval-auc:0.702439 train-auc:0.982582
[380] eval-auc:0.702445 train-auc:0.982648
[381] eval-auc:0.702695 train-auc:0.982759
[382] eval-auc:0.702475 train-auc:0.982896
[383] eval-auc:0.702699 train-auc:0.982931
[384] eval-auc:0.702722 train-auc:0.982908
[385] eval-auc:0.702457 train-auc:0.982974
[386] eval-auc:0.702664 train-auc:0.982965
[387] eval-auc:0.703453 train-auc:0.983061
[388] eval-auc:0.703336 train-auc:0.983129
[389] eval-auc:0.702752 train-auc:0.983126
[390] eval-auc:0.702912 train-auc:0.983202
[391] eval-auc:0.702664 train-auc:0.983365
[392] eval-auc:0.702763 train-auc:0.983629
[393] eval-auc:0.702657 train-auc:0.983676
[394] eval-auc:0.702766 train-auc:0.983692
[395] eval-auc:0.702623 train-auc:0.983773
[396] eval-auc:0.702832 train-auc:0.984092
[397] eval-auc:0.702845 train-auc:0.984186
[398] eval-auc:0.70225 train-auc:0.984259
[399] eval-auc:0.702443 train-auc:0.984456
[400] eval-auc:0.702614 train-auc:0.98447
[401] eval-auc:0.702579 train-auc:0.98443
[402] eval-auc:0.70243 train-auc:0.984532
[403] eval-auc:0.702858 train-auc:0.984713
[404] eval-auc:0.702894 train-auc:0.984696
[405] eval-auc:0.702658 train-auc:0.984883
[406] eval-auc:0.702271 train-auc:0.984914
[407] eval-auc:0.702277 train-auc:0.985016
[408] eval-auc:0.702379 train-auc:0.985126
[409] eval-auc:0.702701 train-auc:0.985248
[410] eval-auc:0.70252 train-auc:0.985442
[411] eval-auc:0.701987 train-auc:0.985482
[412] eval-auc:0.702396 train-auc:0.985628
[413] eval-auc:0.702561 train-auc:0.985739
[414] eval-auc:0.702433 train-auc:0.985724
[415] eval-auc:0.702461 train-auc:0.985879
[416] eval-auc:0.702333 train-auc:0.985898
[417] eval-auc:0.702328 train-auc:0.985873
[418] eval-auc:0.702501 train-auc:0.98598
[419] eval-auc:0.7026 train-auc:0.986033
[420] eval-auc:0.702708 train-auc:0.986036
[421] eval-auc:0.702742 train-auc:0.986146
[422] eval-auc:0.703272 train-auc:0.986152
[423] eval-auc:0.703217 train-auc:0.986152
[424] eval-auc:0.702949 train-auc:0.986242
[425] eval-auc:0.703461 train-auc:0.986172
[426] eval-auc:0.70375 train-auc:0.986339
[427] eval-auc:0.70362 train-auc:0.98634
[428] eval-auc:0.703119 train-auc:0.986411
[429] eval-auc:0.702617 train-auc:0.986537
[430] eval-auc:0.702515 train-auc:0.986535
[431] eval-auc:0.701825 train-auc:0.986498
[432] eval-auc:0.701601 train-auc:0.986601
[433] eval-auc:0.701193 train-auc:0.986759
[434] eval-auc:0.700631 train-auc:0.986816
[435] eval-auc:0.700654 train-auc:0.986868
[436] eval-auc:0.70026 train-auc:0.987032
[437] eval-auc:0.699701 train-auc:0.987101
[438] eval-auc:0.699853 train-auc:0.987059
[439] eval-auc:0.699692 train-auc:0.987074
[440] eval-auc:0.699585 train-auc:0.987063
[441] eval-auc:0.699565 train-auc:0.987093
[442] eval-auc:0.699737 train-auc:0.987092
[443] eval-auc:0.699862 train-auc:0.987085
[444] eval-auc:0.699966 train-auc:0.987198
[445] eval-auc:0.699981 train-auc:0.987348
[446] eval-auc:0.699855 train-auc:0.987394
[447] eval-auc:0.699634 train-auc:0.987386
[448] eval-auc:0.699243 train-auc:0.987489
Score 0.6992425903592442
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.9, 'eta': 0.375, 'eval_metric': 'auc', 'gamma': 0.8, 'max_depth': 7, 'min_child_weight': 2.0, 'n_estimators': 315.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.70673 train-auc:0.789775
[1] eval-auc:0.693254 train-auc:0.83214
[2] eval-auc:0.700088 train-auc:0.873537
[3] eval-auc:0.704278 train-auc:0.90373
[4] eval-auc:0.703266 train-auc:0.916677
[5] eval-auc:0.703206 train-auc:0.925958
[6] eval-auc:0.705717 train-auc:0.936478
[7] eval-auc:0.70105 train-auc:0.943175
[8] eval-auc:0.696994 train-auc:0.954267
[9] eval-auc:0.695261 train-auc:0.956921
[10] eval-auc:0.697774 train-auc:0.962242
[11] eval-auc:0.697329 train-auc:0.968458
[12] eval-auc:0.694392 train-auc:0.96928
[13] eval-auc:0.694284 train-auc:0.978511
[14] eval-auc:0.697836 train-auc:0.982043
[15] eval-auc:0.69919 train-auc:0.983295
[16] eval-auc:0.700013 train-auc:0.986441
[17] eval-auc:0.699786 train-auc:0.98798
[18] eval-auc:0.701641 train-auc:0.989649
[19] eval-auc:0.703532 train-auc:0.991517
[20] eval-auc:0.699064 train-auc:0.992196
[21] eval-auc:0.699521 train-auc:0.992943
[22] eval-auc:0.698027 train-auc:0.993975
[23] eval-auc:0.695652 train-auc:0.994842
[24] eval-auc:0.695192 train-auc:0.995004
[25] eval-auc:0.697076 train-auc:0.995934
[26] eval-auc:0.698873 train-auc:0.996597
[27] eval-auc:0.699511 train-auc:0.996763
[28] eval-auc:0.698433 train-auc:0.997091
[29] eval-auc:0.698888 train-auc:0.997574
[30] eval-auc:0.699249 train-auc:0.99799
[31] eval-auc:0.69943 train-auc:0.998232
[32] eval-auc:0.698778 train-auc:0.99851
[33] eval-auc:0.697731 train-auc:0.998737
[34] eval-auc:0.697438 train-auc:0.998993
[35] eval-auc:0.697067 train-auc:0.999046
[36] eval-auc:0.695853 train-auc:0.999178
[37] eval-auc:0.696261 train-auc:0.9992
[38] eval-auc:0.695149 train-auc:0.99922
[39] eval-auc:0.695661 train-auc:0.999339
[40] eval-auc:0.694333 train-auc:0.999456
[41] eval-auc:0.692343 train-auc:0.999546
[42] eval-auc:0.692543 train-auc:0.999563
[43] eval-auc:0.691163 train-auc:0.999659
[44] eval-auc:0.692322 train-auc:0.999697
[45] eval-auc:0.69368 train-auc:0.999764
[46] eval-auc:0.694014 train-auc:0.999793
[47] eval-auc:0.692894 train-auc:0.99984
[48] eval-auc:0.692447 train-auc:0.999868
[49] eval-auc:0.691839 train-auc:0.999875
[50] eval-auc:0.692223 train-auc:0.999877
[51] eval-auc:0.689323 train-auc:0.999911
[52] eval-auc:0.689713 train-auc:0.999912
[53] eval-auc:0.690251 train-auc:0.999926
[54] eval-auc:0.689107 train-auc:0.999939
[55] eval-auc:0.688306 train-auc:0.999958
[56] eval-auc:0.68885 train-auc:0.999964
[57] eval-auc:0.689247 train-auc:0.999964
[58] eval-auc:0.689407 train-auc:0.99997
[59] eval-auc:0.689651 train-auc:0.999982
[60] eval-auc:0.690764 train-auc:0.999979
[61] eval-auc:0.693179 train-auc:0.999987
[62] eval-auc:0.692102 train-auc:0.999987
[63] eval-auc:0.692788 train-auc:0.999991
[64] eval-auc:0.692722 train-auc:0.999991
[65] eval-auc:0.692702 train-auc:0.999996
[66] eval-auc:0.692684 train-auc:0.999997
[67] eval-auc:0.691736 train-auc:0.999998
[68] eval-auc:0.692217 train-auc:0.999998
[69] eval-auc:0.691801 train-auc:0.999998
[70] eval-auc:0.691749 train-auc:0.999999
[71] eval-auc:0.692081 train-auc:0.999998
[72] eval-auc:0.691766 train-auc:0.999999
[73] eval-auc:0.691691 train-auc:0.999999
[74] eval-auc:0.691743 train-auc:0.999999
[75] eval-auc:0.691003 train-auc:0.999999
[76] eval-auc:0.691061 train-auc:1
[77] eval-auc:0.690625 train-auc:1
[78] eval-auc:0.690111 train-auc:1
[79] eval-auc:0.689432 train-auc:1
[80] eval-auc:0.68858 train-auc:1
[81] eval-auc:0.688856 train-auc:1
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[83] eval-auc:0.690455 train-auc:1
[84] eval-auc:0.688847 train-auc:1
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[90] eval-auc:0.690814 train-auc:1
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[92] eval-auc:0.691845 train-auc:1
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[110] eval-auc:0.696765 train-auc:1
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[118] eval-auc:0.696946 train-auc:1
[119] eval-auc:0.696687 train-auc:1
[120] eval-auc:0.695678 train-auc:1
[121] eval-auc:0.695678 train-auc:1
[122] eval-auc:0.69572 train-auc:1
[123] eval-auc:0.696284 train-auc:1
[124] eval-auc:0.696234 train-auc:1
[125] eval-auc:0.696159 train-auc:1
[126] eval-auc:0.696159 train-auc:1
[127] eval-auc:0.695372 train-auc:1
[128] eval-auc:0.697985 train-auc:1
[129] eval-auc:0.697985 train-auc:1
[130] eval-auc:0.698263 train-auc:1
[131] eval-auc:0.698158 train-auc:1
[132] eval-auc:0.698262 train-auc:1
[133] eval-auc:0.698122 train-auc:1
[134] eval-auc:0.699361 train-auc:1
[135] eval-auc:0.699431 train-auc:1
[136] eval-auc:0.69917 train-auc:1
[137] eval-auc:0.698696 train-auc:1
[138] eval-auc:0.698062 train-auc:1
[139] eval-auc:0.698062 train-auc:1
[140] eval-auc:0.699121 train-auc:1
[141] eval-auc:0.699121 train-auc:1
[142] eval-auc:0.699284 train-auc:1
[143] eval-auc:0.699386 train-auc:1
[144] eval-auc:0.699488 train-auc:1
[145] eval-auc:0.699488 train-auc:1
[146] eval-auc:0.699739 train-auc:1
[147] eval-auc:0.699949 train-auc:1
[148] eval-auc:0.699949 train-auc:1
[149] eval-auc:0.699323 train-auc:1
[150] eval-auc:0.699323 train-auc:1
[151] eval-auc:0.69871 train-auc:1
[152] eval-auc:0.698672 train-auc:1
[153] eval-auc:0.698672 train-auc:1
[154] eval-auc:0.698137 train-auc:1
[155] eval-auc:0.697965 train-auc:1
[156] eval-auc:0.69775 train-auc:1
[157] eval-auc:0.698338 train-auc:1
[158] eval-auc:0.698338 train-auc:1
[159] eval-auc:0.698425 train-auc:1
[160] eval-auc:0.698425 train-auc:1
[161] eval-auc:0.697354 train-auc:1
[162] eval-auc:0.697354 train-auc:1
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[164] eval-auc:0.697501 train-auc:1
[165] eval-auc:0.697759 train-auc:1
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[170] eval-auc:0.697586 train-auc:1
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[172] eval-auc:0.697735 train-auc:1
[173] eval-auc:0.697878 train-auc:1
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[175] eval-auc:0.69735 train-auc:1
[176] eval-auc:0.699354 train-auc:1
[177] eval-auc:0.699623 train-auc:1
[178] eval-auc:0.699543 train-auc:1
[179] eval-auc:0.699541 train-auc:1
[180] eval-auc:0.699501 train-auc:1
[181] eval-auc:0.699501 train-auc:1
[182] eval-auc:0.699599 train-auc:1
[183] eval-auc:0.699637 train-auc:1
[184] eval-auc:0.699879 train-auc:1
[185] eval-auc:0.699925 train-auc:1
[186] eval-auc:0.700044 train-auc:1
[187] eval-auc:0.698996 train-auc:1
[188] eval-auc:0.69915 train-auc:1
[189] eval-auc:0.69858 train-auc:1
[190] eval-auc:0.69894 train-auc:1
[191] eval-auc:0.698901 train-auc:1
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[194] eval-auc:0.698764 train-auc:1
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[198] eval-auc:0.69844 train-auc:1
[199] eval-auc:0.698273 train-auc:1
[200] eval-auc:0.698675 train-auc:1
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[204] eval-auc:0.698611 train-auc:1
[205] eval-auc:0.698216 train-auc:1
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[207] eval-auc:0.698206 train-auc:1
[208] eval-auc:0.69793 train-auc:1
[209] eval-auc:0.69768 train-auc:1
[210] eval-auc:0.69768 train-auc:1
[211] eval-auc:0.697695 train-auc:1
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[213] eval-auc:0.698394 train-auc:1
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[219] eval-auc:0.69811 train-auc:1
[220] eval-auc:0.698187 train-auc:1
[221] eval-auc:0.698515 train-auc:1
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[228] eval-auc:0.698035 train-auc:1
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[250] eval-auc:0.698399 train-auc:1
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[255] eval-auc:0.698338 train-auc:1
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[260] eval-auc:0.698903 train-auc:1
[261] eval-auc:0.698737 train-auc:1
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[266] eval-auc:0.698582 train-auc:1
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[270] eval-auc:0.701473 train-auc:1
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[274] eval-auc:0.701362 train-auc:1
[275] eval-auc:0.701454 train-auc:1
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[279] eval-auc:0.701499 train-auc:1
[280] eval-auc:0.701499 train-auc:1
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[289] eval-auc:0.701116 train-auc:1
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[292] eval-auc:0.701088 train-auc:1
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[296] eval-auc:0.700889 train-auc:1
[297] eval-auc:0.700889 train-auc:1
[298] eval-auc:0.700889 train-auc:1
[299] eval-auc:0.700679 train-auc:1
[300] eval-auc:0.700679 train-auc:1
[301] eval-auc:0.700679 train-auc:1
[302] eval-auc:0.700679 train-auc:1
[303] eval-auc:0.700679 train-auc:1
[304] eval-auc:0.700679 train-auc:1
[305] eval-auc:0.700679 train-auc:1
[306] eval-auc:0.700679 train-auc:1
[307] eval-auc:0.700679 train-auc:1
[308] eval-auc:0.700679 train-auc:1
[309] eval-auc:0.700679 train-auc:1
[310] eval-auc:0.700679 train-auc:1
[311] eval-auc:0.700679 train-auc:1
[312] eval-auc:0.700679 train-auc:1
[313] eval-auc:0.700121 train-auc:1
[314] eval-auc:0.700121 train-auc:1
Score 0.7001212099063213
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.65, 'eta': 0.05, 'eval_metric': 'auc', 'gamma': 0.5, 'max_depth': 9, 'min_child_weight': 1.0, 'n_estimators': 285.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.75, 'tree_method': 'exact'}
[0] eval-auc:0.625276 train-auc:0.782232
[1] eval-auc:0.633309 train-auc:0.846179
[2] eval-auc:0.626276 train-auc:0.881248
[3] eval-auc:0.641208 train-auc:0.895058
[4] eval-auc:0.661643 train-auc:0.912448
[5] eval-auc:0.660743 train-auc:0.926609
[6] eval-auc:0.662737 train-auc:0.939028
[7] eval-auc:0.653634 train-auc:0.947216
[8] eval-auc:0.65416 train-auc:0.958493
[9] eval-auc:0.663461 train-auc:0.964883
[10] eval-auc:0.661922 train-auc:0.968455
[11] eval-auc:0.661607 train-auc:0.971956
[12] eval-auc:0.665802 train-auc:0.973979
[13] eval-auc:0.671352 train-auc:0.975425
[14] eval-auc:0.669866 train-auc:0.977877
[15] eval-auc:0.671189 train-auc:0.980422
[16] eval-auc:0.671092 train-auc:0.982016
[17] eval-auc:0.678121 train-auc:0.984612
[18] eval-auc:0.676324 train-auc:0.985896
[19] eval-auc:0.679249 train-auc:0.98658
[20] eval-auc:0.678497 train-auc:0.987553
[21] eval-auc:0.676788 train-auc:0.987612
[22] eval-auc:0.677169 train-auc:0.988552
[23] eval-auc:0.675951 train-auc:0.988134
[24] eval-auc:0.675753 train-auc:0.988623
[25] eval-auc:0.674485 train-auc:0.988888
[26] eval-auc:0.676062 train-auc:0.989425
[27] eval-auc:0.672643 train-auc:0.990398
[28] eval-auc:0.672812 train-auc:0.990266
[29] eval-auc:0.672056 train-auc:0.990481
[30] eval-auc:0.671223 train-auc:0.991645
[31] eval-auc:0.671081 train-auc:0.992003
[32] eval-auc:0.670062 train-auc:0.992611
[33] eval-auc:0.669443 train-auc:0.992965
[34] eval-auc:0.669456 train-auc:0.99385
[35] eval-auc:0.667737 train-auc:0.99432
[36] eval-auc:0.668232 train-auc:0.994788
[37] eval-auc:0.668049 train-auc:0.995023
[38] eval-auc:0.668112 train-auc:0.995079
[39] eval-auc:0.668116 train-auc:0.995216
[40] eval-auc:0.668925 train-auc:0.995229
[41] eval-auc:0.669129 train-auc:0.995332
[42] eval-auc:0.669913 train-auc:0.995974
[43] eval-auc:0.67093 train-auc:0.99623
[44] eval-auc:0.674332 train-auc:0.996449
[45] eval-auc:0.674325 train-auc:0.996549
[46] eval-auc:0.674186 train-auc:0.99692
[47] eval-auc:0.676032 train-auc:0.997153
[48] eval-auc:0.676554 train-auc:0.997252
[49] eval-auc:0.676555 train-auc:0.99738
[50] eval-auc:0.675524 train-auc:0.99756
[51] eval-auc:0.675474 train-auc:0.997549
[52] eval-auc:0.675521 train-auc:0.997689
[53] eval-auc:0.676038 train-auc:0.997792
[54] eval-auc:0.676191 train-auc:0.998032
[55] eval-auc:0.674949 train-auc:0.998184
[56] eval-auc:0.673612 train-auc:0.998247
[57] eval-auc:0.673041 train-auc:0.998364
[58] eval-auc:0.674911 train-auc:0.998453
[59] eval-auc:0.678081 train-auc:0.998585
[60] eval-auc:0.678734 train-auc:0.998806
[61] eval-auc:0.678718 train-auc:0.99882
[62] eval-auc:0.678412 train-auc:0.998849
[63] eval-auc:0.679403 train-auc:0.998953
[64] eval-auc:0.678533 train-auc:0.999003
[65] eval-auc:0.67831 train-auc:0.999069
[66] eval-auc:0.678504 train-auc:0.999079
[67] eval-auc:0.677678 train-auc:0.999069
[68] eval-auc:0.678271 train-auc:0.999125
[69] eval-auc:0.67788 train-auc:0.999148
[70] eval-auc:0.678468 train-auc:0.999222
[71] eval-auc:0.679019 train-auc:0.999281
[72] eval-auc:0.678535 train-auc:0.999289
[73] eval-auc:0.678967 train-auc:0.999317
[74] eval-auc:0.678361 train-auc:0.999347
[75] eval-auc:0.678075 train-auc:0.999349
[76] eval-auc:0.677967 train-auc:0.999403
[77] eval-auc:0.677009 train-auc:0.9994
[78] eval-auc:0.677099 train-auc:0.999397
[79] eval-auc:0.677566 train-auc:0.999437
[80] eval-auc:0.67712 train-auc:0.999434
[81] eval-auc:0.677906 train-auc:0.999495
[82] eval-auc:0.67733 train-auc:0.999495
[83] eval-auc:0.676564 train-auc:0.999496
[84] eval-auc:0.676666 train-auc:0.999547
[85] eval-auc:0.675911 train-auc:0.999579
[86] eval-auc:0.676004 train-auc:0.999583
[87] eval-auc:0.677349 train-auc:0.999644
[88] eval-auc:0.67786 train-auc:0.999681
[89] eval-auc:0.678782 train-auc:0.999692
[90] eval-auc:0.678424 train-auc:0.999694
[91] eval-auc:0.678297 train-auc:0.999696
[92] eval-auc:0.678157 train-auc:0.999703
[93] eval-auc:0.677244 train-auc:0.999745
[94] eval-auc:0.677171 train-auc:0.999748
[95] eval-auc:0.678515 train-auc:0.999767
[96] eval-auc:0.677757 train-auc:0.999783
[97] eval-auc:0.677725 train-auc:0.999794
[98] eval-auc:0.677664 train-auc:0.99982
[99] eval-auc:0.678095 train-auc:0.999835
[100] eval-auc:0.678087 train-auc:0.99984
[101] eval-auc:0.678352 train-auc:0.999848
[102] eval-auc:0.67744 train-auc:0.999855
[103] eval-auc:0.679079 train-auc:0.999863
[104] eval-auc:0.679289 train-auc:0.999866
[105] eval-auc:0.680088 train-auc:0.999876
[106] eval-auc:0.679899 train-auc:0.999882
[107] eval-auc:0.680784 train-auc:0.999882
[108] eval-auc:0.680236 train-auc:0.999888
[109] eval-auc:0.680915 train-auc:0.999899
[110] eval-auc:0.682042 train-auc:0.999898
[111] eval-auc:0.681596 train-auc:0.999905
[112] eval-auc:0.681338 train-auc:0.999912
[113] eval-auc:0.681848 train-auc:0.999914
[114] eval-auc:0.681914 train-auc:0.999918
[115] eval-auc:0.682071 train-auc:0.999928
[116] eval-auc:0.68284 train-auc:0.99994
[117] eval-auc:0.681258 train-auc:0.999945
[118] eval-auc:0.681414 train-auc:0.999946
[119] eval-auc:0.681985 train-auc:0.999947
[120] eval-auc:0.682136 train-auc:0.999949
[121] eval-auc:0.683347 train-auc:0.999961
[122] eval-auc:0.68396 train-auc:0.999965
[123] eval-auc:0.683849 train-auc:0.999964
[124] eval-auc:0.683868 train-auc:0.999968
[125] eval-auc:0.684679 train-auc:0.999969
[126] eval-auc:0.684795 train-auc:0.999971
[127] eval-auc:0.685113 train-auc:0.999973
[128] eval-auc:0.686019 train-auc:0.999978
[129] eval-auc:0.686371 train-auc:0.999981
[130] eval-auc:0.685896 train-auc:0.999983
[131] eval-auc:0.686316 train-auc:0.999982
[132] eval-auc:0.686001 train-auc:0.999985
[133] eval-auc:0.685701 train-auc:0.999985
[134] eval-auc:0.685896 train-auc:0.999987
[135] eval-auc:0.685865 train-auc:0.99999
[136] eval-auc:0.685882 train-auc:0.999993
[137] eval-auc:0.685491 train-auc:0.999993
[138] eval-auc:0.684936 train-auc:0.999993
[139] eval-auc:0.68464 train-auc:0.999992
[140] eval-auc:0.684573 train-auc:0.999993
[141] eval-auc:0.684601 train-auc:0.999993
[142] eval-auc:0.684792 train-auc:0.999993
[143] eval-auc:0.685063 train-auc:0.999993
[144] eval-auc:0.685022 train-auc:0.999993
[145] eval-auc:0.685023 train-auc:0.999993
[146] eval-auc:0.684081 train-auc:0.999994
[147] eval-auc:0.683714 train-auc:0.999994
[148] eval-auc:0.68335 train-auc:0.999992
[149] eval-auc:0.683418 train-auc:0.999994
[150] eval-auc:0.683921 train-auc:0.999994
[151] eval-auc:0.68456 train-auc:0.999995
[152] eval-auc:0.684847 train-auc:0.999995
[153] eval-auc:0.684346 train-auc:0.999996
[154] eval-auc:0.684359 train-auc:0.999996
[155] eval-auc:0.684673 train-auc:0.999996
[156] eval-auc:0.685025 train-auc:0.999997
[157] eval-auc:0.685177 train-auc:0.999998
[158] eval-auc:0.684891 train-auc:0.999999
[159] eval-auc:0.6852 train-auc:0.999999
[160] eval-auc:0.684905 train-auc:0.999998
[161] eval-auc:0.684936 train-auc:0.999998
[162] eval-auc:0.684833 train-auc:0.999998
[163] eval-auc:0.6843 train-auc:0.999999
[164] eval-auc:0.684509 train-auc:0.999998
[165] eval-auc:0.684504 train-auc:0.999999
[166] eval-auc:0.683837 train-auc:0.999998
[167] eval-auc:0.683845 train-auc:0.999998
[168] eval-auc:0.684052 train-auc:0.999998
[169] eval-auc:0.685107 train-auc:0.999998
[170] eval-auc:0.684793 train-auc:0.999998
[171] eval-auc:0.685502 train-auc:0.999998
[172] eval-auc:0.685421 train-auc:0.999997
[173] eval-auc:0.685101 train-auc:0.999997
[174] eval-auc:0.685232 train-auc:0.999997
[175] eval-auc:0.685019 train-auc:0.999998
[176] eval-auc:0.685293 train-auc:0.999998
[177] eval-auc:0.685418 train-auc:0.999998
[178] eval-auc:0.685491 train-auc:0.999998
[179] eval-auc:0.685308 train-auc:0.999998
[180] eval-auc:0.685166 train-auc:0.999998
[181] eval-auc:0.685504 train-auc:0.999998
[182] eval-auc:0.685415 train-auc:0.999998
[183] eval-auc:0.685355 train-auc:0.999998
[184] eval-auc:0.685527 train-auc:0.999999
[185] eval-auc:0.685096 train-auc:0.999999
[186] eval-auc:0.685996 train-auc:0.999999
[187] eval-auc:0.685829 train-auc:0.999999
[188] eval-auc:0.6859 train-auc:0.999999
[189] eval-auc:0.685874 train-auc:0.999999
[190] eval-auc:0.686196 train-auc:0.999998
[191] eval-auc:0.685811 train-auc:0.999999
[192] eval-auc:0.685747 train-auc:0.999999
[193] eval-auc:0.685526 train-auc:0.999998
[194] eval-auc:0.686522 train-auc:0.999998
[195] eval-auc:0.686578 train-auc:0.999999
[196] eval-auc:0.686867 train-auc:0.999999
[197] eval-auc:0.686844 train-auc:0.999999
[198] eval-auc:0.687014 train-auc:0.999999
[199] eval-auc:0.68735 train-auc:0.999999
[200] eval-auc:0.686811 train-auc:0.999999
[201] eval-auc:0.687071 train-auc:0.999999
[202] eval-auc:0.686899 train-auc:0.999999
[203] eval-auc:0.687423 train-auc:0.999999
[204] eval-auc:0.687339 train-auc:0.999999
[205] eval-auc:0.687169 train-auc:0.999999
[206] eval-auc:0.687105 train-auc:0.999999
[207] eval-auc:0.687627 train-auc:0.999999
[208] eval-auc:0.687195 train-auc:0.999999
[209] eval-auc:0.686956 train-auc:0.999999
[210] eval-auc:0.686714 train-auc:0.999999
[211] eval-auc:0.686544 train-auc:0.999999
[212] eval-auc:0.686398 train-auc:0.999999
[213] eval-auc:0.685702 train-auc:0.999999
[214] eval-auc:0.685675 train-auc:0.999999
[215] eval-auc:0.685267 train-auc:0.999999
[216] eval-auc:0.686072 train-auc:0.999999
[217] eval-auc:0.685824 train-auc:0.999999
[218] eval-auc:0.686315 train-auc:0.999999
[219] eval-auc:0.686476 train-auc:0.999999
[220] eval-auc:0.686264 train-auc:0.999999
[221] eval-auc:0.686252 train-auc:0.999999
[222] eval-auc:0.686092 train-auc:1
[223] eval-auc:0.685993 train-auc:1
[224] eval-auc:0.685503 train-auc:1
[225] eval-auc:0.685052 train-auc:1
[226] eval-auc:0.685302 train-auc:1
[227] eval-auc:0.685384 train-auc:1
[228] eval-auc:0.685294 train-auc:1
[229] eval-auc:0.685203 train-auc:1
[230] eval-auc:0.685317 train-auc:1
[231] eval-auc:0.685436 train-auc:1
[232] eval-auc:0.685638 train-auc:1
[233] eval-auc:0.685584 train-auc:1
[234] eval-auc:0.685608 train-auc:1
[235] eval-auc:0.685552 train-auc:1
[236] eval-auc:0.685357 train-auc:1
[237] eval-auc:0.685404 train-auc:1
[238] eval-auc:0.685197 train-auc:1
[239] eval-auc:0.685278 train-auc:1
[240] eval-auc:0.685151 train-auc:1
[241] eval-auc:0.685262 train-auc:1
[242] eval-auc:0.685363 train-auc:1
[243] eval-auc:0.685722 train-auc:1
[244] eval-auc:0.685897 train-auc:1
[245] eval-auc:0.685932 train-auc:1
[246] eval-auc:0.686063 train-auc:1
[247] eval-auc:0.686092 train-auc:1
[248] eval-auc:0.686028 train-auc:1
[249] eval-auc:0.686068 train-auc:1
[250] eval-auc:0.686249 train-auc:1
[251] eval-auc:0.685707 train-auc:1
[252] eval-auc:0.685852 train-auc:1
[253] eval-auc:0.685967 train-auc:1
[254] eval-auc:0.685664 train-auc:1
[255] eval-auc:0.685846 train-auc:1
[256] eval-auc:0.685804 train-auc:1
[257] eval-auc:0.685975 train-auc:1
[258] eval-auc:0.685903 train-auc:1
[259] eval-auc:0.685928 train-auc:1
[260] eval-auc:0.686034 train-auc:1
[261] eval-auc:0.68594 train-auc:1
[262] eval-auc:0.68575 train-auc:1
[263] eval-auc:0.685935 train-auc:1
[264] eval-auc:0.68592 train-auc:1
[265] eval-auc:0.686653 train-auc:1
[266] eval-auc:0.686561 train-auc:1
[267] eval-auc:0.686397 train-auc:1
[268] eval-auc:0.686322 train-auc:1
[269] eval-auc:0.686114 train-auc:1
[270] eval-auc:0.685978 train-auc:1
[271] eval-auc:0.686083 train-auc:1
[272] eval-auc:0.686015 train-auc:1
[273] eval-auc:0.686085 train-auc:1
[274] eval-auc:0.686069 train-auc:1
[275] eval-auc:0.685905 train-auc:1
[276] eval-auc:0.685658 train-auc:1
[277] eval-auc:0.685393 train-auc:1
[278] eval-auc:0.685037 train-auc:1
[279] eval-auc:0.685265 train-auc:1
[280] eval-auc:0.685497 train-auc:1
[281] eval-auc:0.686106 train-auc:1
[282] eval-auc:0.685823 train-auc:1
[283] eval-auc:0.685776 train-auc:1
[284] eval-auc:0.686092 train-auc:1
Score 0.6860922291659053
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.75, 'eta': 0.47500000000000003, 'eval_metric': 'auc', 'gamma': 0.55, 'max_depth': 3, 'min_child_weight': 2.0, 'n_estimators': 412.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 1.0, 'tree_method': 'exact'}
[0] eval-auc:0.702485 train-auc:0.723761
[1] eval-auc:0.688029 train-auc:0.730854
[2] eval-auc:0.690638 train-auc:0.748219
[3] eval-auc:0.693198 train-auc:0.758295
[4] eval-auc:0.700111 train-auc:0.757735
[5] eval-auc:0.701568 train-auc:0.768333
[6] eval-auc:0.708784 train-auc:0.77056
[7] eval-auc:0.711298 train-auc:0.779184
[8] eval-auc:0.711673 train-auc:0.782676
[9] eval-auc:0.712732 train-auc:0.788022
[10] eval-auc:0.717522 train-auc:0.792536
[11] eval-auc:0.718374 train-auc:0.801152
[12] eval-auc:0.713055 train-auc:0.809009
[13] eval-auc:0.713002 train-auc:0.80956
[14] eval-auc:0.706393 train-auc:0.814341
[15] eval-auc:0.706527 train-auc:0.816369
[16] eval-auc:0.709547 train-auc:0.819944
[17] eval-auc:0.708505 train-auc:0.821515
[18] eval-auc:0.706458 train-auc:0.827298
[19] eval-auc:0.705389 train-auc:0.83071
[20] eval-auc:0.702547 train-auc:0.83464
[21] eval-auc:0.700528 train-auc:0.837757
[22] eval-auc:0.70029 train-auc:0.838113
[23] eval-auc:0.700127 train-auc:0.842498
[24] eval-auc:0.699626 train-auc:0.844727
[25] eval-auc:0.697276 train-auc:0.847939
[26] eval-auc:0.696432 train-auc:0.849881
[27] eval-auc:0.694717 train-auc:0.853379
[28] eval-auc:0.692554 train-auc:0.856461
[29] eval-auc:0.694364 train-auc:0.861167
[30] eval-auc:0.694261 train-auc:0.863328
[31] eval-auc:0.694396 train-auc:0.864836
[32] eval-auc:0.694777 train-auc:0.866149
[33] eval-auc:0.693518 train-auc:0.870399
[34] eval-auc:0.693976 train-auc:0.87214
[35] eval-auc:0.695686 train-auc:0.874176
[36] eval-auc:0.694412 train-auc:0.877465
[37] eval-auc:0.69602 train-auc:0.878465
[38] eval-auc:0.695026 train-auc:0.879553
[39] eval-auc:0.69447 train-auc:0.881449
[40] eval-auc:0.695643 train-auc:0.883304
[41] eval-auc:0.695201 train-auc:0.885316
[42] eval-auc:0.697268 train-auc:0.888792
[43] eval-auc:0.699884 train-auc:0.892451
[44] eval-auc:0.700514 train-auc:0.893567
[45] eval-auc:0.702041 train-auc:0.895107
[46] eval-auc:0.702873 train-auc:0.896724
[47] eval-auc:0.703206 train-auc:0.898488
[48] eval-auc:0.70281 train-auc:0.899603
[49] eval-auc:0.703247 train-auc:0.901458
[50] eval-auc:0.704319 train-auc:0.903083
[51] eval-auc:0.70501 train-auc:0.903411
[52] eval-auc:0.703786 train-auc:0.905455
[53] eval-auc:0.703926 train-auc:0.907084
[54] eval-auc:0.703225 train-auc:0.909474
[55] eval-auc:0.704191 train-auc:0.910661
[56] eval-auc:0.704329 train-auc:0.912491
[57] eval-auc:0.704576 train-auc:0.913959
[58] eval-auc:0.704227 train-auc:0.916925
[59] eval-auc:0.705226 train-auc:0.919548
[60] eval-auc:0.705235 train-auc:0.92126
[61] eval-auc:0.704052 train-auc:0.922068
[62] eval-auc:0.703373 train-auc:0.922998
[63] eval-auc:0.702134 train-auc:0.92486
[64] eval-auc:0.700966 train-auc:0.925994
[65] eval-auc:0.700353 train-auc:0.926212
[66] eval-auc:0.701778 train-auc:0.927713
[67] eval-auc:0.701613 train-auc:0.928439
[68] eval-auc:0.703377 train-auc:0.929496
[69] eval-auc:0.702337 train-auc:0.931041
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[176] eval-auc:0.691496 train-auc:0.984388
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[210] eval-auc:0.689027 train-auc:0.989205
[211] eval-auc:0.688551 train-auc:0.989304
[212] eval-auc:0.6885 train-auc:0.989505
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[218] eval-auc:0.693634 train-auc:0.990468
[219] eval-auc:0.693573 train-auc:0.990494
[220] eval-auc:0.693689 train-auc:0.990599
[221] eval-auc:0.693733 train-auc:0.990631
[222] eval-auc:0.693446 train-auc:0.99059
[223] eval-auc:0.693053 train-auc:0.990613
[224] eval-auc:0.692692 train-auc:0.990724
[225] eval-auc:0.69271 train-auc:0.990842
[226] eval-auc:0.692578 train-auc:0.991041
[227] eval-auc:0.692241 train-auc:0.99124
[228] eval-auc:0.691822 train-auc:0.991206
[229] eval-auc:0.691343 train-auc:0.991247
[230] eval-auc:0.690571 train-auc:0.991311
[231] eval-auc:0.690108 train-auc:0.99132
[232] eval-auc:0.689786 train-auc:0.991328
[233] eval-auc:0.690167 train-auc:0.99141
[234] eval-auc:0.690118 train-auc:0.991429
[235] eval-auc:0.689291 train-auc:0.991672
[236] eval-auc:0.688469 train-auc:0.991809
[237] eval-auc:0.687754 train-auc:0.991932
[238] eval-auc:0.687493 train-auc:0.991999
[239] eval-auc:0.686995 train-auc:0.992113
[240] eval-auc:0.687006 train-auc:0.992127
[241] eval-auc:0.687251 train-auc:0.992148
[242] eval-auc:0.687524 train-auc:0.992221
[243] eval-auc:0.687894 train-auc:0.992361
[244] eval-auc:0.688413 train-auc:0.992498
[245] eval-auc:0.688871 train-auc:0.99258
[246] eval-auc:0.688953 train-auc:0.992706
[247] eval-auc:0.688995 train-auc:0.992784
[248] eval-auc:0.689817 train-auc:0.99293
[249] eval-auc:0.690266 train-auc:0.993098
[250] eval-auc:0.689963 train-auc:0.993147
[251] eval-auc:0.689544 train-auc:0.99317
[252] eval-auc:0.688931 train-auc:0.993255
[253] eval-auc:0.689133 train-auc:0.993331
[254] eval-auc:0.68897 train-auc:0.99327
[255] eval-auc:0.688798 train-auc:0.993522
[256] eval-auc:0.688501 train-auc:0.993538
[257] eval-auc:0.688864 train-auc:0.993559
[258] eval-auc:0.688704 train-auc:0.99358
[259] eval-auc:0.689084 train-auc:0.993652
[260] eval-auc:0.689037 train-auc:0.993854
[261] eval-auc:0.689194 train-auc:0.993892
[262] eval-auc:0.6903 train-auc:0.99393
[263] eval-auc:0.690353 train-auc:0.99404
[264] eval-auc:0.690341 train-auc:0.994121
[265] eval-auc:0.690829 train-auc:0.994172
[266] eval-auc:0.689442 train-auc:0.994263
[267] eval-auc:0.689933 train-auc:0.994251
[268] eval-auc:0.690001 train-auc:0.994297
[269] eval-auc:0.68978 train-auc:0.994415
[270] eval-auc:0.689875 train-auc:0.994457
[271] eval-auc:0.689987 train-auc:0.994572
[272] eval-auc:0.688492 train-auc:0.994716
[273] eval-auc:0.688716 train-auc:0.994731
[274] eval-auc:0.688838 train-auc:0.994771
[275] eval-auc:0.688247 train-auc:0.994801
[276] eval-auc:0.687962 train-auc:0.994824
[277] eval-auc:0.688274 train-auc:0.994942
[278] eval-auc:0.688454 train-auc:0.995002
[279] eval-auc:0.68807 train-auc:0.99511
[280] eval-auc:0.687772 train-auc:0.995185
[281] eval-auc:0.688302 train-auc:0.995245
[282] eval-auc:0.688838 train-auc:0.995362
[283] eval-auc:0.688704 train-auc:0.995356
[284] eval-auc:0.688692 train-auc:0.995424
[285] eval-auc:0.688163 train-auc:0.995449
[286] eval-auc:0.687903 train-auc:0.995452
[287] eval-auc:0.688844 train-auc:0.995542
[288] eval-auc:0.689202 train-auc:0.995704
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[290] eval-auc:0.689284 train-auc:0.995702
[291] eval-auc:0.689543 train-auc:0.995737
[292] eval-auc:0.689806 train-auc:0.995856
[293] eval-auc:0.68982 train-auc:0.995845
[294] eval-auc:0.689748 train-auc:0.995913
[295] eval-auc:0.690811 train-auc:0.995974
[296] eval-auc:0.690916 train-auc:0.995972
[297] eval-auc:0.690472 train-auc:0.99604
[298] eval-auc:0.690568 train-auc:0.996117
[299] eval-auc:0.690919 train-auc:0.996193
[300] eval-auc:0.691062 train-auc:0.996194
[301] eval-auc:0.692325 train-auc:0.996178
[302] eval-auc:0.692392 train-auc:0.99619
[303] eval-auc:0.692137 train-auc:0.996213
[304] eval-auc:0.692051 train-auc:0.996285
[305] eval-auc:0.691507 train-auc:0.996306
[306] eval-auc:0.691831 train-auc:0.996503
[307] eval-auc:0.691988 train-auc:0.9966
[308] eval-auc:0.692121 train-auc:0.996654
[309] eval-auc:0.692156 train-auc:0.996656
[310] eval-auc:0.692141 train-auc:0.996698
[311] eval-auc:0.691822 train-auc:0.996739
[312] eval-auc:0.691509 train-auc:0.996729
[313] eval-auc:0.692148 train-auc:0.99673
[314] eval-auc:0.692106 train-auc:0.996724
[315] eval-auc:0.692957 train-auc:0.996745
[316] eval-auc:0.692862 train-auc:0.996803
[317] eval-auc:0.692682 train-auc:0.996851
[318] eval-auc:0.693201 train-auc:0.996895
[319] eval-auc:0.692992 train-auc:0.996895
[320] eval-auc:0.692967 train-auc:0.996941
[321] eval-auc:0.693595 train-auc:0.996999
[322] eval-auc:0.694697 train-auc:0.997037
[323] eval-auc:0.694708 train-auc:0.997038
[324] eval-auc:0.694402 train-auc:0.997024
[325] eval-auc:0.694781 train-auc:0.997043
[326] eval-auc:0.694358 train-auc:0.997092
[327] eval-auc:0.694096 train-auc:0.997107
[328] eval-auc:0.69447 train-auc:0.997168
[329] eval-auc:0.694262 train-auc:0.997177
[330] eval-auc:0.693876 train-auc:0.997212
[331] eval-auc:0.693656 train-auc:0.997271
[332] eval-auc:0.693793 train-auc:0.997381
[333] eval-auc:0.694024 train-auc:0.997383
[334] eval-auc:0.693566 train-auc:0.997427
[335] eval-auc:0.694006 train-auc:0.997438
[336] eval-auc:0.693817 train-auc:0.997434
[337] eval-auc:0.694068 train-auc:0.997439
[338] eval-auc:0.694148 train-auc:0.997511
[339] eval-auc:0.694379 train-auc:0.997504
[340] eval-auc:0.694199 train-auc:0.997498
[341] eval-auc:0.694062 train-auc:0.997526
[342] eval-auc:0.694253 train-auc:0.997571
[343] eval-auc:0.693968 train-auc:0.997579
[344] eval-auc:0.69431 train-auc:0.997609
[345] eval-auc:0.694106 train-auc:0.997645
[346] eval-auc:0.6934 train-auc:0.997699
[347] eval-auc:0.693018 train-auc:0.997724
[348] eval-auc:0.69183 train-auc:0.997752
[349] eval-auc:0.692264 train-auc:0.997824
[350] eval-auc:0.691865 train-auc:0.997847
[351] eval-auc:0.691787 train-auc:0.997883
[352] eval-auc:0.692699 train-auc:0.997974
[353] eval-auc:0.692527 train-auc:0.997979
[354] eval-auc:0.692995 train-auc:0.998002
[355] eval-auc:0.692669 train-auc:0.998018
[356] eval-auc:0.692538 train-auc:0.998024
[357] eval-auc:0.692407 train-auc:0.998054
[358] eval-auc:0.691807 train-auc:0.998074
[359] eval-auc:0.692035 train-auc:0.998104
[360] eval-auc:0.692357 train-auc:0.998111
[361] eval-auc:0.692147 train-auc:0.998117
[362] eval-auc:0.69234 train-auc:0.998112
[363] eval-auc:0.691241 train-auc:0.998138
[364] eval-auc:0.691177 train-auc:0.998165
[365] eval-auc:0.69119 train-auc:0.998208
[366] eval-auc:0.691786 train-auc:0.998211
[367] eval-auc:0.691356 train-auc:0.998237
[368] eval-auc:0.692025 train-auc:0.998258
[369] eval-auc:0.690863 train-auc:0.998244
[370] eval-auc:0.690694 train-auc:0.998266
[371] eval-auc:0.695634 train-auc:0.998272
[372] eval-auc:0.696115 train-auc:0.998277
[373] eval-auc:0.696127 train-auc:0.99828
[374] eval-auc:0.695431 train-auc:0.998289
[375] eval-auc:0.696027 train-auc:0.998307
[376] eval-auc:0.696451 train-auc:0.998396
[377] eval-auc:0.696439 train-auc:0.998442
[378] eval-auc:0.696552 train-auc:0.998551
[379] eval-auc:0.695615 train-auc:0.998559
[380] eval-auc:0.695679 train-auc:0.998579
[381] eval-auc:0.695667 train-auc:0.998588
[382] eval-auc:0.695861 train-auc:0.998595
[383] eval-auc:0.695682 train-auc:0.998611
[384] eval-auc:0.695134 train-auc:0.998611
[385] eval-auc:0.694962 train-auc:0.998606
[386] eval-auc:0.694479 train-auc:0.998616
[387] eval-auc:0.695238 train-auc:0.998657
[388] eval-auc:0.696231 train-auc:0.998653
[389] eval-auc:0.696123 train-auc:0.998739
[390] eval-auc:0.696528 train-auc:0.998775
[391] eval-auc:0.696292 train-auc:0.998798
[392] eval-auc:0.695918 train-auc:0.998834
[393] eval-auc:0.695667 train-auc:0.998836
[394] eval-auc:0.695682 train-auc:0.998837
[395] eval-auc:0.695561 train-auc:0.998847
[396] eval-auc:0.695771 train-auc:0.998884
[397] eval-auc:0.695928 train-auc:0.998885
[398] eval-auc:0.695427 train-auc:0.998887
[399] eval-auc:0.695722 train-auc:0.998865
[400] eval-auc:0.6958 train-auc:0.998894
[401] eval-auc:0.695577 train-auc:0.998882
[402] eval-auc:0.695501 train-auc:0.998917
[403] eval-auc:0.695896 train-auc:0.998926
[404] eval-auc:0.696826 train-auc:0.99894
[405] eval-auc:0.697035 train-auc:0.998967
[406] eval-auc:0.697313 train-auc:0.998969
[407] eval-auc:0.697193 train-auc:0.998972
[408] eval-auc:0.697249 train-auc:0.998947
[409] eval-auc:0.697502 train-auc:0.998943
[410] eval-auc:0.697734 train-auc:0.998971
[411] eval-auc:0.698114 train-auc:0.998972
Score 0.6981142418594454
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8, 'eta': 0.07500000000000001, 'eval_metric': 'auc', 'gamma': 0.7000000000000001, 'max_depth': 3, 'min_child_weight': 1.0, 'n_estimators': 511.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.8500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.651958 train-auc:0.692866
[1] eval-auc:0.661664 train-auc:0.706728
[2] eval-auc:0.676344 train-auc:0.719578
[3] eval-auc:0.670511 train-auc:0.726634
[4] eval-auc:0.674424 train-auc:0.737992
[5] eval-auc:0.677487 train-auc:0.732396
[6] eval-auc:0.678915 train-auc:0.736394
[7] eval-auc:0.678884 train-auc:0.733602
[8] eval-auc:0.68521 train-auc:0.739873
[9] eval-auc:0.689547 train-auc:0.737376
[10] eval-auc:0.691817 train-auc:0.740568
[11] eval-auc:0.688606 train-auc:0.743099
[12] eval-auc:0.689258 train-auc:0.740877
[13] eval-auc:0.692696 train-auc:0.739856
[14] eval-auc:0.694097 train-auc:0.7397
[15] eval-auc:0.691374 train-auc:0.74222
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[383] eval-auc:0.697405 train-auc:0.936997
[384] eval-auc:0.697729 train-auc:0.93725
[385] eval-auc:0.697574 train-auc:0.93771
[386] eval-auc:0.697461 train-auc:0.937635
[387] eval-auc:0.697645 train-auc:0.937684
[388] eval-auc:0.697679 train-auc:0.937711
[389] eval-auc:0.697613 train-auc:0.93815
[390] eval-auc:0.69722 train-auc:0.938609
[391] eval-auc:0.697467 train-auc:0.938823
[392] eval-auc:0.697584 train-auc:0.938913
[393] eval-auc:0.697884 train-auc:0.939131
[394] eval-auc:0.697927 train-auc:0.939418
[395] eval-auc:0.698072 train-auc:0.939481
[396] eval-auc:0.698017 train-auc:0.939776
[397] eval-auc:0.697979 train-auc:0.940067
[398] eval-auc:0.698072 train-auc:0.94008
[399] eval-auc:0.698203 train-auc:0.94031
[400] eval-auc:0.698478 train-auc:0.940415
[401] eval-auc:0.698775 train-auc:0.940407
[402] eval-auc:0.698655 train-auc:0.940505
[403] eval-auc:0.69844 train-auc:0.940626
[404] eval-auc:0.698375 train-auc:0.940719
[405] eval-auc:0.698289 train-auc:0.941108
[406] eval-auc:0.698481 train-auc:0.941124
[407] eval-auc:0.698705 train-auc:0.941224
[408] eval-auc:0.698791 train-auc:0.941436
[409] eval-auc:0.698754 train-auc:0.941351
[410] eval-auc:0.698582 train-auc:0.941443
[411] eval-auc:0.698161 train-auc:0.941479
[412] eval-auc:0.698428 train-auc:0.941852
[413] eval-auc:0.698126 train-auc:0.94196
[414] eval-auc:0.697654 train-auc:0.942114
[415] eval-auc:0.697769 train-auc:0.9422
[416] eval-auc:0.697709 train-auc:0.942274
[417] eval-auc:0.69767 train-auc:0.942381
[418] eval-auc:0.697785 train-auc:0.942344
[419] eval-auc:0.697517 train-auc:0.942325
[420] eval-auc:0.697466 train-auc:0.942695
[421] eval-auc:0.697444 train-auc:0.942642
[422] eval-auc:0.697627 train-auc:0.942669
[423] eval-auc:0.697756 train-auc:0.943097
[424] eval-auc:0.697392 train-auc:0.943237
[425] eval-auc:0.697638 train-auc:0.943315
[426] eval-auc:0.697374 train-auc:0.943498
[427] eval-auc:0.697421 train-auc:0.943767
[428] eval-auc:0.697513 train-auc:0.94378
[429] eval-auc:0.697487 train-auc:0.944215
[430] eval-auc:0.697607 train-auc:0.944432
[431] eval-auc:0.697746 train-auc:0.944532
[432] eval-auc:0.698082 train-auc:0.944642
[433] eval-auc:0.698047 train-auc:0.944923
[434] eval-auc:0.698168 train-auc:0.945208
[435] eval-auc:0.698256 train-auc:0.945018
[436] eval-auc:0.698394 train-auc:0.945149
[437] eval-auc:0.698055 train-auc:0.945477
[438] eval-auc:0.698303 train-auc:0.945604
[439] eval-auc:0.697755 train-auc:0.945618
[440] eval-auc:0.697953 train-auc:0.945633
[441] eval-auc:0.698225 train-auc:0.945951
[442] eval-auc:0.698554 train-auc:0.946066
[443] eval-auc:0.698684 train-auc:0.946185
[444] eval-auc:0.69863 train-auc:0.946423
[445] eval-auc:0.698544 train-auc:0.946578
[446] eval-auc:0.698643 train-auc:0.94676
[447] eval-auc:0.69838 train-auc:0.947068
[448] eval-auc:0.69855 train-auc:0.947217
[449] eval-auc:0.698108 train-auc:0.947412
[450] eval-auc:0.698076 train-auc:0.947297
[451] eval-auc:0.698292 train-auc:0.947525
[452] eval-auc:0.697967 train-auc:0.947587
[453] eval-auc:0.698222 train-auc:0.947976
[454] eval-auc:0.698079 train-auc:0.948239
[455] eval-auc:0.698105 train-auc:0.948378
[456] eval-auc:0.697884 train-auc:0.948347
[457] eval-auc:0.697919 train-auc:0.948795
[458] eval-auc:0.69763 train-auc:0.948932
[459] eval-auc:0.697717 train-auc:0.949142
[460] eval-auc:0.69772 train-auc:0.94909
[461] eval-auc:0.697737 train-auc:0.949164
[462] eval-auc:0.697313 train-auc:0.949152
[463] eval-auc:0.697385 train-auc:0.949474
[464] eval-auc:0.697689 train-auc:0.949561
[465] eval-auc:0.697927 train-auc:0.949622
[466] eval-auc:0.697685 train-auc:0.949732
[467] eval-auc:0.697906 train-auc:0.949861
[468] eval-auc:0.698088 train-auc:0.950071
[469] eval-auc:0.698131 train-auc:0.950121
[470] eval-auc:0.698285 train-auc:0.950207
[471] eval-auc:0.698183 train-auc:0.950471
[472] eval-auc:0.698212 train-auc:0.950588
[473] eval-auc:0.697991 train-auc:0.951033
[474] eval-auc:0.697854 train-auc:0.951067
[475] eval-auc:0.698277 train-auc:0.951334
[476] eval-auc:0.69848 train-auc:0.951431
[477] eval-auc:0.698678 train-auc:0.951549
[478] eval-auc:0.698877 train-auc:0.951637
[479] eval-auc:0.698876 train-auc:0.951614
[480] eval-auc:0.698918 train-auc:0.951744
[481] eval-auc:0.698912 train-auc:0.951881
[482] eval-auc:0.699104 train-auc:0.952027
[483] eval-auc:0.699229 train-auc:0.952113
[484] eval-auc:0.698972 train-auc:0.952385
[485] eval-auc:0.698987 train-auc:0.952556
[486] eval-auc:0.698905 train-auc:0.952745
[487] eval-auc:0.699071 train-auc:0.952728
[488] eval-auc:0.69931 train-auc:0.952893
[489] eval-auc:0.699494 train-auc:0.95294
[490] eval-auc:0.699611 train-auc:0.953144
[491] eval-auc:0.69939 train-auc:0.953277
[492] eval-auc:0.699492 train-auc:0.95359
[493] eval-auc:0.699626 train-auc:0.95388
[494] eval-auc:0.69957 train-auc:0.954154
[495] eval-auc:0.699342 train-auc:0.954326
[496] eval-auc:0.699669 train-auc:0.954259
[497] eval-auc:0.699832 train-auc:0.954528
[498] eval-auc:0.699537 train-auc:0.954662
[499] eval-auc:0.699707 train-auc:0.954814
[500] eval-auc:0.699789 train-auc:0.954965
[501] eval-auc:0.700045 train-auc:0.954963
[502] eval-auc:0.699756 train-auc:0.955309
[503] eval-auc:0.700019 train-auc:0.955301
[504] eval-auc:0.69976 train-auc:0.955379
[505] eval-auc:0.699648 train-auc:0.955579
[506] eval-auc:0.699186 train-auc:0.955644
[507] eval-auc:0.69925 train-auc:0.955774
[508] eval-auc:0.69929 train-auc:0.955871
[509] eval-auc:0.69923 train-auc:0.955947
[510] eval-auc:0.699476 train-auc:0.95615
Score 0.6994755691992837
Training with params:
{'booster': 'gbtree', 'colsample_bytree': 0.8, 'eta': 0.1, 'eval_metric': 'auc', 'gamma': 0.75, 'max_depth': 12, 'min_child_weight': 1.0, 'n_estimators': 236.0, 'nthread': 4, 'objective': 'binary:logistic', 'scale_pos_weight': 10, 'seed': 0, 'silent': 1, 'subsample': 0.9500000000000001, 'tree_method': 'exact'}
[0] eval-auc:0.631167 train-auc:0.862613
[1] eval-auc:0.622745 train-auc:0.935006
[2] eval-auc:0.613838 train-auc:0.965122
[3] eval-auc:0.627183 train-auc:0.981361
[4] eval-auc:0.649618 train-auc:0.988792
[5] eval-auc:0.644505 train-auc:0.99316
[6] eval-auc:0.64637 train-auc:0.994511
[7] eval-auc:0.642202 train-auc:0.995065
[8] eval-auc:0.649529 train-auc:0.996966
[9] eval-auc:0.648621 train-auc:0.998045
[10] eval-auc:0.660013 train-auc:0.99911
[11] eval-auc:0.658158 train-auc:0.999259
[12] eval-auc:0.659126 train-auc:0.999451
[13] eval-auc:0.659396 train-auc:0.999559
[14] eval-auc:0.660341 train-auc:0.999644
[15] eval-auc:0.661829 train-auc:0.999665
[16] eval-auc:0.661518 train-auc:0.999744
[17] eval-auc:0.670461 train-auc:0.999836
[18] eval-auc:0.668167 train-auc:0.999873
[19] eval-auc:0.671061 train-auc:0.999912
[20] eval-auc:0.672129 train-auc:0.999934
[21] eval-auc:0.678945 train-auc:0.999943
[22] eval-auc:0.682065 train-auc:0.999944
[23] eval-auc:0.684349 train-auc:0.99995
[24] eval-auc:0.690638 train-auc:0.999953
[25] eval-auc:0.689319 train-auc:0.999959
[26] eval-auc:0.68985 train-auc:0.999982
[27] eval-auc:0.69331 train-auc:0.999984
[28] eval-auc:0.693608 train-auc:0.999985
[29] eval-auc:0.692022 train-auc:0.999987
[30] eval-auc:0.692469 train-auc:0.999996
[31] eval-auc:0.691542 train-auc:0.999996
[32] eval-auc:0.692759 train-auc:0.999998
[33] eval-auc:0.693782 train-auc:0.999999
[34] eval-auc:0.692299 train-auc:0.999999
[35] eval-auc:0.695037 train-auc:0.999999
[36] eval-auc:0.694792 train-auc:0.999999
[37] eval-auc:0.695191 train-auc:1
[38] eval-auc:0.695252 train-auc:1
[39] eval-auc:0.693756 train-auc:1
[40] eval-auc:0.694056 train-auc:1
[41] eval-auc:0.692867 train-auc:1
[42] eval-auc:0.692958 train-auc:1
[43] eval-auc:0.693339 train-auc:1
[44] eval-auc:0.695407 train-auc:1
[45] eval-auc:0.695188 train-auc:1
[46] eval-auc:0.695839 train-auc:1
[47] eval-auc:0.695596 train-auc:1
[48] eval-auc:0.695702 train-auc:1
[49] eval-auc:0.695524 train-auc:1
[50] eval-auc:0.695491 train-auc:1
[51] eval-auc:0.694808 train-auc:1
[52] eval-auc:0.694432 train-auc:1
[53] eval-auc:0.695012 train-auc:1
[54] eval-auc:0.694682 train-auc:1
[55] eval-auc:0.694924 train-auc:1
[56] eval-auc:0.694565 train-auc:1
[57] eval-auc:0.694557 train-auc:1
[58] eval-auc:0.693551 train-auc:1
[59] eval-auc:0.694755 train-auc:1
[60] eval-auc:0.695407 train-auc:1
[61] eval-auc:0.695484 train-auc:1
[62] eval-auc:0.695842 train-auc:1
[63] eval-auc:0.696891 train-auc:1
[64] eval-auc:0.696689 train-auc:1
[65] eval-auc:0.698404 train-auc:1
[66] eval-auc:0.698851 train-auc:1
[67] eval-auc:0.69814 train-auc:1
[68] eval-auc:0.698102 train-auc:1
[69] eval-auc:0.697953 train-auc:1
[70] eval-auc:0.698037 train-auc:1
[71] eval-auc:0.698763 train-auc:1
[72] eval-auc:0.698579 train-auc:1
[73] eval-auc:0.697831 train-auc:1
[74] eval-auc:0.697762 train-auc:1
[75] eval-auc:0.697528 train-auc:1
[76] eval-auc:0.697467 train-auc:1
[77] eval-auc:0.696981 train-auc:1
[78] eval-auc:0.696593 train-auc:1
[79] eval-auc:0.696789 train-auc:1
[80] eval-auc:0.698286 train-auc:1
[81] eval-auc:0.697986 train-auc:1
[82] eval-auc:0.698047 train-auc:1
[83] eval-auc:0.698192 train-auc:1
[84] eval-auc:0.698158 train-auc:1
[85] eval-auc:0.698288 train-auc:1
[86] eval-auc:0.69848 train-auc:1
[87] eval-auc:0.698767 train-auc:1
[88] eval-auc:0.69839 train-auc:1
[89] eval-auc:0.697956 train-auc:1
[90] eval-auc:0.698011 train-auc:1
[91] eval-auc:0.698251 train-auc:1
[92] eval-auc:0.698656 train-auc:1
[93] eval-auc:0.698372 train-auc:1
[94] eval-auc:0.698142 train-auc:1
[95] eval-auc:0.698282 train-auc:1
[96] eval-auc:0.698308 train-auc:1
[97] eval-auc:0.698314 train-auc:1
[98] eval-auc:0.698245 train-auc:1
[99] eval-auc:0.698294 train-auc:1
[100] eval-auc:0.698879 train-auc:1
[101] eval-auc:0.69837 train-auc:1
[102] eval-auc:0.698292 train-auc:1
[103] eval-auc:0.698274 train-auc:1
[104] eval-auc:0.698215 train-auc:1
[105] eval-auc:0.698201 train-auc:1
[106] eval-auc:0.698821 train-auc:1
[107] eval-auc:0.698649 train-auc:1
[108] eval-auc:0.698886 train-auc:1
[109] eval-auc:0.698745 train-auc:1
[110] eval-auc:0.699538 train-auc:1
[111] eval-auc:0.699246 train-auc:1
[112] eval-auc:0.699147 train-auc:1
[113] eval-auc:0.699549 train-auc:1
[114] eval-auc:0.699613 train-auc:1
[115] eval-auc:0.699616 train-auc:1
[116] eval-auc:0.699631 train-auc:1
[117] eval-auc:0.699661 train-auc:1
[118] eval-auc:0.700001 train-auc:1
[119] eval-auc:0.699833 train-auc:1
[120] eval-auc:0.700452 train-auc:1
[121] eval-auc:0.700672 train-auc:1
[122] eval-auc:0.700371 train-auc:1
[123] eval-auc:0.700677 train-auc:1
[124] eval-auc:0.701001 train-auc:1
[125] eval-auc:0.700931 train-auc:1
[126] eval-auc:0.700898 train-auc:1
[127] eval-auc:0.701071 train-auc:1
[128] eval-auc:0.701218 train-auc:1
[129] eval-auc:0.701102 train-auc:1
[130] eval-auc:0.701566 train-auc:1
[131] eval-auc:0.701658 train-auc:1
[132] eval-auc:0.701918 train-auc:1
[133] eval-auc:0.701498 train-auc:1
[134] eval-auc:0.701056 train-auc:1
[135] eval-auc:0.701134 train-auc:1
[136] eval-auc:0.70105 train-auc:1
[137] eval-auc:0.701519 train-auc:1
[138] eval-auc:0.701551 train-auc:1
[139] eval-auc:0.701635 train-auc:1
[140] eval-auc:0.701371 train-auc:1
[141] eval-auc:0.701406 train-auc:1
[142] eval-auc:0.700893 train-auc:1
[143] eval-auc:0.700837 train-auc:1
[144] eval-auc:0.700899 train-auc:1
[145] eval-auc:0.70088 train-auc:1
[146] eval-auc:0.700873 train-auc:1
[147] eval-auc:0.700873 train-auc:1
[148] eval-auc:0.700939 train-auc:1
[149] eval-auc:0.701084 train-auc:1
[150] eval-auc:0.70116 train-auc:1
[151] eval-auc:0.701405 train-auc:1
[152] eval-auc:0.701291 train-auc:1
[153] eval-auc:0.701291 train-auc:1
[154] eval-auc:0.701263 train-auc:1
[155] eval-auc:0.70123 train-auc:1
[156] eval-auc:0.701508 train-auc:1
[157] eval-auc:0.701749 train-auc:1
[158] eval-auc:0.701543 train-auc:1
[159] eval-auc:0.70155 train-auc:1
[160] eval-auc:0.701441 train-auc:1
[161] eval-auc:0.70151 train-auc:1
[162] eval-auc:0.701837 train-auc:1
[163] eval-auc:0.701953 train-auc:1
[164] eval-auc:0.702081 train-auc:1
[165] eval-auc:0.702087 train-auc:1
[166] eval-auc:0.701903 train-auc:1
[167] eval-auc:0.701479 train-auc:1
[168] eval-auc:0.701243 train-auc:1
[169] eval-auc:0.701205 train-auc:1
[170] eval-auc:0.701644 train-auc:1
[171] eval-auc:0.701792 train-auc:1
[172] eval-auc:0.701792 train-auc:1
[173] eval-auc:0.701792 train-auc:1
[174] eval-auc:0.701971 train-auc:1
[175] eval-auc:0.702401 train-auc:1
[176] eval-auc:0.702603 train-auc:1
[177] eval-auc:0.702775 train-auc:1
[178] eval-auc:0.702801 train-auc:1
[179] eval-auc:0.702911 train-auc:1
[180] eval-auc:0.702812 train-auc:1
[181] eval-auc:0.702966 train-auc:1
[182] eval-auc:0.702984 train-auc:1
[183] eval-auc:0.702795 train-auc:1
[184] eval-auc:0.702868 train-auc:1
[185] eval-auc:0.702745 train-auc:1
[186] eval-auc:0.702538 train-auc:1
[187] eval-auc:0.702245 train-auc:1
[188] eval-auc:0.702352 train-auc:1
[189] eval-auc:0.702134 train-auc:1
[190] eval-auc:0.701923 train-auc:1
[191] eval-auc:0.701845 train-auc:1
[192] eval-auc:0.702114 train-auc:1
[193] eval-auc:0.70181 train-auc:1
[194] eval-auc:0.701979 train-auc:1
[195] eval-auc:0.701993 train-auc:1
[196] eval-auc:0.70191 train-auc:1
[197] eval-auc:0.702131 train-auc:1
[198] eval-auc:0.702166 train-auc:1
[199] eval-auc:0.702072 train-auc:1
[200] eval-auc:0.701885 train-auc:1
[201] eval-auc:0.701612 train-auc:1
[202] eval-auc:0.701612 train-auc:1
[203] eval-auc:0.701612 train-auc:1
[204] eval-auc:0.701693 train-auc:1
[205] eval-auc:0.701694 train-auc:1
[206] eval-auc:0.701612 train-auc:1
[207] eval-auc:0.701586 train-auc:1
[208] eval-auc:0.70162 train-auc:1
[209] eval-auc:0.701613 train-auc:1
[210] eval-auc:0.701711 train-auc:1
[211] eval-auc:0.701647 train-auc:1
[212] eval-auc:0.701813 train-auc:1
[213] eval-auc:0.702463 train-auc:1
[214] eval-auc:0.702382 train-auc:1
[215] eval-auc:0.702382 train-auc:1
[216] eval-auc:0.702434 train-auc:1
[217] eval-auc:0.703197 train-auc:1
[218] eval-auc:0.703161 train-auc:1
[219] eval-auc:0.703068 train-auc:1
[220] eval-auc:0.703115 train-auc:1
[221] eval-auc:0.703209 train-auc:1
[222] eval-auc:0.702955 train-auc:1
[223] eval-auc:0.703001 train-auc:1
[224] eval-auc:0.702632 train-auc:1
[225] eval-auc:0.702725 train-auc:1
[226] eval-auc:0.702725 train-auc:1
[227] eval-auc:0.702826 train-auc:1
[228] eval-auc:0.702826 train-auc:1
[229] eval-auc:0.702949 train-auc:1
[230] eval-auc:0.703217 train-auc:1
[231] eval-auc:0.702982 train-auc:1
[232] eval-auc:0.70287 train-auc:1
[233] eval-auc:0.70287 train-auc:1
[234] eval-auc:0.702915 train-auc:1
[235] eval-auc:0.702784 train-auc:1
Score 0.7027844778228508
The best hyperparameters are:
{'colsample_bytree': 0.9500000000000001, 'eta': 0.05, 'gamma': 0.9500000000000001, 'max_depth': 2, 'min_child_weight': 1.0, 'n_estimators': 276.0, 'subsample': 1.0}
Таким образом, лучшие параметры:
In [414]:
params = {
'num_round': 276,
'eta': 0.05,
'max_depth': 2,
'min_child_weight': 1,
'colsample_bytree': 0.95,
'subsample': 1,
'silent': 1,
'gamma': 0.95,
'scale_pos_weight': 10,
'nthread' : 4,
'silent' : 1,
'booster': 'gbtree',
'tree_method': 'exact'
}
In [415]:
xgb_model = xgb.XGBClassifier(**params).fit(X_train, y_train)
In [416]:
y_predict = xgb_model.predict(X_test)
/anaconda3/lib/python3.6/site-packages/sklearn/preprocessing/label.py:151: DeprecationWarning: The truth value of an empty array is ambiguous. Returning False, but in future this will result in an error. Use `array.size > 0` to check that an array is not empty. if diff:
In [417]:
print("ROC_AUC модели: " + str(roc_auc_score(y_test, y_predict)))
print("Другие метрик модели:")
print(metrics.classification_report(y_test, y_predict))
print("TP, FP, FN, TN:")
print(metrics.confusion_matrix(y_test, y_predict))
ROC_AUC модели: 0.6704202146450803
Другие метрик модели:
precision recall f1-score support
0 0.96 0.56 0.71 2606
1 0.15 0.78 0.25 252
avg / total 0.89 0.58 0.67 2858
TP, FP, FN, TN:
[[1457 1149]
[ 55 197]]
In [418]:
sns.set(font_scale=1.5)
sns.set_color_codes("muted")
plt.figure(figsize=(10, 8))
fpr, tpr, thresholds = metrics.roc_curve(y_test, xgb_model.predict_proba(X_test)[:,1], pos_label=1)
lw = 2
plt.plot(fpr, tpr, lw=lw, label='ROC curve ')
plt.plot([0, 1], [0, 1])
plt.xlim([0.0, 1.0])
plt.ylim([0.0, 1.05])
plt.xlabel('False Positive Rate')
plt.ylabel('True Positive Rate')
plt.title('ROC curve')
plt.show()
Вывод: XGBOOST дал лучший результат, его минус настройка гиперпараметров и риск переобучения, у случайного леса таких рисков нет.